ArticleNature communications2024
Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Article
- Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biology.Nature communications · 2026Article
- Transcriptome predictors of second breast events in ductal carcinoma in situ: a case‒control study including Black and White women.Breast cancer research : BCR · 2026Article
- Cross-ancestry proteome-wide Mendelian randomization prioritizes 12 plasma protein candidates for breast cancer risk.medRxiv : the preprint server for health sciences · 2026Article
- Identification of susceptibility loci using a novel murine model for triple-negative breast cancer.G3 (Bethesda, Md.) · 2026Article
- Transcriptome analysis reveals the potential role of neural factor EN1 for long-terms survival in estrogen receptor-independent breast cancer.Molecular therapy. Oncology · 2025Article
- Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes.Nature communications · 2024Article
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Authors and funding
43 authors.
Funding
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.
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