TY - JOUR
T1 - PALB2, CHEK2 and ATM rare variants and cancer risk
T2 - Data from COGS
AU - kConFab Investigators66
AU - Australian Ovarian Cancer Study Group65,66
AU - Southey, Melissa C.
AU - Goldgar, David E.
AU - Winqvist, Robert
AU - Pylkäs, Katri
AU - Couch, Fergus
AU - Tischkowitz, Marc
AU - Foulkes, William D.
AU - Dennis, Joe
AU - Michailidou, Kyriaki
AU - van Rensburg, Elizabeth J.
AU - Heikkinen, Tuomas
AU - Nevanlinna, Heli
AU - Hopper, John L.
AU - Dörk, Thilo
AU - Claes, Kathleen B.M.
AU - Reis-Filho, Jorge
AU - Teo, Zhi Ling
AU - Radice, Paolo
AU - Catucci, Irene
AU - Peterlongo, Paolo
AU - Tsimiklis, Helen
AU - Odefrey, Fabrice A.
AU - Dowty, James G.
AU - Schmidt, Marjanka K.
AU - Broeks, Annegien
AU - Hogervorst, Frans B.
AU - Verhoef, Senno
AU - Carpenter, Jane
AU - Clarke, Christine
AU - Scott, Rodney J.
AU - Fasching, Peter A.
AU - Haeberle, Lothar
AU - Ekici, Arif B.
AU - Beckmann, Matthias W.
AU - Peto, Julian
AU - dos-Santos-Silva, Isabel
AU - Fletcher, Olivia
AU - Johnson, Nichola
AU - Bolla, Manjeet K.
AU - Sawyer, Elinor J.
AU - Tomlinson, Ian
AU - Kerin, Michael J.
AU - Miller, Nicola
AU - Marme, Federik
AU - Burwinkel, Barbara
AU - Yang, Rongxi
AU - Guénel, Pascal
AU - Truong, Thérèse
AU - Menegaux, Florence
AU - Torres, Diana
N1 - Funding Information:
The authors thank the following for their contributions to this study: Qin Wang (BCAC), Lesley McGuffog, and Ken Offit (CIMBA), Andrew Lee, and Ed Dicks and the staff of the Centre for Genetic Epidemiology Laboratory, staff of the CNIO genotyping unit, Sylvie LaBoissière and Frederic Robidoux and the staff of the McGill University and Génome Québec Innovation Centre, staff of the Copenhagen DNA laboratory, and Sharon A Windebank, Christopher A Hilker, Jeffrey Meyer and the staff of Mayo Clinic Genotyping Core Facility. The authors also thank UM1 CA167552 (Willett) Cancer Epidemiology Cohort in Male Health Professionals, P01 CA87969 (Stampfer) Dietary and Hormonal Determinants of Cancer in Women, UM1 CA186107 (Stampfer) Long term multidisciplinary study of cancer in women: The Nurses' Health Study, R01CA141298 (Stampfer) Growth Factors and Lethal Prostate Cancer Signature, NCI: K07-CA80668 DAMD17-02-1-0669 NIH/National Center for Research Resources/General Clinical Research Center grant MO1-RR000056, R01CA095023, P50-CA159981, NCI CCSG award P30-CA008748 (Memorial Sloan Kettering Cancer Center), Department of Defense (W81XWH-07-0449), National Health and Medical Research Council of Australia APP1029974 and APP1061177, Deutsche Krebshilfe (Maier), Wellcome Trust Centre for Human Genetics from the Wellcome Trust (090532/Z/09/Z). The authors thank the National Institute of Health Research for their support to The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK. Funding for the iCOGS infrastructure came from: the European Community's Seventh Framework Programme under grant agreement no 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C5047/A8384, C5047/A15007, C5047/A10692, CRUK C8197/A10123), the National Institutes of Health (CA128978) and Post-Cancer GWAS initiative (No. 1 U19 CA 148537-the GAME-ON initiative), the Department of Defense (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, Komen Foundation for the Cure, the Breast Cancer Research Foundation, the Ovarian Cancer Research Fund and Susan G Komen (WF). Further information about the financial report received is outlined in the supplementary file online.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T > G and c.3113G > A, CHEK2 c.349A > G, c.538C > T, c.715G > A, c.1036C > T, c.1312G > T, and c.1343T > G and ATM c.7271T > G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10-5), PALB2 c.3113G > A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10-8) and ATM c.7271T > G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A > G OR 2.26 (95% CI 1.29 to 3.95), c.1036C > T OR 5.06 (95% CI 1.09 to 23.5) and c.538C > T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T > G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G > T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
AB - Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T > G and c.3113G > A, CHEK2 c.349A > G, c.538C > T, c.715G > A, c.1036C > T, c.1312G > T, and c.1343T > G and ATM c.7271T > G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10-5), PALB2 c.3113G > A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10-8) and ATM c.7271T > G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A > G OR 2.26 (95% CI 1.29 to 3.95), c.1036C > T OR 5.06 (95% CI 1.09 to 23.5) and c.538C > T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T > G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G > T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
UR - http://www.scopus.com/inward/record.url?scp=84986246968&partnerID=8YFLogxK
U2 - 10.1136/jmedgenet-2016-103839
DO - 10.1136/jmedgenet-2016-103839
M3 - Article
C2 - 27595995
AN - SCOPUS:84986246968
SN - 0022-2593
VL - 53
SP - 800
EP - 811
JO - Journal of Medical Genetics
JF - Journal of Medical Genetics
IS - 12
ER -