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...
Gespeichert in:
Veröffentlicht in: | Military medicine 2020-01, Vol.185 (Supplement_1), p.649-655 |
---|---|
Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2430103493</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/milmed/usz216</oup_id><sourcerecordid>2430103493</sourcerecordid><originalsourceid>FETCH-LOGICAL-c393t-6795678b0aa40d09c97b72964c31f36e0bff35a348be6b7dc83b1daddadca36a3</originalsourceid><addsrcrecordid>eNqFkMFLwzAUh4Mobk6PXiXgxUtd0temzXEOp4NNPTgQLyVtUpbRLjVp1e2vt6XbWQi88N73fjw-hK4puaeEw7jURankuHF7n7ITNKQciMcofJyiISE-8wIShQN04dyGEBrwmJ6jAXQf4P4QVdZRyiIS-hFeVa62SpTY5PjzZeazAE-cM5kWtZL4R9dr_GDkDi-Fc3i-leoX6y2u1wpPjdWqKPCbss5sRaH37cJSSZ3pbTctCpEaK2r9rS7RWS4Kp64OdYRWs8f36bO3eH2aTycLLwMOtcciHrIoTokQAZGEZzxKI5-zIAOaA1MkzXMIBQRxqlgaySyGlEoh25cJYAJG6LbPraz5apSrk41pbHubS_wACCUQcGgpr6cya5yzKk8qq0thdwklSec36f0mvd-WvzmkNmnXPtJHoS1w1wOmqf7J-gPoGYWq</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2430103493</pqid></control><display><type>article</type><title>rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>EZB-FREE-00999 freely available EZB journals</source><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</creator><creatorcontrib>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</creatorcontrib><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.</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 & 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. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-6795678b0aa40d09c97b72964c31f36e0bff35a348be6b7dc83b1daddadca36a3</citedby><cites>FETCH-LOGICAL-c393t-6795678b0aa40d09c97b72964c31f36e0bff35a348be6b7dc83b1daddadca36a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,1581,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31498392$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kusic, Dara M</creatorcontrib><creatorcontrib>Roberts, Wendy N</creatorcontrib><creatorcontrib>Jarvis, Joseph P</creatorcontrib><creatorcontrib>Zhang, Pan</creatorcontrib><creatorcontrib>Scheinfeldt, Laura B</creatorcontrib><creatorcontrib>Rajula, Kaveri D</creatorcontrib><creatorcontrib>Brenner, Ruth</creatorcontrib><creatorcontrib>Dempsey, Michael P</creatorcontrib><creatorcontrib>Zajic, Stefan C</creatorcontrib><title>rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative</title><title>Military medicine</title><addtitle>Mil Med</addtitle><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.</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 & 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 ; Roberts, Wendy N ; Jarvis, Joseph P ; Zhang, Pan ; Scheinfeldt, Laura B ; Rajula, Kaveri D ; Brenner, Ruth ; Dempsey, Michael P ; Zajic, Stefan C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-6795678b0aa40d09c97b72964c31f36e0bff35a348be6b7dc83b1daddadca36a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Body Mass Index</topic><topic>Collaboration</topic><topic>Female</topic><topic>Generalized linear models</topic><topic>Genome-Wide Association Study - methods</topic><topic>Genomes</topic><topic>Humans</topic><topic>Male</topic><topic>Military Personnel - statistics & numerical data</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - genetics</topic><topic>Ohio - epidemiology</topic><topic>Precision medicine</topic><topic>Precision Medicine - instrumentation</topic><topic>Precision Medicine - methods</topic><topic>Principal components analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kusic, Dara M</creatorcontrib><creatorcontrib>Roberts, Wendy N</creatorcontrib><creatorcontrib>Jarvis, Joseph P</creatorcontrib><creatorcontrib>Zhang, Pan</creatorcontrib><creatorcontrib>Scheinfeldt, Laura B</creatorcontrib><creatorcontrib>Rajula, Kaveri D</creatorcontrib><creatorcontrib>Brenner, Ruth</creatorcontrib><creatorcontrib>Dempsey, Michael P</creatorcontrib><creatorcontrib>Zajic, Stefan C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Military medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kusic, Dara M</au><au>Roberts, Wendy N</au><au>Jarvis, Joseph P</au><au>Zhang, Pan</au><au>Scheinfeldt, Laura B</au><au>Rajula, Kaveri D</au><au>Brenner, Ruth</au><au>Dempsey, Michael P</au><au>Zajic, Stefan C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative</atitle><jtitle>Military medicine</jtitle><addtitle>Mil Med</addtitle><date>2020-01-07</date><risdate>2020</risdate><volume>185</volume><issue>Supplement_1</issue><spage>649</spage><epage>655</epage><pages>649-655</pages><issn>0026-4075</issn><eissn>1930-613X</eissn><abstract>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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>31498392</pmid><doi>10.1093/milmed/usz216</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0026-4075 |
ispartof | Military medicine, 2020-01, Vol.185 (Supplement_1), p.649-655 |
issn | 0026-4075 1930-613X |
language | eng |
recordid | cdi_proquest_journals_2430103493 |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T16%3A31%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=rs11670527%20Upstream%20of%20ZNF264%20Associated%20with%20Body%20Mass%20Index%20in%20the%20Coriell%20Personalized%20Medicine%20Collaborative&rft.jtitle=Military%20medicine&rft.au=Kusic,%20Dara%20M&rft.date=2020-01-07&rft.volume=185&rft.issue=Supplement_1&rft.spage=649&rft.epage=655&rft.pages=649-655&rft.issn=0026-4075&rft.eissn=1930-613X&rft_id=info:doi/10.1093/milmed/usz216&rft_dat=%3Cproquest_cross%3E2430103493%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2430103493&rft_id=info:pmid/31498392&rft_oup_id=10.1093/milmed/usz216&rfr_iscdi=true |