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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7528566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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