A custom genotyping array reveals population-level heterogeneity for the genetic risks of PrCa

Updated: Jan 31

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


Authors: 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. AisuodionoeShadrach, 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


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, while 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.


Full article link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335354/pdf/nihms-1594370.pdf

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