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The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores

BACKGROUND: Obesity susceptibility genes are highly expressed in the brain suggesting that they might exert their influence on body weight through eating-related behaviors. OBJECTIVES: To examine whether the genetic susceptibility to obesity is mediated by eating behavior patterns. METHODS: Particip...

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Autores principales: Masip, Guiomar, Silventoinen, Karri, Keski-Rahkonen, Anna, Palviainen, Teemu, Sipilä, Pyry N, Kaprio, Jaakko, Bogl, Leonie H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528566/
https://www.ncbi.nlm.nih.gov/pubmed/32685959
http://dx.doi.org/10.1093/ajcn/nqaa181
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author Masip, Guiomar
Silventoinen, Karri
Keski-Rahkonen, Anna
Palviainen, Teemu
Sipilä, Pyry N
Kaprio, Jaakko
Bogl, Leonie H
author_facet Masip, Guiomar
Silventoinen, Karri
Keski-Rahkonen, Anna
Palviainen, Teemu
Sipilä, Pyry N
Kaprio, Jaakko
Bogl, Leonie H
author_sort Masip, Guiomar
collection PubMed
description BACKGROUND: Obesity susceptibility genes are highly expressed in the brain suggesting that they might exert their influence on body weight through eating-related behaviors. OBJECTIVES: To examine whether the genetic susceptibility to obesity is mediated by eating behavior patterns. METHODS: Participants were 3977 twins (33% monozygotic, 56% females), aged 31–37 y, from wave 5 of the FinnTwin16 study. They self-reported their height and weight, eating behaviors (15 items), diet quality, and self-measured their waist circumference (WC). For 1055 twins with genome-wide data, we constructed a polygenic risk score for BMI (PRS(BMI)) using almost 1 million single nucleotide polymorphisms. We used principal component analyses to identify eating behavior patterns, twin modeling to decompose correlations into genetic and environmental components, and structural equation modeling to test mediation models between the PRS(BMI), eating behavior patterns, and obesity measures. RESULTS: We identified 4 moderately heritable (h(2) = 36–48%) eating behavior patterns labeled “snacking,” “infrequent and unhealthy eating,” “avoidant eating,” and “emotional and external eating.” The highest phenotypic correlation with obesity measures was found for the snacking behavior pattern (r = 0.35 for BMI and r = 0.32 for WC; P < 0.001 for both), largely due to genetic factors in common (bivariate h(2) > 70%). The snacking behavior pattern partially mediated the association between the PRS(BMI) and obesity measures (β(indirect) = 0.06; 95% CI: 0.02, 0.09; P = 0.002 for BMI; and β(indirect) = 0.05; 95% CI: 0.02, 0.08; P = 0.003 for WC). CONCLUSIONS: Eating behavior patterns share a common genetic liability with obesity measures and are moderately heritable. Genetic susceptibility to obesity can be partly mediated by an eating pattern characterized by frequent snacking. Obesity prevention efforts might therefore benefit from focusing on eating behavior change, particularly in genetically susceptible individuals.
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spelling pubmed-75285662020-10-07 The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores Masip, Guiomar Silventoinen, Karri Keski-Rahkonen, Anna Palviainen, Teemu Sipilä, Pyry N Kaprio, Jaakko Bogl, Leonie H Am J Clin Nutr Original Research Communications BACKGROUND: Obesity susceptibility genes are highly expressed in the brain suggesting that they might exert their influence on body weight through eating-related behaviors. OBJECTIVES: To examine whether the genetic susceptibility to obesity is mediated by eating behavior patterns. METHODS: Participants were 3977 twins (33% monozygotic, 56% females), aged 31–37 y, from wave 5 of the FinnTwin16 study. They self-reported their height and weight, eating behaviors (15 items), diet quality, and self-measured their waist circumference (WC). For 1055 twins with genome-wide data, we constructed a polygenic risk score for BMI (PRS(BMI)) using almost 1 million single nucleotide polymorphisms. We used principal component analyses to identify eating behavior patterns, twin modeling to decompose correlations into genetic and environmental components, and structural equation modeling to test mediation models between the PRS(BMI), eating behavior patterns, and obesity measures. RESULTS: We identified 4 moderately heritable (h(2) = 36–48%) eating behavior patterns labeled “snacking,” “infrequent and unhealthy eating,” “avoidant eating,” and “emotional and external eating.” The highest phenotypic correlation with obesity measures was found for the snacking behavior pattern (r = 0.35 for BMI and r = 0.32 for WC; P < 0.001 for both), largely due to genetic factors in common (bivariate h(2) > 70%). The snacking behavior pattern partially mediated the association between the PRS(BMI) and obesity measures (β(indirect) = 0.06; 95% CI: 0.02, 0.09; P = 0.002 for BMI; and β(indirect) = 0.05; 95% CI: 0.02, 0.08; P = 0.003 for WC). CONCLUSIONS: Eating behavior patterns share a common genetic liability with obesity measures and are moderately heritable. Genetic susceptibility to obesity can be partly mediated by an eating pattern characterized by frequent snacking. Obesity prevention efforts might therefore benefit from focusing on eating behavior change, particularly in genetically susceptible individuals. Oxford University Press 2020-07-20 /pmc/articles/PMC7528566/ /pubmed/32685959 http://dx.doi.org/10.1093/ajcn/nqaa181 Text en Copyright © The Author(s) on behalf of the American Society for Nutrition 2020. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Communications
Masip, Guiomar
Silventoinen, Karri
Keski-Rahkonen, Anna
Palviainen, Teemu
Sipilä, Pyry N
Kaprio, Jaakko
Bogl, Leonie H
The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title_full The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title_fullStr The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title_full_unstemmed The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title_short The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
title_sort genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores
topic Original Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528566/
https://www.ncbi.nlm.nih.gov/pubmed/32685959
http://dx.doi.org/10.1093/ajcn/nqaa181
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