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全基因组关联研究确定了与南非黑人女性乳腺癌相关的常见变异。

Genome-wide association study identifies common variants associated with breast cancer in South African Black women.

作者信息

Hayat Mahtaab, Chen Wenlong C, Babb de Villiers Chantal, Hyuck Lee Sang, Curtis Charles, Newton Rob, Waterboer Tim, Sitas Freddy, Bradshaw Debbie, Muchengeti Mazvita, Singh Elvira, Lewis Cathryn M, Ramsay Michele, Mathew Christopher G, Brandenburg Jean-Tristan

机构信息

Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

School of Molecular and Cell Biology, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Nat Commun. 2025 Apr 14;16(1):3542. doi: 10.1038/s41467-025-58789-0.

Abstract

Genome-wide association studies (GWAS) have characterized the contribution of common variants to breast cancer (BC) risk in populations of European ancestry, however GWAS have not been reported in resident African populations. This GWAS included 2485 resident African BC cases and 1101 population matched controls. Two risk loci were identified, located between UNC13C and RAB27A on chromosome 15 (rs7181788, p = 1.01 × 10) and in USP22 on chromosome 17 (rs899342, p = 4.62 × 10). Several genome-wide significant signals were also detected in hormone receptor subtype analysis. The novel loci did not replicate in BC GWAS data from populations of West Africa ancestry suggesting genetic heterogeneity in different African populations, but further validation of these findings is needed. A European ancestry derived polygenic risk model for BC explained only 0.79% of variance in our data. Larger studies in pan-African populations are needed to further define the genetic contribution to BC risk.

摘要

全基因组关联研究(GWAS)已明确了常见变异对欧洲血统人群患乳腺癌(BC)风险的影响,然而尚未有针对非洲常住人群的GWAS报告。这项GWAS纳入了2485例非洲常住BC病例和1101例匹配的人群对照。确定了两个风险位点,一个位于15号染色体上UNC13C和RAB27A之间(rs7181788,p = 1.01×10),另一个位于17号染色体上的USP22中(rs899342,p = 4.62×10)。在激素受体亚型分析中也检测到了几个全基因组显著信号。这些新位点在西非血统人群的BC GWAS数据中未得到重复,这表明不同非洲人群存在遗传异质性,但这些发现仍需进一步验证。一个源自欧洲血统的BC多基因风险模型仅解释了我们数据中0.79%的变异。需要在泛非人群中开展更大规模的研究,以进一步明确基因对BC风险的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd78/11997036/cec2be223048/41467_2025_58789_Fig1_HTML.jpg

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