Autoimmune diseases - connecting risk alleles with molecular traits of the immune system.
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Abstract | 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. |
Year of Publication | 2016
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Journal | Nat Rev Genet
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Volume | 17
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Issue | 3
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Pages | 160-74
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Date Published | 2016 Mar
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ISSN | 1471-0064
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URL | |
DOI | 10.1038/nrg.2015.33
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PubMed ID | 26907721
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PubMed Central ID | PMC4896831
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Links | |
Grant list | U19 AI111224 / AI / NIAID NIH HHS / United States
U19 AI111224‑01 / AI / NIAID NIH HHS / United States
U01 GM092691 / GM / NIGMS NIH HHS / United States
5U01GM092691‑05 / GM / NIGMS NIH HHS / United States
R01 AR063759 / AR / NIAMS NIH HHS / United States
R01 AR062886 / AR / NIAMS NIH HHS / United States
UH2 AR067677 / AR / NIAMS NIH HHS / United States
1UH2AR067677‑01 / AR / NIAMS NIH HHS / United States
1R01AR063759 / AR / NIAMS NIH HHS / United States
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