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

Chenglong Yu, M Arcos-Burgos, Julio Licinio, Ma-Li Wong

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article numbere1134
    Pages (from-to)Art: e1134
    Number of pages6
    JournalTranslational Psychiatry
    Volume7
    Issue number5
    DOIs
    Publication statusPublished - 2017

    Fingerprint Dive into the research topics of 'A latent genetic subtype of major depression identified by whole-exome genotyping data in a Mexican-American cohort'. Together they form a unique fingerprint.

  • Cite this