Literature DB >> 31160347

Discovery of a Pathogenic Variant rs139379666 (p. P2974L) in ATM for Breast Cancer Risk in Chinese Populations.

Xingyi Guo1, Weiqiang Lin2,3, Mengqiu Bai4,3, Hongzhi Li5, Wanqing Wen6, Chenjie Zeng6, Zhishan Chen6, Jing He6, Jianghua Chen3, Qiuyin Cai6, Jirong Long6, Wei-Hua Jia7, Xiao-Ou Shu6, Wei Zheng6.   

Abstract

BACKGROUND: Pathogenic variants in susceptibility genes lead to increased breast cancer risk.
METHODS: To identify coding variants associated with breast cancer risk, we conducted whole-exome sequencing in genomic DNA samples from 831 breast cancer cases and 839 controls of Chinese women. We also genotyped samples, including 4,580 breast cancer cases and 6,695 controls, using whole exome-chip arrays. We further performed a replication study using a Multi-Ethnic Global Array in samples from 1,793 breast cases and 2,059 controls. A single marker analysis was performed using the Fisher exact test.
RESULTS: We identified a missense variant (rs139379666, P2974L; AF = 0.09% for breast cancer cases, but none for controls) in the ATM gene for breast cancer risk using combing data from 7,204 breast cancer cases and 9,593 controls (P = 1.7 × 10-5). To investigate the functionality of the variant, we first silenced ATM and then transfected the overexpression vectors of ATM containing the risk alleles (TT) or reference alleles (CC) of the variant in U2OS and breast cancer SK-BR3 cells, respectively. Our results showed that compared with the reference allele, the risk allele significantly disrupts the activity of homologous recombination-mediated double-strand breaks repair efficiency. Our results further showed that the risk allele may play a defected regulation role in the activity of the ATM structure.
CONCLUSIONS: Our findings identified a novel mutation that disrupts ATM function, conferring to breast cancer risk. IMPACT: Functional investigation of genetic association findings is necessary to discover a pathogenic variant for breast cancer risk. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31160347     DOI: 10.1158/1055-9965.EPI-18-1294

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  2 in total

1.  Discovery of structural deletions in breast cancer predisposition genes using whole genome sequencing data from > 2000 women of African-ancestry.

Authors:  Zhishan Chen; Xingyi Guo; Jirong Long; Jie Ping; Bingshan Li; Mary Kay Fadden; Thomas U Ahearn; Daniel O Stram; Xiao-Ou Shu; Guochong Jia; Jonine Figueroa; Julie R Palmer; Maureen Sanderson; Christopher A Haiman; William J Blot; Montserrat Garcia-Closas; Qiuyin Cai; Wei Zheng
Journal:  Hum Genet       Date:  2021-08-27       Impact factor: 5.881

2.  Evaluation of pathogenetic mutations in breast cancer predisposition genes in population-based studies conducted among Chinese women.

Authors:  Chenjie Zeng; Xingyi Guo; Wanqing Wen; Jiajun Shi; Jirong Long; Qiuyin Cai; Xiao-Ou Shu; Yongbin Xiang; Wei Zheng
Journal:  Breast Cancer Res Treat       Date:  2020-04-21       Impact factor: 4.872

  2 in total

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