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A latent genetic subtype of major depression identified by whole-exome genotyping data in a Mexican-American cohort

Yu, Chunhui; Arcos-Burgos, Mauricio (Oscar); Licinio, Julio; Wong, Ma-Li

Description

Identifying data-driven subtypes of major depressive disorder (MDD) is an important topic of psychiatric research. Currently, MDD subtypes are based on clinically defined depression symptom patterns. Although a few data-driven attempts have been made to identify more homogenous subgroups within MDD, other studies have not focused on using human genetic data for MDD subtyping. Here we used a computational strategy to identify MDD subtypes based on single-nucleotide polymorphism genotyping data...[Show more]

dc.contributor.authorYu, Chunhui
dc.contributor.authorArcos-Burgos, Mauricio (Oscar)
dc.contributor.authorLicinio, Julio
dc.contributor.authorWong, Ma-Li
dc.date.accessioned2020-12-20T20:51:29Z
dc.date.available2020-12-20T20:51:29Z
dc.identifier.issn2158-3188
dc.identifier.urihttp://hdl.handle.net/1885/217794
dc.description.abstractIdentifying data-driven subtypes of major depressive disorder (MDD) is an important topic of psychiatric research. Currently, MDD subtypes are based on clinically defined depression symptom patterns. Although a few data-driven attempts have been made to identify more homogenous subgroups within MDD, other studies have not focused on using human genetic data for MDD subtyping. Here we used a computational strategy to identify MDD subtypes based on single-nucleotide polymorphism genotyping data from MDD cases and controls using Hamming distance and cluster analysis. We examined a cohort of Mexican-American participants from Los Angeles, including MDD patients (n=203) and healthy controls (n=196). The results in cluster trees indicate that a significant latent subtype exists in the Mexican-American MDD group. The individuals in this hidden subtype have increased common genetic substrates related to major depression and they also have more anxiety and less middle insomnia, depersonalization and derealisation, and paranoid symptoms. Advances in this line of research to validate this strategy in other patient groups of different ethnicities will have the potential to eventually be translated to clinical practice, with the tantalising possibility that in the future it may be possible to refine MDD diagnosis based on genetic data
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherNature Publishing Group
dc.sourceTranslational Psychiatry
dc.titleA latent genetic subtype of major depression identified by whole-exome genotyping data in a Mexican-American cohort
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume7
dc.date.issued2017
local.identifier.absfor060411 - Population, Ecological and Evolutionary Genetics
local.identifier.absfor170106 - Health, Clinical and Counselling Psychology
local.identifier.ariespublicationu5378827xPUB39
local.type.statusPublished Version
local.contributor.affiliationYu, Chunhui, South Australian Health and Medical Research Institute
local.contributor.affiliationArcos-Burgos, Mauricio (Oscar), College of Health and Medicine, ANU
local.contributor.affiliationLicinio, Julio, South Australian Health and Medical Research Institute
local.contributor.affiliationWong, Ma-Li, South Australian Health and Medical Research Institute
local.bibliographicCitation.issue5
local.identifier.doi10.1038/tp.2017.102
dc.date.updated2020-11-23T10:06:15Z
local.identifier.scopusID2-s2.0-85019457709
local.identifier.thomsonID000402332300007
CollectionsANU Research Publications

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