Genome-wide association study identifies novel breast cancer susceptibility loci

被引:0
|
作者
Douglas F. Easton
Karen A. Pooley
Alison M. Dunning
Paul D. P. Pharoah
Deborah Thompson
Dennis G. Ballinger
Jeffery P. Struewing
Jonathan Morrison
Helen Field
Robert Luben
Nicholas Wareham
Shahana Ahmed
Catherine S. Healey
Richard Bowman
Kerstin B. Meyer
Christopher A. Haiman
Laurence K. Kolonel
Brian E. Henderson
Loic Le Marchand
Paul Brennan
Suleeporn Sangrajrang
Valerie Gaborieau
Fabrice Odefrey
Chen-Yang Shen
Pei-Ei Wu
Hui-Chun Wang
Diana Eccles
D. Gareth Evans
Julian Peto
Olivia Fletcher
Nichola Johnson
Sheila Seal
Michael R. Stratton
Nazneen Rahman
Georgia Chenevix-Trench
Stig E. Bojesen
Børge G. Nordestgaard
Christen K. Axelsson
Montserrat Garcia-Closas
Louise Brinton
Stephen Chanock
Jolanta Lissowska
Beata Peplonska
Heli Nevanlinna
Rainer Fagerholm
Hannaleena Eerola
Daehee Kang
Keun-Young Yoo
Dong-Young Noh
Sei-Hyun Ahn
机构
[1] CR‐UK Genetic Epidemiology Unit,Department of Public Health and Primary Care and,
[2] University of Cambridge,Department of Oncology
[3] Cambridge CB1 8RN,Department of Public Health and Primary Care
[4] UK.,Department of Preventive Medicine
[5] Perlegen Sciences,Division of Cancer Epidemiology and Genetics
[6] Inc.,Departments of Obstetrics and Gynecology
[7] 2021 Stierlin Court,Department of Oncology
[8] Mountain View,Department of Medical Epidemiology and Biostatistics
[9] California 94043,Department of Gynecology and Obstetrics
[10] USA.,Departments of Human Genetics and Pathology
[11] Laboratory of Population Genetics,Department of Medical Oncology
[12] US National Cancer Institute,Division of Cancer Epidemiology and Genetics
[13] Bethesda,Department of Preventive and Social Medicine
[14] Maryland 20892,Department of Pathology
[15] USA.,Department of Oncology
[16] EPIC,Department of Haematology and Medical Oncology
[17] University of Cambridge,Departments of Translational and Medical Oncology
[18] Cambridge CB1 8RN,Department of Public Health and Community Medicine
[19] UK.,Department of Biochemistry
[20] MRC Dunn Clinical Nutrition Centre,Department of Clinical Genetics
[21] Cambridge CB2 0XY,Department of Pathology
[22] UK.,Molecular Department of Pathology
[23] Cancer Research UK Cambridge Research Institute,Department of Multicultural Health
[24] Cambridge CB2 0RE,Department of Haematology
[25] UK.,Department of Medical Oncology
[26] Keck School of Medicine,Department of Surgery
[27] University of Southern California,Department of Medical Genetics
[28] Los Angeles,Department of Medicine
[29] California 90033,Molecular Pathology Department
[30] USA.,Department of Psychological Medicine
[31] Epidemiology Program,Department of Psychological Medicine
[32] Cancer Research Center of Hawaii,Department of Oncology
[33] University of Hawaii,Department of Cytogenetics and Molecular Genetics
[34] Honolulu,Department of Obstetrics and Gynaecology
[35] Hawaii 96813,Department of Radiology
[36] USA.,Molecular Genetics of Cancer Division
[37] International Agency for Research on Cancer,Department of Medical Oncology
[38] 150 Cours Albert Thomas,undefined
[39] Lyon 69008,undefined
[40] France.,undefined
[41] National Cancer Institute,undefined
[42] Bangkok 10400,undefined
[43] Thailand.,undefined
[44] Institute of Biomedical Sciences,undefined
[45] Academia Sinica,undefined
[46] Taipei 11529,undefined
[47] Taiwan.,undefined
[48] Wessex Clinical Genetics Service,undefined
[49] Princess Anne Hospital,undefined
[50] Southampton SO16 5YA,undefined
来源
Nature | 2007年 / 447卷
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摘要
Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2 > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10-7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.
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页码:1087 / 1093
页数:6
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