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Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of genetic variants in...

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Autores principales: Cronin, Robert M., Field, Julie R., Bradford, Yuki, Shaffer, Christian M., Carroll, Robert J., Mosley, Jonathan D., Bastarache, Lisa, Edwards, Todd L., Hebbring, Scott J., Lin, Simon, Hindorff, Lucia A., Crane, Paul K., Pendergrass, Sarah A., Ritchie, Marylyn D., Crawford, Dana C., Pathak, Jyotishman, Bielinski, Suzette J., Carrell, David S., Crosslin, David R., Ledbetter, David H., Carey, David J., Tromp, Gerard, Williams, Marc S., Larson, Eric B., Jarvik, Gail P., Peissig, Peggy L., Brilliant, Murray H., McCarty, Catherine A., Chute, Christopher G., Kullo, Iftikhar J., Bottinger, Erwin, Chisholm, Rex, Smith, Maureen E., Roden, Dan M., Denny, Joshua C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134007/
https://www.ncbi.nlm.nih.gov/pubmed/25177340
http://dx.doi.org/10.3389/fgene.2014.00250
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author Cronin, Robert M.
Field, Julie R.
Bradford, Yuki
Shaffer, Christian M.
Carroll, Robert J.
Mosley, Jonathan D.
Bastarache, Lisa
Edwards, Todd L.
Hebbring, Scott J.
Lin, Simon
Hindorff, Lucia A.
Crane, Paul K.
Pendergrass, Sarah A.
Ritchie, Marylyn D.
Crawford, Dana C.
Pathak, Jyotishman
Bielinski, Suzette J.
Carrell, David S.
Crosslin, David R.
Ledbetter, David H.
Carey, David J.
Tromp, Gerard
Williams, Marc S.
Larson, Eric B.
Jarvik, Gail P.
Peissig, Peggy L.
Brilliant, Murray H.
McCarty, Catherine A.
Chute, Christopher G.
Kullo, Iftikhar J.
Bottinger, Erwin
Chisholm, Rex
Smith, Maureen E.
Roden, Dan M.
Denny, Joshua C.
author_facet Cronin, Robert M.
Field, Julie R.
Bradford, Yuki
Shaffer, Christian M.
Carroll, Robert J.
Mosley, Jonathan D.
Bastarache, Lisa
Edwards, Todd L.
Hebbring, Scott J.
Lin, Simon
Hindorff, Lucia A.
Crane, Paul K.
Pendergrass, Sarah A.
Ritchie, Marylyn D.
Crawford, Dana C.
Pathak, Jyotishman
Bielinski, Suzette J.
Carrell, David S.
Crosslin, David R.
Ledbetter, David H.
Carey, David J.
Tromp, Gerard
Williams, Marc S.
Larson, Eric B.
Jarvik, Gail P.
Peissig, Peggy L.
Brilliant, Murray H.
McCarty, Catherine A.
Chute, Christopher G.
Kullo, Iftikhar J.
Bottinger, Erwin
Chisholm, Rex
Smith, Maureen E.
Roden, Dan M.
Denny, Joshua C.
author_sort Cronin, Robert M.
collection PubMed
description Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of genetic variants in the fat mass and obesity associated gene (FTO), some of which have been previously associated with obesity and type 2 diabetes (T2D). We used a population of 10,487 individuals of European ancestry with genome-wide genotyping from the Electronic Medical Records and Genomics (eMERGE) Network and another population of 13,711 individuals of European ancestry from the BioVU DNA biobank at Vanderbilt genotyped using Illumina HumanExome BeadChip. A meta-analysis of the two study populations replicated the well-described associations between FTO variants and obesity (odds ratio [OR] = 1.25, 95% Confidence Interval = 1.11–1.24, p = 2.10 × 10(−9)) and FTO variants and T2D (OR = 1.14, 95% CI = 1.08–1.21, p = 2.34 × 10(−6)). The meta-analysis also demonstrated that FTO variant rs8050136 was significantly associated with sleep apnea (OR = 1.14, 95% CI = 1.07–1.22, p = 3.33 × 10(−5)); however, the association was attenuated after adjustment for body mass index (BMI). Novel phenotype associations with obesity-associated FTO variants included fibrocystic breast disease (rs9941349, OR = 0.81, 95% CI = 0.74–0.91, p = 5.41 × 10(−5)) and trends toward associations with non-alcoholic liver disease and gram-positive bacterial infections. FTO variants not associated with obesity demonstrated other potential disease associations including non-inflammatory disorders of the cervix and chronic periodontitis. These results suggest that genetic variants in FTO may have pleiotropic associations, some of which are not mediated by obesity.
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spelling pubmed-41340072014-08-29 Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index Cronin, Robert M. Field, Julie R. Bradford, Yuki Shaffer, Christian M. Carroll, Robert J. Mosley, Jonathan D. Bastarache, Lisa Edwards, Todd L. Hebbring, Scott J. Lin, Simon Hindorff, Lucia A. Crane, Paul K. Pendergrass, Sarah A. Ritchie, Marylyn D. Crawford, Dana C. Pathak, Jyotishman Bielinski, Suzette J. Carrell, David S. Crosslin, David R. Ledbetter, David H. Carey, David J. Tromp, Gerard Williams, Marc S. Larson, Eric B. Jarvik, Gail P. Peissig, Peggy L. Brilliant, Murray H. McCarty, Catherine A. Chute, Christopher G. Kullo, Iftikhar J. Bottinger, Erwin Chisholm, Rex Smith, Maureen E. Roden, Dan M. Denny, Joshua C. Front Genet Genetics Phenome-wide association studies (PheWAS) have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR)-based PheWAS to explore pleiotropy of genetic variants in the fat mass and obesity associated gene (FTO), some of which have been previously associated with obesity and type 2 diabetes (T2D). We used a population of 10,487 individuals of European ancestry with genome-wide genotyping from the Electronic Medical Records and Genomics (eMERGE) Network and another population of 13,711 individuals of European ancestry from the BioVU DNA biobank at Vanderbilt genotyped using Illumina HumanExome BeadChip. A meta-analysis of the two study populations replicated the well-described associations between FTO variants and obesity (odds ratio [OR] = 1.25, 95% Confidence Interval = 1.11–1.24, p = 2.10 × 10(−9)) and FTO variants and T2D (OR = 1.14, 95% CI = 1.08–1.21, p = 2.34 × 10(−6)). The meta-analysis also demonstrated that FTO variant rs8050136 was significantly associated with sleep apnea (OR = 1.14, 95% CI = 1.07–1.22, p = 3.33 × 10(−5)); however, the association was attenuated after adjustment for body mass index (BMI). Novel phenotype associations with obesity-associated FTO variants included fibrocystic breast disease (rs9941349, OR = 0.81, 95% CI = 0.74–0.91, p = 5.41 × 10(−5)) and trends toward associations with non-alcoholic liver disease and gram-positive bacterial infections. FTO variants not associated with obesity demonstrated other potential disease associations including non-inflammatory disorders of the cervix and chronic periodontitis. These results suggest that genetic variants in FTO may have pleiotropic associations, some of which are not mediated by obesity. Frontiers Media S.A. 2014-08-05 /pmc/articles/PMC4134007/ /pubmed/25177340 http://dx.doi.org/10.3389/fgene.2014.00250 Text en Copyright © 2014 Cronin, Field, Bradford, Shaffer, Carroll, Mosley, Bastarache, Edwards, Hebbring, Lin, Hindorff, Crane, Pendergrass, Ritchie, Crawford, Pathak, Bielinski, Carrell, Crosslin, Ledbetter, Carey, Tromp, Williams, Larson, Jarvik, Peissig, Brilliant, McCarty, Chute, Kullo, Bottinger, Chisholm, Smith, Roden and Denny. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Cronin, Robert M.
Field, Julie R.
Bradford, Yuki
Shaffer, Christian M.
Carroll, Robert J.
Mosley, Jonathan D.
Bastarache, Lisa
Edwards, Todd L.
Hebbring, Scott J.
Lin, Simon
Hindorff, Lucia A.
Crane, Paul K.
Pendergrass, Sarah A.
Ritchie, Marylyn D.
Crawford, Dana C.
Pathak, Jyotishman
Bielinski, Suzette J.
Carrell, David S.
Crosslin, David R.
Ledbetter, David H.
Carey, David J.
Tromp, Gerard
Williams, Marc S.
Larson, Eric B.
Jarvik, Gail P.
Peissig, Peggy L.
Brilliant, Murray H.
McCarty, Catherine A.
Chute, Christopher G.
Kullo, Iftikhar J.
Bottinger, Erwin
Chisholm, Rex
Smith, Maureen E.
Roden, Dan M.
Denny, Joshua C.
Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title_full Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title_fullStr Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title_full_unstemmed Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title_short Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index
title_sort phenome-wide association studies demonstrating pleiotropy of genetic variants within fto with and without adjustment for body mass index
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4134007/
https://www.ncbi.nlm.nih.gov/pubmed/25177340
http://dx.doi.org/10.3389/fgene.2014.00250
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