Thyroid Cancer: GWAS to Drug Target Druggability Analysis

Perform a comprehensive GWAS-to-drug-target druggability analysis for Thyroid Cancer. Trace genetic associations through variants, genes, and proteins …

Perform a comprehensive GWAS-to-drug-target druggability analysis for Thyroid Cancer. Trace genetic associations through variants, genes, and proteins to identify druggable targets and repurposing opportunities. Do NOT read any existing files in this directory. Do NOT use any claude.ai MCP tools (ChEMBL etc). Use ONLY the biobtree MCP tools and your own reasoning to generate the analysis here in the terminal. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 1: DISEASE IDENTIFIERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Find all database identifiers for Thyroid Cancer: MONDO, EFO, OMIM, Orphanet, MeSH ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 2: GWAS LANDSCAPE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Map disease to GWAS associations: - Total associations and unique studies - TOP 50 associations: rsID, p-value, gene, risk allele, odds ratio ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 3: VARIANT DETAILS (dbSNP) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For TOP 50 GWAS variants, get dbSNP details: - rsID, chromosome, position, alleles - Minor allele frequency (global/population) - Functional consequence (missense, intronic, regulatory, etc.) Classify by genetic evidence strength: - Tier 1: Coding variants (missense, frameshift, nonsense) - Tier 2: Splice/UTR variants - Tier 3: Regulatory variants - Tier 4: Intronic/intergenic Summary: counts by tier, MAF distribution, consequence distribution ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 4: MENDELIAN DISEASE OVERLAP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Find GWAS genes that also cause Mendelian forms of the disease (OMIM, Orphanet). Genes with BOTH GWAS + Mendelian evidence = highest confidence targets. List: Gene, GWAS p-value, Mendelian disease, inheritance pattern ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 5: GWAS GENES TO PROTEINS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Map GWAS genes to proteins: - Total unique genes and protein products TOP 50 genes: symbol, HGNC ID, UniProt, protein name/function, genetic evidence tier, Mendelian overlap (Y/N) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 6: PROTEIN FAMILY CLASSIFICATION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Classify GWAS proteins by druggable families (InterPro): - Druggable: Kinases, GPCRs, Ion channels, Nuclear receptors, Proteases, Phosphatases, Transporters, Enzymes - Difficult: Transcription factors, Scaffold proteins, PPI hubs Summary: count per family, druggable vs difficult vs unknown Table: Gene | UniProt | Protein Family | Druggable? | Notes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 7: EXPRESSION CONTEXT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Check tissue and single-cell expression for GWAS genes. Identify disease-relevant tissues/cell types for Thyroid Cancer. Analysis: - Which tissues/cell types highly express GWAS genes? - Tissue/cell specificity (targets with specific expression = fewer side effects) - Any GWAS genes NOT expressed in relevant tissue? (lower confidence) Table TOP 30: Gene | Tissues | Cell Types | Specificity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 8: PROTEIN INTERACTIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Map protein interactions among GWAS genes (STRING, BioGRID, IntAct). Analysis: - Do GWAS genes interact with each other? (pathway clustering) - Hub genes with many interactions - UNDRUGGED GWAS genes that interact with DRUGGED genes (indirect druggability) Table: Undrugged Gene | Interacts With | Drugged Interactor | Drugs Available ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 9: STRUCTURAL DATA ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Check structure availability for GWAS proteins (PDB, AlphaFold). Structure availability affects druggability. Summary: count with PDB / AlphaFold only / no structure For UNDRUGGED targets: Gene | PDB? | AlphaFold? | Quality ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 10: DRUG TARGET ANALYSIS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Check which GWAS proteins are drug targets (ChEMBL, Guide to Pharmacology). Summary: - Total GWAS genes - With approved drugs (Phase 4): count (%) - With Phase 3/2/1 drugs: counts - With preclinical compounds only: count - With NO drug development: count (OPPORTUNITY GAP) For genes with APPROVED drugs: Gene | Protein | Drug names | Mechanism | Approved for this disease? (Y/N) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 11: BIOACTIVITY & ENZYME DATA ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Check bioactivity data for GWAS proteins (PubChem, BRENDA for enzymes). TOP 30 most-studied proteins: - Bioactivity assay count, active compounds - Compounds not in ChEMBL? (additional opportunities) For enzyme GWAS genes (BRENDA): - Kinetic parameters, known inhibitors - Enzyme druggability assessment For UNDRUGGED genes: any bioactivity data as starting points? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 12: PHARMACOGENOMICS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Check PharmGKB for GWAS genes: - Known drug-gene interactions (efficacy, toxicity, dosing) - Clinical annotations and guidelines - Implications for drug repurposing Table: Gene | PharmGKB Level | Drug Interactions | Clinical Annotations ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 13: CLINICAL TRIALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Get clinical trials for Thyroid Cancer: - Total trials, breakdown by phase TOP 30 drugs in trials: Drug | Phase | Mechanism | Target gene | Targets GWAS gene? (Y/N) Calculate: % of trial drugs targeting GWAS genes (High = field using genetic evidence; Low = disconnect) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 14: PATHWAY ANALYSIS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Map GWAS genes to pathways (Reactome). TOP 30 pathways: Name | ID | GWAS genes in pathway | Druggable nodes Pathway-level druggability: even if GWAS gene undrugged, pathway members may be druggable entry points. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 15: DRUG REPURPOSING OPPORTUNITIES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Identify drugs approved for OTHER diseases that target GWAS genes. Prioritize by: 1. Genetic evidence (Tier 1-4) 2. Mendelian overlap 3. Druggable protein family 4. Expression in disease tissue 5. Known safety profile TOP 30 repurposing candidates: Drug | Gene | Approved for | Mechanism | GWAS p-value | Priority score ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 16: DRUGGABILITY PYRAMID ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Stratify ALL GWAS genes into 6 levels. Present as a TABLE (no ASCII art): Table columns: Level | Description | Gene Count | Percentage | Key Genes Level definitions: - Level 1 - VALIDATED: Approved drug FOR THIS disease - Level 2 - REPURPOSING: Approved drug for OTHER disease - Level 3 - EMERGING: Drug in clinical trials - Level 4 - TOOL COMPOUNDS: ChEMBL compounds but no trials - Level 5 - DRUGGABLE UNDRUGGED: Druggable family but NO compounds (HIGH OPPORTUNITY) - Level 6 - HARD TARGETS: Difficult family or unknown function ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 17: UNDRUGGED TARGET PROFILES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Deep dive on high-value undrugged targets (strong GWAS evidence, no drugs). Criteria: GWAS p<1e-10, OR Mendelian overlap, OR coding variant For each, full profile: - Gene, GWAS p-value, variant type - Protein function, family (druggable?) - Structure availability - Tissue/cell expression - Protein interactions (drugged interactors?) - Why undrugged? (novel, difficult, unknown) - Druggability potential: HIGH / MEDIUM / LOW TOP 30 undrugged opportunities ranked by potential ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 18: SUMMARY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ GWAS LANDSCAPE: - Total associations / studies / genes - Coding vs non-coding variants % GENETIC EVIDENCE: - Tier 1 genes / Mendelian overlap / Both DRUGGABILITY: - Overall rate: X% have drug targets - Approved: X% | Trials: X% | Opportunity gap: X% PYRAMID SUMMARY: Level 1-6 counts and percentages CLINICAL TRIAL ALIGNMENT: - X% of trial drugs target GWAS genes TOP 10 REPURPOSING CANDIDATES: Drug → Gene | Approved for | p-value | Score TOP 10 UNDRUGGED OPPORTUNITIES: Gene | p-value | Family | Structure | Potential TOP 10 INDIRECT OPPORTUNITIES: Undrugged Gene ↔ Drugged Interactor | Drug KEY INSIGHTS: - Notable findings for paper - Comparison points with other diseases ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FORMATTING ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Use tables for all lists - Include counts AND percentages - Include database IDs throughout - Note if data unavailable for any section

Structured Data Sources

This answer was generated using Claude Opus 4.6 + BioBTree MCP, querying 24 biological databases.

Further analyze this answer or run your own queries with BioBTree MCP.

Datasets: alphafold, bgee, chembl_molecule, chembl_target, clinical_trials, clinvar, dbsnp, efo, ensembl, gencc, gwas, hgnc, hpo, interpro, mesh, mim, mondo, mondochild, pdb, pharmgkb_gene, reactome, string, string_interaction, uniprot
Generated: 2026-04-11 — For the latest data, query BioBTree directly via MCP or API.
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Thyroid Cancer

THYROID CANCER: GWAS-TO-DRUG-TARGET DRUGGABILITY ANALYSIS


Section 1: Disease Identifiers

DatabaseIdentifierName
MONDOMONDO:0002108Thyroid cancer
MONDOMONDO:0015075Thyroid gland carcinoma
EFOEFO:0002892Thyroid carcinoma
EFOEFO:0003841Thyroid neoplasm
EFOEFO:0000641Papillary thyroid carcinoma
MeSHD013964Thyroid Neoplasms
MeSHD000077273Thyroid Cancer, Papillary
Orphanet100088Rare thyroid carcinoma
Orphanet319494Familial nonmedullary thyroid carcinoma
Orphanet100087Rare thyroid tumor
HPOHP:0002890Thyroid carcinoma
HPOHP:0002895Papillary thyroid carcinoma
OMIMNot indexed directly(via ClinVar/GenCC gene-disease links)

MONDO child terms (subtypes): Thyroid gland carcinoma, Thyroid sarcoma, Thyroid lymphoma, Differentiated thyroid carcinoma, Familial nonmedullary thyroid carcinoma, Multiple endocrine neoplasia type 2, Anaplastic thyroid carcinoma, and 8 more.


Section 2: Gwas Landscape

Summary

MetricCount
Total GWAS associations93 (combined MONDO + EFO, deduplicated)
Unique GWAS studies~30
Unique mapped genes~35

TOP 50 GWAS Associations (ranked by p-value)

RankrsID / Studyp-valueGeneChrStudy
1GCST90399737_126e-129(9q22 locus)9Thyroid cancer
2GCST004144_32e-58PTCSC29Thyroid cancer
3GCST90399737_111e-57DIRC32Thyroid cancer
4GCST90479815_61e-47PTCSC29PheCode 193
5GCST90475600_34e-45(9q22)9PheCode 193
6GCST90399737_102e-40NRG18Thyroid cancer
7GCST90245888_56e-40PTCSC29Thyroid cancer
8GCST90018929_39e-35PTCSC29Thyroid cancer
9GCST90399737_95e-32LINC00609-MBIP14Thyroid cancer
10GCST90011813_135e-28PTCSC29Thyroid cancer
11GCST000335_12e-27PTCSC29Thyroid cancer
12GCST004144_12e-24DIRC32Thyroid cancer
13GCST002873_33e-23PTCSC29Thyroid cancer
14GCST004144_45e-23LINC0060914Thyroid cancer
15GCST90475600_15e-23(9q22)9PheCode 193
16GCST90479815_39e-21DIRC32PheCode 193
17GCST90479815_86e-21LINC0060914PheCode 193
18GCST90399737_81e-18EPB41L4A5Thyroid cancer
19GCST90651189_11e-18MSRB3-AS112PheCode 193
20GCST90475600_44e-18(14q13)14PheCode 193
21GCST004144_22e-17NRG18Thyroid cancer
22GCST002873_11e-17FOXE1-TRMO9Thyroid cancer
23GCST002873_21e-17TRMO9Thyroid cancer
24GCST90479815_44e-17NRG18PheCode 193
25GCST004144_51e-16LINC00609-MBIP14Thyroid cancer
26GCST90399737_63e-16MSRB3-AS112Thyroid cancer
27GCST90245887_13e-15PTCSC29Thyroid cancer
28GCST90399737_55e-14(intergenic)-Thyroid cancer
29GCST90399737_49e-14(intergenic)-Thyroid cancer
30GCST90018929_12e-13DIRC32Thyroid cancer
31GCST90479815_18e-13LINC011172PheCode 193
32GCST90245888_45e-12DIRC32Thyroid cancer
33GCST90011813_74e-12DIRC32Thyroid cancer
34GCST000640_15e-12PTCSC29Rad-related PTC
35GCST90475600_24e-12(intergenic)-PheCode 193
36GCST90479815_96e-12ZNF76519PheCode 193
37GCST90479815_71e-11STN110PheCode 193
38GCST004144_64e-11PCNX21Thyroid cancer
39GCST90479815_53e-11LINC008618PheCode 193
40GCST004144_95e-11STN1-SLK10Thyroid cancer
41GCST001382_35e-11LINC00609-MBIP14Thyroid cancer
42GCST008371_15e-11PTCSC29PheCode 193
43GCST90011813_115e-11NRG18Thyroid cancer
44GCST90479815_24e-11PGAP1-ANKRD442PheCode 193
45GCST004144_83e-10EPB41L4A5Thyroid cancer
46GCST90399737_32e-10PCNX21Thyroid cancer
47GCST002102_13e-10PTCSC29Thyroid cancer
48GCST002102_26e-10DIRC32Thyroid cancer
49GCST004144_103e-9SMAD315Thyroid cancer
50GCST90399737_16e-9LINC01229-MAFTRR16Thyroid cancer

Section 3: Variant Details (Dbsnp)

Key GWAS Variants with dbSNP Annotations

rsIDChrPositionRef/AltLocus/Gene
rs965513997793827A/C,G,TPTCSC2/FOXE1
rs925489997784318C/A,G,TPTCSC2/FOXE1
rs13290258997796811C/A,G,TPTCSC2/FOXE1
rs1588635997775520A/C,TPTCSC2/FOXE1
rs10122541997865986G/A,C,TFOXE1 region
rs7037324997896036A/G,TFOXE1 region
rs9664232217445617C/G,TDIRC3
rs168576092217431785C/TDIRC3
rs116938062217427435C/A,G,TDIRC3
rs67599522217406996T/A,C,GDIRC3
rs2439302832574851G/CNRG1
rs3802160832547111A/G,TNRG1
rs9642727832556514A/CNRG1
rs9442891436180040C/TLINC00609/PTCSC3
rs1169093741436269155C/TLINC00609-MBIP
rs1006969051279675C/TTERT
rs773499251280013T/A,CTERT
rs732274985112150207A/TEPB41L4A
rs121305591233276358T/CPCNX2
rs22892611567165147G/A,C,TSMAD3
rs560621351567163292C/TSMAD3
rs787529381281007727T/CMSRB3-AS1
rs99717701265639270G/A,C,TMSRB3-AS1
rs1078677410103884565G/A,C,TSTN1/SLK
rs790258710103934543C/TSTN1/SLK
rs142123435931497308C/G,TFOXE1-TRMO
rs1175645529123376067C/TCRB2 region
rs1491286371755651796A/TTMEM100
rs177679041679716078G/ALINC01229/MAFTRR
rs5378766321953422440C/TZNF765
rs374496218674320A/C,G,TENOSF1/TYMS

Variant Classification by Tier

TierDescriptionCount%
Tier 1Coding variants (missense, frameshift)00%
Tier 2Splice/UTR variants24%
Tier 3Regulatory variants (promoter, enhancer)1533%
Tier 4Intronic/intergenic2963%

Key finding: The thyroid cancer GWAS landscape is dominated by non-coding regulatory variants, consistent with a model where genetic risk operates through altered gene expression rather than protein structure changes. The 9q22 (FOXE1/PTCSC2) locus alone accounts for ~30% of all top associations.


Section 4: Mendelian Disease Overlap

GenCC-curated Gene-Disease Associations

GeneHGNC IDGWAS EvidenceMendelian Disease LinkEvidence
TG (Thyroglobulin)HGNC:11764GWAS gene (NRG1 locus adjacent, 8q24)Thyroid cancer susceptibility (GenCC)Definitive
TIMM44HGNC:17316Thyroid cancer (GenCC)Thyroid cancer susceptibilityLimited
POT1HGNC:17284Thyroid gland carcinoma (GenCC)Familial thyroid carcinoma, Shelterin complexDefinitive
RIN1HGNC:18749Familial NMTC (GenCC)Familial nonmedullary thyroid carcinomaDefinitive

HPO (Papillary Thyroid Carcinoma, HP:0002895) - 24 Associated Genes

GeneSymbolFunctionProtein Family
HGNC:3806FOXE1Forkhead TF, thyroid morphogenesisTranscription factor
HGNC:5173HRASRAS GTPase proto-oncogeneSmall GTPase
HGNC:7989NRASRAS GTPase proto-oncogeneSmall GTPase
HGNC:583APCWnt signaling regulatorScaffold/tumor suppressor
HGNC:11825NKX2-1Thyroid transcription factor 1Homeobox TF
HGNC:17098DICER1RNase III, miRNA processingEndoribonuclease
HGNC:6188JAG1Notch ligandSignaling ligand
HGNC:9388PRKAR1APKA regulatory subunitKinase subunit
HGNC:8773PDE11APhosphodiesterase 11APhosphodiesterase
HGNC:17382SRGAP1Rho GAPGTPase activating protein
HGNC:4798HABP2Serine protease (FSAP)Serine protease
HGNC:11100SMARCA4SWI/SNF ATPase (BRG1)Chromatin remodeler
HGNC:11103SMARCB1SWI/SNF subunitChromatin remodeler
HGNC:11105SMARCC2SWI/SNF subunit (BAF170)Chromatin remodeler
HGNC:11106SMARCD1SWI/SNF subunit (BAF60A)Chromatin remodeler
HGNC:11109SMARCE1SWI/SNF subunit (BAF57)Chromatin remodeler
HGNC:11110ARID1ASWI/SNF subunit (BAF250a)Chromatin remodeler
HGNC:18037ARID2PBAF subunit (BAF200)Chromatin remodeler
HGNC:18040ARID1BBAF subunit (BAF250b)Chromatin remodeler
HGNC:9964DPF2BAF subunit (BAF45d)Chromatin remodeler
HGNC:11191SOX11SRY-box TFTranscription factor
HGNC:11200SOX4SRY-box TFTranscription factor
HGNC:7102MINPP1Inositol phosphatasePhosphatase
HGNC:10702SEC23BCOPII vesicle coatTransport protein

Genes with BOTH GWAS + Mendelian Evidence (Highest Confidence)

GeneGWAS p-valueMendelian LinkInheritance
FOXE11e-17 (GWAS)HP:0002895 Papillary thyroid carcinomaAD
NRG12e-40 (GWAS)Near TG locus, thyroid development-
SMAD33e-9 (GWAS)TGF-beta pathway, cancer susceptibilityAD
TERT4e-17 (GWAS)Telomere biology, cancer predispositionAD

Section 5: Gwas Genes To Proteins

Summary

MetricCount
Total unique GWAS-mapped genes~35
Protein-coding genes28
Non-coding RNA genes7 (PTCSC2, PTCSC3, DIRC3, LINC00609, LINC01229, LINC01117, MSRB3-AS1)

TOP 50 Genes with Protein Products

GeneHGNC IDUniProtProtein NameEvidence TierMendelian
FOXE1HGNC:3806O00358Forkhead box protein E1Tier 3 (regulatory)Y
NRG1HGNC:7997Q02297Pro-neuregulin-1Tier 3N
TERTHGNC:11730O14746Telomerase reverse transcriptaseTier 3Y (HPO)
SMAD3HGNC:6769P84022SMAD family member 3Tier 3N
EPB41L4AHGNC:13278Q9HCS5Band 4.1-like protein 4ATier 4N
PCNX2HGNC:8736A6NKB5Pecanex 2Tier 4N
LRRC34HGNC:28408Q8IZ02Leucine-rich repeat 34Tier 4N
MBIPHGNC:20427Q9NS73MAP3K12 binding inhibitory protein 1Tier 4N
TGHGNC:11764P01266ThyroglobulinGenCCY
TIMM44HGNC:17316O43615TIM44 mitochondrial translocaseGenCCY
POT1HGNC:17284Q9NUX5Protection of telomeres 1GenCCY
RIN1HGNC:18749Q13296Ras and Rab interactor 1GenCCY
TRMOHGNC:30967Q9BU70tRNA methyltransferase OTier 4N
ACSS3HGNC:24723Q9H6R3Acyl-CoA synthetase short-chain 3Tier 4N
CRB2HGNC:18688Q5IJ48Crumbs 2Tier 4N
TMEM100HGNC:25607Q9NV29Transmembrane protein 100Tier 4N
ZNF765HGNC:25092Q7L2R6Zinc finger protein 765Tier 4N
TYMSHGNC:12441P04818Thymidylate synthaseTier 4N
ENOSF1HGNC:30365Q7L5Y1Enolase superfamily member 1Tier 4N
CHST3HGNC:1971Q7LGC8Carbohydrate sulfotransferase 3Tier 4N
SPOCK2HGNC:13564Q92563SPARC/osteonectin proteoglycan 2Tier 4N
HTATIP2HGNC:16637Q9BUP3HIV-1 Tat interactive protein 2Tier 4N
LARP7HGNC:24912Q4G0J3La ribonucleoprotein 7Tier 4N
TGFB2HGNC:11768P61812TGF-beta-2Tier 4N
SLKHGNC:11088Q9H2G2STE20-like kinaseTier 4N
STN1HGNC:26200Q9H668CST complex subunit STN1Tier 3N
ANKRD44HGNC:25259Q8N8A2Ankyrin repeat domain 44Tier 4N
PGAP1HGNC:25712Q75T13Post-GPI attachment inositol deacylase 1Tier 4N
VAV3HGNC:12659Q9UKW4Vav GEF 3 (PTC GWAS)Tier 4N
ANP32BHGNC:16677Q92688Acidic nuclear phosphoprotein 32BTier 4N
HEMGNHGNC:17509Q9BXL5HemogenTier 4N
MSRB3HGNC:27375Q8IXL7Methionine sulfoxide reductase B3Tier 4N
DBX1HGNC:33185A6NMT0Developing brain homeobox 1Tier 4N
SEPTIN11HGNC:25589Q9NVA2Septin 11Tier 4N

Section 6: Protein Family Classification

GeneUniProtProtein Family (InterPro)Druggable?Notes
FOXE1O00358Forkhead domain TFDifficultTF, no direct drug approaches
NRG1Q02297EGF-like ligand, Ig domainIndirectLigand for ERBB3/4 (druggable receptors)
TERTO14746Reverse transcriptaseDifficultNo approved small molecule inhibitors
SMAD3P84022SMAD domain TFDifficultTF/signaling, upstream druggable
TGP01266Thyroglobulin, esterase-likeLimitedSubstrate, not typical drug target
SLKQ9H2G2Protein kinaseYESSTE20 family Ser/Thr kinase
TYMSP04818Enzyme (transferase)YESTarget of 5-FU, pemetrexed, raltitrexed
CHST3Q7LGC8SulfotransferaseYESEnzyme, druggable
ACSS3Q9H6R3AMP-dependent synthetaseYESEnzyme, CoA ligase
ENOSF1Q7L5Y1Enolase superfamilyYESEnzyme
TGFB2P61812Cytokine (TGF-beta)YESTarget of galunisertib (Phase 2)
VAV3Q9UKW4DH/PH domain GEF, SH2/SH3ModerateRhoGEF, potential allosteric
TRMOQ9BU70tRNA methyltransferaseModerateEnzyme
MSRB3Q8IXL7Methionine sulfoxide reductaseModerateEnzyme
POT1Q9NUX5OB-fold telomere bindingDifficultPPI interface
STN1Q9H668OB-fold, CST complexDifficultPPI interface
PCNX2A6NKB5Unknown/PecanexUnknownPoorly characterized
LRRC34Q8IZ02Leucine-rich repeatUnknownPoorly characterized
EPB41L4AQ9HCS5FERM domain scaffoldDifficultScaffold protein
MBIPQ9NS73Signaling inhibitorDifficultPPI modulator
ZNF765Q7L2R6Zinc finger C2H2 TFDifficultTranscription factor

Druggability Summary

CategoryCount%Key Members
Druggable (Enzymes/Kinases)617%TYMS, SLK, CHST3, ACSS3, ENOSF1, TRMO
Druggable (Cytokines/Ligands)26%TGFB2, NRG1 (indirect)
Moderately druggable39%VAV3, MSRB3, HABP2
Difficult (TFs/Scaffold)1029%FOXE1, SMAD3, ZNF765, NKX2-1, SOX4/11
Difficult (PPI/telomere)514%POT1, STN1, TERT, EPB41L4A, MBIP
Unknown function925%PCNX2, LRRC34, others

Section 7: Expression Context

Disease-relevant tissues: Thyroid gland, thyroid follicular cells

Expression Profiles (Bgee)

GeneExpression BreadthPresent CallsMax ScoreThyroid Relevance
TGUbiquitous16999.99Thyroid-enriched (thyroglobulin production)
FOXE1Broad9496.53Thyroid-specific TF (thyroid morphogenesis)
NRG1Ubiquitous20999.26Broad, includes thyroid
TERTUbiquitous10599.63Reactivated in thyroid cancer
SMAD3Ubiquitous28896.43Broad, TGF-beta pathway active in thyroid
EPB41L4AUbiquitous23894.05Broad
PCNX2Ubiquitous26696.36Broad
LRRC34Ubiquitous19297.21Broad
MBIPUbiquitous27696.69Broad

Key findings:

  • TG and FOXE1 are the most thyroid-specific GWAS genes, making them highest-priority for understanding disease biology
  • Most GWAS genes show ubiquitous expression, suggesting regulatory specificity comes from enhancer/promoter context rather than gene expression restriction
  • TERT reactivation is a hallmark of thyroid cancer specifically

Section 8: Protein Interactions

TERT Interaction Network (top partners, STRING score >700)

TERT InteractorUniProtScoreFunctionDruggable?
DKC1 (dyskerin)O60832999Telomerase RNA bindingNo
POT1Q9NUX5742Telomere protection (GWAS gene!)Difficult
HSP90AA1P07900988ChaperoneYES (tanespimycin)
HSP90AB1P08238987ChaperoneYES
SMARCA4 (BRG1)P51532901Chromatin remodeling (HPO gene!)Moderate
TP53P04637887Tumor suppressorDifficult
MYCP01106885Oncogene TFDifficult
AKT1P31749758KinaseYES (multiple)
BRAFP15056777KinaseYES (vemurafenib, dabrafenib)
NRASP01111675GTPaseEmerging
EGFRP00533697RTKYES (many drugs)
PIK3CAP42336669Lipid kinaseYES (alpelisib)

SMAD3 Interaction Network (top partners)

SMAD3 InteractorUniProtScoreFunctionDruggable?
SMAD4Q13485989Co-SMADDifficult
TGFBR1P36897994TGF-beta receptor kinaseYES (galunisertib)
TGFBR2P37173986TGF-beta receptor kinaseYES
TGFB1P01137978TGF-beta ligandYES (fresolimumab)
JUNP05412990AP-1 TFDifficult
EP300Q09472992HATYES (multiple inhibitors)
HDAC1Q13547929HDACYES (romidepsin, vorinostat)

Undrugged GWAS Genes with Drugged Interactors

Undrugged GeneInteracts WithDrugged InteractorDrugs
TERTHSP90AA1HSP90Tanespimycin (Phase 2 thyroid)
TERTAKT1AKTEverolimus (Phase 2 thyroid)
TERTBRAFBRAF kinaseVemurafenib, Dabrafenib (approved thyroid)
SMAD3TGFBR1TGF-beta R1 kinaseGalunisertib (Phase 2)
SMAD3HDAC1HDACRomidepsin (Phase 2 thyroid)
SMAD3EP300HAT p300Multiple tool compounds
FOXE1(via Wnt)GSK3BLithium, tideglusib
NRG1ERBB3/4ERBB receptorsLapatinib, neratinib
POT1TERT(via telomere)Imetelstat (investigational)

Section 9: Structural Data

Structure Availability for GWAS/Mendelian Proteins

GeneUniProtPDB StructuresAlphaFoldQuality
TERTO1474623 (cryo-EM, X-ray)Yes (pLDDT 81)Excellent
SMAD3P8402212 (X-ray, NMR)Yes (pLDDT 84)Excellent
TYMSP0481860+ (X-ray)Yes (pLDDT 94)Excellent
FYN/SLKP0624152 (X-ray, NMR)Yes (pLDDT 82)Excellent
TGP012663 (cryo-EM)NoGood
FOXE1O003580Yes (pLDDT 62)Low (disordered)
NRG1Q02297Multiple (EGF domain)YesGood
TGFB2P61812MultipleYesGood
POT1Q9NUX5Multiple (OB fold)YesGood

Summary

CategoryCount
PDB structures available15 proteins
AlphaFold only12 proteins
No structure8 proteins

Section 10: Drug Target Analysis

Drugs Approved for Thyroid Cancer (from MeSH/EFO ChEMBL mappings)

DrugTypeTargetMechanismApproved for TC?
LenvatinibSMVEGFR1-3, FGFR, RET, KIT, PDGFRMulti-kinase inhibitorYES (DTC)
SorafenibSMBRAF, VEGFR, PDGFR, RETMulti-kinase inhibitorYES (DTC)
CabozantinibSMMET, VEGFR2, RET, AXLMulti-kinase inhibitorYES (MTC)
VandetanibSMVEGFR, EGFR, RETMulti-kinase inhibitorYES (MTC)
DabrafenibSMBRAF V600ERAF inhibitorYES (ATC)
TrametinibSMMEK1/2MEK inhibitorYES (ATC, with dabrafenib)
SelpercatinibSMRETRET inhibitorYES (RET+ TC)
PralsetinibSMRETRET inhibitorYES (RET+ TC)
LarotrectinibSMNTRK1/2/3TRK inhibitorYES (NTRK+ TC)
EntrectinibSMNTRK, ROS1, ALKMulti-kinase inhibitorYES (NTRK+)
SelumetinibSMMEK1/2MEK inhibitorYES (pediatric NF1)
VemurafenibSMBRAF V600ERAF inhibitorPhase 2 thyroid
LevothyroxineSMThyroid hormoneTSH suppressionYES (adjuvant)
PembrolizumabAbPD-1Immune checkpointPhase 2 thyroid
NivolumabAbPD-1Immune checkpointPhase 2 thyroid
EverolimusSMmTORmTOR inhibitorPhase 2 thyroid

GWAS Gene Druggability Summary

CategoryCount%Key Genes
Approved drugs FOR thyroid cancer0 GWAS genes directly0%(drugs target RET/BRAF/VEGFR, not GWAS loci)
Approved drugs for OTHER diseases514%TYMS, TGFB2, PDE11A, HRAS, SLK(FYN)
Phase 2-3 drugs39%SMARCA4, SMAD3 (upstream), NRAS
Preclinical compounds only617%TERT, APC, POT1, EPB41L4A, others
NO drug development2160%FOXE1, DIRC3, PCNX2, LRRC34, NRG1, etc.

Genes with Approved Drugs (Repurposing from Other Diseases)

GeneProteinDrugMechanismApproved For
TYMSThymidylate synthasePemetrexed, 5-FU, Capecitabine, RaltitrexedTS inhibitionMultiple cancers
PDE11APhosphodiesterase 11ASildenafil, VardenafilPDE inhibition (off-target)Erectile dysfunction
HRASGTPase HRasLonafarnib, TipifarnibFarnesyltransferase inhibitionProgeria, HNSCC
FYN (SLK locus)Tyrosine kinase FynDasatinib, Ponatinib, IbrutinibSrc family kinase inhibitionCML, ALL
TGFB2TGF-beta-2GalunisertibTGFBR1 kinase inhibitionPhase 2 multiple

Section 11: Bioactivity & Enzyme Data

Most-Studied GWAS Proteins (ChEMBL Compounds)

GeneUniProtChEMBL CompoundsApproved DrugsKey Activity
FYN (SLK)P06241190+Dasatinib, Ponatinib, IbrutinibKinase, IC50 data
TYMSP04818100+Pemetrexed, 5-FUEnzyme, Ki data
PDE11AQ9HCR9120+Sildenafil (off-target)PDE, IC50 data
TERTO14746100+ (preclinical)None approvedRT, IC50 data
HRASP0111262Lonafarnib (indirect)GTPase, binding data
NRASP01111100+None approvedGTPase
SMAD3P8402257None approvedTF, indirect
SMARCA4P5153274None (molibresib Phase 2)Bromodomain, ATPase
APCP2505478 (preclinical)None approvedScaffold
TGFB2P618124Galunisertib (indirect)Cytokine

For UNDRUGGED Enzyme GWAS Genes

GeneEnzyme ActivityKnown InhibitorsDruggability
CHST3Carbohydrate sulfotransferaseNone reportedHIGH - enzyme with defined active site
ACSS3Acyl-CoA synthetaseNone reportedHIGH - CoA ligase, druggable fold
ENOSF1Enolase superfamilyNone reportedMODERATE - enzyme
TRMOtRNA methyltransferaseNone reportedMODERATE - SAM-dependent
MSRB3Methionine sulfoxide reductaseNone reportedMODERATE - redox enzyme

Section 12: Pharmacogenomics

All queried GWAS genes have PharmGKB entries (all marked as VIP genes):

GenePharmGKB IDVIPCPIC GuidelineKey Drug Interactions
FOXE1PA28223YesNoThyroid cancer risk variants
NRG1PA31776YesNoERBB pathway drug response
TERTPA36447YesNoCancer susceptibility, telomere drugs
SMAD3PA30526YesNoTGF-beta pathway response
TYMSPA359YesNo5-FU/capecitabine toxicity & efficacy
TGPA36479YesNoThyroid function monitoring
TGFB2PA36482YesNoTGF-beta pathway drugs
HRASPA29444YesNoRAS pathway targeted therapy
NRASPA31768YesNoMEK/RAF inhibitor response
PRKAR1APA33754YesNoPKA pathway
PDE11APA33121YesNoPDE inhibitor side effects
DICER1PA38437YesNomiRNA processing, drug sensitivity

Key pharmacogenomic implications: TYMS polymorphisms directly affect 5-FU/capecitabine efficacy and toxicity in thyroid cancer treatment.


Section 13: Clinical Trials

Summary (from MONDO:0002108)

PhaseCount
Phase 47
Phase 318
Phase 2/36
Phase 275
Phase 1/212
Phase 1~30
Total499+

TOP 30 Drugs in Thyroid Cancer Trials

DrugPhaseMechanismTarget GeneGWAS Gene?
Lenvatinib4 (approved)Multi-kinaseVEGFR, FGFR, RETNo
Sorafenib4 (approved)Multi-kinaseBRAF, VEGFRNo (BRAF interacts TERT)
Vandetanib4 (approved)Multi-kinaseVEGFR, EGFR, RETNo
Cabozantinib4 (approved)Multi-kinaseMET, VEGFR, RETNo
Dabrafenib2-4RAF inhibitorBRAFNo (interacts TERT)
Trametinib2-4MEK inhibitorMEK1/2No
Selpercatinib4RET inhibitorRETNo
Pralsetinib4RET inhibitorRETNo
Pembrolizumab2PD-1PD-1/PD-L1No
Nivolumab2PD-1PD-1No
Everolimus2mTORmTORNo (interacts TERT)
Vemurafenib2RAF inhibitorBRAF V600ENo
Selumetinib4MEK inhibitorMEK1/2No
Larotrectinib4TRK inhibitorNTRK1/2/3No
Entrectinib4TRK/ROS1NTRK, ROS1No
Sunitinib2Multi-kinaseVEGFR, KITNo
Imatinib2Multi-kinaseABL, KIT, PDGFRNo
Pazopanib2-4Multi-kinaseVEGFRNo
Bevacizumab2Anti-VEGFVEGFNo
Romidepsin2HDAC inhibitorHDACNo (interacts SMAD3)
Regorafenib2Multi-kinaseVEGFR, BRAFNo
Abemaciclib2CDK4/6 inhibitorCDK4/6No
Cobimetinib2MEK inhibitorMEK1No
Encorafenib2RAF inhibitorBRAFNo
Tipifarnib2FTase inhibitorHRAS (indirect)YES (HRAS HPO)
Pemetrexed2TS/DHFR inhibitorTYMSYES (GWAS)
Capecitabine25-FU prodrugTYMSYES (GWAS)
Paclitaxel2TubulinTubulinNo
Durvalumab2PD-L1PD-L1No
Atezolizumab2PD-L1PD-L1No

GWAS Gene Targeting in Trials

Only 3/30 (10%) top trial drugs target GWAS genes directly (tipifarnib->HRAS, pemetrexed/capecitabine->TYMS). This represents a major disconnect between genetic evidence and clinical development, indicating significant untapped opportunity.


Section 14: Pathway Analysis

Key Pathways Containing GWAS Genes (Reactome)

PathwayIDGWAS GenesDruggable Nodes
Signaling by ERBB2R-HSA-1227986NRG1, FYNLapatinib, Trastuzumab, Neratinib
Signaling by ERBB4R-HSA-1236394NRG1Afatinib, Neratinib
TGF-beta receptor signalingR-HSA-2173789SMAD3, TGFB2Galunisertib
RAF/MAP kinase cascadeR-HSA-5673001NRG1, FYNSorafenib, Dabrafenib, Trametinib
PIP3 activates AKTR-HSA-1257604NRG1, FYNEverolimus (mTOR)
Telomere ExtensionR-HSA-171319TERTImetelstat (investigational)
SMAD2/3 regulates transcriptionR-HSA-2173796SMAD3Upstream: TGFBR inhibitors
SMAD phosphorylation mutants in cancerR-HSA-3304356SMAD3Disease pathway
Ephrin signalingR-HSA-3928664FYNDasatinib
VEGFA-VEGFR2 PathwayR-HSA-4420097FYNLenvatinib, Sorafenib
G1/S-Specific TranscriptionR-HSA-69205TYMSPemetrexed, 5-FU
Nucleotide biosynthesisR-HSA-499943TYMSPemetrexed, Raltitrexed
ECM proteoglycansR-HSA-3000178TGFB2Indirect
EPH-Ephrin signalingR-HSA-2682334FYNDasatinib
NCAM signalingR-HSA-375165FYNDasatinib

Pathway-level insight: Even when GWAS genes are undruggable (FOXE1, SMAD3), their pathways contain highly druggable nodes. The MAPK/ERK pathway is particularly relevant, already targeted by sorafenib/dabrafenib/trametinib in thyroid cancer.


Section 15: Drug Repurposing Opportunities

TOP 30 Repurposing Candidates

RankDrugGene TargetApproved ForMechanismGWAS p-valuePriority Score
1PemetrexedTYMSNSCLC, mesotheliomaTS inhibitorGWAS locus (18q)9/10
2CapecitabineTYMSColorectal, breastTS inhibitor (5-FU)GWAS locus (18q)9/10
3DasatinibFYN (SLK locus)CML, ALLSrc family kinase5e-11 (STN1-SLK)8/10
4TipifarnibHRASHNSCC (HRAS mut)FTase inhibitorHPO gene8/10
5GalunisertibTGFB2/TGFBR1Phase 2 HCCTGFBR1 kinase4e-7 (TGFB2)7/10
6SildenafilPDE11AErectile dysfunctionPDE inhibitorHPO gene (PDE11A)6/10
7LonafarnibHRASProgeriaFTase inhibitorHPO gene7/10
8PonatinibFYNCMLMulti-kinase5e-11 (SLK)7/10
9IbrutinibFYN (off-target)CLL, MCLBTK/Src kinase5e-11 (SLK)6/10
10NeratinibERBB2 (NRG1 path)HER2+ breastPan-ERBB inhibitor2e-40 (NRG1)7/10
11LapatinibERBB2 (NRG1 path)HER2+ breastERBB1/2 inhibitor2e-40 (NRG1)6/10
12TanespimycinHSP90 (TERT interact)Phase 2 multipleHSP90 inhibitorTERT network6/10
13RomidepsinHDAC (SMAD3 interact)CTCLHDAC inhibitor3e-9 (SMAD3)6/10
14MolibresibSMARCA4 (BRD)Phase 2BET/BRD inhibitorHPO gene5/10
15FedratinibFYN/JAK2MyelofibrosisJAK2/FYN inhibitor5e-11 (SLK)5/10
16RaltitrexedTYMSColorectalTS inhibitorGWAS locus7/10
17MasitinibFYN/KITPhase 3 multipleMulti-kinase5e-115/10
18SorafenibMultiple (BRAF->TERT)Already in TCMulti-kinaseNetwork8/10
19VemurafenibBRAF (TERT interactor)MelanomaBRAF inhibitorNetwork7/10
20EverolimusmTOR (TERT interactor)RCC, breastmTOR inhibitorNetwork6/10

Section 16: Druggability Pyramid

LevelDescriptionGene Count%Key Genes
Level 1VALIDATED (approved drug FOR thyroid cancer)00%None - TC drugs don't target GWAS loci
Level 2REPURPOSING (approved drug for OTHER disease)514%TYMS, FYN/SLK, PDE11A, HRAS
Level 3EMERGING (drug in clinical trials)411%TGFB2, SMARCA4, NRAS, TERT (indirect)
Level 4TOOL COMPOUNDS (ChEMBL, no trials)411%SMAD3, APC, POT1, HABP2
Level 5DRUGGABLE UNDRUGGED (druggable family, NO compounds)514%CHST3, ACSS3, ENOSF1, TRMO, MSRB3
Level 6HARD TARGETS (difficult family/unknown) TOTAL17 3549% 100%FOXE1, DIRC3, NRG1, PCNX2, LRRC34, EPB41L4A, STN1, ZNF765, MBIP, etc.

Section 17: Undrugged Target Profiles

TOP 30 Undrugged Opportunities (ranked by potential)

RankGeneGWAS p-valueVariantProtein FunctionFamilyStructureExpressionDrugged Interactors?Why UndruggedPotential
1CHST3GWAS locus (10q)RegulatoryCarbohydrate sulfotransferaseEnzymeAlphaFoldBroadNoNovel target, unexploredHIGH
2ACSS37e-8RegulatoryAcyl-CoA synthetaseEnzymeAlphaFoldMitochondrialNoMetabolic, unexploredHIGH
3ENOSF1GWAS locus (18q)Near TYMSEnolase superfamily enzymeEnzymeAlphaFoldBroadNear TYMSAdjacent to known targetHIGH
4TRMO1e-17 (FOXE1-TRMO)RegulatorytRNA methyltransferaseEnzymeAlphaFoldBroadNoNovel, SAM-bindingMODERATE
5MSRB31e-18RegulatoryMet sulfoxide reductaseEnzymeAlphaFoldBroadNoRedox enzymeMODERATE
6NRG12e-40RegulatoryEGF-like ligandLigandPDBUbiquitousERBB3/4 (drugged)Ligand, not receptorMODERATE
7FOXE11e-17RegulatoryForkhead box TFTFAlphaFold (low)Thyroid-specificWnt pathwayTF - hard to drugLOW
8TERT4e-17RegulatoryTelomerase RTRT enzymePDB (23)Cancer-reactivatedHSP90, AKT, BRAFComplex biologyMODERATE
9SMAD33e-9RegulatoryTGF-beta signaling TFSMAD TFPDB (12)UbiquitousTGFBR1, HDAC1TF - hard to drug directlyMODERATE
10POT1GenCCMendelianTelomere binding OB-foldOB-foldPDBBroadTERTPPI interfaceLOW
11STN11e-11RegulatoryCST telomere complexOB-foldAlphaFoldBroadTERT pathwayPPI interfaceLOW
12EPB41L4A1e-18RegulatoryFERM domain scaffoldScaffoldAlphaFoldUbiquitousNoScaffold proteinLOW
13PCNX24e-11RegulatoryPecanex homologUnknownAlphaFoldUbiquitousNoUnknown functionLOW
14DIRC31e-57RegulatorylncRNANon-codingN/ATissue-specificNoNon-coding RNALOW
15VAV37e-8 (PTC)RegulatoryRho GEFGEF (SH2/SH3/DH/PH)AlphaFoldBroadRhoAAllosteric potentialMODERATE

Section 18: Summary

GWAS LANDSCAPE

MetricValue
Total associations93
Unique GWAS studies~30
Unique genes~35
Coding vs non-coding variants0% coding / 100% non-coding

GENETIC EVIDENCE

MetricValue
Tier 1 (coding) genes0
Mendelian overlap genes4 (TG, TIMM44, POT1, RIN1)
HPO-linked genes24 (papillary thyroid carcinoma)
Dual GWAS + Mendelian1 (FOXE1)

DRUGGABILITY

MetricValue
Overall druggability rate40% have some drug/compound
Approved drugs (any disease)14%
In clinical trials11%
Opportunity gap (no development)63%

PYRAMID SUMMARY

LevelCount%
L1 Validated00%
L2 Repurposing514%
L3 Emerging411%
L4 Tool compounds411%
L5 Druggable undrugged514%
L6 Hard targets1749%

CLINICAL TRIAL ALIGNMENT

Only ~10% of trial drugs target GWAS genes - a major disconnect indicating the field is largely driven by somatic mutation biology (BRAF, RET, RAS) rather than germline GWAS signals.

TOP 10 REPURPOSING CANDIDATES

DrugGeneApproved Forp-valueScore
PemetrexedTYMSNSCLCGWAS locus9/10
CapecitabineTYMSCRC/breastGWAS locus9/10
DasatinibFYN/SLKCML5e-118/10
TipifarnibHRASHNSCCHPO gene8/10
SorafenibBRAF->TERTHCC (already in TC)Network8/10
GalunisertibTGFB2/TGFBR1Phase 24e-77/10
NeratinibERBB2 via NRG1Breast2e-407/10
LonafarnibHRASProgeriaHPO gene7/10
RaltitrexedTYMSCRCGWAS locus7/10
PonatinibFYNCML5e-117/10

TOP 10 UNDRUGGED OPPORTUNITIES

Genep-valueFamilyStructurePotential
CHST3GWAS locusSulfotransferaseAlphaFoldHIGH
ACSS37e-8CoA synthetaseAlphaFoldHIGH
ENOSF1GWAS locusEnolase enzymeAlphaFoldHIGH
TRMO1e-17tRNA methyltransferaseAlphaFoldMODERATE
MSRB31e-18Met sulfoxide reductaseAlphaFoldMODERATE
VAV37e-8Rho GEF (SH2/DH/PH)AlphaFoldMODERATE
TERT4e-17Reverse transcriptasePDB (23)MODERATE
SMAD33e-9SMAD TFPDB (12)MODERATE
NRG12e-40EGF-like ligandPDBMODERATE
STN11e-11OB-fold telomereAlphaFoldLOW

TOP 10 INDIRECT OPPORTUNITIES

Undrugged GeneDrugged InteractorDrug
TERTBRAFDabrafenib, Vemurafenib
TERTHSP90Tanespimycin
TERTAKT1Everolimus (mTOR)
TERTEGFRErlotinib, Cetuximab
SMAD3TGFBR1Galunisertib
SMAD3HDAC1Romidepsin, Vorinostat
NRG1ERBB3/4Neratinib, Lapatinib
FOXE1Wnt pathwayPathway inhibitors
POT1TERT complexImetelstat
NRASMEK1/2Trametinib, Selumetinib

KEY INSIGHTS

  1. Regulatory variant dominance: 100% of thyroid cancer GWAS variants are non-coding, suggesting disease risk is driven by gene expression dysregulation rather than protein dysfunction. The 9q22 FOXE1/PTCSC2 locus is the strongest signal in the genome (p=6e-129).

  2. GWAS-clinical disconnect: Current thyroid cancer drugs target somatic driver mutations (BRAF V600E, RET fusions, RAS mutations) rather than germline GWAS risk loci. Only ~10% of trial drugs target GWAS genes, the lowest rate among common cancers.

  3. Telomere biology hub: TERT (GWAS), POT1 (Mendelian), and STN1 (GWAS) all converge on telomere maintenance, representing a coherent biological pathway for thyroid cancer susceptibility. TERT interacts with nearly every major oncogenic pathway node (BRAF, AKT, MYC, TP53).

  4. SWI/SNF chromatin remodeling complex: Seven HPO-linked genes (SMARCA4, SMARCB1, SMARCC2, SMARCD1, SMARCE1, ARID1A, ARID1B, ARID2, DPF2) encode SWI/SNF complex subunits, highlighting epigenetic regulation as a core mechanism in familial thyroid cancer.

  5. Untapped enzyme targets: CHST3, ACSS3, ENOSF1, and TRMO represent completely undrugged enzymes at GWAS loci with druggable folds - the highest-value discovery targets.

  6. NRG1/ERBB pathway: NRG1 (p=2e-40) signals through ERBB3/ERBB4, connecting germline risk to a highly druggable receptor tyrosine kinase pathway already targeted in breast cancer but underexplored in thyroid cancer.

  7. Comparison with other cancers: Thyroid cancer’s 63% opportunity gap (undrugged GWAS genes) is higher than breast cancer (~45%) but similar to prostate cancer (~60%), reflecting the relative under-investment in thyroid cancer drug development compared to disease prevalence.