Using genetics to understand the causal influence of higher BMI on depression

Author:

Tyrrell Jessica1ORCID,Mulugeta Anwar2,Wood Andrew R1,Zhou Ang2,Beaumont Robin N1,Tuke Marcus A1,Jones Samuel E1,Ruth Katherine S1,Yaghootkar Hanieh1,Sharp Seth1,Thompson William D1,Ji Yingjie1,Harrison Jamie1,Freathy Rachel M1,Murray Anna1,Weedon Michael N1,Lewis Cathryn3,Frayling Timothy M1,Hyppönen Elina2

Affiliation:

1. Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK

2. Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia

3. Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK

Abstract

Abstract Background 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. Methods We performed a Mendelian randomization study using 48 791 individuals with depression and 291 995 controls in the UK Biobank, to test for causal effects of higher BMI on depression (defined using self-report and Hospital Episode data). We used two genetic instruments, both representing higher BMI, but one with and one without its adverse metabolic consequences, in an attempt to ‘uncouple’ the psychological component of obesity from the metabolic consequences. We further tested causal relationships in men and women separately, and using subsets of BMI variants from known physiological pathways. Results Higher BMI was strongly associated with higher odds of depression, especially in women. Mendelian randomization provided evidence that higher BMI partly causes depression. Using a 73-variant BMI genetic risk score, a genetically determined one standard deviation (1 SD) higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals [odds ratio (OR): 1.18, 95% confidence interval (CI): 1.09, 1.28, P = 0.00007) and women only (OR: 1.24, 95% CI: 1.11, 1.39, P = 0.0001). Meta-analysis with 45 591 depression cases and 97 647 controls from the Psychiatric Genomics Consortium (PGC) strengthened the statistical confidence of the findings in all individuals. Similar effect size estimates were obtained using different Mendelian randomization methods, although not all reached P < 0.05. Using a metabolically favourable adiposity genetic risk score, and meta-analysing data from the UK biobank and PGC, a genetically determined 1 SD higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals (OR: 1.26, 95% CI: 1.06, 1.50], P = 0.010), but with weaker statistical confidence. Conclusions Higher BMI, with and without its adverse metabolic consequences, is likely to have a causal role in determining the likelihood of an individual developing depression.

Funder

Diabetes Research and Wellness Foundation Fellowship

Australian Research Training Program Scholarship

Medical Research Council

Wellcome Trust Institutional Strategic Support Award

European Research Council

Wellcome Trust

Royal Society

Wellcome Trust and Royal Society

Gillings Family Foundation

Diabetes UK RD Lawrence

National Institute for Health Research

NIHR

Biomedical Research Centre

NHS

Foundation Trust and King’s College London

Department of Health and Social Care

Publisher

Oxford University Press (OUP)

Subject

General Medicine,Epidemiology

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