Nature Communications (Jul 2020)

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

  • Yan Dora Zhang,
  • Amber N. Hurson,
  • Haoyu Zhang,
  • Parichoy Pal Choudhury,
  • Douglas F. Easton,
  • Roger L. Milne,
  • Jacques Simard,
  • Per Hall,
  • Kyriaki Michailidou,
  • Joe Dennis,
  • Marjanka K. Schmidt,
  • Jenny Chang-Claude,
  • Puya Gharahkhani,
  • David Whiteman,
  • Peter T. Campbell,
  • Michael Hoffmeister,
  • Mark Jenkins,
  • Ulrike Peters,
  • Li Hsu,
  • Stephen B. Gruber,
  • Graham Casey,
  • Stephanie L. Schmit,
  • Tracy A. O’Mara,
  • Amanda B. Spurdle,
  • Deborah J. Thompson,
  • Ian Tomlinson,
  • Immaculata De Vivo,
  • Maria Teresa Landi,
  • Matthew H. Law,
  • Mark M. Iles,
  • Florence Demenais,
  • Rajiv Kumar,
  • Stuart MacGregor,
  • D. Timothy Bishop,
  • Sarah V. Ward,
  • Melissa L. Bondy,
  • Richard Houlston,
  • John K. Wiencke,
  • Beatrice Melin,
  • Jill Barnholtz-Sloan,
  • Ben Kinnersley,
  • Margaret R. Wrensch,
  • Christopher I. Amos,
  • Rayjean J. Hung,
  • Paul Brennan,
  • James McKay,
  • Neil E. Caporaso,
  • Sonja I. Berndt,
  • Brenda M. Birmann,
  • Nicola J. Camp,
  • Peter Kraft,
  • Nathaniel Rothman,
  • Susan L. Slager,
  • Andrew Berchuck,
  • Paul D. P. Pharoah,
  • Thomas A. Sellers,
  • Simon A. Gayther,
  • Celeste L. Pearce,
  • Ellen L. Goode,
  • Joellen M. Schildkraut,
  • Kirsten B. Moysich,
  • Laufey T. Amundadottir,
  • Eric J. Jacobs,
  • Alison P. Klein,
  • Gloria M. Petersen,
  • Harvey A. Risch,
  • Rachel Z. Stolzenberg-Solomon,
  • Brian M. Wolpin,
  • Donghui Li,
  • Rosalind A. Eeles,
  • Christopher A. Haiman,
  • Zsofia Kote-Jarai,
  • Fredrick R. Schumacher,
  • Ali Amin Al Olama,
  • Mark P. Purdue,
  • Ghislaine Scelo,
  • Marlene D. Dalgaard,
  • Mark H. Greene,
  • Tom Grotmol,
  • Peter A. Kanetsky,
  • Katherine A. McGlynn,
  • Katherine L. Nathanson,
  • Clare Turnbull,
  • Fredrik Wiklund,
  • Breast Cancer Association Consortium (BCAC),
  • Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON),
  • Colon Cancer Family Registry (CCFR),
  • Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT),
  • Endometrial Cancer Association Consortium (ECAC),
  • Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO),
  • Melanoma Genetics Consortium (GenoMEL),
  • Glioma International Case-Control Study (GICC),
  • International Lung Cancer Consortium (ILCCO),
  • Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium,
  • International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph),
  • Ovarian Cancer Association Consortium (OCAC),
  • Oral Cancer GWAS,
  • Pancreatic Cancer Case-Control Consortium (PanC4),
  • Pancreatic Cancer Cohort Consortium (PanScan),
  • Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL),
  • Renal Cancer GWAS,
  • Testicular Cancer Consortium (TECAC),
  • Stephen J. Chanock,
  • Nilanjan Chatterjee,
  • Montserrat Garcia-Closas

DOI
https://doi.org/10.1038/s41467-020-16483-3
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

Read online

In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and show the utility of polygenic risk scores may vary depending on cancer type.