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

Authors :
Ann W. Hsing
Michelle Mawhinney
Olabode Ajayi
Moleboheng Seutloali
Anuradha Mittal
Timothy R. Rebbeck
Serigne M. Gueye
Marcos H. Woehrmann
Mohamed Jalloh
Afua O. D Abrahams
Oseremen I. Aisuodionoe-Shadrach
Peng Zhang
Akintunde T. Orunmuyi
Pedro L. Fernández
Chrissie M. Ongaco
Wenlong C. Chen
Corinne N. Simonti
Joseph Lachance
Maxwell M. Nwegbu
Jo McBride
Ben Adusei
Marcia Adams
Melanie H. Quiver
Maureen Joffe
Paidamoyo Kachambwa
Caroline Andrews
Shakuntala Baichoo
Nana Yaa Snyper
Maxine Harlemon
Michelle S Kim
Mayowa B Fadipe
Lindsay Petersen
Alfred I. Neugut
Ilir Agalliu
Elizabeth W. Pugh
Yuri Quintana
Hayley Irusen
James E. Mensah
Desiree C. Petersen
Akindele Olupelumi Adebiyi
Christopher Warren
Source :
Cancer Res
Publication Year :
2019
Publisher :
Cold Spring Harbor Laboratory, 2019.

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.

Details

Database :
OpenAIRE
Journal :
Cancer Res
Accession number :
edsair.doi.dedup.....38bfc52767e43b0ac50c5ce31150ed8f
Full Text :
https://doi.org/10.1101/702910