rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative

Abstract Introduction: the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavio...

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Veröffentlicht in:Military medicine 2020-01, Vol.185 (Supplement_1), p.649-655
Hauptverfasser: Kusic, Dara M, Roberts, Wendy N, Jarvis, Joseph P, Zhang, Pan, Scheinfeldt, Laura B, Rajula, Kaveri D, Brenner, Ruth, Dempsey, Michael P, Zajic, Stefan C
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container_end_page 655
container_issue Supplement_1
container_start_page 649
container_title Military medicine
container_volume 185
creator Kusic, Dara M
Roberts, Wendy N
Jarvis, Joseph P
Zhang, Pan
Scheinfeldt, Laura B
Rajula, Kaveri D
Brenner, Ruth
Dempsey, Michael P
Zajic, Stefan C
description Abstract Introduction: the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood. Materials and Methods: we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity. Results: we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI. Conclusions: the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.
doi_str_mv 10.1093/milmed/usz216
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Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood. Materials and Methods: we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity. Results: we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI. Conclusions: the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.</description><identifier>ISSN: 0026-4075</identifier><identifier>EISSN: 1930-613X</identifier><identifier>DOI: 10.1093/milmed/usz216</identifier><identifier>PMID: 31498392</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Body Mass Index ; Collaboration ; Female ; Generalized linear models ; Genome-Wide Association Study - methods ; Genomes ; Humans ; Male ; Military Personnel - statistics &amp; numerical data ; Obesity ; Obesity - epidemiology ; Obesity - genetics ; Ohio - epidemiology ; Precision medicine ; Precision Medicine - instrumentation ; Precision Medicine - methods ; Principal components analysis</subject><ispartof>Military medicine, 2020-01, Vol.185 (Supplement_1), p.649-655</ispartof><rights>Association of Military Surgeons of the United States 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2019</rights><rights>Association of Military Surgeons of the United States 2019. All rights reserved. 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These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.</description><subject>Adult</subject><subject>Body Mass Index</subject><subject>Collaboration</subject><subject>Female</subject><subject>Generalized linear models</subject><subject>Genome-Wide Association Study - methods</subject><subject>Genomes</subject><subject>Humans</subject><subject>Male</subject><subject>Military Personnel - statistics &amp; numerical data</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - genetics</subject><subject>Ohio - epidemiology</subject><subject>Precision medicine</subject><subject>Precision Medicine - instrumentation</subject><subject>Precision Medicine - methods</subject><subject>Principal components analysis</subject><issn>0026-4075</issn><issn>1930-613X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMFLwzAUh4Mobk6PXiXgxUtd0temzXEOp4NNPTgQLyVtUpbRLjVp1e2vt6XbWQi88N73fjw-hK4puaeEw7jURankuHF7n7ITNKQciMcofJyiISE-8wIShQN04dyGEBrwmJ6jAXQf4P4QVdZRyiIS-hFeVa62SpTY5PjzZeazAE-cM5kWtZL4R9dr_GDkDi-Fc3i-leoX6y2u1wpPjdWqKPCbss5sRaH37cJSSZ3pbTctCpEaK2r9rS7RWS4Kp64OdYRWs8f36bO3eH2aTycLLwMOtcciHrIoTokQAZGEZzxKI5-zIAOaA1MkzXMIBQRxqlgaySyGlEoh25cJYAJG6LbPraz5apSrk41pbHubS_wACCUQcGgpr6cya5yzKk8qq0thdwklSec36f0mvd-WvzmkNmnXPtJHoS1w1wOmqf7J-gPoGYWq</recordid><startdate>20200107</startdate><enddate>20200107</enddate><creator>Kusic, Dara M</creator><creator>Roberts, Wendy N</creator><creator>Jarvis, Joseph P</creator><creator>Zhang, Pan</creator><creator>Scheinfeldt, Laura B</creator><creator>Rajula, Kaveri D</creator><creator>Brenner, Ruth</creator><creator>Dempsey, Michael P</creator><creator>Zajic, Stefan C</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20200107</creationdate><title>rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative</title><author>Kusic, Dara M ; 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source MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals
subjects Adult
Body Mass Index
Collaboration
Female
Generalized linear models
Genome-Wide Association Study - methods
Genomes
Humans
Male
Military Personnel - statistics & numerical data
Obesity
Obesity - epidemiology
Obesity - genetics
Ohio - epidemiology
Precision medicine
Precision Medicine - instrumentation
Precision Medicine - methods
Principal components analysis
title rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative
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