Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's disease
- PMID: 32341526
- PMCID: PMC7930801
- DOI: 10.1038/s41588-020-0610-9
Genetic identification of cell types underlying brain complex traits yields insights into the etiology of Parkinson's disease
Abstract
Genome-wide association studies have discovered hundreds of loci associated with complex brain disorders, but it remains unclear in which cell types these loci are active. Here we integrate genome-wide association study results with single-cell transcriptomic data from the entire mouse nervous system to systematically identify cell types underlying brain complex traits. We show that psychiatric disorders are predominantly associated with projecting excitatory and inhibitory neurons. Neurological diseases were associated with different cell types, which is consistent with other lines of evidence. Notably, Parkinson's disease was genetically associated not only with cholinergic and monoaminergic neurons (which include dopaminergic neurons) but also with enteric neurons and oligodendrocytes. Using post-mortem brain transcriptomic data, we confirmed alterations in these cells, even at the earliest stages of disease progression. Our study provides an important framework for understanding the cellular basis of complex brain maladies, and reveals an unexpected role of oligodendrocytes in Parkinson's disease.
Conflict of interest statement
Potential conflicts of interest
P.F.S. reports the following potentially competing financial interests. Current: Lundbeck (advisory committee, grant recipient). Past three years: Pfizer (scientific advisory board), Element Genomics (consultation fee), and Roche (speaker reimbursement). C.M. Bulik reports: Shire (grant recipient, Scientific Advisory Board member); Pearson and Walker (author, royalty recipient).
Figures
Similar articles
-
Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies.Lancet Neurol. 2019 Dec;18(12):1091-1102. doi: 10.1016/S1474-4422(19)30320-5. Lancet Neurol. 2019. PMID: 31701892 Free PMC article.
-
Molecular mechanisms of pathogenesis of Parkinson's disease.Int Rev Cell Mol Biol. 2010;281:229-66. doi: 10.1016/S1937-6448(10)81006-8. Int Rev Cell Mol Biol. 2010. PMID: 20460187 Review.
-
Single-cell spatial transcriptomic and translatomic profiling of dopaminergic neurons in health, aging, and disease.Cell Rep. 2024 Mar 26;43(3):113784. doi: 10.1016/j.celrep.2024.113784. Epub 2024 Feb 21. Cell Rep. 2024. PMID: 38386560
-
Common gene expression signatures in Parkinson's disease are driven by changes in cell composition.Acta Neuropathol Commun. 2020 Apr 21;8(1):55. doi: 10.1186/s40478-020-00932-7. Acta Neuropathol Commun. 2020. PMID: 32317022 Free PMC article.
-
Parkinson's disease.Lancet. 2015 Aug 29;386(9996):896-912. doi: 10.1016/S0140-6736(14)61393-3. Epub 2015 Apr 19. Lancet. 2015. PMID: 25904081 Review.
Cited by
-
Distinct Genetic Risk Profile in Aortic Stenosis Compared With Coronary Artery Disease.JAMA Cardiol. 2024 Nov 6:e243738. doi: 10.1001/jamacardio.2024.3738. Online ahead of print. JAMA Cardiol. 2024. PMID: 39504041
-
A burden of rare copy number variants in obsessive-compulsive disorder.Mol Psychiatry. 2024 Oct 27. doi: 10.1038/s41380-024-02763-7. Online ahead of print. Mol Psychiatry. 2024. PMID: 39463448
-
Decoding the mosaic of inflammatory bowel disease: Illuminating insights with single-cell RNA technology.Comput Struct Biotechnol J. 2024 Jul 11;23:2911-2923. doi: 10.1016/j.csbj.2024.07.011. eCollection 2024 Dec. Comput Struct Biotechnol J. 2024. PMID: 39421242 Free PMC article. Review.
-
Automatic substantia nigra segmentation with Swin-Unet in susceptibility- and T2-weighted imaging: application to Parkinson disease diagnosis.Quant Imaging Med Surg. 2024 Sep 1;14(9):6337-6351. doi: 10.21037/qims-24-27. Epub 2024 Aug 21. Quant Imaging Med Surg. 2024. PMID: 39281181 Free PMC article.
-
SnapHiC-G: identifying long-range enhancer-promoter interactions from single-cell Hi-C data via a global background model.Brief Bioinform. 2024 Jul 25;25(5):bbae426. doi: 10.1093/bib/bbae426. Brief Bioinform. 2024. PMID: 39222061 Free PMC article.
References
-
- Polderman TJC et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat. Genet. 47, 702–709 (2015). - PubMed
-
- Nagel M et al. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat. Genet. 50, 920–927 (2018). - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
