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Evidence of selection as a cause for racial disparities in fibroproliferative disease

Fibroproliferative diseases are common complex traits featuring scarring and overgrowth of connective tissue which vary widely in presentation because they affect many organ systems. Most fibroproliferative diseases are more prevalent in African-derived populations than in European populations, lead...

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Autores principales: Hellwege, Jacklyn N., Torstenson, Eric S., Russell, Shirley B., Edwards, Todd L., Velez Edwards, Digna R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549739/
https://www.ncbi.nlm.nih.gov/pubmed/28792542
http://dx.doi.org/10.1371/journal.pone.0182791
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author Hellwege, Jacklyn N.
Torstenson, Eric S.
Russell, Shirley B.
Edwards, Todd L.
Velez Edwards, Digna R.
author_facet Hellwege, Jacklyn N.
Torstenson, Eric S.
Russell, Shirley B.
Edwards, Todd L.
Velez Edwards, Digna R.
author_sort Hellwege, Jacklyn N.
collection PubMed
description Fibroproliferative diseases are common complex traits featuring scarring and overgrowth of connective tissue which vary widely in presentation because they affect many organ systems. Most fibroproliferative diseases are more prevalent in African-derived populations than in European populations, leading to pronounced health disparities. It is hypothesized that the increased prevalence of these diseases in African-derived populations is due to selection for pro-fibrotic alleles that are protective against helminth infections. We constructed a genetic risk score (GRS) of fibroproliferative disease risk-increasing alleles using 147 linkage disequilibrium-pruned variants identified through genome-wide association studies of seven fibroproliferative diseases with large African-European prevalence disparities. A comparison of the fibroproliferative disease GRS between 1000 Genomes Phase 3 populations detected a higher mean GRS in AFR (mean = 148 risk alleles) than EUR (mean = 136 risk alleles; T-test p-value = 1.75x10(-123)). To test whether differences in GRS burden are systematic and may be due to selection, we employed the quantitative trait loci (QTL) sign test. The QTL sign test result indicates that population differences in risk-increasing allele burdens at these fibroproliferative disease variants are systematic and support a model featuring selective pressure (p-value = 0.011). These observations were replicated in an independent sample and were more statistically significant (T-test p-value = 7.26x10(-237), sign test p-value = 0.015). This evidence supports the role of selective pressure acting to increase frequency of fibroproliferative alleles in populations of African relative to European ancestry populations.
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spelling pubmed-55497392017-08-12 Evidence of selection as a cause for racial disparities in fibroproliferative disease Hellwege, Jacklyn N. Torstenson, Eric S. Russell, Shirley B. Edwards, Todd L. Velez Edwards, Digna R. PLoS One Research Article Fibroproliferative diseases are common complex traits featuring scarring and overgrowth of connective tissue which vary widely in presentation because they affect many organ systems. Most fibroproliferative diseases are more prevalent in African-derived populations than in European populations, leading to pronounced health disparities. It is hypothesized that the increased prevalence of these diseases in African-derived populations is due to selection for pro-fibrotic alleles that are protective against helminth infections. We constructed a genetic risk score (GRS) of fibroproliferative disease risk-increasing alleles using 147 linkage disequilibrium-pruned variants identified through genome-wide association studies of seven fibroproliferative diseases with large African-European prevalence disparities. A comparison of the fibroproliferative disease GRS between 1000 Genomes Phase 3 populations detected a higher mean GRS in AFR (mean = 148 risk alleles) than EUR (mean = 136 risk alleles; T-test p-value = 1.75x10(-123)). To test whether differences in GRS burden are systematic and may be due to selection, we employed the quantitative trait loci (QTL) sign test. The QTL sign test result indicates that population differences in risk-increasing allele burdens at these fibroproliferative disease variants are systematic and support a model featuring selective pressure (p-value = 0.011). These observations were replicated in an independent sample and were more statistically significant (T-test p-value = 7.26x10(-237), sign test p-value = 0.015). This evidence supports the role of selective pressure acting to increase frequency of fibroproliferative alleles in populations of African relative to European ancestry populations. Public Library of Science 2017-08-08 /pmc/articles/PMC5549739/ /pubmed/28792542 http://dx.doi.org/10.1371/journal.pone.0182791 Text en © 2017 Hellwege 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hellwege, Jacklyn N.
Torstenson, Eric S.
Russell, Shirley B.
Edwards, Todd L.
Velez Edwards, Digna R.
Evidence of selection as a cause for racial disparities in fibroproliferative disease
title Evidence of selection as a cause for racial disparities in fibroproliferative disease
title_full Evidence of selection as a cause for racial disparities in fibroproliferative disease
title_fullStr Evidence of selection as a cause for racial disparities in fibroproliferative disease
title_full_unstemmed Evidence of selection as a cause for racial disparities in fibroproliferative disease
title_short Evidence of selection as a cause for racial disparities in fibroproliferative disease
title_sort evidence of selection as a cause for racial disparities in fibroproliferative disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5549739/
https://www.ncbi.nlm.nih.gov/pubmed/28792542
http://dx.doi.org/10.1371/journal.pone.0182791
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