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Rare, Evolutionarily Unlikely Missense Substitutions in ATM Confer Increased Risk of Breast Cancer

Authors :
Nathalie Forey
Sue Healey
Georgia Chenevix-Trench
Suleeporn Sangrajrang
John L. Hopper
Shu Chun Chuang
Corinna Feuchtinger
Sean V. Tavtigian
Melissa C. Southey
David C. Whiteman
Penelope M. Webb
Fabienne Lesueur
Mia Hashibe
Sandrine McKay-Chopin
Irene L. Andrulis
Peter J. Oefner
Barbara Herte
Anne Hartmann
Alun Thomas
Maxime Vallée
Florence Le Calvez-Kelm
Catherine Voegele
Lydie Gioia
Graham Byrnes
Janet Hall
Esther M. John
Davit Babikyan
Source :
The American Journal of Human Genetics. (4):427-446
Publisher :
The American Society of Human Genetics. Published by Elsevier Inc.

Abstract

The susceptibility gene for ataxia telangiectasia, ATM, is also an intermediate-risk breast-cancer-susceptibility gene. However, the spectrum and frequency distribution of ATM mutations that confer increased risk of breast cancer have been controversial. To assess the contribution of rare variants in this gene to risk of breast cancer, we pooled data from seven published ATM case-control mutation-screening studies, including a total of 1544 breast cancer cases and 1224 controls, with data from our own mutation screening of an additional 987 breast cancer cases and 1021 controls. Using an in silico missense-substitution analysis that provides a ranking of missense substitutions from evolutionarily most likely to least likely, we carried out analyses of protein-truncating variants, splice-junction variants, and rare missense variants. We found marginal evidence that the combination of ATM protein-truncating and splice-junction variants contribute to breast cancer risk. There was stronger evidence that a subset of rare, evolutionarily unlikely missense substitutions confer increased risk. On the basis of subset analyses, we hypothesize that rare missense substitutions falling in and around the FAT, kinase, and FATC domains of the protein may be disproportionately responsible for that risk and that a subset of these may confer higher risk than do protein-truncating variants. We conclude that a comparison between the graded distributions of missense substitutions in cases versus controls can complement analyses of truncating variants and help identify susceptibility genes and that this approach will aid interpretation of the data emerging from new sequencing technologies.

Details

Language :
English
ISSN :
00029297
Issue :
4
Database :
OpenAIRE
Journal :
The American Journal of Human Genetics
Accession number :
edsair.doi.dedup.....11cd63602e63061f5a850143466311f8
Full Text :
https://doi.org/10.1016/j.ajhg.2009.08.018