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Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases

We performed a Phenome-Wide Association Study (PheWAS) to identify interrelationships between the immune system genetic architecture and a wide array of phenotypes from two de-identified electronic health record (EHR) biorepositories. We selected variants within genes encoding critical factors in th...

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Autores principales: Verma, Anurag, Basile, Anna O., Bradford, Yuki, Kuivaniemi, Helena, Tromp, Gerard, Carey, David, Gerhard, Glenn S., Crowe, James E., Ritchie, Marylyn D., Pendergrass, Sarah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980020/
https://www.ncbi.nlm.nih.gov/pubmed/27508393
http://dx.doi.org/10.1371/journal.pone.0160573
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author Verma, Anurag
Basile, Anna O.
Bradford, Yuki
Kuivaniemi, Helena
Tromp, Gerard
Carey, David
Gerhard, Glenn S.
Crowe, James E.
Ritchie, Marylyn D.
Pendergrass, Sarah A.
author_facet Verma, Anurag
Basile, Anna O.
Bradford, Yuki
Kuivaniemi, Helena
Tromp, Gerard
Carey, David
Gerhard, Glenn S.
Crowe, James E.
Ritchie, Marylyn D.
Pendergrass, Sarah A.
author_sort Verma, Anurag
collection PubMed
description We performed a Phenome-Wide Association Study (PheWAS) to identify interrelationships between the immune system genetic architecture and a wide array of phenotypes from two de-identified electronic health record (EHR) biorepositories. We selected variants within genes encoding critical factors in the immune system and variants with known associations with autoimmunity. To define case/control status for EHR diagnoses, we used International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes from 3,024 Geisinger Clinic MyCode(®) subjects (470 diagnoses) and 2,899 Vanderbilt University Medical Center BioVU biorepository subjects (380 diagnoses). A pooled-analysis was also carried out for the replicating results of the two data sets. We identified new associations with potential biological relevance including SNPs in tumor necrosis factor (TNF) and ankyrin-related genes associated with acute and chronic sinusitis and acute respiratory tract infection. The two most significant associations identified were for the C6orf10 SNP rs6910071 and “rheumatoid arthritis” (ICD-9 code category 714) (p(METAL) = 2.58 x 10(−9)) and the ATN1 SNP rs2239167 and “diabetes mellitus, type 2” (ICD-9 code category 250) (p(METAL) = 6.39 x 10(−9)). This study highlights the utility of using PheWAS in conjunction with EHRs to discover new genotypic-phenotypic associations for immune-system related genetic loci.
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spelling pubmed-49800202016-08-25 Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases Verma, Anurag Basile, Anna O. Bradford, Yuki Kuivaniemi, Helena Tromp, Gerard Carey, David Gerhard, Glenn S. Crowe, James E. Ritchie, Marylyn D. Pendergrass, Sarah A. PLoS One Research Article We performed a Phenome-Wide Association Study (PheWAS) to identify interrelationships between the immune system genetic architecture and a wide array of phenotypes from two de-identified electronic health record (EHR) biorepositories. We selected variants within genes encoding critical factors in the immune system and variants with known associations with autoimmunity. To define case/control status for EHR diagnoses, we used International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes from 3,024 Geisinger Clinic MyCode(®) subjects (470 diagnoses) and 2,899 Vanderbilt University Medical Center BioVU biorepository subjects (380 diagnoses). A pooled-analysis was also carried out for the replicating results of the two data sets. We identified new associations with potential biological relevance including SNPs in tumor necrosis factor (TNF) and ankyrin-related genes associated with acute and chronic sinusitis and acute respiratory tract infection. The two most significant associations identified were for the C6orf10 SNP rs6910071 and “rheumatoid arthritis” (ICD-9 code category 714) (p(METAL) = 2.58 x 10(−9)) and the ATN1 SNP rs2239167 and “diabetes mellitus, type 2” (ICD-9 code category 250) (p(METAL) = 6.39 x 10(−9)). This study highlights the utility of using PheWAS in conjunction with EHRs to discover new genotypic-phenotypic associations for immune-system related genetic loci. Public Library of Science 2016-08-10 /pmc/articles/PMC4980020/ /pubmed/27508393 http://dx.doi.org/10.1371/journal.pone.0160573 Text en © 2016 Verma 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
Verma, Anurag
Basile, Anna O.
Bradford, Yuki
Kuivaniemi, Helena
Tromp, Gerard
Carey, David
Gerhard, Glenn S.
Crowe, James E.
Ritchie, Marylyn D.
Pendergrass, Sarah A.
Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title_full Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title_fullStr Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title_full_unstemmed Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title_short Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases
title_sort phenome-wide association study to explore relationships between immune system related genetic loci and complex traits and diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4980020/
https://www.ncbi.nlm.nih.gov/pubmed/27508393
http://dx.doi.org/10.1371/journal.pone.0160573
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