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

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,...

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Autores:
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/21424
Acceso en línea:
https://doi.org/10.1038/tp.2017.102
https://repository.urosario.edu.co/handle/10336/21424
Palabra clave:
aged
anxiety
California
clinical practice
cohort analysis
depersonalization
ethnicity
insomnia
major clinical study
major depression
male
Mexican American
paranoia
single nucleotide polymorphism
whole exome sequencing
anxiety disorder
classification
clinical trial
cluster analysis
depersonalization
ethnology
exome
genetics
genotype
insomnia
major depression
paranoia
single nucleotide polymorphism
young adult
Aged
Anxiety Disorders
Cluster Analysis
Depersonalization
Exome
Genotype
Los Angeles
Male
Mexican Americans
Paranoid Behavior
Sleep Initiation and Maintenance Disorders
Young Adult
Depresión
Enfermedades
adult
Article
controlled study
female
human
middle aged
Adult
Female
Humans
Middle Aged
Single Nucleotide
Major
Depressive Disorder
Polymorphism
Drepresión
Trastorno depresivo
Rights
License
Abierto (Texto Completo)
Description
Summary: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 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. © 2017 The Author(s).