| Literature DB >> 31782165 |
Tiffany Amariuta1,2,3,4,5, Yang Luo1,2,3,4, Rachel Knevel2,6, Yukinori Okada7,8, Soumya Raychaudhuri1,2,3,4,9.
Abstract
Rheumatoid arthritis (RA) risk has a large genetic component (~60%) that is still not fully understood. This has hampered the design of effective treatments that could promise lifelong remission. RA is a polygenic disease with 106 known genome-wide significant associated loci and thousands of small effect causal variants. Our current understanding of RA risk has suggested cell-type-specific contexts for causal variants, implicating CD4 + effector memory T cells, as well as monocytes, B cells and stromal fibroblasts. While these cellular states and categories are still mechanistically broad, future studies may identify causal cell subpopulations. These efforts are propelled by advances in single cell profiling. Identification of causal cell subpopulations may accelerate therapeutic intervention to achieve lifelong remission.Entities:
Keywords: arthritis; genetics; polygenic; rheumatoid; statistical
Year: 2019 PMID: 31782165 PMCID: PMC7047592 DOI: 10.1111/imr.12827
Source DB: PubMed Journal: Immunol Rev ISSN: 0105-2896 Impact factor: 12.988