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      Evidence for gene-environment correlation in child feeding: Links between common genetic variation for BMI in children and parental feeding practices

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          Abstract

          The parental feeding practices (PFPs) of excessive restriction of food intake (‘restriction’) and pressure to increase food consumption (‘pressure’) have been argued to causally influence child weight in opposite directions (high restriction causing overweight; high pressure causing underweight). However child weight could also ‘elicit’ PFPs. A novel approach is to investigate gene-environment correlation between child genetic influences on BMI and PFPs. Genome-wide polygenic scores (GPS) combining BMI-associated variants were created for 10,346 children (including 3,320 DZ twin pairs) from the Twins Early Development Study using results from an independent genome-wide association study meta-analysis. Parental ‘restriction’ and ‘pressure’ were assessed using the Child Feeding Questionnaire. Child BMI standard deviation scores (BMI-SDS) were calculated from children’s height and weight at age 10. Linear regression and fixed family effect models were used to test between- (n = 4,445 individuals) and within-family (n = 2,164 DZ pairs) associations between the GPS and PFPs. In addition, we performed multivariate twin analyses (n = 4,375 twin pairs) to estimate the heritabilities of PFPs and the genetic correlations between BMI-SDS and PFPs. The GPS was correlated with BMI-SDS ( β = 0.20, p = 2.41x10 -38). Consistent with the gene-environment correlation hypothesis, child BMI GPS was positively associated with ‘restriction’ ( β = 0.05, p = 4.19x10 -4), and negatively associated with ‘pressure’ ( β = -0.08, p = 2.70x10 -7). These results remained consistent after controlling for parental BMI, and after controlling for overall family contributions (within-family analyses). Heritabilities for ‘restriction’ (43% [40–47%]) and ‘pressure’ (54% [50–59%]) were moderate-to-high. Twin-based genetic correlations were moderate and positive between BMI-SDS and ‘restriction’ (r A = 0.28 [0.23–0.32]), and substantial and negative between BMI-SDS and ‘pressure’ (r A = -0.48 [-0.52 - -0.44]. Results suggest that the degree to which parents limit or encourage children’s food intake is partly influenced by children’s genetic predispositions to higher or lower BMI. These findings point to an evocative gene-environment correlation in which heritable characteristics in the child elicit parental feeding behaviour.

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          It is widely believed that parents influence their child’s BMI via certain feeding practices. For example, rigid restriction has been argued to cause overweight, and pressuring to eat to cause underweight. However, recent longitudinal research has not supported this model. An alternative hypothesis is that child BMI, which has a strong genetic basis, evokes parental feeding practices (‘gene-environment correlation’). To test this, we applied two genetic methods in a large sample of 10-year-old children from the Twins Early Development Study: a polygenic score analysis (DNA-based score of common genetic variants associated with BMI in genome-wide meta-analyses), and a twin analysis (comparing resemblance between identical and non-identical twin pairs). Polygenic scores correlated positively with parental restriction of food intake (‘restriction’; β = 0.05, p = 4.19x10 -4), and negatively with parental pressure to increase food intake (‘pressure’; β = -0.08, p = 2.70x10 -7). Associations were unchanged after controlling for all genetic and environmental effects shared within families. Results from twin analyses were consistent. ‘Restriction’ (43%) and ‘pressure’ (54%) were substantially heritable, and a positive genetic correlation between child BMI and ‘restriction’ ( r A = 0.28), and negative genetic correlation between child BMI and ‘pressure’ ( r A = -0.48) emerged. These findings challenge the prevailing view that parental behaviours are the sole cause of child BMI by supporting an alternate hypothesis that child BMI also causes parental feeding behaviour.

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          Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness.

          The Child Feeding Questionnaire (CFQ) is a self-report measure to assess parental beliefs, attitudes, and practices regarding child feeding, with a focus on obesity proneness in children. Confirmatory factor analysis tested a 7-factor model, which included four factors measuring parental beliefs related to child's obesity proneness, and three factors measuring parental control practices and attitudes regarding child feeding. Using a sample of 394 mothers and fathers, three models were tested, and the third model confirmed an acceptable fit, including correlated factors. Internal consistencies for the seven factors were above 0.70. With minor changes, this same 7-factor model was also confirmed in a second sample of 148 mothers and fathers, and a third sample of 126 Hispanic mothers and fathers. As predicted, four of the seven factors were related to an independent measure of children's weight status, providing initial support for the validity of the instrument. The CFQ can be used to assess aspects of child-feeding perceptions, attitudes, and practices and their relationships to children's developing food acceptance patterns, the controls of food intake, and obesity. The CFQ is designed for use with parents of children ranging in age from about 2 to 11 years of age. Copyright 2000 Academic Press.
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            The nature of nurture: Effects of parental genotypes

            Sequence variants in the parental genomes that are not transmitted to a child (the proband) are often ignored in genetic studies. Here we show that nontransmitted alleles can affect a child through their impacts on the parents and other relatives, a phenomenon we call "genetic nurture." Using results from a meta-analysis of educational attainment, we find that the polygenic score computed for the nontransmitted alleles of 21,637 probands with at least one parent genotyped has an estimated effect on the educational attainment of the proband that is 29.9% (P = 1.6 × 10-14) of that of the transmitted polygenic score. Genetic nurturing effects of this polygenic score extend to other traits. Paternal and maternal polygenic scores have similar effects on educational attainment, but mothers contribute more than fathers to nutrition- and heath-related traits.
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              Variability in the Heritability of Body Mass Index: A Systematic Review and Meta-Regression

              Evidence for a major role of genetic factors in the determination of body mass index (BMI) comes from studies of related individuals. Despite consistent evidence for a heritable component of BMI, estimates of BMI heritability vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified 88 independent estimates of BMI heritability from twin studies (total 140,525 twins) and 27 estimates from family studies (42,968 family members). BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87) and were generally higher than those from family studies (range: 0.24–0.81; 5th/50th/95th centiles: 0.25/0.46/0.68). Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P = 0.001) higher in children than in adults; estimates increased with mean age among childhood studies (+0.012/year, P = 0.002), but decreased with mean age in adult studies (−0.002/year, P = 0.002). Heritability estimates derived from AE twin models (which assume no contribution of shared environment) were 0.12 higher than those from ACE models (P < 0.001), whilst lower estimates were associated with self reported versus DNA-based determination of zygosity (−0.04, P = 0.02), and with self reported versus measured BMI (−0.05, P = 0.03). Although the observed differences in heritability according to aspects of study design are relatively small, together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                20 November 2018
                November 2018
                : 14
                : 11
                : e1007757
                Affiliations
                [1 ] Institute of Psychiatry, Psychology and Neuroscience, MRC Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, United Kingdom
                [2 ] NIHR Biomedical Research Centre for Mental Health, South London and Maudsley NHS Trust, London, United Kingdom
                [3 ] Department of Psychiatry and Behavioral Sciences, Division of Child and Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
                [4 ] Department of Behavioural Science and Health, University College London, London, United Kingdom
                Newcastle University, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist

                Author information
                http://orcid.org/0000-0003-4985-8174
                http://orcid.org/0000-0002-6759-0944
                http://orcid.org/0000-0001-6200-3635
                http://orcid.org/0000-0002-0066-2827
                Article
                PGENETICS-D-18-00790
                10.1371/journal.pgen.1007757
                6245504
                30457987
                d67618f6-63b8-4c4a-8333-683773897cd5
                © 2018 Selzam et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 April 2018
                : 11 October 2018
                Page count
                Figures: 3, Tables: 0, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MR/M021475/1
                Award Recipient :
                Funded by: MRC/IoPPN Excellence Award
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100011722, Higher Education Funding Council for England;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100011102, Seventh Framework Programme;
                Award ID: FP7/2007-2013
                Award Recipient :
                Funded by: Wellcome Trust (GB)
                Award ID: 107706/Z/15/Z
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000272, National Institute for Health Research;
                Award Recipient :
                Funded by: GSTT Charity
                Award ID: TR130505
                Funded by: Maudsley Charity (GB)
                Award ID: 980
                We gratefully acknowledge the ongoing contribution of the participants in the Twins Early Development Study (TEDS) and their families. TEDS is supported by a program grant to RP from the UK Medical Research Council (MR/M021475/1 and previously G0901245), with additional support from the US National Institutes of Health (AG046938). The research leading to these results has also received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ grant agreement n° 602768 and ERC grant agreement n° 295366. RP is supported by a Medical Research Council Professorship award (G19/2). SS is supported by the MRC/IoPPN Excellence Award and by the US National Institutes of Health (AG046938). High performance computing facilities were funded with capital equipment grants from the GSTT Charity (TR130505) and Maudsley Charity (980). TAM is supported by a Sir Henry Dale Fellowship, jointly funded by the Wellcome Trust and the Royal Society (107706/Z/15/Z). This study represents independent research part-funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health. High performance computing facilities were funded with capital equipment grants from the GSTT Charity (TR130505) and Maudsley Charity (980). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Developmental Biology
                Twins
                Biology and Life Sciences
                Genetics
                Human Genetics
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                Psychology
                Behavior
                Parenting Behavior
                Social Sciences
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                Genetic Predisposition
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                Genome Analysis
                Genome-Wide Association Studies
                Biology and Life Sciences
                Genetics
                Human Genetics
                Genome-Wide Association Studies
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                Custom metadata
                The dataset analysed during the current study is restricted due to participant confidentially. Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. The Twins Early Development Study is a third party that owns the data, and information about data access is available here: https://www.teds.ac.uk/research/collaborators-and-data/teds-data-access-policy. Requests should be made via the data request form supplied, which are then reviewed by the TEDS Executive committee. Data will be made available on request to interested researchers in the same fashion in which it was made available to the authors, allowing data sharing for novel collaborations leading to new publications.

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