TY - JOUR
T1 - Relationship between obesity and the risk of clinically significant depression
T2 - Mendelian randomisation study
AU - Hung, Chi Fa
AU - Rivera, Margarita
AU - Craddock, Nick
AU - Owen, Michael J.
AU - Gill, Michael
AU - Korszun, Ania
AU - Maier, Wolfgang
AU - Mors, Ole
AU - Preisig, Martin
AU - Rice, John P.
AU - Rietschel, Marcella
AU - Jones, Lisa
AU - Middleton, Lefkos
AU - Aitchison, Kathy J.
AU - Davis, Oliver S.P.
AU - Breen, Gerome
AU - Lewis, Cathryn
AU - Farmer, Anne
AU - McGuffin, Peter
PY - 2014/7
Y1 - 2014/7
N2 - Background Obesity has been shown to be associated with depression and it has been suggested that higher body mass index (BMI) increases the risk of depression and other common mental disorders. However, the causal relationship remains unclear and Mendelian randomisation, a form of instrumental variable analysis, has recently been employed to attempt to resolve this issue. Aims To investigate whether higher BMI increases the risk of major depression. Method Two instrumental variable analyses were conducted to test the causal relationship between obesity and major depression in RADIANT, a large case-control study of major depression. We used a single nucleotide polymorphism (SNP) in FTO and a genetic risk score (GRS) based on 32 SNPs with well-established associations with BMI. Results Linear regression analysis, as expected, showed that individuals carrying more risk alleles of FTO or having higher score of GRS had a higher BMI. Probit regression suggested that higher BMI is associated with increased risk of major depression. However, our two instrumental variable analyses did not support a causal relationship between higher BMI and major depression (FTO genotype: coefficient 70.03, 95% CI 70.18 to 0.13, P = 0.73; GRS: coefficient 70.02, 95% CI 70.11 to 0.07, P = 0.62). Conclusions Our instrumental variable analyses did not support a causal relationship between higher BMI and major depression. The positive associations of higher BMI with major depression in probit regression analyses might be explained by reverse causality and/or residual confounding.
AB - Background Obesity has been shown to be associated with depression and it has been suggested that higher body mass index (BMI) increases the risk of depression and other common mental disorders. However, the causal relationship remains unclear and Mendelian randomisation, a form of instrumental variable analysis, has recently been employed to attempt to resolve this issue. Aims To investigate whether higher BMI increases the risk of major depression. Method Two instrumental variable analyses were conducted to test the causal relationship between obesity and major depression in RADIANT, a large case-control study of major depression. We used a single nucleotide polymorphism (SNP) in FTO and a genetic risk score (GRS) based on 32 SNPs with well-established associations with BMI. Results Linear regression analysis, as expected, showed that individuals carrying more risk alleles of FTO or having higher score of GRS had a higher BMI. Probit regression suggested that higher BMI is associated with increased risk of major depression. However, our two instrumental variable analyses did not support a causal relationship between higher BMI and major depression (FTO genotype: coefficient 70.03, 95% CI 70.18 to 0.13, P = 0.73; GRS: coefficient 70.02, 95% CI 70.11 to 0.07, P = 0.62). Conclusions Our instrumental variable analyses did not support a causal relationship between higher BMI and major depression. The positive associations of higher BMI with major depression in probit regression analyses might be explained by reverse causality and/or residual confounding.
UR - http://www.scopus.com/inward/record.url?scp=84904013630&partnerID=8YFLogxK
U2 - 10.1192/bjp.bp.113.130419
DO - 10.1192/bjp.bp.113.130419
M3 - Article
C2 - 24809401
AN - SCOPUS:84904013630
SN - 0007-1250
VL - 205
SP - 24
EP - 28
JO - British Journal of Psychiatry
JF - British Journal of Psychiatry
IS - 1
ER -