| Title: | Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes |
| Journal: | Communications Biology |
| Published: | 30 Mar 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36997638/ |
| DOI: | https://doi.org/10.1038/s42003-023-04713-5 |
| URL: | https://www.nature.com/articles/s42003-023-04713-5.pdf |
| Citations: | 7 (7 in last 2 years) as of 8 Aug 2024 |
Publication 12197
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Abstract
Genome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems. MS-GWAS associations are significantly enriched in regulatory regions of microglia and peripheral immune cell subtypes, especially B cells and monocytes. Cell-specific polygenic risk scores were developed to examine the cumulative impact of the susceptibility genes on MS risk and clinical phenotypes, showing significant associations with risk and brain white matter volume. The findings reveal enrichment of GWAS signals in B cell and monocyte/microglial cell-types, consistent with the known pathology and presumed targets of effective MS therapeutics.</p>
8 Authors
- Qin Ma
- Hengameh Shams
- Alessandro Didonna
- Sergio E. Baranzini
- Bruce A. C. Cree
- Stephen L. Hauser
- Roland G. Henry
- Jorge R. Oksenberg
1 Application
| Application ID | Title |
|---|---|
| 59309 | Polygenic Prediction of Susceptibility and Progression in Multiple Sclerosis |
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