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Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease

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Abstract

Previous GWAS studies have reported significant associations between various common SNPs and prostate cancer risk using cases unselected for family history. How these variants influence risk in familial prostate cancer is not well studied. Here, we analyzed 25 previously reported SNPs across 14 loci from prior prostate cancer GWAS. The International Consortium for Prostate Cancer Genetics (ICPCG) previously validated some of these using a family-based association method (FBAT). However, this approach suffered reduced power due to the conditional statistics implemented in FBAT. Here, we use a case–control design with an empirical analysis strategy to analyze the ICPCG resource for association between these 25 SNPs and familial prostate cancer risk. Fourteen sites contributed 12,506 samples (9,560 prostate cancer cases, 3,368 with aggressive disease, and 2,946 controls from 2,283 pedigrees). We performed association analysis with Genie software which accounts for relationships. We analyzed all familial prostate cancer cases and the subset of aggressive cases. For the familial prostate cancer phenotype, 20 of the 25 SNPs were at least nominally associated with prostate cancer and 16 remained significant after multiple testing correction (p ≤ 1E −3) occurring on chromosomal bands 6q25, 7p15, 8q24, 10q11, 11q13, 17q12, 17q24, and Xp11. For aggressive disease, 16 of the SNPs had at least nominal evidence and 8 were statistically significant including 2p15. The results indicate that the majority of common, low-risk alleles identified in GWAS studies for all prostate cancer also contribute risk for familial prostate cancer, and that some may contribute risk to aggressive disease.

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Acknowledgments

Partial support for L.A.C.A. and for all data sets with in the Utah Population Database (UPDB) was provided by Huntsman Cancer Institute, University of Utah and the Huntsman Cancer Institute’s Cancer Center Support grant, P30 CA42014 from National Cancer Institute. Research was supported by the Utah Cancer Registry, which is funded by Contract No. HHSN261201000026C from the National Cancer Institute’s SEER Program with additional support from the Utah State Department of Health and the University of Utah. A subcontract from Johns Hopkins University with funds provided by grant R01 CA89600 from the NIH National Cancer Institute (to L.A. Cannon Albright). The International Consortium for Prostate Cancer Genetics has provided access to genotyping for this study (U01CA089600). RE is supported by Cancer Research UK and Prostate Action (now Prostate Cancer UK) and National Institute of Health Research support to the Biomedical Research Centre at The Institute of Cancer Research and Royal Marsden NHS Foundation Trust. Robert Stephenson generously donated funds for the data analysis aspects of this project.

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Correspondence to Craig C. Teerlink.

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Nicola Camp and Lisa Cannon-Albright contributed equally to the manuscript.

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Supplementary material 1 (DOC 43 kb)

439_2013_1384_MOESM2_ESM.pdf

Supplemental Fig. 1 Forrest plots showing odds ratios (dot) and 95 % confidence intervals (lines) for all sites (labeled Z (meta)), and each individual site for the analysis of all prostate cancer (PDF 45 kb)

439_2013_1384_MOESM3_ESM.pdf

Supplemental Fig. 2 Forrest plots showing odds ratios (dot) and 95 % confidence intervals (lines) for all sites (labeled Z (meta)), and each individual site for the analysis of aggressive prostate cancer (PDF 47 kb)

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Teerlink, C.C., Thibodeau, S.N., McDonnell, S.K. et al. Association analysis of 9,560 prostate cancer cases from the International Consortium of Prostate Cancer Genetics confirms the role of reported prostate cancer associated SNPs for familial disease. Hum Genet 133, 347–356 (2014). https://doi.org/10.1007/s00439-013-1384-2

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