Genetic and phenotypic similarity across major psychiatric disorders: a systematic review and quantitative assessment.

Journal: Translational psychiatry

Volume: 14

Issue: 1

Year of Publication: 2024

Affiliated Institutions:  CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada. Imaging Genetics Center, Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA. Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, QC, Canada. CHU Sainte-Justine Azrieli Research Center, Université de Montréal, Montreal, QC, Canada. sebastien.jacquemont@umontreal.ca.

Abstract summary 

There is widespread overlap across major psychiatric disorders, and this is the case at different levels of observations, from genetic variants to brain structures and function and to symptoms. However, it remains unknown to what extent these commonalities at different levels of observation map onto each other. Here, we systematically review and compare the degree of similarity between psychiatric disorders at all available levels of observation. We searched PubMed and EMBASE between January 1, 2009 and September 8, 2022. We included original studies comparing at least four of the following five diagnostic groups: Schizophrenia, Bipolar Disorder, Major Depressive Disorder, Autism Spectrum Disorder, and Attention Deficit Hyperactivity Disorder, with measures of similarities between all disorder pairs. Data extraction and synthesis were performed by two independent researchers, following the PRISMA guidelines. As main outcome measure, we assessed the Pearson correlation measuring the degree of similarity across disorders pairs between studies and biological levels of observation. We identified 2975 studies, of which 28 were eligible for analysis, featuring similarity measures based on single-nucleotide polymorphisms, gene-based analyses, gene expression, structural and functional connectivity neuroimaging measures. The majority of correlations (88.6%) across disorders between studies, within and between levels of observation, were positive. To identify a consensus ranking of similarities between disorders, we performed a principal component analysis. Its first dimension explained 51.4% (95% CI: 43.2, 65.4) of the variance in disorder similarities across studies and levels of observation. Based on levels of genetic correlation, we estimated the probability of another psychiatric diagnosis in first-degree relatives and showed that they were systematically lower than those observed in population studies. Our findings highlight that genetic and brain factors may underlie a large proportion, but not all of the diagnostic overlaps observed in the clinic.

Authors & Co-authors:  Bourque Poulain Proulx Moreau Joober Forgeot d'Arc Huguet Jacquemont

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Polderman TJC, Benyamin B, de Leeuw CA, Sullivan PF, van Bochoven A, Visscher PM, et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat Genet. 2015;47:702–9. doi: 10.1038/ng.3285.
Authors :  8
Identifiers
Doi : 171
SSN : 2158-3188
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
United States