Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression



Wray, Naomi R, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till MF
et al (show 208 more authors) (2018) Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. NATURE GENETICS, 50 (05). 668 - 681.

[img] Spreadsheet
SupplementaryTables.xlsx - Accepted Version

Download (614kB)
[img] Text
49266_2_merged_1517666628.pdf - Accepted Version

Download (13MB)
[img] Text
49266_2_supp_529250_p3dwj5_convrt.pdf - Accepted Version

Download (1MB)
[img] Text
49266_2_supp_529251_p3dwjw_convrt.pdf - Accepted Version

Download (4MB)
[img] Text
49266_2_supp_529994_p3kv13.pdf - Accepted Version

Download (749kB)

Abstract

Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.

Item Type: Article
Depositing User: Symplectic Admin
Date Deposited: 31 May 2018 06:16
Last Modified: 30 Nov 2020 14:11
DOI: 10.1038/s41588-018-0090-3
Related URLs:
URI: http://livrepository.liverpool.ac.uk/id/eprint/3021928