Autoimmune diseases - connecting risk alleles with molecular traits of the immune system

被引:141
|
作者
Gutierrez-Arcelus, Maria [1 ,2 ,3 ,4 ]
Rich, Stephen S. [5 ]
Raychaudhuri, Soumya [1 ,2 ,3 ,4 ,6 ,7 ,8 ]
机构
[1] Harvard Univ, Brigham & Womens Hosp, Div Genet, Dept Med,Med Sch, Boston, MA 02115 USA
[2] Harvard Univ, Brigham & Womens Hosp, Div Rheumatol Immunol & Allergy, Dept Med,Med Sch, Boston, MA 02115 USA
[3] Broad Inst, Program Med & Populat Genet, Cambridge, MA 02142 USA
[4] Partners Ctr Personalized Genet Med, Boston, MA 02115 USA
[5] Univ Virginia, Ctr Publ Hlth Genom, Charlottesville, VA 22908 USA
[6] Univ Manchester, Fac Med & Human Sci, Manchester M13 9PL, Lancs, England
[7] Karolinska Inst, Dept Med, SE-17177 Stockholm, Sweden
[8] Karolinska Univ, Hosp Solna, SE-17177 Stockholm, Sweden
基金
美国国家卫生研究院; 瑞士国家科学基金会;
关键词
INFLAMMATORY-BOWEL-DISEASE; GENOME-WIDE ASSOCIATION; LYMPHOID TYROSINE PHOSPHATASE; SUSCEPTIBILITY LOCI; GENE-EXPRESSION; PARTITIONING HERITABILITY; FUNCTIONAL ANNOTATION; RHEUMATOID-ARTHRITIS; REGULATORY VARIATION; SUPER-ENHANCERS;
D O I
10.1038/nrg.2015.33
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genome-wide strategies have driven the discovery of more than 300 susceptibility loci for autoimmune diseases. However, for almost all loci, understanding of the mechanisms leading to autoimmunity remains limited, and most variants that are likely to be causal are in non-coding regions of the genome. A critical next step will be to identify the in vivo and ex vivo immunophenotypes that are affected by risk variants. To do this, key cell types and cell states that are implicated in autoimmune diseases will need to be defined. Functional genomic annotations from these cell types and states can then be used to resolve candidate genes and causal variants. Together with longitudinal studies, this approach may yield pivotal insights into how autoimmunity is triggered.
引用
收藏
页码:160 / 174
页数:15
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