Nature CommunicationsGenomicsPeer-reviewed journal article
Shared heritability and functional enrichment across six solid cancers
Xia JiangiD, Hilary K. FinucaneiD, Fredrick R. SchumacheriD, Stephanie L. SchmitiD, Jonathan P. TyreriD, Younghun HaniD, Kyriaki MichailidouiD, Corina LesseuriD, Karoline B. KuchenbaeckeriD, Joe DennisiD, David V. ContiiD, Graham CaseyiD, Mia M. GaudetiD, Jeroen R. HuygheiD, Demetrius AlbanesiD, Melinda C. AldrichiD, Angeline S. AndrewiD, Irene Louise AndrulisiD, Hoda Anton‐CulveriD, Antonis C. AntoniouiD, Natalia Antonenkova, Susanne M. ArnoldiD, Kristan J. AronsoniD, Banu AruniD, Elisa Victoria BanderaiD, , Patricia A. GanziD
Abstract
Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg=0.57, p=4.6x10-8), breast and ovarian cancer (rg=0.24, p=7x10-5), breast and lung cancer (rg=0.18, p=1.5x10-6) and breast and colorectal cancer (rg=0.15, p=1.1x10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 110
- FWCI
- 8.73
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Pan-Cancer Study Detects Novel Genetic Risk Variants and Shared Genetic Basis in Two Large Cohorts
Sara R. Rashkin, Rebecca E. Graff, … John S. Witte·Nature CommunicationsPeer-reviewed·Sep 4, 2020
- Genetic and Cellular Architecture of Breast Cancer Risk Across Ancestries
James Li, Maria Zanti, … Haoyu Zhang·JNCI Cancer SpectrumPeer-reviewed·Sep 25, 2026
- Multivariate GWAS reveals shared genetic etiology and pleiotropic loci across carcinomas
Yu-feng Huang, Chenshen Huang·medRxiv·Sep 21, 2025
- Combining genome-wide studies of breast, prostate, ovarian and endometrial cancers maps cross-cancer susceptibility loci and identifies new genetic associations
Siddhartha Kar, Sara Lindström, … Rosalind A. Eeles·bioRxiv·Jun 16, 2020
- Gene-level heritability analysis explains the polygenic architecture of cancer
Viola Fanfani, Luca Citi, … Giovanni Stracquadanio·bioRxiv·Apr 5, 2019
- Cross-Cancer Evaluation of Polygenic Risk Scores for 17 Cancer Types in Two Large Cohorts
Rebecca E. Graff, Taylor B. Cavazos, … Lori C. Sakoda·Nature CommunicationsPeer-reviewed·Feb 12, 2021