Document Type

Article

Publication Date

2021

Keywords

JMG

JAX Source

Neuropsychopharmacology 2021; 46:86-97

PMID

32791514

DOI

https://doi.org/10.1038/s41386-020-00795-5

Grant

AA027435,AA018776,DA039841,DA042103

Abstract

Genome-wide association studies and other discovery genetics methods provide a means to identify previously unknown biological mechanisms underlying behavioral disorders that may point to new therapeutic avenues, augment diagnostic tools, and yield a deeper understanding of the biology of psychiatric conditions. Recent advances in psychiatric genetics have been made possible through large-scale collaborative efforts. These studies have begun to unearth many novel genetic variants associated with psychiatric disorders and behavioral traits in human populations. Significant challenges remain in characterizing the resulting disease-associated genetic variants and prioritizing functional follow-up to make them useful for mechanistic understanding and development of therapeutics. Model organism research has generated extensive genomic data that can provide insight into the neurobiological mechanisms of variant action, but a cohesive effort must be made to establish which aspects of the biological modulation of behavioral traits are evolutionarily conserved across species. Scalable computing, new data integration strategies, and advanced analysis methods outlined in this review provide a framework to efficiently harness model organism data in support of clinically relevant psychiatric phenotypes.

Comments

The authors thank Stephen Krasinski of The Jackson Laboratory for assistance with this manuscript.

This article is licensed under a Creative Commons Attribution 4.0 International License.

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