8 results on '"Moleboheng Seutloali"'
Number of results to display per page
Search Results
2. Table S1 from A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa
- Author
-
Joseph Lachance, Lindsay N. Petersen, Timothy R. Rebbeck, Elizabeth Pugh, Marcia Adams, Caroline V. Andrews, Jo McBride, Michelle Mawhinney, Chrissie M. Ongaco, Peng Zhang, Marcos H. Woehrmann, Christopher Warren, Mayowa B. Fadipe, Moleboheng Seutloali, Yuri Quintana, Alfred I. Neugut, Hayley Irusen, Wenlong C. Chen, Maureen Joffe, Maxwell M. Nwegbu, Oseremen I. Aisuodionoe-Shadrach, Akin T. Orunmuyi, Akindele O. Adebiyi, Afua O.D. Abrahams, James E. Mensah, Ben Adusei, Nana Yaa F. Snyper, Serigne M. Gueye, Mohamed Jalloh, Ilir Agalliu, Shakuntala Baichoo, Ann W. Hsing, Pedro W. Fernandez, Anuradha Mittal, Desiree C. Petersen, Melanie H. Quiver, Corinne N. Simonti, Michelle S. Kim, Paidamoyo Kachambwa, Olabode Ajayi, and Maxine Harlemon
- Abstract
Successfully called markers on the MADCaP Array. This tab-delimited file includes genomic positions, inclusion criteria, and overlap with other arrays.
- Published
- 2023
- Full Text
- View/download PDF
3. Data from A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa
- Author
-
Joseph Lachance, Lindsay N. Petersen, Timothy R. Rebbeck, Elizabeth Pugh, Marcia Adams, Caroline V. Andrews, Jo McBride, Michelle Mawhinney, Chrissie M. Ongaco, Peng Zhang, Marcos H. Woehrmann, Christopher Warren, Mayowa B. Fadipe, Moleboheng Seutloali, Yuri Quintana, Alfred I. Neugut, Hayley Irusen, Wenlong C. Chen, Maureen Joffe, Maxwell M. Nwegbu, Oseremen I. Aisuodionoe-Shadrach, Akin T. Orunmuyi, Akindele O. Adebiyi, Afua O.D. Abrahams, James E. Mensah, Ben Adusei, Nana Yaa F. Snyper, Serigne M. Gueye, Mohamed Jalloh, Ilir Agalliu, Shakuntala Baichoo, Ann W. Hsing, Pedro W. Fernandez, Anuradha Mittal, Desiree C. Petersen, Melanie H. Quiver, Corinne N. Simonti, Michelle S. Kim, Paidamoyo Kachambwa, Olabode Ajayi, and Maxine Harlemon
- 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.
- Published
- 2023
- Full Text
- View/download PDF
4. Table S2 from A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa
- Author
-
Joseph Lachance, Lindsay N. Petersen, Timothy R. Rebbeck, Elizabeth Pugh, Marcia Adams, Caroline V. Andrews, Jo McBride, Michelle Mawhinney, Chrissie M. Ongaco, Peng Zhang, Marcos H. Woehrmann, Christopher Warren, Mayowa B. Fadipe, Moleboheng Seutloali, Yuri Quintana, Alfred I. Neugut, Hayley Irusen, Wenlong C. Chen, Maureen Joffe, Maxwell M. Nwegbu, Oseremen I. Aisuodionoe-Shadrach, Akin T. Orunmuyi, Akindele O. Adebiyi, Afua O.D. Abrahams, James E. Mensah, Ben Adusei, Nana Yaa F. Snyper, Serigne M. Gueye, Mohamed Jalloh, Ilir Agalliu, Shakuntala Baichoo, Ann W. Hsing, Pedro W. Fernandez, Anuradha Mittal, Desiree C. Petersen, Melanie H. Quiver, Corinne N. Simonti, Michelle S. Kim, Paidamoyo Kachambwa, Olabode Ajayi, and Maxine Harlemon
- Abstract
This .xlsx file lists Axiom genotyping solution QC thresholds. Genotyping metrics for both pegs of the MADCaP Array are listed here. This file also includes Benjamini-Hochberg adjusted p-values (FDR = 5%) for pairwise comparisons of derived allele frequencies, ancestry proportions of cases and controls, cumulative runs of homozygosity, and PRS distributions.
- Published
- 2023
- Full Text
- View/download PDF
5. Table S4 from A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa
- Author
-
Joseph Lachance, Lindsay N. Petersen, Timothy R. Rebbeck, Elizabeth Pugh, Marcia Adams, Caroline V. Andrews, Jo McBride, Michelle Mawhinney, Chrissie M. Ongaco, Peng Zhang, Marcos H. Woehrmann, Christopher Warren, Mayowa B. Fadipe, Moleboheng Seutloali, Yuri Quintana, Alfred I. Neugut, Hayley Irusen, Wenlong C. Chen, Maureen Joffe, Maxwell M. Nwegbu, Oseremen I. Aisuodionoe-Shadrach, Akin T. Orunmuyi, Akindele O. Adebiyi, Afua O.D. Abrahams, James E. Mensah, Ben Adusei, Nana Yaa F. Snyper, Serigne M. Gueye, Mohamed Jalloh, Ilir Agalliu, Shakuntala Baichoo, Ann W. Hsing, Pedro W. Fernandez, Anuradha Mittal, Desiree C. Petersen, Melanie H. Quiver, Corinne N. Simonti, Michelle S. Kim, Paidamoyo Kachambwa, Olabode Ajayi, and Maxine Harlemon
- Abstract
Comprehensive list of cancer-associated loci with African allele frequencies and PBS scores. This dataset includes a total of 2,477 unique markers yielding 3,557 disease or trait associations
- Published
- 2023
- Full Text
- View/download PDF
6. Table S3 from A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa
- Author
-
Joseph Lachance, Lindsay N. Petersen, Timothy R. Rebbeck, Elizabeth Pugh, Marcia Adams, Caroline V. Andrews, Jo McBride, Michelle Mawhinney, Chrissie M. Ongaco, Peng Zhang, Marcos H. Woehrmann, Christopher Warren, Mayowa B. Fadipe, Moleboheng Seutloali, Yuri Quintana, Alfred I. Neugut, Hayley Irusen, Wenlong C. Chen, Maureen Joffe, Maxwell M. Nwegbu, Oseremen I. Aisuodionoe-Shadrach, Akin T. Orunmuyi, Akindele O. Adebiyi, Afua O.D. Abrahams, James E. Mensah, Ben Adusei, Nana Yaa F. Snyper, Serigne M. Gueye, Mohamed Jalloh, Ilir Agalliu, Shakuntala Baichoo, Ann W. Hsing, Pedro W. Fernandez, Anuradha Mittal, Desiree C. Petersen, Melanie H. Quiver, Corinne N. Simonti, Michelle S. Kim, Paidamoyo Kachambwa, Olabode Ajayi, and Maxine Harlemon
- Abstract
Markers used in PRS calculations. This list includes all markers from the Schumacher et al. 2018 CaP PRS (10) as well as proxy markers that are found on the MADCaP Array. Chromosome and positions (build hg38) listed here are for MADCaP markers used in PRS calculations. Allele frequencies and PBS scores are also included for the 139 CaP markers used in MADCaP PRS calculations. Numbers of markers on each genotyping array within 50kb of CaP-associated loci from Schumacher et al. 2018 are also included here.
- Published
- 2023
- Full Text
- View/download PDF
7. Development, Evaluation, and Implementation of a Pan-African Cancer Research Network: Men of African Descent and Carcinoma of the Prostate
- Author
-
Michael B. Cook, Alex Orfanos, Marcia Adams, Olayiwola B. Shittu, Lindsay Petersen, Olufemi Ogunbiyi, Amy Hayward, Maxwell M. Nwegbu, Jo McBride, Moleboheng Seutloali, Paidamoyo Kachambwa, Andrew A. Adjei, Hayley Irusen, Evelyn Tay, Peter Oluwole Olabode, Elvira Singh, Julian Okine, Reinhard Hiller, Ruth Lederman, Serigne Magueye Gueye, Yao Tettey, Cherif Dial, Anna Julienne Ndiaye, Michael C. Asuzu, Edward P. Gelmann, Vicky Okyne, Olalekan Hafees Ajibola, David W. Lounsbury, Brian Fortier, Ezenwa Onyemata, Jane Romm, Halimatou Diop, Mohamed Jalloh, Alfred I. Neugut, Audrey Pentz, Yuri Quintana, Yakubu Garba Ambuwa, Elizabeth W. Pugh, Ilir Agalliu, R. K. Gyasi, Isabella Rockson, Ben Adusei, Frank Chinegwundoh, Akindele Olupelumi Adebiyi, E D Yeboah, Olushola Jeremiah Ajamu, Pedro L. Fernández, Thierno Amadou Diallo, James E. Mensah, Tameka Shelford, Caroline Andrews, Ndeye Coumba Toure-Kane, Maureen Joffe, Olufemi Popoola, Richard B. Biritwum, Christine N. Duffy, Thomas E. Rohan, Mamokhosana Mokhosi, Timothy R. Rebbeck, Oseremen I. Aisuodionoe-Shadrach, Abubakar Mustapha Jamda, Sunny Mante, Desiree C. Petersen, Joseph Lachance, Emeka Odiaka, Aubrey Shoko, Ann W. Hsing, Cassandra Soo, Chrissie M. Ongaco, Ifeoluwa Makinde, Alash’le Abimiku, Nana Yaa Snyper, Olukemi K. Amodu, Judith S. Jacobson, Amina Sow Sall, Papa Moussa Sene Kane, Olabode Ajayi, Mathew Yamoah Kyei, and Wenlong C. Chen
- Subjects
0301 basic medicine ,Oncology ,Male ,Cancer Research ,medicine.medical_specialty ,Genotype ,African descent ,Black People ,lcsh:RC254-282 ,03 medical and health sciences ,South Africa ,0302 clinical medicine ,Prostate ,Internal medicine ,Carcinoma ,Medicine ,Humans ,Original Report ,Extramural ,business.industry ,Pan african ,Cancer ,Prostatic Neoplasms ,Genomics ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,3. Good health ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Baltimore ,business - Abstract
Purpose Cancer of the prostate (CaP) is the leading cancer among men in sub-Saharan Africa (SSA). A substantial proportion of these men with CaP are diagnosed at late (usually incurable) stages, yet little is known about the etiology of CaP in SSA. Methods We established the Men of African Descent and Carcinoma of the Prostate Network, which includes seven SSA centers partnering with five US centers to study the genetics and epidemiology of CaP in SSA. We developed common data elements and instruments, regulatory infrastructure, and biosample collection, processing, and shipping protocols. We tested this infrastructure by collecting epidemiologic, medical record, and genomic data from a total of 311 patients with CaP and 218 matched controls recruited at the seven SSA centers. We extracted genomic DNA from whole blood, buffy coat, or buccal swabs from 265 participants and shipped it to the Center for Inherited Disease Research (Baltimore, MD) and the Centre for Proteomics and Genomics Research (Cape Town, South Africa), where genotypes were generated using the UK Biobank Axiom Array. Results We used common instruments for data collection and entered data into the shared database. Double-entered data from pilot participants showed a 95% to 98% concordance rate, suggesting that data can be collected, entered, and stored with a high degree of accuracy. Genotypes were obtained from 95% of tested DNA samples (100% from blood-derived DNA samples) with high concordance across laboratories. Conclusion We provide approaches that can produce high-quality epidemiologic and genomic data in multicenter studies of cancer in SSA.
- Published
- 2018
- Full Text
- View/download PDF
8. A custom genotyping array reveals population-level heterogeneity for the genetic risks of prostate cancer and other cancers in Africa
- Author
-
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, and Christopher Warren
- Subjects
0301 basic medicine ,Male ,Cancer Research ,Black People ,Disease ,Biology ,Polymorphism, Single Nucleotide ,Genome ,Article ,Cohort Studies ,South Africa ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Prostate ,Risk Factors ,Neoplasms ,medicine ,Humans ,SNP ,Genetic Predisposition to Disease ,Genotyping ,Allele frequency ,030304 developmental biology ,Genetic association ,Genetics ,0303 health sciences ,Prostatic Neoplasms ,medicine.disease ,3. Good health ,030104 developmental biology ,medicine.anatomical_structure ,Genetics, Population ,Oncology ,Genetic Loci ,Case-Control Studies ,030220 oncology & carcinogenesis ,Imputation (genetics) ,Genome-Wide Association Study - 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.
- Published
- 2019
- Full Text
- View/download PDF
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.