ArticleNature2015
Genetic and epigenetic fine mapping of causal autoimmune disease variants.
Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,159 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1,159 citing papers in PubMed, 5 syntheses or guidelines pooled it, 2,124 citations in OpenAlex.
- Cross-ancestry genome-wide association studies of liver function biomarkers uncover pleiotropic variants, systemic disease links and therapeutic targets.Genome medicine · 2026Pooled it
- Familial and genetic overlap between Sjögren's disease and other autoimmune diseases.Frontiers in immunology · 2026Pooled it
- Integrative Genome-wide Association Meta-analysis of Aortic Aneurysm and Dissection Identifies Five Novel Genes.Genomics, proteomics & bioinformatics · 2025Pooled it
- Variants in the DDX6-CXCR5 autoimmune disease risk locus influence the regulatory network in immune cells and salivary gland.Annals of the rheumatic diseases · 2025Pooled it
- Mitochondrial dysfunction gene expression, DNA methylation, and inflammatory cytokines interaction activate Alzheimer's disease: a multi-omics Mendelian randomization study.Journal of translational medicine · 2024Pooled it
- Deciphering the interplay between serum urate and bone mineral density: insights from observational and genetic perspectives.Journal of the International Society of Sports Nutrition · 2026Article
- Shared genetics of IgA nephropathy and cardiometabolic diseases revealed by integrative genomic analysis.Renal failure · 2026Article
- Multi-organ imaging genetics: towards an integrated view of brain, body and brain diseases.Nature reviews. Neurology · 2026Review
- Cross-scale genetic analysis prioritizes shared regulatory variation, cell-type contributions, co-expression programs, and exon-level patterns in atopic dermatitis and asthma.Functional & integrative genomics · 2026Article
- Single-cell Transcriptomics in Autoimmune Diseases: Mechanistic Insights, Cross-disease Convergence, and Translational Challenges in Rheumatoid Arthritis, Systemic Lupus Erythematosus, Type 1 Diabetes, and Multiple Sclerosis.Clinical reviews in allergy & immunology · 2026Review
- Genetic Risk in Multiple Sclerosis: Susceptibility, Modifiers and Unresolved Questions.Neurology and therapy · 2026Review
- Single-Nucleus Multi-Omic Atlas Maps Regulatory Architecture and Non-Coding Variant Effects across Adult Human Tissues.bioRxiv : the preprint server for biology · 2026Article
- Efficient differential expression analysis of large-scale single-cell transcriptomics data using Dreamlet.Nature communications · 2026Article
- Shared non-HLA genetic architecture across diverse ancestries links insulin secretion and resistance to type 1 diabetes.Diabetologia · 2026Article
- Rare variant analysis of whole genome sequenced juvenile idiopathic arthritis multiplex pedigrees identifies rare variants in NOD2 and ACVR1.G3 (Bethesda, Md.) · 2026Article
- Where risk resides.Nature immunology · 2026Article
- From Genome-Wide Association Study Signal to Mechanism in Rheumatoid Arthritis: Lessons From a Single Risk Locus.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
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Authors and funding
21 authors at 5 institutions in 1 country.
Funding
Abstract
Genome-wide association studies have identified loci underlying human diseases, but the causal nucleotide changes and mechanisms remain largely unknown. Here we developed a fine-mapping algorithm to identify candidate causal variants for 21 autoimmune diseases from genotyping data. We integrated these predictions with transcription and cis-regulatory element annotations, derived by mapping RNA and chromatin in primary immune cells, including resting and stimulated CD4(+) T-cell subsets, regulatory T cells, CD8(+) T cells, B cells, and monocytes. We find that ∼90% of causal variants are non-coding, with ∼60% mapping to immune-cell enhancers, many of which gain histone acetylation and transcribe enhancer-associated RNA upon immune stimulation. Causal variants tend to occur near binding sites for master regulators of immune differentiation and stimulus-dependent gene activation, but only 10-20% directly alter recognizable transcription factor binding motifs. Rather, most non-coding risk variants, including those that alter gene expression, affect non-canonical sequence determinants not well-explained by current gene regulatory models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.