| Literature DB >> 32393663 |
Maxine Harlemon1,2, Olabode Ajayi3, Paidamoyo Kachambwa3, Michelle S Kim1, Corinne N Simonti1, Melanie H Quiver1, Desiree C Petersen3, Anuradha Mittal4, Pedro W Fernandez5, Ann W Hsing6, Shakuntala Baichoo7, Ilir Agalliu8, Mohamed Jalloh9, Serigne M Gueye9, Nana Yaa F Snyper10, Ben Adusei10, James E Mensah11, Afua O D Abrahams11, Akindele O Adebiyi12, Akin T Orunmuyi12, Oseremen I Aisuodionoe-Shadrach13, Maxwell M Nwegbu13, Maureen Joffe14,15, Wenlong C Chen16,17, Hayley Irusen5, Alfred I Neugut18, Yuri Quintana19, Moleboheng Seutloali3, Mayowa B Fadipe3, Christopher Warren4, Marcos H Woehrmann4, Peng Zhang20, Chrissie M Ongaco20, Michelle Mawhinney20, Jo McBride3, Caroline V Andrews21, Marcia Adams20, Elizabeth Pugh20, Timothy R Rebbeck21,22, Lindsay N Petersen3, Joseph Lachance23.
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. SIGNIFICANCE: This study presents an Africa-specific genotyping array, which enables investigators to identify novel disease associations and to fine-map genetic loci that are associated with prostate and other cancers. ©2020 American Association for Cancer Research.Entities:
Mesh:
Year: 2020 PMID: 32393663 PMCID: PMC7335354 DOI: 10.1158/0008-5472.CAN-19-2165
Source DB: PubMed Journal: Cancer Res ISSN: 0008-5472 Impact factor: 12.701