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

被引:146
作者
Tyrrell, Jessica [1 ]
Mulugeta, Anwar [2 ]
Wood, Andrew R. [1 ]
Zhou, Ang [2 ]
Beaumont, Robin N. [1 ]
Tuke, Marcus A. [1 ]
Jones, Samuel E. [1 ]
Ruth, Katherine S. [1 ]
Yaghootkar, Hanieh [1 ]
Sharp, Seth [1 ]
Thompson, William D. [1 ]
Ji, Yingjie [1 ]
Harrison, Jamie [1 ]
Freathy, Rachel M. [1 ]
Murray, Anna [1 ]
Weedon, Michael N. [1 ]
Lewis, Cathryn [3 ]
Frayling, Timothy M. [1 ]
Hypponen, Elina [2 ]
机构
[1] Univ Exeter, Royal Devon & Exeter Hosp, Med Sch, Genet Complex Traits, Exeter, Devon, England
[2] Univ South Australia, Canc Res Inst, Australian Ctr Precis Hlth, GPO Box 2471, Adelaide, SA 5001, Australia
[3] Kings Coll London, Social Genet & Dev Psychiat Ctr, Inst Psychiat Psychol & Neurosci, London, England
基金
英国惠康基金; 英国医学研究理事会; 欧洲研究理事会;
关键词
Body mass index; depression; Mendelian randomization; UK Biobank; BODY-MASS INDEX; GENOME-WIDE ASSOCIATION; MENDELIAN RANDOMIZATION; MENTAL-DISORDERS; FAVORABLE ADIPOSITY; LOWER RISK; OBESITY; INSTRUMENTS; WEIGHT; LOCI;
D O I
10.1093/ije/dyy223
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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/m(2)) 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/m(2)) 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.
引用
收藏
页码:834 / 848
页数:15
相关论文
共 46 条
[1]   Why is depression more prevalent in women? [J].
Albert, Paul R. .
JOURNAL OF PSYCHIATRY & NEUROSCIENCE, 2015, 40 (04) :219-221
[2]   Does Depression Cause Obesity? A Meta-analysis of Longitudinal Studies of Depression and Weight Control [J].
Blaine, Bruce .
JOURNAL OF HEALTH PSYCHOLOGY, 2008, 13 (08) :1190-1197
[3]   Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic [J].
Bowden, Jack ;
Del Greco, Fabiola M. ;
Minelli, Cosetta ;
Smith, George Davey ;
Sheehan, Nuala A. ;
Thompson, John R. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (06) :1961-1974
[4]   Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator [J].
Bowden, Jack ;
Smith, George Davey ;
Haycock, Philip C. ;
Burgess, Stephen .
GENETIC EPIDEMIOLOGY, 2016, 40 (04) :304-314
[5]   Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression [J].
Bowden, Jack ;
Smith, George Davey ;
Burgess, Stephen .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) :512-525
[6]   Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma [J].
Chambers, John C. ;
Zhang, Weihua ;
Sehmi, Joban ;
Li, Xinzhong ;
Wass, Mark N. ;
Van der Harst, Pim ;
Holm, Hilma ;
Sanna, Serena ;
Kavousi, Maryam ;
Baumeister, Sebastian E. ;
Coin, Lachlan J. ;
Deng, Guohong ;
Gieger, Christian ;
Heard-Costa, Nancy L. ;
Hottenga, Jouke-Jan ;
Kuehnel, Brigitte ;
Kumar, Vinod ;
Lagou, Vasiliki ;
Liang, Liming ;
Luan, Jian'an ;
Vidal, Pedro Marques ;
Leach, Irene Mateo ;
O'Reilly, Paul F. ;
Peden, John F. ;
Rahmioglu, Nilufer ;
Soininen, Pasi ;
Speliotes, Elizabeth K. ;
Yuan, Xin ;
Thorleifsson, Gudmar ;
Alizadeh, Behrooz Z. ;
Atwood, Larry D. ;
Borecki, Ingrid B. ;
Brown, Morris J. ;
Charoen, Pimphen ;
Cucca, Francesco ;
Das, Debashish ;
de Geus, Eco J. C. ;
Dixon, Anna L. ;
Doering, Angela ;
Ehret, Georg ;
Eyjolfsson, Gudmundur I. ;
Farrall, Martin ;
Forouhi, Nita G. ;
Friedrich, Nele ;
Goessling, Wolfram ;
Gudbjartsson, Daniel F. ;
Harris, Tamara B. ;
Hartikainen, Anna-Liisa ;
Heath, Simon ;
Hirschfield, Gideon M. .
NATURE GENETICS, 2011, 43 (11) :1131-1138
[7]  
Chinn S, 2000, STAT MED, V19, P3127, DOI 10.1002/1097-0258(20001130)19:22<3127::AID-SIM784>3.3.CO
[8]  
2-D
[9]   Scaling-up treatment of depression and anxiety: a global return on investment analysis [J].
Chisholm, Dan ;
Sweeny, Kim ;
Sheehan, Peter ;
Rasmussen, Bruce ;
Smit, Filip ;
Cuijpers, Pim ;
Saxena, Shekhar .
LANCET PSYCHIATRY, 2016, 3 (05) :415-424
[10]   A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone-Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation [J].
Coviello, Andrea D. ;
Haring, Robin ;
Wellons, Melissa ;
Vaidya, Dhananjay ;
Lehtimaki, Terho ;
Keildson, Sarah ;
Lunetta, Kathryn L. ;
He, Chunyan ;
Fornage, Myriam ;
Lagou, Vasiliki ;
Mangino, Massimo ;
Onland-Moret, N. Charlotte ;
Chen, Brian ;
Eriksson, Joel ;
Garcia, Melissa ;
Mei, Yong ;
Koster, Annemarie ;
Lohman, Kurt ;
Lyytikainen, Leo-Pekka ;
Petersen, Ann-Kristin ;
Prescott, Jennifer ;
Stolk, Lisette ;
Vandenput, Liesbeth ;
Wood, Andrew R. ;
Zhuang, Wei Vivian ;
Ruokonen, Aimo ;
Hartikainen, Anna-Liisa ;
Pouta, Anneli ;
Bandinelli, Stefania ;
Biffar, Reiner ;
Brabant, Georg ;
Cox, David G. ;
Chen, Yuhui ;
Cummings, Steven ;
Ferrucci, Luigi ;
Gunter, Marc J. ;
Hankinson, Susan E. ;
Martikainen, Hannu ;
Hofman, Albert ;
Homuth, Georg ;
Illig, Thomas ;
Jansson, John-Olov ;
Johnson, Andrew D. ;
Karasik, David ;
Karlsson, Magnus ;
Kettunen, Johannes ;
Kiel, Douglas P. ;
Kraft, Peter ;
Liu, Jingmin ;
Ljunggren, Osten .
PLOS GENETICS, 2012, 8 (07)