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Effect of Body Composition Methodology on Heritability Estimation of Body Fatness

Heritability estimates of human body fatness vary widely and the contribution of body composition methodology to this variability is unknown. The effect of body composition methodology on estimations of genetic and environmental contributions to body fatness variation was examined in 78 adult male a...

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Autores principales: Elder, Sonya J., Roberts, Susan B., McCrory, Megan A., Das, Sai Krupa, Fuss, Paul J., Pittas, Anastassios G., Greenberg, Andrew S., Heymsfield, Steven B., Dawson-Hughes, Bess, Bouchard, Thomas J., Saltzman, Edward, Neale, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110980/
https://www.ncbi.nlm.nih.gov/pubmed/25067962
http://dx.doi.org/10.2174/1874288201206010048
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author Elder, Sonya J.
Roberts, Susan B.
McCrory, Megan A.
Das, Sai Krupa
Fuss, Paul J.
Pittas, Anastassios G.
Greenberg, Andrew S.
Heymsfield, Steven B.
Dawson-Hughes, Bess
Bouchard, Thomas J.
Saltzman, Edward
Neale, Michael C.
author_facet Elder, Sonya J.
Roberts, Susan B.
McCrory, Megan A.
Das, Sai Krupa
Fuss, Paul J.
Pittas, Anastassios G.
Greenberg, Andrew S.
Heymsfield, Steven B.
Dawson-Hughes, Bess
Bouchard, Thomas J.
Saltzman, Edward
Neale, Michael C.
author_sort Elder, Sonya J.
collection PubMed
description Heritability estimates of human body fatness vary widely and the contribution of body composition methodology to this variability is unknown. The effect of body composition methodology on estimations of genetic and environmental contributions to body fatness variation was examined in 78 adult male and female monozygotic twin pairs reared apart or together. Body composition was assessed by six methods – body mass index (BMI), dual energy x-ray absorptiometry (DXA), underwater weighing (UWW), total body water (TBW), bioelectric impedance (BIA), and skinfold thickness. Body fatness was expressed as percent body fat, fat mass, and fat mass/height(2) to assess the effect of body fatness expression on heritability estimates. Model-fitting multivariate analyses were used to assess the genetic and environmental components of variance. Mean BMI was 24.5 kg/m(2) (range of 17.8–43.4 kg/m(2)). There was a significant effect of body composition methodology (p<0.001) on heritability estimates, with UWW giving the highest estimate (69%) and BIA giving the lowest estimate (47%) for fat mass/height(2). Expression of body fatness as percent body fat resulted in significantly higher heritability estimates (on average 10.3% higher) compared to expression as fat mass/height(2) (p=0.015). DXA and TBW methods expressing body fatness as fat mass/height(2) gave the least biased heritability assessments, based on the small contribution of specific genetic factors to their genetic variance. A model combining DXA and TBW methods resulted in a relatively low FM/ht(2) heritability estimate of 60%, and significant contributions of common and unique environmental factors (22% and 18%, respectively). The body fatness heritability estimate of 60% indicates a smaller contribution of genetic variance to total variance than many previous studies using less powerful research designs have indicated. The results also highlight the importance of environmental factors and possibly genotype by environmental interactions in the etiology of weight gain and the obesity epidemic.
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spelling pubmed-41109802014-07-25 Effect of Body Composition Methodology on Heritability Estimation of Body Fatness Elder, Sonya J. Roberts, Susan B. McCrory, Megan A. Das, Sai Krupa Fuss, Paul J. Pittas, Anastassios G. Greenberg, Andrew S. Heymsfield, Steven B. Dawson-Hughes, Bess Bouchard, Thomas J. Saltzman, Edward Neale, Michael C. Open Nutr J Article Heritability estimates of human body fatness vary widely and the contribution of body composition methodology to this variability is unknown. The effect of body composition methodology on estimations of genetic and environmental contributions to body fatness variation was examined in 78 adult male and female monozygotic twin pairs reared apart or together. Body composition was assessed by six methods – body mass index (BMI), dual energy x-ray absorptiometry (DXA), underwater weighing (UWW), total body water (TBW), bioelectric impedance (BIA), and skinfold thickness. Body fatness was expressed as percent body fat, fat mass, and fat mass/height(2) to assess the effect of body fatness expression on heritability estimates. Model-fitting multivariate analyses were used to assess the genetic and environmental components of variance. Mean BMI was 24.5 kg/m(2) (range of 17.8–43.4 kg/m(2)). There was a significant effect of body composition methodology (p<0.001) on heritability estimates, with UWW giving the highest estimate (69%) and BIA giving the lowest estimate (47%) for fat mass/height(2). Expression of body fatness as percent body fat resulted in significantly higher heritability estimates (on average 10.3% higher) compared to expression as fat mass/height(2) (p=0.015). DXA and TBW methods expressing body fatness as fat mass/height(2) gave the least biased heritability assessments, based on the small contribution of specific genetic factors to their genetic variance. A model combining DXA and TBW methods resulted in a relatively low FM/ht(2) heritability estimate of 60%, and significant contributions of common and unique environmental factors (22% and 18%, respectively). The body fatness heritability estimate of 60% indicates a smaller contribution of genetic variance to total variance than many previous studies using less powerful research designs have indicated. The results also highlight the importance of environmental factors and possibly genotype by environmental interactions in the etiology of weight gain and the obesity epidemic. 2012-04-05 /pmc/articles/PMC4110980/ /pubmed/25067962 http://dx.doi.org/10.2174/1874288201206010048 Text en © Elder et al.; Licensee Bentham Open This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Elder, Sonya J.
Roberts, Susan B.
McCrory, Megan A.
Das, Sai Krupa
Fuss, Paul J.
Pittas, Anastassios G.
Greenberg, Andrew S.
Heymsfield, Steven B.
Dawson-Hughes, Bess
Bouchard, Thomas J.
Saltzman, Edward
Neale, Michael C.
Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title_full Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title_fullStr Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title_full_unstemmed Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title_short Effect of Body Composition Methodology on Heritability Estimation of Body Fatness
title_sort effect of body composition methodology on heritability estimation of body fatness
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110980/
https://www.ncbi.nlm.nih.gov/pubmed/25067962
http://dx.doi.org/10.2174/1874288201206010048
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