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利用非裔女性参与者的基因组和转录组数据,鉴定潜在的乳腺癌易感基因。

Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.

机构信息

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.

Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.

出版信息

Nat Commun. 2024 May 2;15(1):3718. doi: 10.1038/s41467-024-47650-5.

DOI:10.1038/s41467-024-47650-5
PMID:38697998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11065893/
Abstract

African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls. At Bonferroni-corrected P < 0.05, we identified six genes associated with breast cancer risk, including four genes not previously reported (CTD-3080P12.3, EN1, LINC01956 and NUP210L). Most of these genes showed a stronger association with risk of estrogen-receptor (ER) negative or triple-negative than ER-positive breast cancer. We also replicated the associations with 29 genes reported in previous TWAS at P < 0.05 (one-sided), providing further support for an association of these genes with breast cancer risk. Our study sheds new light on the genetic basis of breast cancer and highlights the value of conducting research in AA populations.

摘要

非裔参与者在遗传学研究中代表性不足。在这里,我们对 150 名非裔女性参与者的正常乳腺组织进行了全转录组关联研究(TWAS),以鉴定潜在的乳腺癌易感基因。我们构建了遗传模型,使用基因组和转录组数据来预测基因表达水平、外显子连接和 3'UTR 可变多聚腺苷酸化,然后使用这些模型使用来自 18034 例病例和 22104 例对照的基因组数据进行关联分析。在 Bonferroni 校正的 P<0.05 水平下,我们确定了六个与乳腺癌风险相关的基因,包括四个以前未报道的基因(CTD-3080P12.3、EN1、LINC01956 和 NUP210L)。这些基因中的大多数与雌激素受体(ER)阴性或三阴性乳腺癌的风险相关性更强,而不是 ER 阳性乳腺癌。我们还在 P<0.05(单侧)水平上复制了之前 TWAS 中报告的 29 个基因的关联,进一步支持这些基因与乳腺癌风险的关联。我们的研究为乳腺癌的遗传基础提供了新的线索,并强调了在非裔人群中开展研究的价值。

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Nat Genet. 2024 May;56(5):819-826. doi: 10.1038/s41588-024-01736-4. Epub 2024 May 13.
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Genome- and transcriptome-wide association studies of 386,000 Asian and European-ancestry women provide new insights into breast cancer genetics.全基因组和转录组关联研究 38.6 万名亚洲和欧洲裔女性,为乳腺癌遗传学提供了新的见解。
Am J Hum Genet. 2022 Dec 1;109(12):2185-2195. doi: 10.1016/j.ajhg.2022.10.011. Epub 2022 Nov 9.
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The Emergence of the Racial Disparity in U.S. Breast-Cancer Mortality.美国乳腺癌死亡率种族差异的出现。
N Engl J Med. 2022 Jun 23;386(25):2349-2352. doi: 10.1056/NEJMp2200244. Epub 2022 Jun 18.
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Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer.基因水平的种系对黑人和白人乳腺癌患者复发评分的临床风险的贡献。
Cancer Res. 2022 Jan 1;82(1):25-35. doi: 10.1158/0008-5472.CAN-21-1207. Epub 2021 Oct 28.
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3'aQTL-atlas: an atlas of 3'UTR alternative polyadenylation quantitative trait loci across human normal tissues.3'aQTL-atlas:人类正常组织中 3'UTR 可变多聚腺苷酸化数量性状位点图谱。
Nucleic Acids Res. 2022 Jan 7;50(D1):D39-D45. doi: 10.1093/nar/gkab740.
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