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Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases

Many disease-susceptible SNPs exhibit significant disparity in ancestral and derived allele frequencies across worldwide populations. While previous studies have examined population differentiation of alleles at specific SNPs, global ethnic patterns of ensembles of disease risk alleles across human...

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Autores principales: Chen, Rong, Corona, Erik, Sikora, Martin, Dudley, Joel T., Morgan, Alex A., Moreno-Estrada, Andres, Nilsen, Geoffrey B., Ruau, David, Lincoln, Stephen E., Bustamante, Carlos D., Butte, Atul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3325177/
https://www.ncbi.nlm.nih.gov/pubmed/22511877
http://dx.doi.org/10.1371/journal.pgen.1002621
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author Chen, Rong
Corona, Erik
Sikora, Martin
Dudley, Joel T.
Morgan, Alex A.
Moreno-Estrada, Andres
Nilsen, Geoffrey B.
Ruau, David
Lincoln, Stephen E.
Bustamante, Carlos D.
Butte, Atul J.
author_facet Chen, Rong
Corona, Erik
Sikora, Martin
Dudley, Joel T.
Morgan, Alex A.
Moreno-Estrada, Andres
Nilsen, Geoffrey B.
Ruau, David
Lincoln, Stephen E.
Bustamante, Carlos D.
Butte, Atul J.
author_sort Chen, Rong
collection PubMed
description Many disease-susceptible SNPs exhibit significant disparity in ancestral and derived allele frequencies across worldwide populations. While previous studies have examined population differentiation of alleles at specific SNPs, global ethnic patterns of ensembles of disease risk alleles across human diseases are unexamined. To examine these patterns, we manually curated ethnic disease association data from 5,065 papers on human genetic studies representing 1,495 diseases, recording the precise risk alleles and their measured population frequencies and estimated effect sizes. We systematically compared the population frequencies of cross-ethnic risk alleles for each disease across 1,397 individuals from 11 HapMap populations, 1,064 individuals from 53 HGDP populations, and 49 individuals with whole-genome sequences from 10 populations. Type 2 diabetes (T2D) demonstrated extreme directional differentiation of risk allele frequencies across human populations, compared with null distributions of European-frequency matched control genomic alleles and risk alleles for other diseases. Most T2D risk alleles share a consistent pattern of decreasing frequencies along human migration into East Asia. Furthermore, we show that these patterns contribute to disparities in predicted genetic risk across 1,397 HapMap individuals, T2D genetic risk being consistently higher for individuals in the African populations and lower in the Asian populations, irrespective of the ethnicity considered in the initial discovery of risk alleles. We observed a similar pattern in the distribution of T2D Genetic Risk Scores, which are associated with an increased risk of developing diabetes in the Diabetes Prevention Program cohort, for the same individuals. This disparity may be attributable to the promotion of energy storage and usage appropriate to environments and inconsistent energy intake. Our results indicate that the differential frequencies of T2D risk alleles may contribute to the observed disparity in T2D incidence rates across ethnic populations.
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spelling pubmed-33251772012-04-17 Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases Chen, Rong Corona, Erik Sikora, Martin Dudley, Joel T. Morgan, Alex A. Moreno-Estrada, Andres Nilsen, Geoffrey B. Ruau, David Lincoln, Stephen E. Bustamante, Carlos D. Butte, Atul J. PLoS Genet Research Article Many disease-susceptible SNPs exhibit significant disparity in ancestral and derived allele frequencies across worldwide populations. While previous studies have examined population differentiation of alleles at specific SNPs, global ethnic patterns of ensembles of disease risk alleles across human diseases are unexamined. To examine these patterns, we manually curated ethnic disease association data from 5,065 papers on human genetic studies representing 1,495 diseases, recording the precise risk alleles and their measured population frequencies and estimated effect sizes. We systematically compared the population frequencies of cross-ethnic risk alleles for each disease across 1,397 individuals from 11 HapMap populations, 1,064 individuals from 53 HGDP populations, and 49 individuals with whole-genome sequences from 10 populations. Type 2 diabetes (T2D) demonstrated extreme directional differentiation of risk allele frequencies across human populations, compared with null distributions of European-frequency matched control genomic alleles and risk alleles for other diseases. Most T2D risk alleles share a consistent pattern of decreasing frequencies along human migration into East Asia. Furthermore, we show that these patterns contribute to disparities in predicted genetic risk across 1,397 HapMap individuals, T2D genetic risk being consistently higher for individuals in the African populations and lower in the Asian populations, irrespective of the ethnicity considered in the initial discovery of risk alleles. We observed a similar pattern in the distribution of T2D Genetic Risk Scores, which are associated with an increased risk of developing diabetes in the Diabetes Prevention Program cohort, for the same individuals. This disparity may be attributable to the promotion of energy storage and usage appropriate to environments and inconsistent energy intake. Our results indicate that the differential frequencies of T2D risk alleles may contribute to the observed disparity in T2D incidence rates across ethnic populations. Public Library of Science 2012-04-12 /pmc/articles/PMC3325177/ /pubmed/22511877 http://dx.doi.org/10.1371/journal.pgen.1002621 Text en Chen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chen, Rong
Corona, Erik
Sikora, Martin
Dudley, Joel T.
Morgan, Alex A.
Moreno-Estrada, Andres
Nilsen, Geoffrey B.
Ruau, David
Lincoln, Stephen E.
Bustamante, Carlos D.
Butte, Atul J.
Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title_full Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title_fullStr Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title_full_unstemmed Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title_short Type 2 Diabetes Risk Alleles Demonstrate Extreme Directional Differentiation among Human Populations, Compared to Other Diseases
title_sort type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3325177/
https://www.ncbi.nlm.nih.gov/pubmed/22511877
http://dx.doi.org/10.1371/journal.pgen.1002621
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