A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders

Harvey Wang, Martin Alda, Thomas Trappenberg, Abraham Nunes

Résultat de recherche: Review articleexamen par les pairs

1 Citation (Scopus)

Résumé

An improved understanding of genetic etiological heterogeneity in a psychiatric condition may help us (a) isolate a neurophysiological 'final common pathway' by identifying its upstream genetic origins and (b) facilitate characterization of the condition's phenotypic variation. This review aims to identify existing genetic heterogeneity measurements in the psychiatric literature and provides a conceptual review of their mechanisms, limitations, and assumptions. The Scopus database was searched for studies that quantified genetic heterogeneity or correlation of psychiatric phenotypes with human genetic data. Ninety studies were included. Eighty-seven reports quantified genetic correlation, five applied genomic structural equation modelling, three evaluated departure from the Hardy- Weinberg equilibrium at one or more loci, and two applied a novel approach known as MiXeR. We found no study that rigorously measured genetic etiological heterogeneity across a large number of markers. Developing such approaches may help better characterize the biological diversity of psychopathology.

Langue d'origineEnglish
Pages (de-à)1-8
Nombre de pages8
JournalPsychiatric Genetics
Volume32
Numéro de publication1
DOI
Statut de publicationPublished - févr. 1 2022

Note bibliographique

Publisher Copyright:
© 2021 Wolters Kluwer Health, Inc.

ASJC Scopus Subject Areas

  • Genetics
  • Genetics(clinical)
  • Psychiatry and Mental health
  • Biological Psychiatry

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Review

Empreinte numérique

Plonger dans les sujets de recherche 'A scoping review and comparison of approaches for measuring genetic heterogeneity in psychiatric disorders'. Ensemble, ils forment une empreinte numérique unique.

Citer