Using genetics to understand the causal influence of higher BMI on depression
Author(s) -
Jessica Tyrrell,
Anwar Mulugeta,
Andrew R. Wood,
Ang Zhou,
Robin N. Beaumont,
Marcus A. Tuke,
Samuel E. Jones,
Katherine S. Ruth,
Hanieh Yaghootkar,
Seth A. Sharp,
William Thompson,
Yingjie Ji,
James Harrison,
Rachel M. Freathy,
Anna Murray,
Michael N. Weedon,
Cathryn M. Lewis,
Timothy M. Frayling,
Elina Hyppönen
Publication year - 2018
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyy223
Subject(s) - mendelian randomization , odds ratio , depression (economics) , body mass index , obesity , medicine , confidence interval , odds , demography , logistic regression , genetics , genotype , biology , genetic variants , sociology , macroeconomics , economics , gene
Depression is more common in obese than non-obese individuals, especially in women, but the causal relationship between obesity and depression is complex and uncertain. Previous studies have used genetic variants associated with BMI to provide evidence that higher body mass index (BMI) causes depression, but have not tested whether this relationship is driven by the metabolic consequences of BMI nor for differences between men and women.
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