Examining Overweight and Obesity as Risk Factors for Common Mental Disorders Using Fat Mass and Obesity-Associated (FTO) Genotype-Instrumented Analysis

62Citations
Citations of this article
109Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Mendelian randomization approach exploits genetic variants to improve causal inference when using observational data. The authors examined the relation between long-term obesity and common mental disorders (CMD) by utilizing the known relation between fat mass and obesity-associated (FTO) genotype and body mass index (BMI; weight (kg)/height (m)2). Data collection in 2,981 men and 1,164 women (mean age at baseline = 44 years) from the Whitehall II Study (London, United Kingdom) included 4 repeated examinations of BMI and CMD over a 19-year follow-up period (1985-2004), plus an assessment of FTO polymorphism rs1421085. In men, there was an association of FTO genotype with all measures of adiposity (mean BMI, number of times obese, and, in nonobese persons, number of times overweight). FTO was also associated with CMD in men. This was independent of adiposity, thus potentially violating the exclusion restriction assumption. According to both conventional and FTO-instrumented regression analysis, measurement of obesity was associated with an increased occurrence of CMD. In the FTO-instrumented analysis only, higher BMI and overweight were also associated with CMD. In women, there was no link between FTO and adiposity. Mendelian randomization analyses supported the status of long-term obesity as a risk factor for CMD in men - a finding that should be interpreted cautiously because the function of the FTO gene is unknown. © 2011 The Author.

Cite

CITATION STYLE

APA

Kivimäki, M., Jokela, M., Hamer, M., Geddes, J., Ebmeier, K., Kumari, M., … Batty, G. D. (2011). Examining Overweight and Obesity as Risk Factors for Common Mental Disorders Using Fat Mass and Obesity-Associated (FTO) Genotype-Instrumented Analysis. American Journal of Epidemiology, 173(4), 421–429. https://doi.org/10.1093/aje/kwq444

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free