6_2_gcta_uni_result.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "\n",
    "import logging\n",
    "import re\n",
    "import pathlib\n",
    "\n",
    "import datetime\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.stats import pearsonr\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from pyplink import PyPlink\n",
    "\n",
    "import statsmodels.api as sm\n",
    "\n",
    "from basic_tools import *\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plink_KCHIP_HLA_AA_SNP_1000G=PyPlink(plink_KCHIP_HLA_AA_SNP_1000G_path)\n",
    "plink_KCHIP_HLA_AA_SNP_1000G_fam=plink_KCHIP_HLA_AA_SNP_1000G.get_fam().astype({'fid':str,'iid':str}).rename(columns={'fid':'FID','iid':'IID'})\n",
    "plink_KCHIP_HLA_AA_SNP_1000G_bim=plink_KCHIP_HLA_AA_SNP_1000G.get_bim()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'ID  age  sex  asthma  chronic_bronchitis  allergic_disease  stomach_cancer  liver_cancer  colorectal_cancer  breast_cancer  cervical_cancer  lung_cancer  thyroid_cancer  prostate_cancer  bladder_cancer  colon_polyps  angina_pectoris_myocardial_infarction  hypertension  stroke  transient_ischemic_attacks  acute_liver_disease  diabetes  t2_diabetes  hyperlipidemia  thyroid_disease  arthritis  rheumatoid_arthritis  osteoporosis  parkinson  pwi_total  chronic_gastritis_stomach_ulcer  duodenal_ulcer  urinary_tract_infection  height  hip_circumference  waist_circumference  weight  systolic_blood_pressure  diastolic_blood_pressure  pulse  hysterectomy  menarche_onset_age  menopause_age  menopause_cycle  ovarian_extraction  child_delivery_number  big_baby  small_baby  child_present  child_dead  hematocrit  hemoglobin  platelet  rbc  wbc  mcv  mch  mchc  total_bilirubin  bun  creatinine  blood_in_urine  glucose_in_urine  alt  ast  gtp  total_cholesterol  hdl_cholesterol  hba1c  freet4  tsh  triglyceride  albumin  hscrp  protein_in_urine  heart_failure  peripheral_vascular_diseases  cataract  glaucoma  renal_failure  renin  fatty_liver  copd  tuberculosis  benign_prostatic_hyperplasia  gout  fracture  cholelithiasis_cholecystitis  periodontal_disease  insomnia  sleep_duration  neurosis  grip_strength  FVC_predicted  FEV_predicted  FEV_over_FVC_predicted  MVV_predicted  bone_density_distal_sos  bone_density_midshaft_sos  protein_in_blood  cohort  bmi'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotypes=pd.read_csv(pheno_all_file_path,sep='\\t')\n",
    "'  '.join(phenotypes.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(125673, 101)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotypes=phenotypes.set_index('ID').loc[plink_KCHIP_HLA_AA_SNP_1000G_fam['IID']]\n",
    "phenotypes.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert (phenotypes.index!=plink_KCHIP_HLA_AA_SNP_1000G_fam['IID']).sum()==0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Index(['FEV_over_FVC_predicted', 'FEV_predicted', 'FVC_predicted',\n",
       "        'MVV_predicted', 'acute_liver_disease', 'albumin', 'allergic_disease',\n",
       "        'alt', 'angina_pectoris_myocardial_infarction', 'arthritis', 'ast',\n",
       "        'asthma', 'benign_prostatic_hyperplasia', 'big_baby', 'bladder_cancer',\n",
       "        'blood_in_urine', 'bmi', 'bone_density_distal_sos',\n",
       "        'bone_density_midshaft_sos', 'breast_cancer', 'bun', 'cataract',\n",
       "        'cervical_cancer', 'child_dead', 'child_delivery_number',\n",
       "        'child_present', 'cholelithiasis_cholecystitis', 'chronic_bronchitis',\n",
       "        'chronic_gastritis_stomach_ulcer', 'colon_polyps', 'colorectal_cancer',\n",
       "        'copd', 'creatinine', 'diastolic_blood_pressure', 'duodenal_ulcer',\n",
       "        'fatty_liver', 'fracture', 'freet4', 'glaucoma', 'glucose_in_urine',\n",
       "        'gout', 'grip_strength', 'gtp', 'hba1c', 'hdl_cholesterol',\n",
       "        'heart_failure', 'height', 'hematocrit', 'hemoglobin',\n",
       "        'hip_circumference', 'hscrp', 'hyperlipidemia', 'hypertension',\n",
       "        'hysterectomy', 'insomnia', 'liver_cancer', 'lung_cancer', 'mch',\n",
       "        'mchc', 'mcv', 'menarche_onset_age', 'menopause_age', 'menopause_cycle',\n",
       "        'neurosis', 'osteoporosis', 'ovarian_extraction', 'parkinson',\n",
       "        'periodontal_disease', 'peripheral_vascular_diseases', 'platelet',\n",
       "        'prostate_cancer', 'protein_in_blood', 'protein_in_urine', 'pulse',\n",
       "        'pwi_total', 'rbc', 'renal_failure', 'renin', 'rheumatoid_arthritis',\n",
       "        'sleep_duration', 'small_baby', 'stomach_cancer', 'stroke',\n",
       "        'systolic_blood_pressure', 't2_diabetes', 'thyroid_cancer',\n",
       "        'thyroid_disease', 'total_bilirubin', 'total_cholesterol',\n",
       "        'transient_ischemic_attacks', 'triglyceride', 'tsh', 'tuberculosis',\n",
       "        'urinary_tract_infection', 'waist_circumference', 'wbc', 'weight'],\n",
       "       dtype='object'), 97)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_continuous_traits=phenotypes.columns.difference(['age','sex','cohort','diabetes'])\n",
    "binary_continuous_traits,len(binary_continuous_traits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "phenotype_name='t2_diabetes'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'binary'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pheno=pd.read_csv(data_out_pheno_path+phenotype_name+'.phe',sep='\\t',header=None,names=['FID','IID','pheno'])\n",
    "phenotype_type='binary' if len(pheno['pheno'][pheno['pheno']!=-9].value_counts())<3 else 'continuous'\n",
    "phenotype_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>HE-CP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Coefficient</th>\n",
       "      <th>Estimate</th>\n",
       "      <th>SE_OLS</th>\n",
       "      <th>SE_Jackknife</th>\n",
       "      <th>P_OLS</th>\n",
       "      <td>P_Jackknife</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intercept</th>\n",
       "      <th>-1.12233e-05</th>\n",
       "      <th>1.58691e-05</th>\n",
       "      <th>2.04526e-07</th>\n",
       "      <th>0.479417</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V(G)/Vp</th>\n",
       "      <th>0.000603416</th>\n",
       "      <th>0.000105658</th>\n",
       "      <th>0.000277052</th>\n",
       "      <th>1.1228e-08</th>\n",
       "      <td>0.0294068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HE-SD</th>\n",
       "      <th>NaN</th>\n",
       "      <th>NaN</th>\n",
       "      <th>NaN</th>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coefficient</th>\n",
       "      <th>Estimate</th>\n",
       "      <th>SE_OLS</th>\n",
       "      <th>SE_Jackknife</th>\n",
       "      <th>P_OLS</th>\n",
       "      <td>P_Jackknife</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Intercept</th>\n",
       "      <th>-1</th>\n",
       "      <th>3.43968e-05</th>\n",
       "      <th>0.00911003</th>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V(G)/Vp</th>\n",
       "      <th>0.000473182</th>\n",
       "      <th>0.000229016</th>\n",
       "      <th>0.000530214</th>\n",
       "      <th>0.0388137</th>\n",
       "      <td>0.372161</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    HE-CP\n",
       "Coefficient Estimate     SE_OLS      SE_Jackknife P_OLS       P_Jackknife\n",
       "Intercept   -1.12233e-05 1.58691e-05 2.04526e-07  0.479417              0\n",
       "V(G)/Vp     0.000603416  0.000105658 0.000277052  1.1228e-08    0.0294068\n",
       "HE-SD       NaN          NaN         NaN          NaN                 NaN\n",
       "Coefficient Estimate     SE_OLS      SE_Jackknife P_OLS       P_Jackknife\n",
       "Intercept   -1           3.43968e-05 0.00911003   0                     0\n",
       "V(G)/Vp     0.000473182  0.000229016 0.000530214  0.0388137      0.372161"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('data/out_gcta/{}.HEreg'.format(phenotype_name),sep=r'\\s+')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "freet4 pass\n",
      "peripheral_vascular_diseases pass\n"
     ]
    }
   ],
   "source": [
    "result_list=[]\n",
    "for phenotype_name in binary_continuous_traits:\n",
    "    #pheno[pheno['pheno']!=-9].to_csv(data_out_gcta_path+phenotype_name+'.phe',sep='\\t',index=None,header=None)\n",
    "    try:\n",
    "        result=pd.read_csv('data/out_gcta/{}.HEreg'.format(phenotype_name),skiprows=[0,5,6,7,8],sep=r'\\s+',index_col=0)\n",
    "        result=result.astype(float)\n",
    "        result=result.unstack().to_frame().sort_index(level=1).T\n",
    "    except:\n",
    "        print(phenotype_name,'pass')\n",
    "        continue\n",
    "\n",
    "    result.columns = result.columns.map(lambda x: '-'.join(x[::-1]))\n",
    "    result.index=[phenotype_name]#[result_file.split('/')[-1].split('.')[0]]\n",
    "\n",
    "    pheno=pd.read_csv(data_out_pheno_path+phenotype_name+'.phe',sep='\\t',header=None,names=['FID','IID','pheno'])\n",
    "    phenotype_type='binary' if len(pheno['pheno'][pheno['pheno']!=-9].value_counts())<3 else 'continuous'\n",
    "        \n",
    "    result['phenotype_type']=phenotype_type\n",
    "    #print(result.columns)\n",
    "    if phenotype_type=='binary':\n",
    "        with open(data_out_pheno_path+phenotype_name+'.phe'+'.prev','r') as f:\n",
    "            prev=float(f.read())\n",
    "        #print('prev',prev)   \n",
    "        result['prevalence']=prev\n",
    "    result_list.append(result)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "result_concat=pd.concat(result_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import norm\n",
    "def h2_obs_to_liab(h2_obs, P, K):\n",
    "    '''\n",
    "    Converts heritability on the observed scale in an ascertained sample to heritability\n",
    "    on the liability scale in the population.\n",
    "    Parameters\n",
    "    ----------\n",
    "    h2_obs : float\n",
    "        Heritability on the observed scale in an ascertained sample.\n",
    "    P : float in (0,1)\n",
    "        Prevalence of the phenotype in the sample.\n",
    "    K : float in (0,1)\n",
    "        Prevalence of the phenotype in the population.\n",
    "    Returns\n",
    "    -------\n",
    "    h2_liab : float\n",
    "        Heritability of liability in the population.\n",
    "    '''\n",
    "    if np.isnan(P) and np.isnan(K):\n",
    "        return h2_obs\n",
    "    if K <= 0 or K >= 1:\n",
    "        raise ValueError('K must be in the range (0,1)')\n",
    "    if P <= 0 or P >= 1:\n",
    "        raise ValueError('P must be in the range (0,1)')\n",
    "\n",
    "    thresh = norm.isf(K)\n",
    "    conversion_factor = K ** 2 * \\\n",
    "        (1 - K) ** 2 / (P * (1 - P) * norm.pdf(thresh) ** 2)\n",
    "    return h2_obs * conversion_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FEV_over_FVC_predicted', 'FEV_predicted', 'FVC_predicted',\n",
       "       'MVV_predicted', 'acute_liver_disease', 'albumin', 'allergic_disease',\n",
       "       'alt', 'angina_pectoris_myocardial_infarction', 'arthritis', 'ast',\n",
       "       'asthma', 'benign_prostatic_hyperplasia', 'big_baby', 'bladder_cancer',\n",
       "       'blood_in_urine', 'bmi', 'bone_density_distal_sos',\n",
       "       'bone_density_midshaft_sos', 'breast_cancer', 'bun', 'cataract',\n",
       "       'cervical_cancer', 'child_dead', 'child_delivery_number',\n",
       "       'child_present', 'cholelithiasis_cholecystitis', 'chronic_bronchitis',\n",
       "       'chronic_gastritis_stomach_ulcer', 'colon_polyps', 'colorectal_cancer',\n",
       "       'copd', 'creatinine', 'diastolic_blood_pressure', 'duodenal_ulcer',\n",
       "       'fatty_liver', 'fracture', 'freet4', 'glaucoma', 'glucose_in_urine',\n",
       "       'gout', 'grip_strength', 'gtp', 'hba1c', 'hdl_cholesterol',\n",
       "       'heart_failure', 'height', 'hematocrit', 'hemoglobin',\n",
       "       'hip_circumference', 'hscrp', 'hyperlipidemia', 'hypertension',\n",
       "       'hysterectomy', 'insomnia', 'liver_cancer', 'lung_cancer', 'mch',\n",
       "       'mchc', 'mcv', 'menarche_onset_age', 'menopause_age', 'menopause_cycle',\n",
       "       'neurosis', 'osteoporosis', 'ovarian_extraction', 'parkinson',\n",
       "       'periodontal_disease', 'peripheral_vascular_diseases', 'platelet',\n",
       "       'prostate_cancer', 'protein_in_blood', 'protein_in_urine', 'pulse',\n",
       "       'pwi_total', 'rbc', 'renal_failure', 'renin', 'rheumatoid_arthritis',\n",
       "       'sleep_duration', 'small_baby', 'stomach_cancer', 'stroke',\n",
       "       'systolic_blood_pressure', 't2_diabetes', 'thyroid_cancer',\n",
       "       'thyroid_disease', 'total_bilirubin', 'total_cholesterol',\n",
       "       'transient_ischemic_attacks', 'triglyceride', 'tsh', 'tuberculosis',\n",
       "       'urinary_tract_infection', 'waist_circumference', 'wbc', 'weight'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binary_continuous_traits.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Intercept-Estimate        -0.00020126\n",
       "Intercept-P_Jackknife      1.8076e-28\n",
       "Intercept-P_OLS              0.479158\n",
       "Intercept-SE_Jackknife    1.81851e-05\n",
       "Intercept-SE_OLS          0.000284403\n",
       "V(G)/Vp-Estimate         -0.000358185\n",
       "V(G)/Vp-P_Jackknife          0.870999\n",
       "V(G)/Vp-P_OLS                0.847176\n",
       "V(G)/Vp-SE_Jackknife       0.00220571\n",
       "V(G)/Vp-SE_OLS             0.00185855\n",
       "phenotype_type                 binary\n",
       "prevalence                  0.0500854\n",
       "h2_liab                   -0.00159773\n",
       "Name: rheumatoid_arthritis, dtype: object"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_concat.loc[ 'rheumatoid_arthritis']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_concat['h2_liab']=result_concat.apply(lambda row: h2_obs_to_liab(row['V(G)/Vp-Estimate'],row['prevalence'],row['prevalence']) if row['phenotype_type']=='binary' else row['V(G)/Vp-Estimate'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_concat.to_csv(data_out_gcta_path+'result_uni.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:23: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot=result_concat[result_concat['h2_liab']>0]\n",
    "toplot=toplot.sort_values('h2_liab',ascending=True).iloc[int(3*len(toplot)/10):]\n",
    "\n",
    "phenotype_info=pd.read_csv('data/phenotype_pubname.tsv',sep='\\t',index_col=0)\n",
    "\n",
    "phenotype_info.loc[toplot.index]\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (5,30)\n",
    "plt.rcParams[\"font.size\"] = 20\n",
    "\n",
    "\n",
    "phenotype_category_color=pd.Series(index=phenotype_info.loc[toplot.index]['phenotype_category'].unique())\n",
    "cnt=1\n",
    "for phenotype_category,row in phenotype_category_color.items():\n",
    "    if 'Other' in phenotype_category:\n",
    "        phenotype_category_color[phenotype_category]=0\n",
    "        \n",
    "    elif (phenotype_info.loc[toplot.index]['phenotype_category']==phenotype_category).sum()<3:\n",
    "        phenotype_category_color[phenotype_category]=0\n",
    "    else:\n",
    "        phenotype_category_color[phenotype_category]=cnt;cnt+=1\n",
    "#print(phenotype_category_color)\n",
    "cmap_temp=plt.cm.rainbow(np.linspace(0,1,phenotype_category_color.max()))\n",
    "cmap_temp=[[color[0]*0.6,color[1]*0.6,color[2]*0.6,color[3]] for color in cmap_temp]\n",
    "np.random.shuffle(cmap_temp)\n",
    "cmap_temp=np.concatenate(([[0,0,0,1]],cmap_temp))   \n",
    "#print(phenotype_category_color)\n",
    "phenotype_category_color=phenotype_category_color.map(lambda x: cmap_temp[int(x)])\n",
    "\n",
    "colors=phenotype_category_color.loc[phenotype_info.loc[toplot.index]['phenotype_category']].values\n",
    "\n",
    "toplot.index=phenotype_info.loc[toplot.index]['phenotype_name_publication']\n",
    "\n",
    "ax=toplot['h2_liab'].plot.barh(linewidth=0.1,color=colors,alpha=0.7)\n",
    "\n",
    "plt.ylabel('')\n",
    "plt.xlabel('')\n",
    "\n",
    "ax.xaxis.set_ticks_position('top')\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "\n",
    "plt.xscale('log')\n",
    "\n",
    "plt.savefig('figure_h2.svg', bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Hematological QTL           [0.00117647058823529, 0.42556878456351205, 0.5...\n",
       "Anthropometric QTL          [0.6, 7.347880794884119e-17, 3.673940397442059...\n",
       "Eye-related disease                                      [0.0, 0.0, 0.0, 1.0]\n",
       "Liver-related QTL                                        [0.0, 0.0, 0.0, 1.0]\n",
       "Protein QTL                 [0.30235294117647055, 0.5999886164092361, 0.42...\n",
       "Other diseases                                           [0.0, 0.0, 0.0, 1.0]\n",
       "Kidney-related QTL                                       [0.0, 0.0, 0.0, 1.0]\n",
       "Orthopedic disorders                                     [0.0, 0.0, 0.0, 1.0]\n",
       "Other QTL                                                [0.0, 0.0, 0.0, 1.0]\n",
       "Metabolic QTL                                            [0.3, 0.0, 0.6, 1.0]\n",
       "Cardiovascular disease                                   [0.0, 0.0, 0.0, 1.0]\n",
       "Metabolic diseases                                       [0.0, 0.0, 0.0, 1.0]\n",
       "Immune-related diseases                                  [0.0, 0.0, 0.0, 1.0]\n",
       "Liver-related diseases                                   [0.0, 0.0, 0.0, 1.0]\n",
       "Cancer                      [0.6, 0.4203258225559746, 0.2270466300253862, ...\n",
       "Nervous system diseases                                  [0.0, 0.0, 0.0, 1.0]\n",
       "Thyroid-related diseases                                 [0.0, 0.0, 0.0, 1.0]\n",
       "Kidney-related disease                                   [0.0, 0.0, 0.0, 1.0]\n",
       "dtype: object"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phenotype_category_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Object `plot.barh` not found.\n"
     ]
    }
   ],
   "source": [
    "toplot['h2_liab'].sort_values(ascending=True).plot.barh?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "toplot['h2_liab'].sort_values(ascending=True).plot.barh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method SeriesPlotMethods.barh of <pandas.plotting._core.SeriesPlotMethods object at 0x7f12205ea2b0>>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toplot['h2_liab'].sort_values(ascending=True).plot.barh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Intercept-Estimate</th>\n",
       "      <th>Intercept-P_Jackknife</th>\n",
       "      <th>Intercept-P_OLS</th>\n",
       "      <th>Intercept-SE_Jackknife</th>\n",
       "      <th>Intercept-SE_OLS</th>\n",
       "      <th>V(G)/Vp-Estimate</th>\n",
       "      <th>V(G)/Vp-P_Jackknife</th>\n",
       "      <th>V(G)/Vp-P_OLS</th>\n",
       "      <th>V(G)/Vp-SE_Jackknife</th>\n",
       "      <th>V(G)/Vp-SE_OLS</th>\n",
       "      <th>phenotype_type</th>\n",
       "      <th>prevalence</th>\n",
       "      <th>h2_liab</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pwi_total</th>\n",
       "      <td>-0.000009</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479508</td>\n",
       "      <td>8.483010e-08</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>8.087900e-01</td>\n",
       "      <td>7.308720e-01</td>\n",
       "      <td>0.000127</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>osteoporosis</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479467</td>\n",
       "      <td>2.740450e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>9.427920e-01</td>\n",
       "      <td>9.367220e-01</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.047926</td>\n",
       "      <td>0.000041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FVC_predicted</th>\n",
       "      <td>-0.000134</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479416</td>\n",
       "      <td>3.062940e-06</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000071</td>\n",
       "      <td>9.654350e-01</td>\n",
       "      <td>9.549290e-01</td>\n",
       "      <td>0.001637</td>\n",
       "      <td>0.001255</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>child_delivery_number</th>\n",
       "      <td>-0.000014</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479514</td>\n",
       "      <td>1.780710e-07</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.000086</td>\n",
       "      <td>6.675280e-01</td>\n",
       "      <td>5.155620e-01</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>big_baby</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479460</td>\n",
       "      <td>3.256120e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>9.039920e-01</td>\n",
       "      <td>8.672760e-01</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.042832</td>\n",
       "      <td>0.000100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>copd</th>\n",
       "      <td>-0.000015</td>\n",
       "      <td>3.469510e-12</td>\n",
       "      <td>0.478359</td>\n",
       "      <td>2.092450e-06</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>9.901320e-01</td>\n",
       "      <td>9.882640e-01</td>\n",
       "      <td>0.000162</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.001798</td>\n",
       "      <td>0.000109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stroke</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>4.712260e-107</td>\n",
       "      <td>0.479379</td>\n",
       "      <td>5.571110e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>9.342300e-01</td>\n",
       "      <td>9.146550e-01</td>\n",
       "      <td>0.000150</td>\n",
       "      <td>0.000115</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.014363</td>\n",
       "      <td>0.000131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thyroid_cancer</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>7.130330e-40</td>\n",
       "      <td>0.479179</td>\n",
       "      <td>9.374970e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>9.694760e-01</td>\n",
       "      <td>9.573410e-01</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.005419</td>\n",
       "      <td>0.000139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pulse</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479566</td>\n",
       "      <td>7.038740e-08</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000153</td>\n",
       "      <td>2.130010e-01</td>\n",
       "      <td>4.915270e-02</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>glaucoma</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>6.111190e-37</td>\n",
       "      <td>0.479156</td>\n",
       "      <td>1.033030e-06</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>9.647810e-01</td>\n",
       "      <td>9.474600e-01</td>\n",
       "      <td>0.000185</td>\n",
       "      <td>0.000124</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.005328</td>\n",
       "      <td>0.000184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ovarian_extraction</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>2.362100e-283</td>\n",
       "      <td>0.479442</td>\n",
       "      <td>3.582290e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000063</td>\n",
       "      <td>7.077340e-01</td>\n",
       "      <td>6.048760e-01</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>0.000122</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.036649</td>\n",
       "      <td>0.000345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mchc</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479545</td>\n",
       "      <td>1.362250e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>6.600550e-02</td>\n",
       "      <td>2.078300e-03</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>0.000120</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>menopause_cycle</th>\n",
       "      <td>-0.000054</td>\n",
       "      <td>3.051100e-120</td>\n",
       "      <td>0.479288</td>\n",
       "      <td>2.303530e-06</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>0.000406</td>\n",
       "      <td>6.002210e-01</td>\n",
       "      <td>4.188530e-01</td>\n",
       "      <td>0.000774</td>\n",
       "      <td>0.000502</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>periodontal_disease</th>\n",
       "      <td>-0.000015</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479475</td>\n",
       "      <td>3.276280e-07</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>6.801800e-01</td>\n",
       "      <td>4.555960e-01</td>\n",
       "      <td>0.000254</td>\n",
       "      <td>0.000140</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.061487</td>\n",
       "      <td>0.000410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gtp</th>\n",
       "      <td>-0.000009</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479668</td>\n",
       "      <td>1.738600e-07</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000411</td>\n",
       "      <td>4.018510e-02</td>\n",
       "      <td>7.096570e-07</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>systolic_blood_pressure</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479745</td>\n",
       "      <td>6.300860e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000471</td>\n",
       "      <td>4.436120e-03</td>\n",
       "      <td>4.430630e-10</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arthritis</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479483</td>\n",
       "      <td>1.718150e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>3.936660e-01</td>\n",
       "      <td>1.619360e-01</td>\n",
       "      <td>0.000179</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.090298</td>\n",
       "      <td>0.000473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chronic_gastritis_stomach_ulcer</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479495</td>\n",
       "      <td>1.226790e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000207</td>\n",
       "      <td>3.336930e-01</td>\n",
       "      <td>5.383630e-02</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>0.000107</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.131428</td>\n",
       "      <td>0.000520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waist_circumference</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479784</td>\n",
       "      <td>5.906040e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000556</td>\n",
       "      <td>1.001720e-02</td>\n",
       "      <td>1.578790e-13</td>\n",
       "      <td>0.000216</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diastolic_blood_pressure</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479793</td>\n",
       "      <td>6.242220e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>5.036280e-03</td>\n",
       "      <td>2.634850e-14</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hscrp</th>\n",
       "      <td>-0.000010</td>\n",
       "      <td>3.150760e-278</td>\n",
       "      <td>0.479698</td>\n",
       "      <td>2.806840e-07</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.000587</td>\n",
       "      <td>1.778270e-02</td>\n",
       "      <td>4.359390e-10</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hemoglobin</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479796</td>\n",
       "      <td>6.729330e-08</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000592</td>\n",
       "      <td>1.229870e-03</td>\n",
       "      <td>2.751000e-14</td>\n",
       "      <td>0.000183</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hematocrit</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479633</td>\n",
       "      <td>1.065340e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000642</td>\n",
       "      <td>4.236340e-03</td>\n",
       "      <td>2.889730e-09</td>\n",
       "      <td>0.000225</td>\n",
       "      <td>0.000108</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grip_strength</th>\n",
       "      <td>-0.000017</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479571</td>\n",
       "      <td>1.901580e-07</td>\n",
       "      <td>0.000024</td>\n",
       "      <td>0.000681</td>\n",
       "      <td>8.847000e-02</td>\n",
       "      <td>1.534100e-05</td>\n",
       "      <td>0.000400</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cataract</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>2.787930e-237</td>\n",
       "      <td>0.479432</td>\n",
       "      <td>3.890610e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>5.070220e-01</td>\n",
       "      <td>3.167840e-01</td>\n",
       "      <td>0.000182</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.031508</td>\n",
       "      <td>0.000734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>alt</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479865</td>\n",
       "      <td>1.259110e-07</td>\n",
       "      <td>0.000012</td>\n",
       "      <td>0.000752</td>\n",
       "      <td>1.427530e-04</td>\n",
       "      <td>4.558330e-22</td>\n",
       "      <td>0.000198</td>\n",
       "      <td>0.000078</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_bilirubin</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479511</td>\n",
       "      <td>1.480850e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000766</td>\n",
       "      <td>1.711480e-02</td>\n",
       "      <td>2.811950e-10</td>\n",
       "      <td>0.000321</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hysterectomy</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479447</td>\n",
       "      <td>2.263140e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000223</td>\n",
       "      <td>2.547780e-01</td>\n",
       "      <td>5.990690e-02</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.072248</td>\n",
       "      <td>0.000790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bun</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479924</td>\n",
       "      <td>6.553160e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000827</td>\n",
       "      <td>8.310710e-04</td>\n",
       "      <td>6.192320e-28</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fracture</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479460</td>\n",
       "      <td>1.871200e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000281</td>\n",
       "      <td>1.964520e-01</td>\n",
       "      <td>1.639460e-02</td>\n",
       "      <td>0.000218</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.092042</td>\n",
       "      <td>0.000862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hba1c</th>\n",
       "      <td>-0.000018</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479593</td>\n",
       "      <td>3.554720e-07</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.001610</td>\n",
       "      <td>1.093330e-03</td>\n",
       "      <td>4.020150e-22</td>\n",
       "      <td>0.000493</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mch</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479750</td>\n",
       "      <td>1.591170e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.001773</td>\n",
       "      <td>9.064100e-05</td>\n",
       "      <td>2.217640e-48</td>\n",
       "      <td>0.000453</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.480456</td>\n",
       "      <td>5.686670e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.001847</td>\n",
       "      <td>4.463350e-07</td>\n",
       "      <td>1.493350e-133</td>\n",
       "      <td>0.000366</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>small_baby</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>2.691800e-171</td>\n",
       "      <td>0.479381</td>\n",
       "      <td>4.664500e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>2.403270e-01</td>\n",
       "      <td>3.388310e-02</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.023546</td>\n",
       "      <td>0.001939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>menopause_age</th>\n",
       "      <td>-0.000022</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479654</td>\n",
       "      <td>3.522000e-07</td>\n",
       "      <td>0.000032</td>\n",
       "      <td>0.001943</td>\n",
       "      <td>6.341310e-04</td>\n",
       "      <td>1.985180e-20</td>\n",
       "      <td>0.000569</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>angina_pectoris_myocardial_infarction</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>4.147200e-190</td>\n",
       "      <td>0.479422</td>\n",
       "      <td>4.126780e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>2.214820e-01</td>\n",
       "      <td>1.769960e-02</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>0.000114</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.024484</td>\n",
       "      <td>0.001964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diabetes</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479427</td>\n",
       "      <td>2.002220e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000602</td>\n",
       "      <td>2.602620e-02</td>\n",
       "      <td>1.081070e-08</td>\n",
       "      <td>0.000271</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.070851</td>\n",
       "      <td>0.002159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rbc</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.480001</td>\n",
       "      <td>1.048460e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.002211</td>\n",
       "      <td>1.615460e-07</td>\n",
       "      <td>2.929030e-93</td>\n",
       "      <td>0.000422</td>\n",
       "      <td>0.000108</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>protein_in_blood</th>\n",
       "      <td>-0.000041</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.477192</td>\n",
       "      <td>7.261040e-07</td>\n",
       "      <td>0.000058</td>\n",
       "      <td>0.002268</td>\n",
       "      <td>9.551580e-03</td>\n",
       "      <td>6.453310e-09</td>\n",
       "      <td>0.000875</td>\n",
       "      <td>0.000391</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FEV_over_FVC_predicted</th>\n",
       "      <td>-0.000135</td>\n",
       "      <td>2.873650e-271</td>\n",
       "      <td>0.478573</td>\n",
       "      <td>3.826920e-06</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.002303</td>\n",
       "      <td>3.384480e-01</td>\n",
       "      <td>6.651310e-02</td>\n",
       "      <td>0.002406</td>\n",
       "      <td>0.001255</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>protein_in_urine</th>\n",
       "      <td>-0.000059</td>\n",
       "      <td>1.322420e-65</td>\n",
       "      <td>0.478844</td>\n",
       "      <td>3.449900e-06</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.000453</td>\n",
       "      <td>5.896720e-01</td>\n",
       "      <td>4.171220e-01</td>\n",
       "      <td>0.000840</td>\n",
       "      <td>0.000558</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.036811</td>\n",
       "      <td>0.002477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allergic_disease</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479473</td>\n",
       "      <td>1.939530e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.000719</td>\n",
       "      <td>4.942900e-03</td>\n",
       "      <td>8.354110e-12</td>\n",
       "      <td>0.000256</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.073787</td>\n",
       "      <td>0.002513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sleep_duration</th>\n",
       "      <td>-0.000134</td>\n",
       "      <td>1.395500e-201</td>\n",
       "      <td>0.478453</td>\n",
       "      <td>4.422740e-06</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.002634</td>\n",
       "      <td>3.141060e-01</td>\n",
       "      <td>3.507380e-02</td>\n",
       "      <td>0.002617</td>\n",
       "      <td>0.001250</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bone_density_midshaft_sos</th>\n",
       "      <td>-0.000138</td>\n",
       "      <td>3.668720e-197</td>\n",
       "      <td>0.478371</td>\n",
       "      <td>4.608300e-06</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>0.002681</td>\n",
       "      <td>2.635920e-01</td>\n",
       "      <td>3.717840e-02</td>\n",
       "      <td>0.002398</td>\n",
       "      <td>0.001286</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hypertension</th>\n",
       "      <td>-0.000009</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479995</td>\n",
       "      <td>6.995870e-08</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.001369</td>\n",
       "      <td>8.907000e-05</td>\n",
       "      <td>8.236930e-54</td>\n",
       "      <td>0.000349</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.203815</td>\n",
       "      <td>0.002770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mcv</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.479934</td>\n",
       "      <td>1.482870e-07</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>4.461510e-07</td>\n",
       "      <td>3.919560e-124</td>\n",
       "      <td>0.000568</td>\n",
       "      <td>0.000121</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.002869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chronic_bronchitis</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>6.090950e-53</td>\n",
       "      <td>0.479232</td>\n",
       "      <td>8.550530e-07</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000172</td>\n",
       "      <td>4.023530e-01</td>\n",
       "      <td>1.642510e-01</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.000124</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.007665</td>\n",
       "      <td>0.002932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acute_liver_disease</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>3.071080e-39</td>\n",
       "      <td>0.479145</td>\n",
       "      <td>1.001740e-06</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000158</td>\n",
       "      <td>4.337890e-01</td>\n",
       "      <td>2.003670e-01</td>\n",
       "      <td>0.000202</td>\n",
       "      <td>0.000124</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.005666</td>\n",
       "      <td>0.003419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_cholesterol</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.481298</td>\n",
       "      <td>6.268600e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.003450</td>\n",
       "      <td>4.523510e-10</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000553</td>\n",
       "      <td>0.000075</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.003450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>asthma</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>1.391960e-126</td>\n",
       "      <td>0.479341</td>\n",
       "      <td>5.117200e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000439</td>\n",
       "      <td>8.471090e-02</td>\n",
       "      <td>1.431640e-04</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>0.000115</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.016829</td>\n",
       "      <td>0.004158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>triglyceride</th>\n",
       "      <td>-0.000008</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.481719</td>\n",
       "      <td>9.045540e-08</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.004474</td>\n",
       "      <td>5.248100e-13</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000620</td>\n",
       "      <td>0.000076</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.004474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>breast_cancer</th>\n",
       "      <td>-0.000019</td>\n",
       "      <td>1.815590e-37</td>\n",
       "      <td>0.479157</td>\n",
       "      <td>1.493270e-06</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.000286</td>\n",
       "      <td>4.245030e-01</td>\n",
       "      <td>1.112020e-01</td>\n",
       "      <td>0.000358</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.007885</td>\n",
       "      <td>0.004778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insomnia</th>\n",
       "      <td>-0.000192</td>\n",
       "      <td>7.094150e-180</td>\n",
       "      <td>0.478663</td>\n",
       "      <td>6.700750e-06</td>\n",
       "      <td>0.000270</td>\n",
       "      <td>0.002172</td>\n",
       "      <td>4.582460e-01</td>\n",
       "      <td>2.228870e-01</td>\n",
       "      <td>0.002928</td>\n",
       "      <td>0.001782</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.160247</td>\n",
       "      <td>0.004926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>platelet</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.480818</td>\n",
       "      <td>1.175230e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.006042</td>\n",
       "      <td>2.250100e-15</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000762</td>\n",
       "      <td>0.000110</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.006042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wbc</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.480858</td>\n",
       "      <td>1.200930e-07</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.006235</td>\n",
       "      <td>9.650040e-16</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000776</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>continuous</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.006235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>liver_cancer</th>\n",
       "      <td>-0.000013</td>\n",
       "      <td>1.885090e-05</td>\n",
       "      <td>0.476460</td>\n",
       "      <td>3.080060e-06</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>7.873850e-01</td>\n",
       "      <td>6.907460e-01</td>\n",
       "      <td>0.000182</td>\n",
       "      <td>0.000123</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.000618</td>\n",
       "      <td>0.006490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hyperlipidemia</th>\n",
       "      <td>-0.000011</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.480161</td>\n",
       "      <td>1.680890e-07</td>\n",
       "      <td>0.000015</td>\n",
       "      <td>0.002360</td>\n",
       "      <td>3.023700e-05</td>\n",
       "      <td>1.369830e-116</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.087871</td>\n",
       "      <td>0.007432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>colorectal_cancer</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>1.695970e-16</td>\n",
       "      <td>0.478663</td>\n",
       "      <td>1.505540e-06</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000159</td>\n",
       "      <td>4.518230e-01</td>\n",
       "      <td>1.744050e-01</td>\n",
       "      <td>0.000211</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.002140</td>\n",
       "      <td>0.007448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stomach_cancer</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>7.847660e-35</td>\n",
       "      <td>0.479077</td>\n",
       "      <td>1.007270e-06</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000480</td>\n",
       "      <td>4.648560e-02</td>\n",
       "      <td>3.962760e-05</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.011954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thyroid_disease</th>\n",
       "      <td>-0.000012</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.478798</td>\n",
       "      <td>3.070450e-07</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.002684</td>\n",
       "      <td>4.226860e-07</td>\n",
       "      <td>5.977140e-122</td>\n",
       "      <td>0.000531</td>\n",
       "      <td>0.000114</td>\n",
       "      <td>binary</td>\n",
       "      <td>0.040892</td>\n",
       "      <td>0.013677</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Intercept-Estimate  \\\n",
       "pwi_total                                       -0.000009   \n",
       "osteoporosis                                    -0.000012   \n",
       "FVC_predicted                                   -0.000134   \n",
       "child_delivery_number                           -0.000014   \n",
       "big_baby                                        -0.000013   \n",
       "copd                                            -0.000015   \n",
       "stroke                                          -0.000012   \n",
       "thyroid_cancer                                  -0.000012   \n",
       "pulse                                           -0.000008   \n",
       "glaucoma                                        -0.000013   \n",
       "ovarian_extraction                              -0.000013   \n",
       "mchc                                            -0.000013   \n",
       "menopause_cycle                                 -0.000054   \n",
       "periodontal_disease                             -0.000015   \n",
       "gtp                                             -0.000009   \n",
       "systolic_blood_pressure                         -0.000008   \n",
       "arthritis                                       -0.000012   \n",
       "chronic_gastritis_stomach_ulcer                 -0.000011   \n",
       "waist_circumference                             -0.000008   \n",
       "diastolic_blood_pressure                        -0.000008   \n",
       "hscrp                                           -0.000010   \n",
       "hemoglobin                                      -0.000008   \n",
       "hematocrit                                      -0.000011   \n",
       "grip_strength                                   -0.000017   \n",
       "cataract                                        -0.000013   \n",
       "alt                                             -0.000008   \n",
       "total_bilirubin                                 -0.000013   \n",
       "hysterectomy                                    -0.000013   \n",
       "bun                                             -0.000008   \n",
       "fracture                                        -0.000012   \n",
       "...                                                   ...   \n",
       "hba1c                                           -0.000018   \n",
       "mch                                             -0.000013   \n",
       "height                                          -0.000008   \n",
       "small_baby                                      -0.000013   \n",
       "menopause_age                                   -0.000022   \n",
       "angina_pectoris_myocardial_infarction           -0.000012   \n",
       "diabetes                                        -0.000011   \n",
       "rbc                                             -0.000011   \n",
       "protein_in_blood                                -0.000041   \n",
       "FEV_over_FVC_predicted                          -0.000135   \n",
       "protein_in_urine                                -0.000059   \n",
       "allergic_disease                                -0.000011   \n",
       "sleep_duration                                  -0.000134   \n",
       "bone_density_midshaft_sos                       -0.000138   \n",
       "hypertension                                    -0.000009   \n",
       "mcv                                             -0.000013   \n",
       "chronic_bronchitis                              -0.000013   \n",
       "acute_liver_disease                             -0.000013   \n",
       "total_cholesterol                               -0.000008   \n",
       "asthma                                          -0.000012   \n",
       "triglyceride                                    -0.000008   \n",
       "breast_cancer                                   -0.000019   \n",
       "insomnia                                        -0.000192   \n",
       "platelet                                        -0.000012   \n",
       "wbc                                             -0.000012   \n",
       "liver_cancer                                    -0.000013   \n",
       "hyperlipidemia                                  -0.000011   \n",
       "colorectal_cancer                               -0.000012   \n",
       "stomach_cancer                                  -0.000012   \n",
       "thyroid_disease                                 -0.000012   \n",
       "\n",
       "                                       Intercept-P_Jackknife  Intercept-P_OLS  \\\n",
       "pwi_total                                       0.000000e+00         0.479508   \n",
       "osteoporosis                                    0.000000e+00         0.479467   \n",
       "FVC_predicted                                   0.000000e+00         0.479416   \n",
       "child_delivery_number                           0.000000e+00         0.479514   \n",
       "big_baby                                        0.000000e+00         0.479460   \n",
       "copd                                            3.469510e-12         0.478359   \n",
       "stroke                                         4.712260e-107         0.479379   \n",
       "thyroid_cancer                                  7.130330e-40         0.479179   \n",
       "pulse                                           0.000000e+00         0.479566   \n",
       "glaucoma                                        6.111190e-37         0.479156   \n",
       "ovarian_extraction                             2.362100e-283         0.479442   \n",
       "mchc                                            0.000000e+00         0.479545   \n",
       "menopause_cycle                                3.051100e-120         0.479288   \n",
       "periodontal_disease                             0.000000e+00         0.479475   \n",
       "gtp                                             0.000000e+00         0.479668   \n",
       "systolic_blood_pressure                         0.000000e+00         0.479745   \n",
       "arthritis                                       0.000000e+00         0.479483   \n",
       "chronic_gastritis_stomach_ulcer                 0.000000e+00         0.479495   \n",
       "waist_circumference                             0.000000e+00         0.479784   \n",
       "diastolic_blood_pressure                        0.000000e+00         0.479793   \n",
       "hscrp                                          3.150760e-278         0.479698   \n",
       "hemoglobin                                      0.000000e+00         0.479796   \n",
       "hematocrit                                      0.000000e+00         0.479633   \n",
       "grip_strength                                   0.000000e+00         0.479571   \n",
       "cataract                                       2.787930e-237         0.479432   \n",
       "alt                                             0.000000e+00         0.479865   \n",
       "total_bilirubin                                 0.000000e+00         0.479511   \n",
       "hysterectomy                                    0.000000e+00         0.479447   \n",
       "bun                                             0.000000e+00         0.479924   \n",
       "fracture                                        0.000000e+00         0.479460   \n",
       "...                                                      ...              ...   \n",
       "hba1c                                           0.000000e+00         0.479593   \n",
       "mch                                             0.000000e+00         0.479750   \n",
       "height                                          0.000000e+00         0.480456   \n",
       "small_baby                                     2.691800e-171         0.479381   \n",
       "menopause_age                                   0.000000e+00         0.479654   \n",
       "angina_pectoris_myocardial_infarction          4.147200e-190         0.479422   \n",
       "diabetes                                        0.000000e+00         0.479427   \n",
       "rbc                                             0.000000e+00         0.480001   \n",
       "protein_in_blood                                0.000000e+00         0.477192   \n",
       "FEV_over_FVC_predicted                         2.873650e-271         0.478573   \n",
       "protein_in_urine                                1.322420e-65         0.478844   \n",
       "allergic_disease                                0.000000e+00         0.479473   \n",
       "sleep_duration                                 1.395500e-201         0.478453   \n",
       "bone_density_midshaft_sos                      3.668720e-197         0.478371   \n",
       "hypertension                                    0.000000e+00         0.479995   \n",
       "mcv                                             0.000000e+00         0.479934   \n",
       "chronic_bronchitis                              6.090950e-53         0.479232   \n",
       "acute_liver_disease                             3.071080e-39         0.479145   \n",
       "total_cholesterol                               0.000000e+00         0.481298   \n",
       "asthma                                         1.391960e-126         0.479341   \n",
       "triglyceride                                    0.000000e+00         0.481719   \n",
       "breast_cancer                                   1.815590e-37         0.479157   \n",
       "insomnia                                       7.094150e-180         0.478663   \n",
       "platelet                                        0.000000e+00         0.480818   \n",
       "wbc                                             0.000000e+00         0.480858   \n",
       "liver_cancer                                    1.885090e-05         0.476460   \n",
       "hyperlipidemia                                  0.000000e+00         0.480161   \n",
       "colorectal_cancer                               1.695970e-16         0.478663   \n",
       "stomach_cancer                                  7.847660e-35         0.479077   \n",
       "thyroid_disease                                 0.000000e+00         0.478798   \n",
       "\n",
       "                                       Intercept-SE_Jackknife  \\\n",
       "pwi_total                                        8.483010e-08   \n",
       "osteoporosis                                     2.740450e-07   \n",
       "FVC_predicted                                    3.062940e-06   \n",
       "child_delivery_number                            1.780710e-07   \n",
       "big_baby                                         3.256120e-07   \n",
       "copd                                             2.092450e-06   \n",
       "stroke                                           5.571110e-07   \n",
       "thyroid_cancer                                   9.374970e-07   \n",
       "pulse                                            7.038740e-08   \n",
       "glaucoma                                         1.033030e-06   \n",
       "ovarian_extraction                               3.582290e-07   \n",
       "mchc                                             1.362250e-07   \n",
       "menopause_cycle                                  2.303530e-06   \n",
       "periodontal_disease                              3.276280e-07   \n",
       "gtp                                              1.738600e-07   \n",
       "systolic_blood_pressure                          6.300860e-08   \n",
       "arthritis                                        1.718150e-07   \n",
       "chronic_gastritis_stomach_ulcer                  1.226790e-07   \n",
       "waist_circumference                              5.906040e-08   \n",
       "diastolic_blood_pressure                         6.242220e-08   \n",
       "hscrp                                            2.806840e-07   \n",
       "hemoglobin                                       6.729330e-08   \n",
       "hematocrit                                       1.065340e-07   \n",
       "grip_strength                                    1.901580e-07   \n",
       "cataract                                         3.890610e-07   \n",
       "alt                                              1.259110e-07   \n",
       "total_bilirubin                                  1.480850e-07   \n",
       "hysterectomy                                     2.263140e-07   \n",
       "bun                                              6.553160e-08   \n",
       "fracture                                         1.871200e-07   \n",
       "...                                                       ...   \n",
       "hba1c                                            3.554720e-07   \n",
       "mch                                              1.591170e-07   \n",
       "height                                           5.686670e-08   \n",
       "small_baby                                       4.664500e-07   \n",
       "menopause_age                                    3.522000e-07   \n",
       "angina_pectoris_myocardial_infarction            4.126780e-07   \n",
       "diabetes                                         2.002220e-07   \n",
       "rbc                                              1.048460e-07   \n",
       "protein_in_blood                                 7.261040e-07   \n",
       "FEV_over_FVC_predicted                           3.826920e-06   \n",
       "protein_in_urine                                 3.449900e-06   \n",
       "allergic_disease                                 1.939530e-07   \n",
       "sleep_duration                                   4.422740e-06   \n",
       "bone_density_midshaft_sos                        4.608300e-06   \n",
       "hypertension                                     6.995870e-08   \n",
       "mcv                                              1.482870e-07   \n",
       "chronic_bronchitis                               8.550530e-07   \n",
       "acute_liver_disease                              1.001740e-06   \n",
       "total_cholesterol                                6.268600e-08   \n",
       "asthma                                           5.117200e-07   \n",
       "triglyceride                                     9.045540e-08   \n",
       "breast_cancer                                    1.493270e-06   \n",
       "insomnia                                         6.700750e-06   \n",
       "platelet                                         1.175230e-07   \n",
       "wbc                                              1.200930e-07   \n",
       "liver_cancer                                     3.080060e-06   \n",
       "hyperlipidemia                                   1.680890e-07   \n",
       "colorectal_cancer                                1.505540e-06   \n",
       "stomach_cancer                                   1.007270e-06   \n",
       "thyroid_disease                                  3.070450e-07   \n",
       "\n",
       "                                       Intercept-SE_OLS  V(G)/Vp-Estimate  \\\n",
       "pwi_total                                      0.000013          0.000031   \n",
       "osteoporosis                                   0.000017          0.000009   \n",
       "FVC_predicted                                  0.000190          0.000071   \n",
       "child_delivery_number                          0.000020          0.000086   \n",
       "big_baby                                       0.000018          0.000020   \n",
       "copd                                           0.000021          0.000002   \n",
       "stroke                                         0.000017          0.000012   \n",
       "thyroid_cancer                                 0.000018          0.000006   \n",
       "pulse                                          0.000012          0.000153   \n",
       "glaucoma                                       0.000019          0.000008   \n",
       "ovarian_extraction                             0.000018          0.000063   \n",
       "mchc                                           0.000018          0.000370   \n",
       "menopause_cycle                                0.000076          0.000406   \n",
       "periodontal_disease                            0.000021          0.000105   \n",
       "gtp                                            0.000012          0.000411   \n",
       "systolic_blood_pressure                        0.000011          0.000471   \n",
       "arthritis                                      0.000016          0.000152   \n",
       "chronic_gastritis_stomach_ulcer                0.000016          0.000207   \n",
       "waist_circumference                            0.000011          0.000556   \n",
       "diastolic_blood_pressure                       0.000011          0.000574   \n",
       "hscrp                                          0.000014          0.000587   \n",
       "hemoglobin                                     0.000012          0.000592   \n",
       "hematocrit                                     0.000016          0.000642   \n",
       "grip_strength                                  0.000024          0.000681   \n",
       "cataract                                       0.000018          0.000121   \n",
       "alt                                            0.000012          0.000752   \n",
       "total_bilirubin                                0.000018          0.000766   \n",
       "hysterectomy                                   0.000018          0.000223   \n",
       "bun                                            0.000011          0.000827   \n",
       "fracture                                       0.000018          0.000281   \n",
       "...                                                 ...               ...   \n",
       "hba1c                                          0.000025          0.001610   \n",
       "mch                                            0.000018          0.001773   \n",
       "height                                         0.000011          0.001847   \n",
       "small_baby                                     0.000018          0.000260   \n",
       "menopause_age                                  0.000032          0.001943   \n",
       "angina_pectoris_myocardial_infarction          0.000017          0.000271   \n",
       "diabetes                                       0.000016          0.000602   \n",
       "rbc                                            0.000016          0.002211   \n",
       "protein_in_blood                               0.000058          0.002268   \n",
       "FEV_over_FVC_predicted                         0.000190          0.002303   \n",
       "protein_in_urine                               0.000083          0.000453   \n",
       "allergic_disease                               0.000016          0.000719   \n",
       "sleep_duration                                 0.000189          0.002634   \n",
       "bone_density_midshaft_sos                      0.000195          0.002681   \n",
       "hypertension                                   0.000013          0.001369   \n",
       "mcv                                            0.000018          0.002869   \n",
       "chronic_bronchitis                             0.000019          0.000172   \n",
       "acute_liver_disease                            0.000019          0.000158   \n",
       "total_cholesterol                              0.000011          0.003450   \n",
       "asthma                                         0.000017          0.000439   \n",
       "triglyceride                                   0.000011          0.004474   \n",
       "breast_cancer                                  0.000027          0.000286   \n",
       "insomnia                                       0.000270          0.002172   \n",
       "platelet                                       0.000016          0.006042   \n",
       "wbc                                            0.000016          0.006235   \n",
       "liver_cancer                                   0.000019          0.000049   \n",
       "hyperlipidemia                                 0.000015          0.002360   \n",
       "colorectal_cancer                              0.000018          0.000159   \n",
       "stomach_cancer                                 0.000018          0.000480   \n",
       "thyroid_disease                                0.000017          0.002684   \n",
       "\n",
       "                                       V(G)/Vp-P_Jackknife  V(G)/Vp-P_OLS  \\\n",
       "pwi_total                                     8.087900e-01   7.308720e-01   \n",
       "osteoporosis                                  9.427920e-01   9.367220e-01   \n",
       "FVC_predicted                                 9.654350e-01   9.549290e-01   \n",
       "child_delivery_number                         6.675280e-01   5.155620e-01   \n",
       "big_baby                                      9.039920e-01   8.672760e-01   \n",
       "copd                                          9.901320e-01   9.882640e-01   \n",
       "stroke                                        9.342300e-01   9.146550e-01   \n",
       "thyroid_cancer                                9.694760e-01   9.573410e-01   \n",
       "pulse                                         2.130010e-01   4.915270e-02   \n",
       "glaucoma                                      9.647810e-01   9.474600e-01   \n",
       "ovarian_extraction                            7.077340e-01   6.048760e-01   \n",
       "mchc                                          6.600550e-02   2.078300e-03   \n",
       "menopause_cycle                               6.002210e-01   4.188530e-01   \n",
       "periodontal_disease                           6.801800e-01   4.555960e-01   \n",
       "gtp                                           4.018510e-02   7.096570e-07   \n",
       "systolic_blood_pressure                       4.436120e-03   4.430630e-10   \n",
       "arthritis                                     3.936660e-01   1.619360e-01   \n",
       "chronic_gastritis_stomach_ulcer               3.336930e-01   5.383630e-02   \n",
       "waist_circumference                           1.001720e-02   1.578790e-13   \n",
       "diastolic_blood_pressure                      5.036280e-03   2.634850e-14   \n",
       "hscrp                                         1.778270e-02   4.359390e-10   \n",
       "hemoglobin                                    1.229870e-03   2.751000e-14   \n",
       "hematocrit                                    4.236340e-03   2.889730e-09   \n",
       "grip_strength                                 8.847000e-02   1.534100e-05   \n",
       "cataract                                      5.070220e-01   3.167840e-01   \n",
       "alt                                           1.427530e-04   4.558330e-22   \n",
       "total_bilirubin                               1.711480e-02   2.811950e-10   \n",
       "hysterectomy                                  2.547780e-01   5.990690e-02   \n",
       "bun                                           8.310710e-04   6.192320e-28   \n",
       "fracture                                      1.964520e-01   1.639460e-02   \n",
       "...                                                    ...            ...   \n",
       "hba1c                                         1.093330e-03   4.020150e-22   \n",
       "mch                                           9.064100e-05   2.217640e-48   \n",
       "height                                        4.463350e-07  1.493350e-133   \n",
       "small_baby                                    2.403270e-01   3.388310e-02   \n",
       "menopause_age                                 6.341310e-04   1.985180e-20   \n",
       "angina_pectoris_myocardial_infarction         2.214820e-01   1.769960e-02   \n",
       "diabetes                                      2.602620e-02   1.081070e-08   \n",
       "rbc                                           1.615460e-07   2.929030e-93   \n",
       "protein_in_blood                              9.551580e-03   6.453310e-09   \n",
       "FEV_over_FVC_predicted                        3.384480e-01   6.651310e-02   \n",
       "protein_in_urine                              5.896720e-01   4.171220e-01   \n",
       "allergic_disease                              4.942900e-03   8.354110e-12   \n",
       "sleep_duration                                3.141060e-01   3.507380e-02   \n",
       "bone_density_midshaft_sos                     2.635920e-01   3.717840e-02   \n",
       "hypertension                                  8.907000e-05   8.236930e-54   \n",
       "mcv                                           4.461510e-07  3.919560e-124   \n",
       "chronic_bronchitis                            4.023530e-01   1.642510e-01   \n",
       "acute_liver_disease                           4.337890e-01   2.003670e-01   \n",
       "total_cholesterol                             4.523510e-10   0.000000e+00   \n",
       "asthma                                        8.471090e-02   1.431640e-04   \n",
       "triglyceride                                  5.248100e-13   0.000000e+00   \n",
       "breast_cancer                                 4.245030e-01   1.112020e-01   \n",
       "insomnia                                      4.582460e-01   2.228870e-01   \n",
       "platelet                                      2.250100e-15   0.000000e+00   \n",
       "wbc                                           9.650040e-16   0.000000e+00   \n",
       "liver_cancer                                  7.873850e-01   6.907460e-01   \n",
       "hyperlipidemia                                3.023700e-05  1.369830e-116   \n",
       "colorectal_cancer                             4.518230e-01   1.744050e-01   \n",
       "stomach_cancer                                4.648560e-02   3.962760e-05   \n",
       "thyroid_disease                               4.226860e-07  5.977140e-122   \n",
       "\n",
       "                                       V(G)/Vp-SE_Jackknife  V(G)/Vp-SE_OLS  \\\n",
       "pwi_total                                          0.000127        0.000089   \n",
       "osteoporosis                                       0.000125        0.000113   \n",
       "FVC_predicted                                      0.001637        0.001255   \n",
       "child_delivery_number                              0.000201        0.000133   \n",
       "big_baby                                           0.000168        0.000121   \n",
       "copd                                               0.000162        0.000137   \n",
       "stroke                                             0.000150        0.000115   \n",
       "thyroid_cancer                                     0.000163        0.000117   \n",
       "pulse                                              0.000123        0.000078   \n",
       "glaucoma                                           0.000185        0.000124   \n",
       "ovarian_extraction                                 0.000168        0.000122   \n",
       "mchc                                               0.000201        0.000120   \n",
       "menopause_cycle                                    0.000774        0.000502   \n",
       "periodontal_disease                                0.000254        0.000140   \n",
       "gtp                                                0.000200        0.000083   \n",
       "systolic_blood_pressure                            0.000166        0.000076   \n",
       "arthritis                                          0.000179        0.000109   \n",
       "chronic_gastritis_stomach_ulcer                    0.000214        0.000107   \n",
       "waist_circumference                                0.000216        0.000075   \n",
       "diastolic_blood_pressure                           0.000205        0.000075   \n",
       "hscrp                                              0.000248        0.000094   \n",
       "hemoglobin                                         0.000183        0.000078   \n",
       "hematocrit                                         0.000225        0.000108   \n",
       "grip_strength                                      0.000400        0.000158   \n",
       "cataract                                           0.000182        0.000121   \n",
       "alt                                                0.000198        0.000078   \n",
       "total_bilirubin                                    0.000321        0.000121   \n",
       "hysterectomy                                       0.000196        0.000119   \n",
       "bun                                                0.000248        0.000076   \n",
       "fracture                                           0.000218        0.000117   \n",
       "...                                                     ...             ...   \n",
       "hba1c                                              0.000493        0.000166   \n",
       "mch                                                0.000453        0.000121   \n",
       "height                                             0.000366        0.000075   \n",
       "small_baby                                         0.000222        0.000123   \n",
       "menopause_age                                      0.000569        0.000210   \n",
       "angina_pectoris_myocardial_infarction              0.000222        0.000114   \n",
       "diabetes                                           0.000271        0.000105   \n",
       "rbc                                                0.000422        0.000108   \n",
       "protein_in_blood                                   0.000875        0.000391   \n",
       "FEV_over_FVC_predicted                             0.002406        0.001255   \n",
       "protein_in_urine                                   0.000840        0.000558   \n",
       "allergic_disease                                   0.000256        0.000105   \n",
       "sleep_duration                                     0.002617        0.001250   \n",
       "bone_density_midshaft_sos                          0.002398        0.001286   \n",
       "hypertension                                       0.000349        0.000089   \n",
       "mcv                                                0.000568        0.000121   \n",
       "chronic_bronchitis                                 0.000205        0.000124   \n",
       "acute_liver_disease                                0.000202        0.000124   \n",
       "total_cholesterol                                  0.000553        0.000075   \n",
       "asthma                                             0.000255        0.000115   \n",
       "triglyceride                                       0.000620        0.000076   \n",
       "breast_cancer                                      0.000358        0.000180   \n",
       "insomnia                                           0.002928        0.001782   \n",
       "platelet                                           0.000762        0.000110   \n",
       "wbc                                                0.000776        0.000109   \n",
       "liver_cancer                                       0.000182        0.000123   \n",
       "hyperlipidemia                                     0.000566        0.000103   \n",
       "colorectal_cancer                                  0.000211        0.000117   \n",
       "stomach_cancer                                     0.000241        0.000117   \n",
       "thyroid_disease                                    0.000531        0.000114   \n",
       "\n",
       "                                      phenotype_type  prevalence   h2_liab  \n",
       "pwi_total                                 continuous         NaN  0.000031  \n",
       "osteoporosis                                  binary    0.047926  0.000041  \n",
       "FVC_predicted                             continuous         NaN  0.000071  \n",
       "child_delivery_number                     continuous         NaN  0.000086  \n",
       "big_baby                                      binary    0.042832  0.000100  \n",
       "copd                                          binary    0.001798  0.000109  \n",
       "stroke                                        binary    0.014363  0.000131  \n",
       "thyroid_cancer                                binary    0.005419  0.000139  \n",
       "pulse                                     continuous         NaN  0.000153  \n",
       "glaucoma                                      binary    0.005328  0.000184  \n",
       "ovarian_extraction                            binary    0.036649  0.000345  \n",
       "mchc                                      continuous         NaN  0.000370  \n",
       "menopause_cycle                           continuous         NaN  0.000406  \n",
       "periodontal_disease                           binary    0.061487  0.000410  \n",
       "gtp                                       continuous         NaN  0.000411  \n",
       "systolic_blood_pressure                   continuous         NaN  0.000471  \n",
       "arthritis                                     binary    0.090298  0.000473  \n",
       "chronic_gastritis_stomach_ulcer               binary    0.131428  0.000520  \n",
       "waist_circumference                       continuous         NaN  0.000556  \n",
       "diastolic_blood_pressure                  continuous         NaN  0.000574  \n",
       "hscrp                                     continuous         NaN  0.000587  \n",
       "hemoglobin                                continuous         NaN  0.000592  \n",
       "hematocrit                                continuous         NaN  0.000642  \n",
       "grip_strength                             continuous         NaN  0.000681  \n",
       "cataract                                      binary    0.031508  0.000734  \n",
       "alt                                       continuous         NaN  0.000752  \n",
       "total_bilirubin                           continuous         NaN  0.000766  \n",
       "hysterectomy                                  binary    0.072248  0.000790  \n",
       "bun                                       continuous         NaN  0.000827  \n",
       "fracture                                      binary    0.092042  0.000862  \n",
       "...                                              ...         ...       ...  \n",
       "hba1c                                     continuous         NaN  0.001610  \n",
       "mch                                       continuous         NaN  0.001773  \n",
       "height                                    continuous         NaN  0.001847  \n",
       "small_baby                                    binary    0.023546  0.001939  \n",
       "menopause_age                             continuous         NaN  0.001943  \n",
       "angina_pectoris_myocardial_infarction         binary    0.024484  0.001964  \n",
       "diabetes                                      binary    0.070851  0.002159  \n",
       "rbc                                       continuous         NaN  0.002211  \n",
       "protein_in_blood                          continuous         NaN  0.002268  \n",
       "FEV_over_FVC_predicted                    continuous         NaN  0.002303  \n",
       "protein_in_urine                              binary    0.036811  0.002477  \n",
       "allergic_disease                              binary    0.073787  0.002513  \n",
       "sleep_duration                            continuous         NaN  0.002634  \n",
       "bone_density_midshaft_sos                 continuous         NaN  0.002681  \n",
       "hypertension                                  binary    0.203815  0.002770  \n",
       "mcv                                       continuous         NaN  0.002869  \n",
       "chronic_bronchitis                            binary    0.007665  0.002932  \n",
       "acute_liver_disease                           binary    0.005666  0.003419  \n",
       "total_cholesterol                         continuous         NaN  0.003450  \n",
       "asthma                                        binary    0.016829  0.004158  \n",
       "triglyceride                              continuous         NaN  0.004474  \n",
       "breast_cancer                                 binary    0.007885  0.004778  \n",
       "insomnia                                      binary    0.160247  0.004926  \n",
       "platelet                                  continuous         NaN  0.006042  \n",
       "wbc                                       continuous         NaN  0.006235  \n",
       "liver_cancer                                  binary    0.000618  0.006490  \n",
       "hyperlipidemia                                binary    0.087871  0.007432  \n",
       "colorectal_cancer                             binary    0.002140  0.007448  \n",
       "stomach_cancer                                binary    0.004719  0.011954  \n",
       "thyroid_disease                               binary    0.040892  0.013677  \n",
       "\n",
       "[70 rows x 13 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f122a5407b8>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "toplot['h2_liab'].sort_values(ascending=True).plot.barh(grid=True)#,color=phenotype_category_color.loc[phenotype_info.loc[toplot.index]['phenotype_category']].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (5,30)\n",
    "plt.rcParams[\"font.size\"] = 10\n",
    "\n",
    "result_concat[result_concat['h2_liab']>0]['h2_liab'].sort_values(ascending=True).plot.barh(grid=True)\n",
    "\n",
    "plt.savefig('temp.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(result_file,'r') as f:\n",
    "    a=f.read()\n",
    "    #print(f.read().strip().strip(r'\\s*').split('\\n')[1:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'result_file' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-35-04dda25cec9a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult_file\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mr'\\s+'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mindex_col\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'result_file' is not defined"
     ]
    }
   ],
   "source": [
    "pd.read_csv(result_file,sep=r'\\s+',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "#result_select=result[['Estimate_V(G)/Vp_HE-SD','P_OLS_V(G)/Vp_HE-SD']]\n",
    "#result_select.columns=['estimate','p']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_select=result_select[(result_select['estimate']>0)&(result_select['p']<0.01)].sort_values('p')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_select.to_csv(data_out_gcta_path+'result_uni.tsv',sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv(\"result.tsv\",sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Intercept-Estimate', 'Intercept-P_Jackknife', 'Intercept-P_OLS',\n",
       "       'Intercept-SE_Jackknife', 'Intercept-SE_OLS', 'V(G)/Vp-Estimate',\n",
       "       'V(G)/Vp-P_Jackknife', 'V(G)/Vp-P_OLS', 'V(G)/Vp-SE_Jackknife',\n",
       "       'V(G)/Vp-SE_OLS'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_concat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (10,30)\n",
    "plt.rcParams[\"font.size\"] = 10\n",
    "\n",
    "result_concat[result_concat['V(G)/Vp-Estimate']>0]['V(G)/Vp-Estimate'].sort_values(ascending=True).plot.barh(grid=True)\n",
    "\n",
    "plt.savefig('temp.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5b5e514358>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (10,30)\n",
    "plt.rcParams[\"font.size\"] = 10\n",
    "\n",
    "result_concat[result_concat['V(G)/Vp-Estimate']>0]['V(G)/Vp-Estimate'].sort_values(ascending=True).plot.barh(grid=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}