The association between lower educational attainment and depression owing to shared genetic effects? results in ∼25 000 subjects

Peyrot, W. J., Lee, S. H., Milaneschi, Y., Abdellaoui, A., Byrne, E. M., Esko, T., de Geus, E. J. C., Hemani, G., Hottenga, J. J., Kloiber, S., Levinson, D. F., Lucae, S., Martin, N. G., Medland, S. E., Metspalu, A., Milani, L., Noethen, M. M., Potash, J. B., Rietschel, M., Rietveld, C. A., Ripke, S., Shi, J., Willemsen, G., Zhu, Z., Boomsma, D. I., Wray, N. R., Penninx, B. W. J. H., Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium and Middeldorp, Christel (2015) The association between lower educational attainment and depression owing to shared genetic effects? results in ∼25 000 subjects. Molecular Psychiatry, 20 6: 735-743. doi:10.1038/mp.2015.50


Author Peyrot, W. J.
Lee, S. H.
Milaneschi, Y.
Abdellaoui, A.
Byrne, E. M.
Esko, T.
de Geus, E. J. C.
Hemani, G.
Hottenga, J. J.
Kloiber, S.
Levinson, D. F.
Lucae, S.
Martin, N. G.
Medland, S. E.
Metspalu, A.
Milani, L.
Noethen, M. M.
Potash, J. B.
Rietschel, M.
Rietveld, C. A.
Ripke, S.
Shi, J.
Willemsen, G.
Zhu, Z.
Boomsma, D. I.
Wray, N. R.
Penninx, B. W. J. H.
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium
Middeldorp, Christel
Title The association between lower educational attainment and depression owing to shared genetic effects? results in ∼25 000 subjects
Journal name Molecular Psychiatry   Check publisher's open access policy
ISSN 1476-5578
1359-4184
Publication date 2015-06-26
Year available 2015
Sub-type Article (original research)
DOI 10.1038/mp.2015.50
Open Access Status Not yet assessed
Volume 20
Issue 6
Start page 735
End page 743
Total pages 9
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Subject 1312 Molecular Biology
2738 Psychiatry and Mental health
2804 Cellular and Molecular Neuroscience
Abstract An association between lower educational attainment (EA) and an increased risk for depression has been confirmed in various western countries. This study examines whether pleiotropic genetic effects contribute to this association. Therefore, data were analyzed from a total of 9662 major depressive disorder (MDD) cases and 14 949 controls (with no lifetime MDD diagnosis) from the Psychiatric Genomics Consortium with additional Dutch and Estonian data. The association of EA and MDD was assessed with logistic regression in 15 138 individuals indicating a significantly negative association in our sample with an odds ratio for MDD 0.78 (0.75–0.82) per standard deviation increase in EA. With data of 884 105 autosomal common single-nucleotide polymorphisms (SNPs), three methods were applied to test for pleiotropy between MDD and EA: (i) genetic profile risk scores (GPRS) derived from training data for EA (independent meta-analysis on ~120 000 subjects) and MDD (using a 10-fold leave-one-out procedure in the current sample), (ii) bivariate genomic-relationship-matrix restricted maximum likelihood (GREML) and (iii) SNP effect concordance analysis (SECA). With these methods, we found (i) that the EA-GPRS did not predict MDD status, and MDD-GPRS did not predict EA, (ii) a weak negative genetic correlation with bivariate GREML analyses, but this correlation was not consistently significant, (iii) no evidence for concordance of MDD and EA SNP effects with SECA analysis. To conclude, our study confirms an association of lower EA and MDD risk, but this association was not because of measurable pleiotropic genetic effects, which suggests that environmental factors could be involved, for example, socioeconomic status.
Keyword Biochemistry & Molecular Biology
Neurosciences
Psychiatry
Biochemistry & Molecular Biology
Neurosciences & Neurology
Psychiatry
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID R01 MH059552
DA019951
U01 MH085520
R01 AA007535
MH061686
R01 MH072802
R01 AA014041
R01 MH081802
R01 MH060912
R01 MH066206
AA13320
RC2 MH089916
104036
DA12854
AA13321
AA10248
R01 AA013326
MH059552
R01 AG017917
R56 DA012854
MH66206
MH059541
R01 MH059541
076113
R01 AA013321
U01 DK066134
085475
G0701420
MH072802
MH060912
U54 LM008748
N01MH90003
R01 MH086026
RC2MH089916
R01 DA012854
R01 AA010249
G0000647
K08 DA019951
R01 MH059542
U54LM008748
R01 MH061686
MH075131
AA14041
MH059542
R37 DA005147
N01 MH090003
U54 RR020278
AA13326
R25 MH060482
R01 MH075131
R01 AA013320
MH081802
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
 
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