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

2.50
Hdl Handle:
http://hdl.handle.net/11287/620845
Title:
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Authors:
Wray, N. R. [et al]; Mill, Jonathan
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.
Citation:
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics 2018 50(5) 668-681
Publisher:
Nature
Journal:
Nature Genetics
Issue Date:
May-2018
URI:
http://hdl.handle.net/11287/620845
PubMed ID:
29700475
Additional Links:
http://dx.doi.org/10.1038/s41588-018-0090-3
Type:
Journal Article
Language:
en
Appears in Collections:
Honorary contracts publications; 2018 RD&E publications

Full metadata record

DC FieldValue Language
dc.contributor.authorWray, N. R. [et al]en
dc.contributor.authorMill, Jonathan-
dc.date.accessioned2018-10-04T09:35:15Z-
dc.date.available2018-10-04T09:35:15Z-
dc.date.issued2018-05-
dc.identifier.citationGenome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics 2018 50(5) 668-681en
dc.identifier.pmid29700475-
dc.identifier.urihttp://hdl.handle.net/11287/620845-
dc.description.abstractMajor 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.en
dc.language.isoenen
dc.publisherNatureen
dc.relation.urlhttp://dx.doi.org/10.1038/s41588-018-0090-3en
dc.subjectWessex Classification Subject Headings::Mental healthen
dc.subjectWessex Classification Subject Headings::Oncology. Pathology.::Geneticsen
dc.titleGenome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depressionen
dc.typeJournal Articleen
dc.identifier.journalNature Geneticsen
dc.type.versionPublisheden

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