Document Type
Article
Publication Date
2021
Keywords
JMG
JAX Source
Neuropsychopharmacology 2021; 46:86-97
ISSN
1740-634X
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.
Recommended Citation
Reynolds T,
Johnson E,
Huggett S,
Bubier JA,
Palmer R,
Agrawal A,
Baker E,
Chesler E.
Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration. Neuropsychopharmacology 2021; 46:86-97
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.