The road to precision psychiatry: translating genetics into disease mechanisms
Open accessAbstract
Hundreds of genetic loci increasing risk for neuropsychiatric disorders have recently been identified. This success, perhaps paradoxically, has posed challenges for therapeutic development, which are amplified by the highly polygenic and pleiotropic nature of these genetic contributions. Success requires understanding the biological impact of single genetic variants and predicting their effects within an individual. Comprehensive functional genomic annotation of risk loci provides a framework for interpretation of neurobiological impact, requiring experimental validation with in vivo or in vitro model systems. Systems-level, integrative pathway analyses are beginning to elucidate the additive, polygenic contributions of risk variants on specific cellular, molecular, developmental, or circuit-level processes. Although most neuropsychiatric disease modeling has focused on genes disrupted by rare, large-effect-size mutations, common smaller-effect-size variants may also provide solid therapeutic targets to inform precision medicine approaches. Here we enumerate the promise and challenges of a genomics-driven approach to uncovering neuropsychiatric disease mechanisms and facilitating therapeutic development.
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The neurobiological mechanisms by which genetic variation confers risk for these disorders remain largely unknown.
“However, the neurobiological mechanisms through which genetic variation imparts risk, both individually and in aggregate, are still largely unknown (4–6).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [4]
Hundreds of genetic variants are robustly associated with ASD, SCZ, and BD, and thousands more likely contribute to their pathogenesis.
“Studies have identified hundreds of causal genetic variants robustly associated with these disorders, and thousands more that likely contribute to their pathogenesis (4).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [4]
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References 151 · Cited by 223
- Authors
- Gandal, M. J., Leppa, V., Won, H., Parikshak, N. N., & Geschwind, D. H.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Geschwind, Daniel H
- Venue
- Nature Neuroscience
- Published
- 2016-10-26
- Volume
- 19
- Issue
- 11
- Pages
- 1397-1407
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC9012265
- OpenAlex
- W2544315804
- Cited by
- 223
- References
- 151
- Citations by year
- 2026: 12 · 2025: 11 · 2024: 18 · 2023: 16 · 2022: 21 · 2021: 28 · 2020: 34 · 2019: 29 · 2018: 31 · 2017: 19 · 2016: 4
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Research Foundation
- National Research Foundation of Korea
- National Institutes of Health (5r01mh094714-04)
- National Institute of Mental Health (R01MH109912, R01-MH094714, F30MH099886, P50MH106438)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- precision psychiatry, neuropsychiatric disorders, genetic risk variants, polygenic risk, pleiotropy, functional genomic annotation, disease mechanisms, treatment development, common genetic variants, rare mutations, pathway analysis, model systems, therapeutic target
- MeSH terms
- Animals, Humans, Mutation, Psychotherapeutic Processes, Genetic Predisposition to Disease, Multifactorial Inheritance, Genome-Wide Association Study, Precision Medicine
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