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Genetic Analysis of Low BMI Phenotype in the Utah Population Database

The low body mass index (BMI) phenotype of less than 18.5 has been linked to medical and psychological morbidity as well as increased mortality risk. Although genetic factors have been shown to influence BMI across the entire BMI, the contribution of genetic factors to the low BMI phenotype is uncle...

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Autores principales: Yates, William R., Johnson, Craig, McKee, Patrick, Cannon-Albright, Lisa A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859471/
https://www.ncbi.nlm.nih.gov/pubmed/24348998
http://dx.doi.org/10.1371/journal.pone.0080287
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author Yates, William R.
Johnson, Craig
McKee, Patrick
Cannon-Albright, Lisa A.
author_facet Yates, William R.
Johnson, Craig
McKee, Patrick
Cannon-Albright, Lisa A.
author_sort Yates, William R.
collection PubMed
description The low body mass index (BMI) phenotype of less than 18.5 has been linked to medical and psychological morbidity as well as increased mortality risk. Although genetic factors have been shown to influence BMI across the entire BMI, the contribution of genetic factors to the low BMI phenotype is unclear. We hypothesized genetic factors would contribute to risk of a low BMI phenotype. To test this hypothesis, we conducted a genealogy data analysis using height and weight measurements from driver's license data from the Utah Population Data Base. The Genealogical Index of Familiality (GIF) test and relative risk in relatives were used to examine evidence for excess relatedness among individuals with the low BMI phenotype. The overall GIF test for excess relatedness in the low BMI phenotype showed a significant excess over expected (GIF 4.47 for all cases versus 4.10 for controls, overall empirical p-value<0.001). The significant excess relatedness was still observed when close relationships were ignored, supporting a specific genetic contribution rather than only a family environmental effect. This study supports a specific genetic contribution in the risk for the low BMI phenotype. Better understanding of the genetic contribution to low BMI holds promise for weight regulation and potentially for novel strategies in the treatment of leanness and obesity.
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spelling pubmed-38594712013-12-13 Genetic Analysis of Low BMI Phenotype in the Utah Population Database Yates, William R. Johnson, Craig McKee, Patrick Cannon-Albright, Lisa A. PLoS One Research Article The low body mass index (BMI) phenotype of less than 18.5 has been linked to medical and psychological morbidity as well as increased mortality risk. Although genetic factors have been shown to influence BMI across the entire BMI, the contribution of genetic factors to the low BMI phenotype is unclear. We hypothesized genetic factors would contribute to risk of a low BMI phenotype. To test this hypothesis, we conducted a genealogy data analysis using height and weight measurements from driver's license data from the Utah Population Data Base. The Genealogical Index of Familiality (GIF) test and relative risk in relatives were used to examine evidence for excess relatedness among individuals with the low BMI phenotype. The overall GIF test for excess relatedness in the low BMI phenotype showed a significant excess over expected (GIF 4.47 for all cases versus 4.10 for controls, overall empirical p-value<0.001). The significant excess relatedness was still observed when close relationships were ignored, supporting a specific genetic contribution rather than only a family environmental effect. This study supports a specific genetic contribution in the risk for the low BMI phenotype. Better understanding of the genetic contribution to low BMI holds promise for weight regulation and potentially for novel strategies in the treatment of leanness and obesity. Public Library of Science 2013-12-11 /pmc/articles/PMC3859471/ /pubmed/24348998 http://dx.doi.org/10.1371/journal.pone.0080287 Text en © 2013 Yates 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Yates, William R.
Johnson, Craig
McKee, Patrick
Cannon-Albright, Lisa A.
Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title_full Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title_fullStr Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title_full_unstemmed Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title_short Genetic Analysis of Low BMI Phenotype in the Utah Population Database
title_sort genetic analysis of low bmi phenotype in the utah population database
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859471/
https://www.ncbi.nlm.nih.gov/pubmed/24348998
http://dx.doi.org/10.1371/journal.pone.0080287
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