4.6 Article

Molecular Genetic Analysis Subdivided by Adversity Exposure Suggests Etiologic Heterogeneity in Major Depression

Journal

AMERICAN JOURNAL OF PSYCHIATRY
Volume 175, Issue 6, Pages 545-554

Publisher

AMER PSYCHIATRIC PUBLISHING, INC
DOI: 10.1176/appi.ajp.2017.17060621

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Funding

  1. Wellcome Trust [WT090532/Z/09/Z, WT083573/Z/07/Z, WT089269/Z/09/Z]
  2. NIH [MH100549]
  3. European Bioinformatics Institute (EMBL-EBI)
  4. Wellcome Trust Sanger Institute
  5. NIMH [R21MH100560, R21AA022717]
  6. NIH T32 grant [MH020030]
  7. NIH K01 grant [AA021399]
  8. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [K25HL121295] Funding Source: NIH RePORTER
  9. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG006399] Funding Source: NIH RePORTER
  10. NATIONAL INSTITUTE OF MENTAL HEALTH [R21MH100560, T32MH020030, R01MH100549] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM [R21AA022717, K01AA021399] Funding Source: NIH RePORTER

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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 patientsonthe 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.

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