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Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort

Herle, Moritz
De Stavola, Bianca L
Hübel, Christopher
Santos Ferreira, Diana L
Loos, Ruth J F
Bryant-Waugh, Rachel
Bulik, Cynthia M
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Published in Journal of Clinical Medicine. 2020, vol. 9, no. 4
Abstract Disordered eating (DE) is common and is associated with body mass index (BMI). We investigated whether genetic variants for BMI were associated with DE. Methods: BMI polygenic scores (PGS) were calculated for participants of the Avon Longitudinal Study of Parents and Children (ALSPAC; N = 8654) and their association with DE tested. Data on DE behaviors (e.g., binge eating and compensatory behaviors) were collected at ages 14, 16, 18 years, and DE cognitions (e.g., body dissatisfaction) at 14 years. Mediation analyses determined whether BMI mediated the association between the BMI-PGS and DE. Results: The BMI-PGS was positively associated with fasting (OR = 1.42, 95% CI = 1.25, 1.61), binge eating (OR = 1.28, 95% CI = 1.12, 1.46), purging (OR = 1.20, 95% CI = 1.02, 1.42), body dissatisfaction (Beta = 0.99, 95% CI = 0.77, 1.22), restrained eating (Beta = 0.14, 95% CI = 0.10, 1.17), emotional eating (Beta = 0.21, 95% CI = 0.052, 0.38), and negatively associated with thin ideal internalization (Beta = -0.15, 95% CI = -0.23, -0.07) and external eating (Beta = -0.19, 95% CI = -0.30, -0.09). These associations were mainly mediated by BMI. Conclusions: Genetic variants associated with BMI are also associated with DE. This association was mediated through BMI suggesting that weight potentially sits on the pathway from genetic liability to DE.
Keywords Avon Longitudinal Study of Parents and Children (ALSPAC)Body mass indexDisordered eating behaviorsDisordered eating cognitionsPolygenic scores
PMID: 32326247
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Research group Troubles de l'alimentation, des comportements alimentaires et autres troubles associés (996)
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ABDULKADIR, Mohamed et al. Polygenic Score for Body Mass Index Is Associated with Disordered Eating in a General Population Cohort. In: Journal of Clinical Medicine, 2020, vol. 9, n° 4. doi: 10.3390/jcm9041187 https://archive-ouverte.unige.ch/unige:151389

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Deposited on : 2021-05-03

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