LEVERAGING MULTIVARIATE GENOMIC METHODS TO ANSWER LONGSTANDING QUESTIONS IN PSYCHIATRY

Do common sets of etiological mechanisms underly risk for diagnostically and phenomenologically distinct mental disorders? Do mental disorders represent extreme manifestations of continuous traits or qualitatively distinct entities with unique genetic causes? Do mental and behavioral traits constitute coherent entities with etiological mechanisms that operate uniformly on their constituent components? These questions have been the topics of considerable inquiry and debate through much of the 20th and 21st centuries. I provide a historical and conceptual overview of these topics. I then describe how researchers are now applying multivariate methods to data from genome wide association studies to provide rigorous answers to these longstanding questions.

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Publication Details

Journal
European Neuropsychopharmacology
Published
2026-09-21
DOI
https://doi.org/10.1016/j.euroneuro.2026.112975
Primary Topic
Genetic Associations and Epidemiology
Type
article
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article

LEVERAGING MULTIVARIATE GENOMIC METHODS TO ANSWER LONGSTANDING QUESTIONS IN PSYCHIATRY

Elliot Tucker-Drob
European Neuropsychopharmacology
Genetic Associations and Epidemiology
article

LEVERAGING MULTIVARIATE GENOMIC METHODS TO ANSWER LONGSTANDING QUESTIONS IN PSYCHIATRY

Elliot Tucker-Drob
article en

Abstract

Do common sets of etiological mechanisms underly risk for diagnostically and phenomenologically distinct mental disorders? Do mental disorders represent extreme manifestations of continuous traits or qualitatively distinct entities with unique genetic causes? Do mental and behavioral traits constitute coherent entities with etiological mechanisms that operate uniformly on their constituent components? These questions have been the topics of considerable inquiry and debate through much of the 20th and 21st centuries. I provide a historical and conceptual overview of these topics. I then describe how researchers are now applying multivariate methods to data from genome wide association studies to provide rigorous answers to these longstanding questions.

European NeuropsychopharmacologyVol. 111
The University of Texas at Austin (US)
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
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