demo/grip_and_fhir.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "35bebac7-9204-4dab-bc76-dcdb3635c87d",
   "metadata": {},
   "source": [
    "#### 1. GRIP query on TCGA-BRCA FHIR Data\n",
    "Extracting breast cancer subtypes and associated patients from TCGA-BRCA FHIR transformed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e93e51d8-e6cf-4911-8d89-fabba4634335",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {
      "image/png": {
       "width": 850
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(\"../img/TCGA-BRCA-FHIRized.png\", width=850) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fa53d514-a8b4-444e-9d2b-fe7a09721aef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'gid': '28cd8c4a-2a0a-5090-8ee1-52cc2a9df946',\n",
       "  'label': 'Patient',\n",
       "  'data': {'deceasedBoolean': False,\n",
       "   'extension': [{'url': 'http://hl7.org/fhir/us/core/StructureDefinition/us-core-birthsex',\n",
       "     'valueCode': 'F'},\n",
       "    {'url': 'http://hl7.org/fhir/us/core/StructureDefinition/us-core-race',\n",
       "     'valueString': 'white'},\n",
       "    {'url': 'http://hl7.org/fhir/us/core/StructureDefinition/us-core-ethnicity',\n",
       "     'valueString': 'not hispanic or latino'},\n",
       "    {'url': 'http://hl7.org/fhir/SearchParameter/patient-extensions-Patient-age',\n",
       "     'valueQuantity': {'value': 58}}],\n",
       "   'gender': 'female',\n",
       "   'id': '28cd8c4a-2a0a-5090-8ee1-52cc2a9df946',\n",
       "   'identifier': [{'system': 'https://gdc.cancer.gov/case_submitter_id',\n",
       "     'use': 'secondary',\n",
       "     'value': 'TCGA-BH-A0W3'},\n",
       "    {'system': 'https://gdc.cancer.gov/case_id',\n",
       "     'use': 'official',\n",
       "     'value': '3c612e12-6de8-44fa-a095-805c45474821'}],\n",
       "   'resourceType': 'Patient'}}]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import gripql\n",
    "\n",
    "conn = gripql.Connection(\"http://localhost:8201\")\n",
    "G = conn.graph(\"gdc_brca\")\n",
    "G.query().V().hasLabel(\"Patient\").execute()[:1] # look at structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c6a37028-84d1-465c-a796-a60d37949c95",
   "metadata": {},
   "outputs": [],
   "source": [
    "subtypes = G.query().V().hasLabel(\"Observation\").as_(\"observation\").unwind(\"$.code\").unwind(\"$.code.coding\").has(gripql.eq(\"$.code.coding.code\", \"NCIT_C185941\")).execute()\n",
    "subtypes_patients = G.query().V().hasLabel(\"Observation\").as_(\"observation\").unwind(\"$.code\").unwind(\"$.code.coding\").has(gripql.eq(\"$.code.coding.code\", \"NCIT_C185941\")).out(\"focus_Patient\").execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "21b84c60-42ef-4711-afc4-5026c9bab98e",
   "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>secondary_identifier</th>\n",
       "      <th>subtype</th>\n",
       "      <th>gender</th>\n",
       "      <th>race</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>age</th>\n",
       "      <th>deceased</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TCGA-3C-AAAU</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>55</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TCGA-3C-AALI</td>\n",
       "      <td>Her2</td>\n",
       "      <td>female</td>\n",
       "      <td>black or african american</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>50</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TCGA-3C-AALJ</td>\n",
       "      <td>LumB</td>\n",
       "      <td>female</td>\n",
       "      <td>black or african american</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>62</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TCGA-3C-AALK</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>black or african american</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>52</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TCGA-4H-AAAK</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>50</td>\n",
       "      <td>False</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>TCGA-WT-AB44</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>77</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>TCGA-XX-A899</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>46</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>TCGA-XX-A89A</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>68</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>TCGA-Z7-A8R5</td>\n",
       "      <td>LumA</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>61</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>TCGA-Z7-A8R6</td>\n",
       "      <td>LumB</td>\n",
       "      <td>female</td>\n",
       "      <td>white</td>\n",
       "      <td>not hispanic or latino</td>\n",
       "      <td>46</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>995 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    secondary_identifier subtype  gender                       race  \\\n",
       "0           TCGA-3C-AAAU    LumA  female                      white   \n",
       "1           TCGA-3C-AALI    Her2  female  black or african american   \n",
       "2           TCGA-3C-AALJ    LumB  female  black or african american   \n",
       "3           TCGA-3C-AALK    LumA  female  black or african american   \n",
       "4           TCGA-4H-AAAK    LumA  female                      white   \n",
       "..                   ...     ...     ...                        ...   \n",
       "990         TCGA-WT-AB44    LumA  female                      white   \n",
       "991         TCGA-XX-A899    LumA  female                      white   \n",
       "992         TCGA-XX-A89A    LumA  female                      white   \n",
       "993         TCGA-Z7-A8R5    LumA  female                      white   \n",
       "994         TCGA-Z7-A8R6    LumB  female                      white   \n",
       "\n",
       "                  ethnicity  age deceased  \n",
       "0    not hispanic or latino   55    False  \n",
       "1    not hispanic or latino   50    False  \n",
       "2    not hispanic or latino   62    False  \n",
       "3    not hispanic or latino   52    False  \n",
       "4    not hispanic or latino   50    False  \n",
       "..                      ...  ...      ...  \n",
       "990  not hispanic or latino   77    False  \n",
       "991  not hispanic or latino   46    False  \n",
       "992  not hispanic or latino   68    False  \n",
       "993  not hispanic or latino   61    False  \n",
       "994  not hispanic or latino   46    False  \n",
       "\n",
       "[995 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "\n",
    "def expand_metadata(patient_data) -> dict:\n",
    "    exts = patient_data.get('extension', [])\n",
    "    race = next((ext.get('valueString') for ext in exts if 'us-core-race' in ext.get('url', '')), None)\n",
    "    ethnicity = next((ext.get('valueString') for ext in exts if 'us-core-ethnicity' in ext.get('url', '')), None)\n",
    "    age = next((ext.get('valueQuantity', {}).get('value') for ext in exts if 'Patient-age' in ext.get('url', '')), None)\n",
    "    \n",
    "    idents = patient_data.get('identifier', [])\n",
    "    secondary_identifier = next((iden.get('value') for iden in idents if iden.get('use') == 'secondary'), None)\n",
    "    official_identifier = next((iden.get('value') for iden in idents if iden.get('use') == 'official'), None)\n",
    "    \n",
    "    return {\n",
    "        'id': patient_data.get('id'),\n",
    "        'official_identifier': official_identifier,\n",
    "        'secondary_identifier': secondary_identifier,\n",
    "        'gender': patient_data.get('gender'),\n",
    "        'race': race,\n",
    "        'ethnicity': ethnicity,\n",
    "        'age': age,\n",
    "        'deceased': patient_data.get('deceasedBoolean')\n",
    "    }\n",
    "\n",
    "# create a data frame for phenotypic data\n",
    "df_pheno = pd.DataFrame([expand_metadata(dat['data']) for dat in subtypes_patients])\n",
    "df_pheno['age'] = pd.to_numeric(df_pheno['age'], errors='coerce').fillna(0).astype(np.int64)\n",
    "\n",
    "l = []\n",
    "for item in subtypes:\n",
    "    if 'valueString' in item['data'].keys():\n",
    "        l.append(item['data']['valueString'])\n",
    "df_pheno['subtype'] = l\n",
    "df_pheno[[\"secondary_identifier\", \"subtype\", \"gender\", \"race\",\t\"ethnicity\", \"age\", \"deceased\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4f820204-5d8f-4419-bf11-0c563fef31d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pheno.to_csv(\"../data/brca_pheno.csv\", index=False)"
   ]
  }
 ],
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