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

Zhang, YD (author)
Hurson, AN (author)
Zhang, HY (author)
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Choudhury, PP (author)
Easton, DF (author)
Milne, RL (author)
Simard, J (author)
Hall, P (author)
Karolinska Institutet
Michailidou, K (author)
Dennis, J (author)
Schmidt, MK (author)
Chang-Claude, J (author)
Gharahkhani, P (author)
Whiteman, D (author)
Campbell, PT (author)
Hoffmeister, M (author)
Jenkins, M (author)
Peters, U (author)
Hsu, L (author)
Gruber, SB (author)
Casey, G (author)
Schmit, SL (author)
O'Mara, TA (author)
Spurdle, AB (author)
Thompson, DJ (author)
Tomlinson, I (author)
De Vivo, I (author)
Landi, MT (author)
Law, MH (author)
Iles, MM (author)
Demenais, F (author)
Kumar, R (author)
MacGregor, S (author)
Bishop, DT (author)
Ward, SV (author)
Bondy, ML (author)
Houlston, R (author)
Wiencke, JK (author)
Melin, Beatrice S. (author)
Umeå universitet,Onkologi,Glioma International Case-Control Study (GICC)
Barnholtz-Sloan, J (author)
Kinnersley, B (author)
Wrensch, MR (author)
Amos, CI (author)
Hung, RJ (author)
Brennan, P (author)
McKay, J (author)
Caporaso, NE (author)
Berndt, SI (author)
Birmann, BM (author)
Camp, NJ (author)
Kraft, P (author)
Rothman, N (author)
Slager, SL (author)
Berchuck, A (author)
Pharoah, PDP (author)
Sellers, TA (author)
Gayther, SA (author)
Pearce, CL (author)
Goode, EL (author)
Schildkraut, JM (author)
Moysich, KB (author)
Amundadottir, LT (author)
Jacobs, EJ (author)
Klein, AP (author)
Petersen, GM (author)
Risch, HA (author)
Stolzenberg-Solomon, RZ (author)
Wolpin, BM (author)
Li, DH (author)
Eeles, RA (author)
Haiman, CA (author)
Kote-Jarai, Z (author)
Schumacher, FR (author)
Al Olama, AA (author)
Purdue, MP (author)
Scelo, G (author)
Dalgaard, MD (author)
Greene, MH (author)
Grotmol, T (author)
Kanetsky, PA (author)
McGlynn, KA (author)
Nathanson, KL (author)
Turnbull, C (author)
Wiklund, F (author)
Karolinska Institutet
Chanock, SJ (author)
Chatterjee, N (author)
Garcia-Closas, M (author)
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 (creator_code:org_t)
2020-07-03
2020
English.
In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1, s. 3353-
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medical Genetics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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