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Genetic Relationship Between Depression and Body Mass Index

Published online by Cambridge University Press:  15 April 2020

M. Rivera
Affiliation:
Department of Psychiatry, University Hospital San Cecilio, Granada, Spain
A.E. Locke
Affiliation:
Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, USA
T. Corre
Affiliation:
Department of Medical Genetics, University of Lausanne and Swiss Institute of Bioinformatics, Lausanne, Switzerland
D. Czamara
Affiliation:
Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
C. Wolf
Affiliation:
Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
A. Ching-Lopez
Affiliation:
Department of Psychiatry, School of Medicine University of Granada, Granada, Spain
Y. Milaneschi
Affiliation:
Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center/GGZ inGeest, Amsterdam, Netherlands
S. Kloiber
Affiliation:
Department of Clinical Research, Max-Planck-Institute of Psychiatry, Munich, Germany
D.I. Boomsma
Affiliation:
Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
B. Müller-Myhsok
Affiliation:
Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
B.W.J.H. Penninx
Affiliation:
Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center/GGZ inGeest Amsterdam, Amsterdam, Netherlands
M. Preisig
Affiliation:
Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
A.E. Farmer
Affiliation:
MRC SGDP Centre, Institute of Psychiatry King´s College London, London, United Kingdom
C.M. Lewis
Affiliation:
MRC SGDP Centre, Institute of Psychiatry King´s College London, London, United Kingdom
G. Breen
Affiliation:
MRC SGDP Centre, Institute of Psychiatry King´s College London, London, United Kingdom
P. McGuffin
Affiliation:
MRC SGDP Centre, Institute of Psychiatry King´s College London, London, United Kingdom

Abstract

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Introduction

Depression and obesity are highly prevalent major public health problems that frequently co-occur. Shared aetiological factors have been found between depression and obesity. The role of the fat mass and obesity associated (FTO) gene in body mass index (BMI) and obesity has been confirmed in many independent studies. Recently, we reported the first study implicating FTO in the association between depression and obesity.

Objectives

We aimed to confirm these findings by investigating the FTO rs9939609 polymorphism in a meta-analysis of 13,701 individuals.

Methods

The sample consists of 6,902 depressed cases and 6,799 controls from five studies (Radiant, PsyCoLaus, GSK, MARS and NESDA/NTR). Common inclusion criteria were information available on a lifetime DSM-IV diagnosis of major depressive disorder (MDD), BMI and genotype data. Linear regression models for quantitative traits assuming an additive genetic model were performed to test for association and interaction between rs9939609, BMI and depression. Fixed and random-effects meta-analyses were performed.

Results

Fixed-effects meta-analyses support a significant association between rs9939609 polymorphism and BMI (whole-sample: ß=0.07, p=1.29×10-12, depressive-cases: ß=0.12, p=6.92×10-12). No association was found in controls (ß=0.02, p=0.15). Meta-analyses further support a significant interaction between FTO, BMI and depression (fixed-effects: ß=0.13, p=3.087×10-7; random-effects: ß=0.12, p=0.027), wherein depressed carriers of the risk allele have an additional increase of 2.2% in BMI.

Conclusions

This meta-analysis demonstrates a significant interaction between FTO, depression and BMI, indicating that depression increases the effect of FTO on BMI. Depression-related alterations in key biological processes may interact with the rs9939609 FTO risk allele to increase obesity risk.

Type
Article: 0710
Copyright
Copyright © European Psychiatric Association 2015
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