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

Author

Listed:
  • 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
    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
    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
    Stony Brook University)

  • 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)

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

Suggested Citation

  • 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 & Esth, 2024. "Using genome and transcriptome data from African-ancestry female participants to identify putative breast cancer susceptibility genes," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47650-5
    DOI: 10.1038/s41467-024-47650-5
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    References listed on IDEAS

    as
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    3. Guimin Gao & Brandon L Pierce & Olufunmilayo I Olopade & Hae Kyung Im & Dezheng Huo, 2017. "Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer," PLOS Genetics, Public Library of Science, vol. 13(9), pages 1-17, September.
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