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Advances in genetics toward identifying pathogenic cell states of rheumatoid arthritis
Author(s) -
Amariuta Tiffany,
Luo Yang,
Knevel Rachel,
Okada Yukinori,
Raychaudhuri Soumya
Publication year - 2020
Publication title -
immunological reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.839
H-Index - 223
eISSN - 1600-065X
pISSN - 0105-2896
DOI - 10.1111/imr.12827
Subject(s) - rheumatoid arthritis , biology , effector , disease , genome wide association study , cell type , genetics , cell , immunology , computational biology , bioinformatics , medicine , gene , single nucleotide polymorphism , genotype , pathology
Summary 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.