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Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24
BACKGROUND: We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model perf...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669040/ https://www.ncbi.nlm.nih.gov/pubmed/34127801 http://dx.doi.org/10.1038/s41391-021-00403-7 |
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author | Karunamuni, Roshan A. Huynh-Le, Minh-Phuong Fan, Chun C. Thompson, Wesley Lui, Asona Martinez, Maria Elena Rose, Brent S. Mahal, Brandon Eeles, Rosalind A. Kote-Jarai, Zsofia Muir, Kenneth Lophatananon, Artitaya Tangen, Catherine M. Goodman, Phyllis J. Thompson, Ian M. Blot, William J. Zheng, Wei Kibel, Adam S. Drake, Bettina F. Cussenot, Olivier Cancel-Tassin, Géraldine Menegaux, Florence Truong, Thérèse Park, Jong Y. Lin, Hui-Yi Taylor, Jack A. Bensen, Jeannette T. Mohler, James L. Fontham, Elizabeth T.H. Multigner, Luc Blanchet, Pascal Brureau, Laurent Romana, Marc Leach, Robin J. John, Esther M. Fowke, Jay H. Bush, William S. Aldrich, Melinda C. Crawford, Dana C. Cullen, Jennifer Petrovics, Gyorgy Parent, Marie-Élise Hu, Jennifer J. Sanderson, Maureen Mills, Ian G. Andreassen, Ole A. Dale, Anders M. Seibert, Tyler M. |
author_facet | Karunamuni, Roshan A. Huynh-Le, Minh-Phuong Fan, Chun C. Thompson, Wesley Lui, Asona Martinez, Maria Elena Rose, Brent S. Mahal, Brandon Eeles, Rosalind A. Kote-Jarai, Zsofia Muir, Kenneth Lophatananon, Artitaya Tangen, Catherine M. Goodman, Phyllis J. Thompson, Ian M. Blot, William J. Zheng, Wei Kibel, Adam S. Drake, Bettina F. Cussenot, Olivier Cancel-Tassin, Géraldine Menegaux, Florence Truong, Thérèse Park, Jong Y. Lin, Hui-Yi Taylor, Jack A. Bensen, Jeannette T. Mohler, James L. Fontham, Elizabeth T.H. Multigner, Luc Blanchet, Pascal Brureau, Laurent Romana, Marc Leach, Robin J. John, Esther M. Fowke, Jay H. Bush, William S. Aldrich, Melinda C. Crawford, Dana C. Cullen, Jennifer Petrovics, Gyorgy Parent, Marie-Élise Hu, Jennifer J. Sanderson, Maureen Mills, Ian G. Andreassen, Ole A. Dale, Anders M. Seibert, Tyler M. |
author_sort | Karunamuni, Roshan A. |
collection | PubMed |
description | BACKGROUND: We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. MATERIALS AND METHODS: Genotypic data were obtained from PRACTICAL consortium for 6,253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. RESULTS: CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our dataset with 1000 Genomes, we identified significant associations between continental and calibration groupings. CONCLUSION: We identified PCs within 8q24 that were strongly associated with performance of PHS46+African. Further research to improve clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry |
format | Online Article Text |
id | pubmed-8669040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-86690402022-06-12 Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 Karunamuni, Roshan A. Huynh-Le, Minh-Phuong Fan, Chun C. Thompson, Wesley Lui, Asona Martinez, Maria Elena Rose, Brent S. Mahal, Brandon Eeles, Rosalind A. Kote-Jarai, Zsofia Muir, Kenneth Lophatananon, Artitaya Tangen, Catherine M. Goodman, Phyllis J. Thompson, Ian M. Blot, William J. Zheng, Wei Kibel, Adam S. Drake, Bettina F. Cussenot, Olivier Cancel-Tassin, Géraldine Menegaux, Florence Truong, Thérèse Park, Jong Y. Lin, Hui-Yi Taylor, Jack A. Bensen, Jeannette T. Mohler, James L. Fontham, Elizabeth T.H. Multigner, Luc Blanchet, Pascal Brureau, Laurent Romana, Marc Leach, Robin J. John, Esther M. Fowke, Jay H. Bush, William S. Aldrich, Melinda C. Crawford, Dana C. Cullen, Jennifer Petrovics, Gyorgy Parent, Marie-Élise Hu, Jennifer J. Sanderson, Maureen Mills, Ian G. Andreassen, Ole A. Dale, Anders M. Seibert, Tyler M. Prostate Cancer Prostatic Dis Article BACKGROUND: We previously developed an African-ancestry-specific polygenic hazard score (PHS46+African) that substantially improved prostate cancer risk stratification in men with African ancestry. The model consists of 46 SNPs identified in Europeans and 3 SNPs from 8q24 shown to improve model performance in Africans. Herein, we used principal component (PC) analysis to uncover subpopulations of men with African ancestry for whom the utility of PHS46+African may differ. MATERIALS AND METHODS: Genotypic data were obtained from PRACTICAL consortium for 6,253 men with African genetic ancestry. Genetic variation in a window spanning 3 African-specific 8q24 SNPs was estimated using 93 PCs. A Cox proportional hazards framework was used to identify the pair of PCs most strongly associated with performance of PHS46+African. A calibration factor (CF) was formulated using Cox coefficients to quantify the extent to which the performance of PHS46+African varies with PC. RESULTS: CF of PHS46+African was strongly associated with the first and twentieth PCs. Predicted CF ranged from 0.41 to 2.94, suggesting that PHS46+African may be up to 7 times more beneficial to some African men than others. The explained relative risk for PHS46+African varied from 3.6% to 9.9% for individuals with low and high CF values, respectively. By cross-referencing our dataset with 1000 Genomes, we identified significant associations between continental and calibration groupings. CONCLUSION: We identified PCs within 8q24 that were strongly associated with performance of PHS46+African. Further research to improve clinical utility of polygenic risk scores (or models) is needed to improve health outcomes for men of African ancestry 2022-02 2021-06-14 /pmc/articles/PMC8669040/ /pubmed/34127801 http://dx.doi.org/10.1038/s41391-021-00403-7 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Karunamuni, Roshan A. Huynh-Le, Minh-Phuong Fan, Chun C. Thompson, Wesley Lui, Asona Martinez, Maria Elena Rose, Brent S. Mahal, Brandon Eeles, Rosalind A. Kote-Jarai, Zsofia Muir, Kenneth Lophatananon, Artitaya Tangen, Catherine M. Goodman, Phyllis J. Thompson, Ian M. Blot, William J. Zheng, Wei Kibel, Adam S. Drake, Bettina F. Cussenot, Olivier Cancel-Tassin, Géraldine Menegaux, Florence Truong, Thérèse Park, Jong Y. Lin, Hui-Yi Taylor, Jack A. Bensen, Jeannette T. Mohler, James L. Fontham, Elizabeth T.H. Multigner, Luc Blanchet, Pascal Brureau, Laurent Romana, Marc Leach, Robin J. John, Esther M. Fowke, Jay H. Bush, William S. Aldrich, Melinda C. Crawford, Dana C. Cullen, Jennifer Petrovics, Gyorgy Parent, Marie-Élise Hu, Jennifer J. Sanderson, Maureen Mills, Ian G. Andreassen, Ole A. Dale, Anders M. Seibert, Tyler M. Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title | Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title_full | Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title_fullStr | Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title_full_unstemmed | Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title_short | Performance of African-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
title_sort | performance of african-ancestry-specific polygenic hazard score varies according to local ancestry in 8q24 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669040/ https://www.ncbi.nlm.nih.gov/pubmed/34127801 http://dx.doi.org/10.1038/s41391-021-00403-7 |
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