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Identifying multiple causative genes at a single GWAS locus

Genome-wide association studies (GWAS) are useful for nominating candidate genes, but typically are unable to establish disease causality or differentiate between the effects of variants in linkage disequilibrium (LD). Additionally, some GWAS loci might contain multiple causative variants or genes t...

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Autores principales: Flister, Michael J., Tsaih, Shirng-Wern, O'Meara, Caitlin C., Endres, Bradley, Hoffman, Matthew J., Geurts, Aron M., Dwinell, Melinda R., Lazar, Jozef, Jacob, Howard J., Moreno, Carol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847770/
https://www.ncbi.nlm.nih.gov/pubmed/24006081
http://dx.doi.org/10.1101/gr.160283.113
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author Flister, Michael J.
Tsaih, Shirng-Wern
O'Meara, Caitlin C.
Endres, Bradley
Hoffman, Matthew J.
Geurts, Aron M.
Dwinell, Melinda R.
Lazar, Jozef
Jacob, Howard J.
Moreno, Carol
author_facet Flister, Michael J.
Tsaih, Shirng-Wern
O'Meara, Caitlin C.
Endres, Bradley
Hoffman, Matthew J.
Geurts, Aron M.
Dwinell, Melinda R.
Lazar, Jozef
Jacob, Howard J.
Moreno, Carol
author_sort Flister, Michael J.
collection PubMed
description Genome-wide association studies (GWAS) are useful for nominating candidate genes, but typically are unable to establish disease causality or differentiate between the effects of variants in linkage disequilibrium (LD). Additionally, some GWAS loci might contain multiple causative variants or genes that contribute to the overall disease susceptibility at a single locus. However, the majority of current GWAS lack the statistical power to test whether multiple causative genes underlie the same locus, prompting us to adopt an alternative approach to testing multiple GWAS genes empirically. We used gene targeting in a disease-susceptible rat model of genetic hypertension to test all six genes at the Agtrap-Plod1 locus (Agtrap, Mthfr, Clcn6, Nppa, Nppb, and Plod1) for blood pressure (BP) and renal phenotypes. This revealed that the majority of genes at this locus (five out of six) can impact hypertension by modifying BP and renal phenotypes. Mutations of Nppa, Plod1, and Mthfr increased disease susceptibility, whereas Agtrap and Clcn6 mutations decreased hypertension risk. Reanalysis of the human AGTRAP-PLOD1 locus also implied that disease-associated haplotype blocks with polygenic effects were not only possible, but rather were highly plausible. Combined, these data demonstrate for the first time that multiple modifiers of hypertension can cosegregate at a single GWAS locus.
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spelling pubmed-38477702014-06-01 Identifying multiple causative genes at a single GWAS locus Flister, Michael J. Tsaih, Shirng-Wern O'Meara, Caitlin C. Endres, Bradley Hoffman, Matthew J. Geurts, Aron M. Dwinell, Melinda R. Lazar, Jozef Jacob, Howard J. Moreno, Carol Genome Res Research Genome-wide association studies (GWAS) are useful for nominating candidate genes, but typically are unable to establish disease causality or differentiate between the effects of variants in linkage disequilibrium (LD). Additionally, some GWAS loci might contain multiple causative variants or genes that contribute to the overall disease susceptibility at a single locus. However, the majority of current GWAS lack the statistical power to test whether multiple causative genes underlie the same locus, prompting us to adopt an alternative approach to testing multiple GWAS genes empirically. We used gene targeting in a disease-susceptible rat model of genetic hypertension to test all six genes at the Agtrap-Plod1 locus (Agtrap, Mthfr, Clcn6, Nppa, Nppb, and Plod1) for blood pressure (BP) and renal phenotypes. This revealed that the majority of genes at this locus (five out of six) can impact hypertension by modifying BP and renal phenotypes. Mutations of Nppa, Plod1, and Mthfr increased disease susceptibility, whereas Agtrap and Clcn6 mutations decreased hypertension risk. Reanalysis of the human AGTRAP-PLOD1 locus also implied that disease-associated haplotype blocks with polygenic effects were not only possible, but rather were highly plausible. Combined, these data demonstrate for the first time that multiple modifiers of hypertension can cosegregate at a single GWAS locus. Cold Spring Harbor Laboratory Press 2013-12 /pmc/articles/PMC3847770/ /pubmed/24006081 http://dx.doi.org/10.1101/gr.160283.113 Text en © 2013 Flister et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/.
spellingShingle Research
Flister, Michael J.
Tsaih, Shirng-Wern
O'Meara, Caitlin C.
Endres, Bradley
Hoffman, Matthew J.
Geurts, Aron M.
Dwinell, Melinda R.
Lazar, Jozef
Jacob, Howard J.
Moreno, Carol
Identifying multiple causative genes at a single GWAS locus
title Identifying multiple causative genes at a single GWAS locus
title_full Identifying multiple causative genes at a single GWAS locus
title_fullStr Identifying multiple causative genes at a single GWAS locus
title_full_unstemmed Identifying multiple causative genes at a single GWAS locus
title_short Identifying multiple causative genes at a single GWAS locus
title_sort identifying multiple causative genes at a single gwas locus
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847770/
https://www.ncbi.nlm.nih.gov/pubmed/24006081
http://dx.doi.org/10.1101/gr.160283.113
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