Loading…
Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study
African ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI)...
Saved in:
Published in: | PloS one 2021-08, Vol.16 (8), p.e0255609-e0255609 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23 |
---|---|
cites | cdi_FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23 |
container_end_page | e0255609 |
container_issue | 8 |
container_start_page | e0255609 |
container_title | PloS one |
container_volume | 16 |
creator | Anwar, Mohammad Y Raffield, Laura M Lange, Leslie A Correa, Adolfo Taylor, Kira C |
description | African ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI) and waist circumference (WC) also predict other, less commonly measured adiposity measures in 2420 African American individuals from the Jackson Heart Study. Polygenic risk scores (PRS) were calculated using GWAS-significant variants extracted from published studies mostly representing European ancestry populations for BMI, waist-hip ratio (WHR) adjusted for BMI (WHR.sub.BMIadj ), waist circumference adjusted for BMI (WC.sub.BMIadj ), and body fat percentage (BF%). Associations between each PRS and adiposity measures including BF%, subcutaneous adiposity tissue (SAT), visceral adiposity tissue (VAT) and VAT:SAT ratio (VSR) were examined using multivariable linear regression, with or without BMI adjustment. In non-BMI adjusted models, all phenotype-PRS were found to be positive predictors of BF%, SAT and VAT. WHR-PRS was a positive predictor of VSR, but BF% and BMI-PRS were negative predictors of VSR. After adjusting for BMI, WHR-PRS remained a positive predictor of BF%, VAT and VSR but not SAT. WC-PRS was a positive predictor of SAT and VAT; BF%-PRS was a positive predictor of BF% and SAT only. These analyses suggest that genetically driven increases in BF% strongly associate with subcutaneous rather than visceral adiposity and BF% is strongly associated with BMI but not central adiposity-associated genetic variants. How common genetic variants may contribute to observed differences in adiposity patterns between African and European ancestry individuals requires further study. |
doi_str_mv | 10.1371/journal.pone.0255609 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2558086209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A670653884</galeid><doaj_id>oai_doaj_org_article_269d1fe6535647a7b41ddafd3c11d0c4</doaj_id><sourcerecordid>A670653884</sourcerecordid><originalsourceid>FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23</originalsourceid><addsrcrecordid>eNqNk1GL1DAQx4so3nn6DQQDgujDrkmTpu09CMuhdysHB576GtJkupu1TdYkVffbm92tcpV7kDwkJL_5z8yfTJY9J3hOaEnebtzgrezmW2dhjvOi4Lh-kJ2SmuYznmP68M75JHsSwgbjglacP85OKKOsrBg_zX5egoVoFBqsBr811hq7Csi1yMPKuJQASW22Lpi4Q9qE6E0zxPSAjEWL1hsl097D4RDO0SIECKEHGwNqvetRXAP6KNW3kEKuQPqIbuOgd0-zR63sAjwb97Psy4f3ny-uZtc3l8uLxfVMcV7HGZO0lEySpikUk7ImXCkCDcmpZCXUhVKsVsBrLiFPEaziWBe5Vk3ZtJSonJ5lL466284FMXoWRLKrwlWypk7E8khoJzdi600v_U44acThwvmVSFUb1YHIea1JC7ygBWelLBtGtJatpooQjRVLWu_GbEPTg1bJBi-7iej0xZq1WLkfoqKUlzVOAq9HAe--DxCi6E1Q0HXSghuOdbOCVzVJ6Mt_0Pu7G6mVTA0Y27qUV-1FxYKXOLVSVfu65_dQaWnojUofrDXpfhLwZhKQmAi_4koOIYjl7af_Z2--TtlXd9g1yC6ug-sOPy5MQXYElXcheGj_mkyw2M_HHzfEfj7EOB_0N_dBA0w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2558086209</pqid></control><display><type>article</type><title>Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study</title><source>PubMed Central Free</source><source>Publicly Available Content Database</source><creator>Anwar, Mohammad Y ; Raffield, Laura M ; Lange, Leslie A ; Correa, Adolfo ; Taylor, Kira C</creator><contributor>Wang, Heming</contributor><creatorcontrib>Anwar, Mohammad Y ; Raffield, Laura M ; Lange, Leslie A ; Correa, Adolfo ; Taylor, Kira C ; Wang, Heming</creatorcontrib><description>African ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI) and waist circumference (WC) also predict other, less commonly measured adiposity measures in 2420 African American individuals from the Jackson Heart Study. Polygenic risk scores (PRS) were calculated using GWAS-significant variants extracted from published studies mostly representing European ancestry populations for BMI, waist-hip ratio (WHR) adjusted for BMI (WHR.sub.BMIadj ), waist circumference adjusted for BMI (WC.sub.BMIadj ), and body fat percentage (BF%). Associations between each PRS and adiposity measures including BF%, subcutaneous adiposity tissue (SAT), visceral adiposity tissue (VAT) and VAT:SAT ratio (VSR) were examined using multivariable linear regression, with or without BMI adjustment. In non-BMI adjusted models, all phenotype-PRS were found to be positive predictors of BF%, SAT and VAT. WHR-PRS was a positive predictor of VSR, but BF% and BMI-PRS were negative predictors of VSR. After adjusting for BMI, WHR-PRS remained a positive predictor of BF%, VAT and VSR but not SAT. WC-PRS was a positive predictor of SAT and VAT; BF%-PRS was a positive predictor of BF% and SAT only. These analyses suggest that genetically driven increases in BF% strongly associate with subcutaneous rather than visceral adiposity and BF% is strongly associated with BMI but not central adiposity-associated genetic variants. How common genetic variants may contribute to observed differences in adiposity patterns between African and European ancestry individuals requires further study.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0255609</identifier><identifier>PMID: 34347846</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Adipose tissue ; African Americans ; Biology and Life Sciences ; Body fat ; Body mass ; Body mass index ; Body size ; Gene loci ; Genetic aspects ; Genetic diversity ; Genetic variance ; Genomes ; Genotype & phenotype ; Health aspects ; Health risk assessment ; Health risks ; Information science ; Medicine and Health Sciences ; Minority & ethnic groups ; Obesity ; Phenotypes ; Physiological aspects ; Population ; Public health ; Sample size</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0255609-e0255609</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Anwar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Anwar et al 2021 Anwar et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23</citedby><cites>FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23</cites><orcidid>0000-0001-9941-7196 ; 0000-0002-2349-8214</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2558086209/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2558086209?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><contributor>Wang, Heming</contributor><creatorcontrib>Anwar, Mohammad Y</creatorcontrib><creatorcontrib>Raffield, Laura M</creatorcontrib><creatorcontrib>Lange, Leslie A</creatorcontrib><creatorcontrib>Correa, Adolfo</creatorcontrib><creatorcontrib>Taylor, Kira C</creatorcontrib><title>Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study</title><title>PloS one</title><description>African ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI) and waist circumference (WC) also predict other, less commonly measured adiposity measures in 2420 African American individuals from the Jackson Heart Study. Polygenic risk scores (PRS) were calculated using GWAS-significant variants extracted from published studies mostly representing European ancestry populations for BMI, waist-hip ratio (WHR) adjusted for BMI (WHR.sub.BMIadj ), waist circumference adjusted for BMI (WC.sub.BMIadj ), and body fat percentage (BF%). Associations between each PRS and adiposity measures including BF%, subcutaneous adiposity tissue (SAT), visceral adiposity tissue (VAT) and VAT:SAT ratio (VSR) were examined using multivariable linear regression, with or without BMI adjustment. In non-BMI adjusted models, all phenotype-PRS were found to be positive predictors of BF%, SAT and VAT. WHR-PRS was a positive predictor of VSR, but BF% and BMI-PRS were negative predictors of VSR. After adjusting for BMI, WHR-PRS remained a positive predictor of BF%, VAT and VSR but not SAT. WC-PRS was a positive predictor of SAT and VAT; BF%-PRS was a positive predictor of BF% and SAT only. These analyses suggest that genetically driven increases in BF% strongly associate with subcutaneous rather than visceral adiposity and BF% is strongly associated with BMI but not central adiposity-associated genetic variants. How common genetic variants may contribute to observed differences in adiposity patterns between African and European ancestry individuals requires further study.</description><subject>Adipose tissue</subject><subject>African Americans</subject><subject>Biology and Life Sciences</subject><subject>Body fat</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Gene loci</subject><subject>Genetic aspects</subject><subject>Genetic diversity</subject><subject>Genetic variance</subject><subject>Genomes</subject><subject>Genotype & phenotype</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Information science</subject><subject>Medicine and Health Sciences</subject><subject>Minority & ethnic groups</subject><subject>Obesity</subject><subject>Phenotypes</subject><subject>Physiological aspects</subject><subject>Population</subject><subject>Public health</subject><subject>Sample size</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1GL1DAQx4so3nn6DQQDgujDrkmTpu09CMuhdysHB576GtJkupu1TdYkVffbm92tcpV7kDwkJL_5z8yfTJY9J3hOaEnebtzgrezmW2dhjvOi4Lh-kJ2SmuYznmP68M75JHsSwgbjglacP85OKKOsrBg_zX5egoVoFBqsBr811hq7Csi1yMPKuJQASW22Lpi4Q9qE6E0zxPSAjEWL1hsl097D4RDO0SIECKEHGwNqvetRXAP6KNW3kEKuQPqIbuOgd0-zR63sAjwb97Psy4f3ny-uZtc3l8uLxfVMcV7HGZO0lEySpikUk7ImXCkCDcmpZCXUhVKsVsBrLiFPEaziWBe5Vk3ZtJSonJ5lL466284FMXoWRLKrwlWypk7E8khoJzdi600v_U44acThwvmVSFUb1YHIea1JC7ygBWelLBtGtJatpooQjRVLWu_GbEPTg1bJBi-7iej0xZq1WLkfoqKUlzVOAq9HAe--DxCi6E1Q0HXSghuOdbOCVzVJ6Mt_0Pu7G6mVTA0Y27qUV-1FxYKXOLVSVfu65_dQaWnojUofrDXpfhLwZhKQmAi_4koOIYjl7af_Z2--TtlXd9g1yC6ug-sOPy5MQXYElXcheGj_mkyw2M_HHzfEfj7EOB_0N_dBA0w</recordid><startdate>20210804</startdate><enddate>20210804</enddate><creator>Anwar, Mohammad Y</creator><creator>Raffield, Laura M</creator><creator>Lange, Leslie A</creator><creator>Correa, Adolfo</creator><creator>Taylor, Kira C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9941-7196</orcidid><orcidid>https://orcid.org/0000-0002-2349-8214</orcidid></search><sort><creationdate>20210804</creationdate><title>Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study</title><author>Anwar, Mohammad Y ; Raffield, Laura M ; Lange, Leslie A ; Correa, Adolfo ; Taylor, Kira C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adipose tissue</topic><topic>African Americans</topic><topic>Biology and Life Sciences</topic><topic>Body fat</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Gene loci</topic><topic>Genetic aspects</topic><topic>Genetic diversity</topic><topic>Genetic variance</topic><topic>Genomes</topic><topic>Genotype & phenotype</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Information science</topic><topic>Medicine and Health Sciences</topic><topic>Minority & ethnic groups</topic><topic>Obesity</topic><topic>Phenotypes</topic><topic>Physiological aspects</topic><topic>Population</topic><topic>Public health</topic><topic>Sample size</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anwar, Mohammad Y</creatorcontrib><creatorcontrib>Raffield, Laura M</creatorcontrib><creatorcontrib>Lange, Leslie A</creatorcontrib><creatorcontrib>Correa, Adolfo</creatorcontrib><creatorcontrib>Taylor, Kira C</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anwar, Mohammad Y</au><au>Raffield, Laura M</au><au>Lange, Leslie A</au><au>Correa, Adolfo</au><au>Taylor, Kira C</au><au>Wang, Heming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study</atitle><jtitle>PloS one</jtitle><date>2021-08-04</date><risdate>2021</risdate><volume>16</volume><issue>8</issue><spage>e0255609</spage><epage>e0255609</epage><pages>e0255609-e0255609</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>African ancestry individuals with comparable overall anthropometric measures to Europeans have lower abdominal adiposity. To explore the genetic underpinning of different adiposity patterns, we investigated whether genetic risk scores for well-studied adiposity phenotypes like body mass index (BMI) and waist circumference (WC) also predict other, less commonly measured adiposity measures in 2420 African American individuals from the Jackson Heart Study. Polygenic risk scores (PRS) were calculated using GWAS-significant variants extracted from published studies mostly representing European ancestry populations for BMI, waist-hip ratio (WHR) adjusted for BMI (WHR.sub.BMIadj ), waist circumference adjusted for BMI (WC.sub.BMIadj ), and body fat percentage (BF%). Associations between each PRS and adiposity measures including BF%, subcutaneous adiposity tissue (SAT), visceral adiposity tissue (VAT) and VAT:SAT ratio (VSR) were examined using multivariable linear regression, with or without BMI adjustment. In non-BMI adjusted models, all phenotype-PRS were found to be positive predictors of BF%, SAT and VAT. WHR-PRS was a positive predictor of VSR, but BF% and BMI-PRS were negative predictors of VSR. After adjusting for BMI, WHR-PRS remained a positive predictor of BF%, VAT and VSR but not SAT. WC-PRS was a positive predictor of SAT and VAT; BF%-PRS was a positive predictor of BF% and SAT only. These analyses suggest that genetically driven increases in BF% strongly associate with subcutaneous rather than visceral adiposity and BF% is strongly associated with BMI but not central adiposity-associated genetic variants. How common genetic variants may contribute to observed differences in adiposity patterns between African and European ancestry individuals requires further study.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>34347846</pmid><doi>10.1371/journal.pone.0255609</doi><tpages>e0255609</tpages><orcidid>https://orcid.org/0000-0001-9941-7196</orcidid><orcidid>https://orcid.org/0000-0002-2349-8214</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2021-08, Vol.16 (8), p.e0255609-e0255609 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2558086209 |
source | PubMed Central Free; Publicly Available Content Database |
subjects | Adipose tissue African Americans Biology and Life Sciences Body fat Body mass Body mass index Body size Gene loci Genetic aspects Genetic diversity Genetic variance Genomes Genotype & phenotype Health aspects Health risk assessment Health risks Information science Medicine and Health Sciences Minority & ethnic groups Obesity Phenotypes Physiological aspects Population Public health Sample size |
title | Genetic underpinnings of regional adiposity distribution in African Americans: Assessments from the Jackson Heart Study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T23%3A43%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genetic%20underpinnings%20of%20regional%20adiposity%20distribution%20in%20African%20Americans:%20Assessments%20from%20the%20Jackson%20Heart%20Study&rft.jtitle=PloS%20one&rft.au=Anwar,%20Mohammad%20Y&rft.date=2021-08-04&rft.volume=16&rft.issue=8&rft.spage=e0255609&rft.epage=e0255609&rft.pages=e0255609-e0255609&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0255609&rft_dat=%3Cgale_plos_%3EA670653884%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c669t-4a37a4a1bb5c4aa916cc1eb123a47e95cc49ce696ae2c664860d52dcb7bf31c23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2558086209&rft_id=info:pmid/34347846&rft_galeid=A670653884&rfr_iscdi=true |