Multiple measures of depression to enhance validity of major depressive disorder in the UK Biobank. Issue 2 (5th February 2021)

• Record Type: Journal Article
• Authors: Glanville, Kylie P.; Coleman, Jonathan R. I.; Howard, David M.; Pain, Oliver; Hanscombe, Ken B.; Jermy, Bradley; Arathimos, Ryan; Hübel, Christopher; Breen, Gerome; O'Reilly, Paul F.; Lewis, Cathryn M.
• Is Part Of: BJPsych open. Volume 7:Issue 2(2021)
• Publication Date: 2021-02-05
• Subjects: Depressive disorders, -- genetics, -- UK Biobank, -- classification, -- prospective health study; Psychiatry -- Periodicals; Mental health -- Periodicals; 616.89005
• DOI: 10.1192/bjo.2020.145
• Languages: English
• ISSNs: 2056-4724

Abstract

Abstract : Background: The UK Biobank contains data with varying degrees of reliability and completeness for assessing depression. A third of participants completed a Mental Health Questionnaire (MHQ) containing the gold-standard Composite International Diagnostic Interview (CIDI) criteria for assessing mental health disorders. Aims: To investigate whether multiple observations of depression from sources other than the MHQ can enhance the validity of major depressive disorder (MDD). Method: In participants who did not complete the MHQ, we calculated the number of other depression measures endorsed, for example from hospital episode statistics and interview data. We compared cases defined this way with CIDI-defined cases for several estimates: the variance explained by polygenic risk scores (PRS), area under the curve attributable to PRS, single nucleotide polymorphisms (SNPs)-based heritability and genetic correlations with summary statistics from the Psychiatric Genomics Consortium MDD genome-wide association study. Results: The strength of the genetic contribution increased with the number of measures endorsed. For example, SNP-based heritability increased from 7% in participants who endorsed only one measure of depression, to 21% in those who endorsed four or five measures of depression. The strength of the genetic contribution to cases defined by at least two measures approximated that for CIDI-defined cases. Most genetic correlations between UK Biobank and the Psychiatric Genomics Consortium MDD study exceeded 0.7, but there was variability between pairwise comparisons. Conclusions: Multiple measures of depression can serve as a reliable approximation for case status where the CIDI measure is not available, indicating sample size can be optimised using the entire suite of UK Biobank data.