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A custom genotyping array reveals population-level heterogeneity for the genetic risks of prostate cancer and other cancers in Africa

  • Maxine Harlemon
  • , Olabode Ajayi
  • , Paidamoyo Kachambwa
  • , Michelle S. Kim
  • , Corinne N. Simonti
  • , Melanie H. Quiver
  • , Desiree C. Petersen
  • , Anuradha Mittal
  • , Pedro W. Fernandez
  • , Ann W. Hsing
  • , Shakuntala Baichoo
  • , Ilir Agalliu
  • , Mohamed Jalloh
  • , Serigne M. Gueye
  • , Nana Yaa F. Snyper
  • , Ben Adusei
  • , James E. Mensah
  • , Afua O.D. Abrahams
  • , Akindele O. Adebiyi
  • , Akin T. Orunmuyi
  • Oseremen I. Aisuodionoe-Shadrach, Maxwell M. Nwegbu, Maureen Joffe, Wenlong C. Chen, Hayley Irusen, Alfred I. Neugut, Yuri Quintana, Moleboheng Seutloali, Mayowa B. Fadipe, Christopher Warren, Marcos H. Woehrmann, Peng Zhang, Chrissie M. Ongaco, Michelle Mawhinney, Jo McBride, Caroline V. Andrews, Marcia Adams, Elizabeth Pugh, Timothy R. Rebbeck, Lindsay N. Petersen, Joseph Lachance
  • Georgia Institute of Technology
  • Clark Atlanta University
  • Center for Proteomic and Genomic Research
  • Thermo Fisher Scientific, Inc.
  • Stellenbosch University
  • Stanford Cancer Institute
  • University of Mauritius
  • Albert Einstein College of Medicine of Yeshiva University
  • Hôpital Général de Grand Yoff
  • 37 Military Hospital
  • University of Ibadan
  • University of Abuja
  • University of the Witwatersrand, Johannesburg
  • University of the Witwatersrand
  • National Health Laboratory Service
  • International Center for AIDS Care and Treatment Programs-Columbia University
  • Harvard Medical School
  • Johns Hopkins University
  • Dana-Farber Cancer Institute
  • Harvard T.H. Chan School of Public Health

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Although prostate cancer is the leading cause of cancer mortality for African men, the vast majority of known disease associations have been detected in European study cohorts. Furthermore, most genome-wide association studies have used genotyping arrays that are hindered by SNP ascertainment bias. To overcome these disparities in genomic medicine, the Men of African Descent and Carcinoma of the Prostate (MADCaP) Network has developed a genotyping array that is optimized for African populations. The MADCaP Array contains more than 1.5 million markers and an imputation backbone that successfully tags over 94% of common genetic variants in African populations. This array also has a high density of markers in genomic regions associated with cancer susceptibility, including 8q24. We assessed the effectiveness of the MADCaP Array by genotyping 399 prostate cancer cases and 403 controls from seven urban study sites in sub-Saharan Africa. Samples from Ghana and Nigeria clustered together, whereas samples from Senegal and South Africa yielded distinct ancestry clusters. Using the MADCaP array, we identified cancer-associated loci that have large allele frequency differences across African populations. Polygenic risk scores for prostate cancer were higher in Nigeria than in Senegal. In summary, individual and population-level differences in prostate cancer risk were revealed using a novel genotyping array.

Original languageEnglish
Pages (from-to)2956-2966
Number of pages11
JournalCancer Research
Volume80
Issue number13
DOIs
Publication statusPublished - 1 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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