Literature DB >> 34487234

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

Zhishan Chen1, Xingyi Guo1, Jirong Long1, Jie Ping1, Bingshan Li2, Mary Kay Fadden3, Thomas U Ahearn4, Daniel O Stram5, Xiao-Ou Shu1, Guochong Jia1, Jonine Figueroa6, Julie R Palmer7, Maureen Sanderson3, Christopher A Haiman5, William J Blot1, Montserrat Garcia-Closas4, Qiuyin Cai1, Wei Zheng8.   

Abstract

Single germline nucleotide pathogenic variants have been identified in 12 breast cancer predisposition genes, but structural deletions in these genes remain poorly characterized. We conducted in-depth whole genome sequencing (WGS) in genomic DNA samples obtained from 1340 invasive breast cancer cases and 675 controls of African ancestry. We identified 25 deletions in the intragenic regions of ten established breast cancer predisposition genes based on a consensus call from six state-of-the-art SV callers. Overall, no significant case-control difference was found in the frequency of these deletions. However, 1.0% of cases and 0.3% of controls carried any of the eight putative protein-truncating rare deletions located in BRCA1, BRCA2, CDH1, TP53, NF1, RAD51D, RAD51C and CHEK2, resulting in an odds ratio (OR) of 3.29 (95% CI 0.74-30.16). We also identified a low-frequency deletion in NF1 associated with breast cancer risk (OR 1.93, 95% CI 1.14-3.42). In addition, we detected 56 deletions, including six putative protein-truncating deletions, in suspected breast predisposition genes. This is the first large study to systematically search for structural deletions in breast cancer predisposition genes. Many of the deletions, particularly those resulting in protein truncations, are likely to be pathogenic. Results from this study, if confirmed in future large-scale studies, could have significant implications for genetic testing for this common cancer.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Year:  2021        PMID: 34487234      PMCID: PMC9109261          DOI: 10.1007/s00439-021-02342-8

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   5.881


  32 in total

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

Authors:  Xingyi Guo; Weiqiang Lin; Mengqiu Bai; Hongzhi Li; Wanqing Wen; Chenjie Zeng; Zhishan Chen; Jing He; Jianghua Chen; Qiuyin Cai; Jirong Long; Wei-Hua Jia; Xiao-Ou Shu; Wei Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-06-03       Impact factor: 4.254

2.  Lifetime cancer risks in individuals with germline PTEN mutations.

Authors:  Min-Han Tan; Jessica L Mester; Joanne Ngeow; Lisa A Rybicki; Mohammed S Orloff; Charis Eng
Journal:  Clin Cancer Res       Date:  2012-01-15       Impact factor: 12.531

3.  Genome-wide association study identifies a new breast cancer susceptibility locus at 6q25.1.

Authors:  Wei Zheng; Jirong Long; Yu-Tang Gao; Chun Li; Ying Zheng; Yong-Bin Xiang; Wanqing Wen; Shawn Levy; Sandra L Deming; Jonathan L Haines; Kai Gu; Alecia Malin Fair; Qiuyin Cai; Wei Lu; Xiao-Ou Shu
Journal:  Nat Genet       Date:  2009-02-15       Impact factor: 38.330

4.  Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications.

Authors:  Xiaoyu Chen; Ole Schulz-Trieglaff; Richard Shaw; Bret Barnes; Felix Schlesinger; Morten Källberg; Anthony J Cox; Semyon Kruglyak; Christopher T Saunders
Journal:  Bioinformatics       Date:  2015-12-08       Impact factor: 6.937

5.  Discovery and genotyping of genome structural polymorphism by sequencing on a population scale.

Authors:  Robert E Handsaker; Joshua M Korn; James Nemesh; Steven A McCarroll
Journal:  Nat Genet       Date:  2011-02-13       Impact factor: 38.330

6.  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

7.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

8.  Discovery of rare coding variants in OGDHL and BRCA2 in relation to breast cancer risk in Chinese women.

Authors:  Xingyi Guo; Jirong Long; Zhishan Chen; Xiao-Ou Shu; Yong-Bing Xiang; Wanqing Wen; Chenjie Zeng; Yu-Tang Gao; Qiuyin Cai; Wei Zheng
Journal:  Int J Cancer       Date:  2019-12-27       Impact factor: 7.396

9.  Reproductive factors and risk of breast cancer by tumor subtypes among Ghanaian women: A population-based case-control study.

Authors:  Jonine D Figueroa; Brittny C Davis Lynn; Lawrence Edusei; Nicholas Titiloye; Ernest Adjei; Joe-Nat Clegg-Lamptey; Joel Yarney; Beatrice Wiafe-Addai; Baffour Awuah; Maire A Duggan; Seth Wiafe; Kofi Nyarko; Francis Aitpillah; Daniel Ansong; Stephen M Hewitt; Thomas Ahearn; Montserrat Garcia-Closas; Louise A Brinton
Journal:  Int J Cancer       Date:  2020-03-13       Impact factor: 7.316

10.  LUMPY: a probabilistic framework for structural variant discovery.

Authors:  Ryan M Layer; Colby Chiang; Aaron R Quinlan; Ira M Hall
Journal:  Genome Biol       Date:  2014-06-26       Impact factor: 13.583

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  1 in total

1.  Detection of Structural Variations and Fusion Genes in Breast Cancer Samples Using Third-Generation Sequencing.

Authors:  Taobo Hu; Jingjing Li; Mengping Long; Jinbo Wu; Zhen Zhang; Fei Xie; Jin Zhao; Houpu Yang; Qianqian Song; Sheng Lian; Jiandong Shi; Xueyu Guo; Daoli Yuan; Dandan Lang; Guoliang Yu; Baosheng Liang; Xiaohua Zhou; Toyotaka Ishibashi; Xiaodan Fan; Weichuan Yu; Depeng Wang; Yang Wang; I-Feng Peng; Shu Wang
Journal:  Front Cell Dev Biol       Date:  2022-04-13
  1 in total

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