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Regional fat depot masses are influenced by protein-coding gene variants

Waist-to-hip ratio (WHR) is a prominent cardiometabolic risk factor that increases cardio-metabolic disease risk independently of BMI and for which multiple genetic loci have been identified. However, WHR is a relatively crude proxy for fat distribution and it does not capture all variation in fat d...

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Autores principales: Neville, Matt J., Wittemans, Laura B. L., Pinnick, Katherine E., Todorčević, Marijana, Kaksonen, Risto, Pietiläinen, Kirsi H., Luan, Jian’an, Scott, Robert A., Wareham, Nicholas J., Langenberg, Claudia, Karpe, Fredrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542527/
https://www.ncbi.nlm.nih.gov/pubmed/31145760
http://dx.doi.org/10.1371/journal.pone.0217644
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author Neville, Matt J.
Wittemans, Laura B. L.
Pinnick, Katherine E.
Todorčević, Marijana
Kaksonen, Risto
Pietiläinen, Kirsi H.
Luan, Jian’an
Scott, Robert A.
Wareham, Nicholas J.
Langenberg, Claudia
Karpe, Fredrik
author_facet Neville, Matt J.
Wittemans, Laura B. L.
Pinnick, Katherine E.
Todorčević, Marijana
Kaksonen, Risto
Pietiläinen, Kirsi H.
Luan, Jian’an
Scott, Robert A.
Wareham, Nicholas J.
Langenberg, Claudia
Karpe, Fredrik
author_sort Neville, Matt J.
collection PubMed
description Waist-to-hip ratio (WHR) is a prominent cardiometabolic risk factor that increases cardio-metabolic disease risk independently of BMI and for which multiple genetic loci have been identified. However, WHR is a relatively crude proxy for fat distribution and it does not capture all variation in fat distribution. We here present a study of the role of coding genetic variants on fat mass in 6 distinct regions of the body, based on dual-energy X-ray absorptiometry imaging on more than 17k participants. We find that the missense variant CCDC92(S70C,) previously associated with WHR, is associated specifically increased leg fat mass and reduced visceral but not subcutaneous central fat. The minor allele-carrying transcript of CCDC92 is constitutively more highly expressed in adipose tissue samples. In addition, we identify two coding variants in SPATA20 and UQCC1 that are associated with arm fat mass. SPATA20(K422R) is a low-frequency variant with a large effect on arm fat only, and UQCC1(R51Q) is a common variant reaching significance for arm but showing similar trends in other subcutaneous fat depots. Our findings support the notion that different fat compartments are regulated by distinct genetic factors.
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spelling pubmed-65425272019-06-17 Regional fat depot masses are influenced by protein-coding gene variants Neville, Matt J. Wittemans, Laura B. L. Pinnick, Katherine E. Todorčević, Marijana Kaksonen, Risto Pietiläinen, Kirsi H. Luan, Jian’an Scott, Robert A. Wareham, Nicholas J. Langenberg, Claudia Karpe, Fredrik PLoS One Research Article Waist-to-hip ratio (WHR) is a prominent cardiometabolic risk factor that increases cardio-metabolic disease risk independently of BMI and for which multiple genetic loci have been identified. However, WHR is a relatively crude proxy for fat distribution and it does not capture all variation in fat distribution. We here present a study of the role of coding genetic variants on fat mass in 6 distinct regions of the body, based on dual-energy X-ray absorptiometry imaging on more than 17k participants. We find that the missense variant CCDC92(S70C,) previously associated with WHR, is associated specifically increased leg fat mass and reduced visceral but not subcutaneous central fat. The minor allele-carrying transcript of CCDC92 is constitutively more highly expressed in adipose tissue samples. In addition, we identify two coding variants in SPATA20 and UQCC1 that are associated with arm fat mass. SPATA20(K422R) is a low-frequency variant with a large effect on arm fat only, and UQCC1(R51Q) is a common variant reaching significance for arm but showing similar trends in other subcutaneous fat depots. Our findings support the notion that different fat compartments are regulated by distinct genetic factors. Public Library of Science 2019-05-30 /pmc/articles/PMC6542527/ /pubmed/31145760 http://dx.doi.org/10.1371/journal.pone.0217644 Text en © 2019 Neville 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
Neville, Matt J.
Wittemans, Laura B. L.
Pinnick, Katherine E.
Todorčević, Marijana
Kaksonen, Risto
Pietiläinen, Kirsi H.
Luan, Jian’an
Scott, Robert A.
Wareham, Nicholas J.
Langenberg, Claudia
Karpe, Fredrik
Regional fat depot masses are influenced by protein-coding gene variants
title Regional fat depot masses are influenced by protein-coding gene variants
title_full Regional fat depot masses are influenced by protein-coding gene variants
title_fullStr Regional fat depot masses are influenced by protein-coding gene variants
title_full_unstemmed Regional fat depot masses are influenced by protein-coding gene variants
title_short Regional fat depot masses are influenced by protein-coding gene variants
title_sort regional fat depot masses are influenced by protein-coding gene variants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6542527/
https://www.ncbi.nlm.nih.gov/pubmed/31145760
http://dx.doi.org/10.1371/journal.pone.0217644
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