TY - JOUR
T1 - A custom genotyping array reveals population-level heterogeneity for the genetic risks of prostate cancer and other cancers in Africa
AU - Harlemon, Maxine
AU - Ajayi, Olabode
AU - Kachambwa, Paidamoyo
AU - Kim, Michelle S.
AU - Simonti, Corinne N.
AU - Quiver, Melanie H.
AU - Petersen, Desiree C.
AU - Mittal, Anuradha
AU - Fernandez, Pedro W.
AU - Hsing, Ann W.
AU - Baichoo, Shakuntala
AU - Agalliu, Ilir
AU - Jalloh, Mohamed
AU - Gueye, Serigne M.
AU - Snyper, Nana Yaa F.
AU - Adusei, Ben
AU - Mensah, James E.
AU - Abrahams, Afua O.D.
AU - Adebiyi, Akindele O.
AU - Orunmuyi, Akin T.
AU - Aisuodionoe-Shadrach, Oseremen I.
AU - Nwegbu, Maxwell M.
AU - Joffe, Maureen
AU - Chen, Wenlong C.
AU - Irusen, Hayley
AU - Neugut, Alfred I.
AU - Quintana, Yuri
AU - Seutloali, Moleboheng
AU - Fadipe, Mayowa B.
AU - Warren, Christopher
AU - Woehrmann, Marcos H.
AU - Zhang, Peng
AU - Ongaco, Chrissie M.
AU - Mawhinney, Michelle
AU - McBride, Jo
AU - Andrews, Caroline V.
AU - Adams, Marcia
AU - Pugh, Elizabeth
AU - Rebbeck, Timothy R.
AU - Petersen, Lindsay N.
AU - Lachance, Joseph
N1 - Funding Information:
This work is a product of the MADCaP network (https://www.madcapnetwork. org/). This work was supported by a large multisite NIH/NCI grant (U01CA184374). Additional funding for this work includes startup funds from the School of Biological Sciences at Georgia Institute of Technology to J. Lachance and a seed grant from the Integrated Cancer Research Center at Georgia Institute of Technology.
Funding Information:
This work is a product of the MADCaP network (https://www.madcapnetwork.org/). This work was supported by a large multisite NIH/NCI grant (U01CA184374). Additional funding for this work includes startup funds from the School of Biological Sciences at Georgia Institute of Technology to J. Lachance and a seed grant from the Integrated Cancer Research Center at Georgia Institute of Technology.
Publisher Copyright:
© 2020 American Association for Cancer Research.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
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U2 - 10.1158/0008-5472.CAN-19-2165
DO - 10.1158/0008-5472.CAN-19-2165
M3 - Article
C2 - 32393663
AN - SCOPUS:85087532979
SN - 0008-5472
VL - 80
SP - 2956
EP - 2966
JO - Cancer research
JF - Cancer research
IS - 13
ER -