Evidence map›Paper›PMID 42098873›Full record

ArticleGenome medicine2026

African ancestry and risk variants associated with triple-negative breast cancer susceptibility in African American women.

Guochong Jia, Lili Liu, Jie Ping, Peter N Fiorica, Xingyi Guo, Ran Tao, Bingshan Li, Jian Gu, Esther M John, Olufunmilayo I Olopade and 14 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Guochong JiaDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Lili LiuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Jie PingDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Peter N FioricaGenetics, Genomics & Bioinformatics Program, SUNY University at Buffalo, Buffalo, NY, USA.
Xingyi GuoDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Ran TaoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Bingshan LiDepartment of Molecular Physiology & Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA.
Jian GuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Esther M JohnDepartments of Epidemiology & Population Health and of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Olufunmilayo I OlopadeCenter for Clinical Cancer Genetics and Global Health, Department of Medicine, The University of Chicago, Chicago, IL, USA.
Michael F PressDepartment of Pathology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA.
Abenaa M BrewsterDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Andrew F OlshanDepartment of Epidemiology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Gary ZirpoliSlone Epidemiology Center, Boston University, Boston, MA, USA.
Ebonee N ButlerDepartment of Epidemiology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Maosheng HuangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Dezheng HuoDepartment of Public Health Sciences, The University of Chicago, Chicago, IL, USA.
Julie R PalmerSlone Epidemiology Center, Boston University, Boston, MA, USA.
Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, CA, USA.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, USA.
Melissa A TroesterDepartment of Epidemiology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA. wei.zheng@vanderbilt.edu.

Funding

Breast Cancer genetic study in African-ancestry populationsR01CA202981 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Wei Zheng · 2016 to 2026
$14.1M
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genesR01CA235553 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LONG, JIRONG, ZHENG, WEI · 2019 to 2024
$3.3M
NCI NIH HHS R01 CA235553NIH HHS R01 CA202981
6 · The paper itself

Abstract

backgroundCompared to European American women, African American women are more likely to be diagnosed with triple-negative breast cancer (TNBC). This difference may be partially due to genetic factors. This study aims to investigate associations of African ancestry and risk variants with TNBC among African American women.

methodsWe used data from 2,335 TNBC cases, 8,159 estrogen receptor (ER)-positive cases, and 9,814 controls included in the African-ancestry Breast Cancer Genetics (AABCG) Consortium. The proportion of African ancestry (%AFR) and local ancestry were estimated using samples from the 1000 Genomes Project as reference. Logistic regressions were performed for case-control (TNBC vs. control) and case-case (TNBC vs. ER-positive) comparisons, adjusted for age, study, genotype principal components 2-5, body mass index, and reproductive factors. Local ancestry-aware association analyses were conducted in 12 TNBC risk loci to identify ancestry-specific risk variants.

resultsIn case-control analyses, no statistically significant association was found between %AFR and TNBC risk after adjustment for potential confounders. However, TNBC cases had a significantly higher mean % AFR (mean = 0.811, standard deviation, SD = 0.104) compared to ER-positive cases (mean = 0.798, SD = 0.110, P < 0.001). Females with %AFR of ≥ 95% had 1.62 times higher odds (95% confidence interval, CI: 1.16-2.25) of having TNBC rather than ER-positive breast cancer, compared to those with %AFR of 55.0-64.9%. Local ancestry-aware association analyses identified seven subtype-informative variants in or near MDM4, RP11-19E11.1, TERT, MRPL36, TCF7L2, C11orf65, and ANKLE1. All of them were significantly associated with TNBC as compared with ER-positive cases, and six of them were also associated with TNBC risk in case-control analyses. Large allelic odds ratios of 1.25 or higher were found in association with TNBC risk or subtype classification. The risk allele frequency for five of them is substantially higher in haplotypes of African ancestry than those of European ancestry.

conclusionsThese findings support a significant role of African-ancestry specific genetic factors in determining breast cancer subtypes and highlight the need for future research to uncover possible pathways driving TNBC susceptibility.

Indexed as

Black or African AmericanGenetic Predisposition to DiseaseTriple Negative Breast NeoplasmsCase-Control StudiesFemaleHumansMiddle AgedPolymorphism, Single NucleotideRisk FactorsAfrican AmericanAfrican ancestry proportionRisk variantsTriple-negative breast cancer

Identifiers

PMID42098873
PMCPMC13321428

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