主页 文献库文献详情
PMID: 27233470 已发表 · ppublish 英语

Functional Analysis of Missense Variants in the Putative Breast Cancer Susceptibility Gene XRCC2.

Human mutation ·第 37 卷 ·第 9 期 ·0000-00-00

Hilbers Florentine S, Luijsterburg Martijn S, Wiegant Wouter W, Meijers Caro M, Völker-Albert Moritz, Boonen Rick A, van Asperen Christi J, Devilee Peter, van Attikum Haico

摘要

XRCC2 genetic variants have been associated with breast cancer susceptibility. However, association studies have been complicated because XRCC2 variants are extremely rare and consist mainly of amino acid substitutions whose grouping is sensitive to misclassification by the predictive algorithms. We therefore functionally characterized variants in XRCC2 by testing their ability to restore XRCC2-DNA repair deficient phenotypes using a cDNA-based complementation approach. While the protein-truncating variants p.Leu117fs, p.Arg215*, and p.Cys217* were unable to restore XRCC2 deficiency, 19 out of 23 missense variants showed no or just a minor (<25%) reduction in XRCC2 function. The remaining four (p.Cys120Tyr, p.Arg91Trp, p.Leu133Pro, and p.Ile95Leu) had a moderate effect. Overall, measured functional effects correlated poorly with those predicted by in silico analysis. After regrouping variants from published case-control studies based on the functional effect found in this study and reanalysis of the prevalence data, there was no longer evidence for an association with breast cancer. This suggests that if breast cancer susceptibility alleles of XRCC2 exist, they are likely restricted to protein-truncating variants and a minority of missense changes. Our study emphasizes the use of functional analyses of missense variants to support variant classification in association studies.

关键词
XRCC2 breast cancer cancer susceptibility functional analysis homologous recombination
文献信息
期刊
Human mutation
期刊简称
Hum Mutat
发表日期
0000-00-00
收录日期
2016-08-12
更新日期
2016-08-12
语言
英语
国家/地区
United States
NLM ID
9215429
分析服务
分析服务

联系地址

山东省济南市章丘区文博路2号

齐鲁师范学院 genelibs生信实验室

山东省济南市高新区舜华路750号

大学科技园北区F座4单元2楼

电话: 0531-88819269

微信公众号

关注微信订阅号,实时查看信息,关注医学生物学动态。


商务邮箱

E-mail: product@genelibs.com