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Heritability of dietary food intake patterns

The quality and quantity of food intake affect body weight, but little is known about the genetics of such human dietary intake patterns in relation to the genetics of BMI. We aimed to estimate the heritability of dietary intake patterns and genetic correlation with BMI in participants of the Erasmu...

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Autores principales: van den Berg, Linda, Henneman, Peter, Willems van Dijk, Ko, Delemarre-van de Waal, Henriette A., Oostra, Ben A., van Duijn, Cornelia M., Janssens, A. Cecile J. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898132/
https://www.ncbi.nlm.nih.gov/pubmed/22415036
http://dx.doi.org/10.1007/s00592-012-0387-0
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author van den Berg, Linda
Henneman, Peter
Willems van Dijk, Ko
Delemarre-van de Waal, Henriette A.
Oostra, Ben A.
van Duijn, Cornelia M.
Janssens, A. Cecile J. W.
author_facet van den Berg, Linda
Henneman, Peter
Willems van Dijk, Ko
Delemarre-van de Waal, Henriette A.
Oostra, Ben A.
van Duijn, Cornelia M.
Janssens, A. Cecile J. W.
author_sort van den Berg, Linda
collection PubMed
description The quality and quantity of food intake affect body weight, but little is known about the genetics of such human dietary intake patterns in relation to the genetics of BMI. We aimed to estimate the heritability of dietary intake patterns and genetic correlation with BMI in participants of the Erasmus Rucphen Family study. The study included 1,690 individuals (42 % men; age range, 19–92), of whom 41.4 % were overweight and 15.9 % were obese. Self-report questionnaires were used to assess the number of days (0–7) on which participants consumed vegetables, fruit, fruit juice, fish, unhealthy snacks, fastfood, and soft drinks. Principal component analysis was applied to examine the correlations between the questionnaire items and to generate dietary intake pattern scores. Heritability and the shared genetic and shared non-genetic (environmental) correlations were estimated using the family structure of the cohort. Principal component analysis suggested that the questionnaire items could be grouped in a healthy and unhealthy dietary intake pattern, explaining 22 and 18 % of the phenotypic variance, respectively. The dietary intake patterns had a heritability of 0.32 for the healthy and 0.27 for the unhealthy pattern. Genetic correlations between the dietary intake patterns and BMI were not significant, but we found a significant environmental correlation between the unhealthy dietary intake pattern and BMI. Specific dietary intake patterns are associated with the risk of obesity and are heritable traits. The genetic factors that determine specific dietary intake patterns do not significantly overlap with the genetic factors that determine BMI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00592-012-0387-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-38981322014-01-28 Heritability of dietary food intake patterns van den Berg, Linda Henneman, Peter Willems van Dijk, Ko Delemarre-van de Waal, Henriette A. Oostra, Ben A. van Duijn, Cornelia M. Janssens, A. Cecile J. W. Acta Diabetol Original Article The quality and quantity of food intake affect body weight, but little is known about the genetics of such human dietary intake patterns in relation to the genetics of BMI. We aimed to estimate the heritability of dietary intake patterns and genetic correlation with BMI in participants of the Erasmus Rucphen Family study. The study included 1,690 individuals (42 % men; age range, 19–92), of whom 41.4 % were overweight and 15.9 % were obese. Self-report questionnaires were used to assess the number of days (0–7) on which participants consumed vegetables, fruit, fruit juice, fish, unhealthy snacks, fastfood, and soft drinks. Principal component analysis was applied to examine the correlations between the questionnaire items and to generate dietary intake pattern scores. Heritability and the shared genetic and shared non-genetic (environmental) correlations were estimated using the family structure of the cohort. Principal component analysis suggested that the questionnaire items could be grouped in a healthy and unhealthy dietary intake pattern, explaining 22 and 18 % of the phenotypic variance, respectively. The dietary intake patterns had a heritability of 0.32 for the healthy and 0.27 for the unhealthy pattern. Genetic correlations between the dietary intake patterns and BMI were not significant, but we found a significant environmental correlation between the unhealthy dietary intake pattern and BMI. Specific dietary intake patterns are associated with the risk of obesity and are heritable traits. The genetic factors that determine specific dietary intake patterns do not significantly overlap with the genetic factors that determine BMI. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00592-012-0387-0) contains supplementary material, which is available to authorized users. Springer Milan 2012-03-15 2013 /pmc/articles/PMC3898132/ /pubmed/22415036 http://dx.doi.org/10.1007/s00592-012-0387-0 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
van den Berg, Linda
Henneman, Peter
Willems van Dijk, Ko
Delemarre-van de Waal, Henriette A.
Oostra, Ben A.
van Duijn, Cornelia M.
Janssens, A. Cecile J. W.
Heritability of dietary food intake patterns
title Heritability of dietary food intake patterns
title_full Heritability of dietary food intake patterns
title_fullStr Heritability of dietary food intake patterns
title_full_unstemmed Heritability of dietary food intake patterns
title_short Heritability of dietary food intake patterns
title_sort heritability of dietary food intake patterns
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898132/
https://www.ncbi.nlm.nih.gov/pubmed/22415036
http://dx.doi.org/10.1007/s00592-012-0387-0
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