Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Batai, Ken, Hooker, Stanley, Kittles, Rick A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
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
_version_ 1783716395408687104
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
work_keys_str_mv AT bataiken leveraginggeneticancestrytostudyhealthdisparities
AT hookerstanley leveraginggeneticancestrytostudyhealthdisparities
AT kittlesricka leveraginggeneticancestrytostudyhealthdisparities