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Leveraging genetic ancestry to study health disparities
Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that ra...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246846/ https://www.ncbi.nlm.nih.gov/pubmed/32935870 http://dx.doi.org/10.1002/ajpa.24144 |
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author | Batai, Ken Hooker, Stanley Kittles, Rick A. |
author_facet | Batai, Ken Hooker, Stanley Kittles, Rick A. |
author_sort | Batai, Ken |
collection | PubMed |
description | Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that racial/ethnic categories should not be used as a surrogate for sociocultural factors or global genomic clusters in biomedical research or clinical settings, because of the high genetic heterogeneity that exists within traditional racial/ethnic groups. Genetic ancestry is used to show variation in ancestral genomic contributions to recently admixed populations in the United States, such as African Americans and Hispanic/Latino Americans. Genetic ancestry estimates are also used to examine the relationship between ancestry‐related biological and sociocultural factors affecting health disparities. To localize areas of genomes that contribute to health disparities, admixture mapping and genome‐wide association studies (GWAS) are often used. Recent GWAS have identified many genetic variants that are highly differentiated among human populations that are associated with disease risk. Some of these are population‐specific variants. Many of these variants may impact disease risk and help explain a portion of the difference in disease burden among racial/ethnic groups. Genetic ancestry is also of particular interest in precision medicine and disparities in drug efficacy and outcomes. By using genetic ancestry, we can learn about potential biological differences that may contribute to the heterogeneity observed across self‐reported racial groups. |
format | Online Article Text |
id | pubmed-8246846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82468462021-07-02 Leveraging genetic ancestry to study health disparities Batai, Ken Hooker, Stanley Kittles, Rick A. Am J Phys Anthropol Research Articles Research to understand human genomic variation and its implications in health has great potential to contribute in the reduction of health disparities. Biological anthropology can play important roles in genomics and health disparities research using a biocultural approach. This paper argues that racial/ethnic categories should not be used as a surrogate for sociocultural factors or global genomic clusters in biomedical research or clinical settings, because of the high genetic heterogeneity that exists within traditional racial/ethnic groups. Genetic ancestry is used to show variation in ancestral genomic contributions to recently admixed populations in the United States, such as African Americans and Hispanic/Latino Americans. Genetic ancestry estimates are also used to examine the relationship between ancestry‐related biological and sociocultural factors affecting health disparities. To localize areas of genomes that contribute to health disparities, admixture mapping and genome‐wide association studies (GWAS) are often used. Recent GWAS have identified many genetic variants that are highly differentiated among human populations that are associated with disease risk. Some of these are population‐specific variants. Many of these variants may impact disease risk and help explain a portion of the difference in disease burden among racial/ethnic groups. Genetic ancestry is also of particular interest in precision medicine and disparities in drug efficacy and outcomes. By using genetic ancestry, we can learn about potential biological differences that may contribute to the heterogeneity observed across self‐reported racial groups. John Wiley & Sons, Inc. 2020-09-16 2021-06 /pmc/articles/PMC8246846/ /pubmed/32935870 http://dx.doi.org/10.1002/ajpa.24144 Text en © 2020 The Authors. American Journal of Physical Anthropology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Batai, Ken Hooker, Stanley Kittles, Rick A. Leveraging genetic ancestry to study health disparities |
title | Leveraging genetic ancestry to study health disparities |
title_full | Leveraging genetic ancestry to study health disparities |
title_fullStr | Leveraging genetic ancestry to study health disparities |
title_full_unstemmed | Leveraging genetic ancestry to study health disparities |
title_short | Leveraging genetic ancestry to study health disparities |
title_sort | leveraging genetic ancestry to study health disparities |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8246846/ https://www.ncbi.nlm.nih.gov/pubmed/32935870 http://dx.doi.org/10.1002/ajpa.24144 |
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