Linking Genome-Wide Association Studies to Pharmacological Treatments for Psychiatric Disorders
In this bioinformatic study, the relatively low degree of correspondence across modalities suggests that the genetic architecture driving the risk for psychiatric disorders may be distinct from the pathophysiological mechanisms currently used for targeting symptom manifestations through pharmacological treatments. Novel approaches incorporating insights derived from GWAS based on refined phenotypes including treatment response may assist in mapping disorder risk genes to pharmacological treatments in the long term.
Authors
- Ken C. Pang (ORCID: https://orcid.org/0000-0002-6881-775X)
- Alex Fornito (ORCID: https://orcid.org/0000-0001-9134-480X)
- Mark A. Bellgrove (ORCID: https://orcid.org/0000-0003-0186-8349)
- Janette Tong (ORCID: https://orcid.org/0000-0002-3269-1438)
- Aurina Arnatkevičiūtė (ORCID: https://orcid.org/0000-0003-4098-7084)
- Ben Fulcher (ORCID: https://orcid.org/0000-0002-3003-4055)
Institutions
- The University of Sydney (AU)
- Royal Children's Hospital (AU)
- Murdoch Children's Research Institute (AU)
- Monash University (AU)
Publication Details
- Journal
- JAMA Psychiatry
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1001/jamapsychiatry.2024.3846
- Citations
- 6
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 3.30