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Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry

IMPORTANCE: Multiple polygenic risk scores (PRSs) for breast cancer have been developed from large research consortia; however, their generalizability to diverse clinical settings is unknown. OBJECTIVE: To examine the performance of previously developed breast cancer PRSs in a clinical setting for w...

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Autores principales: Liu, Cong, Zeinomar, Nur, Chung, Wendy K., Kiryluk, Krzysztof, Gharavi, Ali G., Hripcsak, George, Crew, Katherine D., Shang, Ning, Khan, Atlas, Fasel, David, Manolio, Teri A., Jarvik, Gail P., Rowley, Robb, Justice, Ann E., Rahm, Alanna K., Fullerton, Stephanie M., Smoller, Jordan W., Larson, Eric B., Crane, Paul K., Dikilitas, Ozan, Wiesner, Georgia L., Bick, Alexander G., Terry, Mary Beth, Weng, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339934/
https://www.ncbi.nlm.nih.gov/pubmed/34347061
http://dx.doi.org/10.1001/jamanetworkopen.2021.19084
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author Liu, Cong
Zeinomar, Nur
Chung, Wendy K.
Kiryluk, Krzysztof
Gharavi, Ali G.
Hripcsak, George
Crew, Katherine D.
Shang, Ning
Khan, Atlas
Fasel, David
Manolio, Teri A.
Jarvik, Gail P.
Rowley, Robb
Justice, Ann E.
Rahm, Alanna K.
Fullerton, Stephanie M.
Smoller, Jordan W.
Larson, Eric B.
Crane, Paul K.
Dikilitas, Ozan
Wiesner, Georgia L.
Bick, Alexander G.
Terry, Mary Beth
Weng, Chunhua
author_facet Liu, Cong
Zeinomar, Nur
Chung, Wendy K.
Kiryluk, Krzysztof
Gharavi, Ali G.
Hripcsak, George
Crew, Katherine D.
Shang, Ning
Khan, Atlas
Fasel, David
Manolio, Teri A.
Jarvik, Gail P.
Rowley, Robb
Justice, Ann E.
Rahm, Alanna K.
Fullerton, Stephanie M.
Smoller, Jordan W.
Larson, Eric B.
Crane, Paul K.
Dikilitas, Ozan
Wiesner, Georgia L.
Bick, Alexander G.
Terry, Mary Beth
Weng, Chunhua
author_sort Liu, Cong
collection PubMed
description IMPORTANCE: Multiple polygenic risk scores (PRSs) for breast cancer have been developed from large research consortia; however, their generalizability to diverse clinical settings is unknown. OBJECTIVE: To examine the performance of previously developed breast cancer PRSs in a clinical setting for women of European, African, and Latinx ancestry. DESIGN, SETTING, AND PARTICIPANTS: This cohort study using the Electronic Medical Records and Genomics (eMERGE) network data set included 39 591 women from 9 contributing medical centers in the US that had electronic medical records (EMR) linked to genotype data. Breast cancer cases and controls were identified through a validated EMR phenotyping algorithm. MAIN OUTCOMES AND MEASURES: Multivariable logistic regression was used to assess the association between breast cancer risk and 7 previously developed PRSs, adjusting for age, study site, breast cancer family history, and first 3 ancestry informative principal components. RESULTS: This study included 39 591 women: 33 594 with European, 3801 with African, and 2196 with Latinx ancestry. The mean (SD) age at breast cancer diagnosis was 60.7 (13.0), 58.8 (12.5), and 60.1 (13.0) years for women with European, African, and Latinx ancestry, respectively. PRSs derived from women with European ancestry were associated with breast cancer risk in women with European ancestry (highest odds ratio [OR] per 1-SD increase, 1.46; 95% CI, 1.41-1.51), women with Latinx ancestry (highest OR, 1.31; 95% CI, 1.09-1.58), and women with African ancestry (OR, 1.19; 95% CI, 1.05-1.35). For women with European ancestry, this association with breast cancer risk was largest in the extremes of the PRS distribution, with ORs ranging from 2.19 (95% CI, 1.84-2.53) to 2.48 (95% CI, 1.89-3.25) for the 3 different PRSs examined for those in the highest 1% of the PRS compared with those in the middle quantile. Among women with Latinx and African ancestries at the extremes of the PRS distribution, there were no statistically significant associations. CONCLUSIONS AND RELEVANCE: This cohort study found that PRS models derived from women with European ancestry for breast cancer risk generalized well for women with European, Latinx, and African ancestries across different clinical settings, although the effect sizes for women with African ancestry were smaller, likely because of differences in risk allele frequencies and linkage disequilibrium patterns. These results highlight the need to improve representation of diverse population groups, particularly women with African ancestry, in genomic research cohorts.
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spelling pubmed-83399342021-08-09 Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry Liu, Cong Zeinomar, Nur Chung, Wendy K. Kiryluk, Krzysztof Gharavi, Ali G. Hripcsak, George Crew, Katherine D. Shang, Ning Khan, Atlas Fasel, David Manolio, Teri A. Jarvik, Gail P. Rowley, Robb Justice, Ann E. Rahm, Alanna K. Fullerton, Stephanie M. Smoller, Jordan W. Larson, Eric B. Crane, Paul K. Dikilitas, Ozan Wiesner, Georgia L. Bick, Alexander G. Terry, Mary Beth Weng, Chunhua JAMA Netw Open Original Investigation IMPORTANCE: Multiple polygenic risk scores (PRSs) for breast cancer have been developed from large research consortia; however, their generalizability to diverse clinical settings is unknown. OBJECTIVE: To examine the performance of previously developed breast cancer PRSs in a clinical setting for women of European, African, and Latinx ancestry. DESIGN, SETTING, AND PARTICIPANTS: This cohort study using the Electronic Medical Records and Genomics (eMERGE) network data set included 39 591 women from 9 contributing medical centers in the US that had electronic medical records (EMR) linked to genotype data. Breast cancer cases and controls were identified through a validated EMR phenotyping algorithm. MAIN OUTCOMES AND MEASURES: Multivariable logistic regression was used to assess the association between breast cancer risk and 7 previously developed PRSs, adjusting for age, study site, breast cancer family history, and first 3 ancestry informative principal components. RESULTS: This study included 39 591 women: 33 594 with European, 3801 with African, and 2196 with Latinx ancestry. The mean (SD) age at breast cancer diagnosis was 60.7 (13.0), 58.8 (12.5), and 60.1 (13.0) years for women with European, African, and Latinx ancestry, respectively. PRSs derived from women with European ancestry were associated with breast cancer risk in women with European ancestry (highest odds ratio [OR] per 1-SD increase, 1.46; 95% CI, 1.41-1.51), women with Latinx ancestry (highest OR, 1.31; 95% CI, 1.09-1.58), and women with African ancestry (OR, 1.19; 95% CI, 1.05-1.35). For women with European ancestry, this association with breast cancer risk was largest in the extremes of the PRS distribution, with ORs ranging from 2.19 (95% CI, 1.84-2.53) to 2.48 (95% CI, 1.89-3.25) for the 3 different PRSs examined for those in the highest 1% of the PRS compared with those in the middle quantile. Among women with Latinx and African ancestries at the extremes of the PRS distribution, there were no statistically significant associations. CONCLUSIONS AND RELEVANCE: This cohort study found that PRS models derived from women with European ancestry for breast cancer risk generalized well for women with European, Latinx, and African ancestries across different clinical settings, although the effect sizes for women with African ancestry were smaller, likely because of differences in risk allele frequencies and linkage disequilibrium patterns. These results highlight the need to improve representation of diverse population groups, particularly women with African ancestry, in genomic research cohorts. American Medical Association 2021-08-04 /pmc/articles/PMC8339934/ /pubmed/34347061 http://dx.doi.org/10.1001/jamanetworkopen.2021.19084 Text en Copyright 2021 Liu C et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Liu, Cong
Zeinomar, Nur
Chung, Wendy K.
Kiryluk, Krzysztof
Gharavi, Ali G.
Hripcsak, George
Crew, Katherine D.
Shang, Ning
Khan, Atlas
Fasel, David
Manolio, Teri A.
Jarvik, Gail P.
Rowley, Robb
Justice, Ann E.
Rahm, Alanna K.
Fullerton, Stephanie M.
Smoller, Jordan W.
Larson, Eric B.
Crane, Paul K.
Dikilitas, Ozan
Wiesner, Georgia L.
Bick, Alexander G.
Terry, Mary Beth
Weng, Chunhua
Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title_full Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title_fullStr Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title_full_unstemmed Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title_short Generalizability of Polygenic Risk Scores for Breast Cancer Among Women With European, African, and Latinx Ancestry
title_sort generalizability of polygenic risk scores for breast cancer among women with european, african, and latinx ancestry
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339934/
https://www.ncbi.nlm.nih.gov/pubmed/34347061
http://dx.doi.org/10.1001/jamanetworkopen.2021.19084
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