Home
Deutsch
Advanced Search
Browse by ...
Publication overview
Contact persons
Help
DOI
PMC
 |
|
Open Access Green as soon as Postprint is submitted to ZB.
Molecular genetic analysis subdivided by adversity exposure suggests etiologic heterogeneity in major depression.
Am. J. Psychiatry 175, 545-554 (2018)
OBJECTIVE: The extent to which major depression is the outcome of a single biological mechanism or represents a final common pathway of multiple disease processes remains uncertain. Genetic approaches can potentially identify etiologic heterogeneity in major depression by classifying patients on the basis of their experience of major adverse events. METHOD: Data are from the China, Oxford, and VCU Experimental Research on Genetic Epidemiology (CONVERGE) project, a study of Han Chinese women with recurrent major depression aimed at identifying genetic risk factors for major depression in a rigorously ascertained cohort carefully assessed for key environmental risk factors (N=9,599). To detect etiologic heterogeneity, genome-wide association studies, heritability analyses, and gene-by-environment interaction analyses were performed. RESULTS: Genome-wide association studies stratified by exposure to adversity revealed three novel loci associated with major depression only in study participants with no history of adversity. Significant gene-by-environment interactions were seen between adversity and genotype at all three loci, and 13.2% of major depression liability can be attributed to genome-wide interaction with adversity exposure. The genetic risk in major depression for participants who reported major adverse life events (27%) was partially shared with that in participants who did not (73%; genetic correlation=+0.64). Together with results from simulation studies, these findings suggest etiologic heterogeneity within major depression as a function of environmental exposures. CONCLUSIONS: The genetic contributions to major depression may differ between women with and those without major adverse life events. These results have implications for the molecular dissection of major depression and other complex psychiatric and biomedical diseases.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Diagnosis And Classification ; Genetics ; Mood Disorders-unipolar
ISSN (print) / ISBN
0002-953X
e-ISSN
1535-7228
Quellenangaben
Volume: 175,
Issue: 6,
Pages: 545-554
Publisher
American Psychiatric Association
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Helmholtz Pioneer Campus (HPC)