Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/118422
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Type: Journal article
Title: Quantifying between-cohort and between-sex genetic heterogeneity in major depressive disorder
Author: Trzaskowski, M.
Mehta, D.
Peyrot, W.
Hawkes, D.
Davies, D.
Howard, D.
Kemper, K.
Sidorenko, J.
Maier, R.
Ripke, S.
Mattheisen, M.
Baune, B.
Grabe, H.
Heath, A.
Jones, L.
Jones, I.
Madden, P.
McIntosh, A.
Breen, G.
Lewis, C.
et al.
Citation: American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, 2019; OnlinePubl(6):1-9
Publisher: Wiley
Issue Date: 2019
ISSN: 1552-4841
1552-485X
Statement of
Responsibility: 
Maciej Trzaskowski, Divya Mehta, Wouter J. Peyrot, David Hawkes, Daniel Davies ... ernhard T. Baune ... et al. (Major Depressive Disorder Working Group of the PsychiatricGenomics Consortium)
Abstract: Major depressive disorder (MDD) is clinically heterogeneous with prevalence rates twice as high in women as in men. There are many possible sources of heterogeneity in MDD most of which are not measured in a sufficiently comparable way across study samples. Here, we assess genetic heterogeneity based on two fundamental measures, between-cohort and between-sex heterogeneity. First, we used genome-wide association study (GWAS) summary statistics to investigate between-cohort genetic heterogeneity using the 29 research cohorts of the Psychiatric Genomics Consortium (PGC; N cases = 16,823, N controls = 25,632) and found that some of the cohort heterogeneity can be attributed to ascertainment differences (such as recruitment of cases from hospital vs. community sources). Second, we evaluated between-sex genetic heterogeneity using GWAS summary statistics from the PGC, Kaiser Permanente GERA, UK Biobank, and the Danish iPSYCH studies but did not find convincing evidence for genetic differences between the sexes. We conclude that there is no evidence that the heterogeneity between MDD data sets and between sexes reflects genetic heterogeneity. Larger sample sizes with detailed phenotypic records and genomic data remain the key to overcome heterogeneity inherent in assessment of MDD.
Keywords: Depression: genetic heterogeneity; LD score regression; MDD; sex differences
Rights: © 2019 Wiley Periodicals, Inc.
RMID: 0030108421
DOI: 10.1002/ajmg.b.32713
Grant ID: http://purl.org/au-research/grants/nhmrc/1078901
http://purl.org/au-research/grants/nhmrc/1087889
http://purl.org/au-research/grants/nhmrc/1113400
Appears in Collections:Genetics publications

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