Appetitive traits as behavioural pathways in genetic susceptibility to obesity : a population-based cross-sectional study

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Konttinen , H , Llewellyn , C , Wardle , J , Silventoinen , K , Joensuu , A , Mannisto , S , Salomaa , V , Jousilahti , P , Kaprio , J , Perola , M & Haukkala , A 2015 , ' Appetitive traits as behavioural pathways in genetic susceptibility to obesity : a population-based cross-sectional study ' , Scientific Reports , vol. 5 , 14726 . https://doi.org/10.1038/srep14726

Title: Appetitive traits as behavioural pathways in genetic susceptibility to obesity : a population-based cross-sectional study
Author: Konttinen, Hanna; Llewellyn, Clare; Wardle, Jane; Silventoinen, Karri; Joensuu, Anni; Mannisto, Satu; Salomaa, Veikko; Jousilahti, Pekka; Kaprio, Jaakko; Perola, Markus; Haukkala, Ari
Other contributor: University of Helsinki, Department of Social Research (2010-2017)
University of Helsinki, Department of Social Research (2010-2017)
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, National Institute for Health and Welfare (THL)
University of Helsinki, Clinicum
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Department of Social Research (2010-2017)













Date: 2015-10-01
Language: eng
Number of pages: 10
Belongs to series: Scientific Reports
ISSN: 2045-2322
DOI: https://doi.org/10.1038/srep14726
URI: http://hdl.handle.net/10138/162427
Abstract: The mechanisms through which genes influence body weight are not well understood, but appetite has been implicated as one mediating pathway. Here we use data from two independent population-based Finnish cohorts (4632 adults aged 25-74 years from the DILGOM study and 1231 twin individuals aged 21-26 years from the FinnTwin12 study) to investigate whether two appetitive traits mediate the associations between known obesity-related genetic variants and adiposity. The results from structural equation modelling indicate that the effects of a polygenic risk score (90 obesity-related loci) on measured body mass index and waist circumference are partly mediated through higher levels of uncontrolled eating (beta(indirect) = 0.030-0.032, P <0.001 in DILGOM) and emotional eating (beta(indirect) = 0.020-0.022, P <0.001 in DILGOM and beta(indirect) = 0.013-0.015, P = 0.043-0.044 in FinnTwin12). Our findings suggest that genetic predispositions to obesity may partly exert their effects through appetitive traits reflecting lack of control over eating or eating in response to negative emotions. Obesity prevention and treatment studies should examine the impact of targeting these eating behaviours, especially among individuals having a high genetic predisposition to obesity.
Subject: BODY-MASS INDEX
3-FACTOR EATING QUESTIONNAIRE
ENERGY-INTAKE
WEIGHT CHANGE
RISK-FACTORS
FTO GENE
TWIN
ASSOCIATION
CHILDREN
WOMEN
3142 Public health care science, environmental and occupational health
3121 General medicine, internal medicine and other clinical medicine
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