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

Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Ran Tao, Christine Ambrosone, Dezheng Huo, Stefan Ambs, Mollie E. Barnard, Yu Chen, Montserrat Garcia-Closas, Jian Gu, Jennifer J. Hu, Esther M. John, Christopher I. Li, Katherine Nathanson, Barbara Nemesure, Olufunmilayo I. Olopade, Tuya Pal, Michael F. Press, Maureen Sanderson, Dale P. Sandler, Toshio Yoshimatsu, Prisca O. Adejumo, Thomas Ahearn, Abenaa M. Brewster, Anselm J. M. Hennis, Timothy Makumbi, Paul Ndom, Katie M. O’Brien, Andrew F. Olshan, Mojisola M. Oluwasanu, Sonya Reid, Song Yao, Ebonee N. Butler, Maosheng Huang, Atara Ntekim, Bingshan Li, Melissa A. Troester, Julie R. Palmer, Christopher A. Haiman, Jirong Long and Wei Zheng ()
Additional contact information
Jie Ping: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
Guochong Jia: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
Qiuyin Cai: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
Xingyi Guo: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
Ran Tao: Vanderbilt University Medical Center
Christine Ambrosone: Elm & Carlton Streets
Dezheng Huo: The University of Chicago
Stefan Ambs: Center of Cancer Research, National Cancer Institute, National Institutes of Health
Mollie E. Barnard: Boston University
Yu Chen: NYU Grossman School of Medicine
Montserrat Garcia-Closas: National Cancer Institute
Jian Gu: The University of Texas MD Anderson Cancer Center
Jennifer J. Hu: University of Miami School of Medicine
Esther M. John: Stanford University School of Medicine
Christopher I. Li: Fred Hutchinson Cancer Center
Katherine Nathanson: University of Pennsylvania
Barbara Nemesure: Stony Brook University
Olufunmilayo I. Olopade: The University of Chicago
Tuya Pal: Vanderbilt University Medical Center
Michael F. Press: University of Southern California
Maureen Sanderson: Meharry Medical College
Dale P. Sandler: National Institutes of Health
Toshio Yoshimatsu: The University of Chicago
Prisca O. Adejumo: University of Ibadan
Thomas Ahearn: National Cancer Institute
Abenaa M. Brewster: The University of Texas MD Anderson Cancer Center
Anselm J. M. Hennis: University of the West Indies
Timothy Makumbi: Mulago Hospital
Paul Ndom: Yaounde General Hospital
Katie M. O’Brien: National Institutes of Health
Andrew F. Olshan: University of North Carolina at Chapel Hill
Mojisola M. Oluwasanu: University of Ibadan
Sonya Reid: Vanderbilt University Medical Center
Song Yao: Elm & Carlton Streets
Ebonee N. Butler: University of North Carolina at Chapel Hill
Maosheng Huang: The University of Texas MD Anderson Cancer Center
Atara Ntekim: University of Ibadan
Bingshan Li: Vanderbilt University
Melissa A. Troester: University of North Carolina at Chapel Hill
Julie R. Palmer: Boston University
Christopher A. Haiman: Keck School of Medicine of USC
Jirong Long: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center
Wei Zheng: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center

Nature Communications, 2024, vol. 15, issue 1, 1-8

Abstract: 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

Date: 2024
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DOI: 10.1038/s41467-024-47650-5

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