TY - JOUR
T1 - 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
AU - Teerlink, Craig C.
AU - Thibodeau, Stephen N.
AU - McDonnell, Shannon K.
AU - Schaid, Daniel J.
AU - Rinckleb, Antje
AU - Maier, Christiane
AU - Vogel, Walther
AU - Cancel-Tassin, Geraldine
AU - Egrot, Christophe
AU - Cussenot, Olivier
AU - Foulkes, William D.
AU - Giles, Graham G.
AU - Hopper, John L.
AU - Severi, Gianluca
AU - Eeles, Ros
AU - Easton, Douglas
AU - Kote-Jarai, Zsofia
AU - Guy, Michelle
AU - Cooney, Kathleen A.
AU - Ray, Anna M.
AU - Zuhlke, Kimberly A.
AU - Lange, Ethan M.
AU - Fitzgerald, Liesel M.
AU - Stanford, Janet L.
AU - Ostrander, Elaine A.
AU - Wiley, Kathleen E.
AU - Isaacs, Sarah D.
AU - Walsh, Patrick C.
AU - Isaacs, William B.
AU - Wahlfors, Tiina
AU - Tammela, Teuvo
AU - Schleutker, Johanna
AU - Wiklund, Fredrik
AU - Grönberg, Henrik
AU - Emanuelsson, Monica
AU - Carpten, John
AU - Bailey-Wilson, Joan
AU - Whittemore, Alice S.
AU - Oakley-Girvan, Ingrid
AU - Hsieh, Chih Lin
AU - Catalona, William J.
AU - Zheng, S. Lilly
AU - Jin, Guangfu
AU - Lu, Lingyi
AU - Xu, Jianfeng
AU - Camp, Nicola J.
AU - Cannon-Albright, Lisa A.
N1 - Funding Information:
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.
PY - 2014/3
Y1 - 2014/3
N2 - 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.
AB - 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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U2 - 10.1007/s00439-013-1384-2
DO - 10.1007/s00439-013-1384-2
M3 - Article
C2 - 24162621
AN - SCOPUS:84894435613
SN - 0340-6717
VL - 133
SP - 347
EP - 356
JO - Human genetics
JF - Human genetics
IS - 3
ER -