A combined analysis of genome-wide association studies in breast cancer

被引:0
作者
Jingmei Li
Keith Humphreys
Tuomas Heikkinen
Kristiina Aittomäki
Carl Blomqvist
Paul D. P. Pharoah
Alison M. Dunning
Shahana Ahmed
Maartje J. Hooning
John W. M. Martens
Ans M. W. van den Ouweland
Lars Alfredsson
Aarno Palotie
Leena Peltonen-Palotie
Astrid Irwanto
Hui Qi Low
Garrett H. K. Teoh
Anbupalam Thalamuthu
Douglas F. Easton
Heli Nevanlinna
Jianjun Liu
Kamila Czene
Per Hall
机构
[1] Karolinska Institutet,Department of Medical Epidemiology and Biostatistics
[2] Genome Institute of Singapore,Human Genetics
[3] Helsinki University Central Hospital,Department of Obstetrics and Gynecology
[4] Helsinki University Central Hospital,Department of Clinical Genetics
[5] Helsinki University Central Hospital,Department of Oncology
[6] University of Cambridge,Department of Public Health and Primary Care
[7] University of Cambridge,Department of Oncology
[8] Erasmus University Medical Center,Department of Medical Oncology, Rotterdam Family Cancer Clinic
[9] Erasmus University Medical Center,Department of Clinical Genetics, Rotterdam Family Cancer Clinic
[10] Karolinska Institutet,Institute of Environmental Medicine
[11] FIMM,Institute for Molecular Medicine Finland
[12] University of Helsinki,Public Health Genomics Unit
[13] National Institute for Health and Welfare,Program in Medical and Population Genetics
[14] Wellcome Trust Sanger Institute,undefined
[15] Broad Institute of Harvard and Massachusetts Institute of Technology,undefined
来源
Breast Cancer Research and Treatment | 2011年 / 126卷
关键词
Breast neoplasms; Genetic association studies; Genetic epidemiology; Genetic susceptibility; Genetic predisposition to disease/genetics; Case–control studies;
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摘要
In an attempt to identify common disease susceptibility alleles for breast cancer, we performed a combined analysis of three genome-wide association studies (GWAS), involving 2,702 women of European ancestry with invasive breast cancer and 5,726 controls. Tests for association were performed for 285,984 SNPs. Evidence for association with SNPs in genes in specific pathways was assessed using a permutation-based approach. We confirmed associations with loci reported by previous GWAS on 1p11.2, 2q35, 3p, 5p12, 8q24, 10q23.13, 14q24.1 and 16q. Six SNPs with the strongest signals of association with breast cancer, and which have not been reported previously, were typed in two further studies; however, none of the associations could be confirmed. Suggestive evidence for an excess of associations was found for genes involved in the regulation of actin cytoskeleton, glycan degradation, alpha-linolenic acid metabolism, circadian rhythm, hematopoietic cell lineage and drug metabolism. Androgen and oestrogen metabolism, a pathway previously found to be associated with the development of postmenopausal breast cancer, was marginally significant (P = 0.051 [unadjusted]). These results suggest that further analysis of SNPs in these pathways may identify associations that would be difficult to detect through agnostic single SNP analyses. More effort focused in these aspects of oncology can potentially open up promising avenues for the understanding of breast cancer and its prevention.
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页码:717 / 727
页数:10
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