ArticleeLife2019
Fine-mapping
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed, 79 citations in OpenAlex.
- Article
- Mapping enhancer-gene regulatory interactions from single-cell data.Nature genetics · 2026Article
- Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.Nature communications · 2026Article
- A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritability.bioRxiv : the preprint server for biology · 2026Article
- Autoimmune disease risk gene ANKRD55 promotes TH17 effector function through metabolic modulation.The Journal of experimental medicine · 2025Article
- Ultra-fast variant effect prediction using biophysical transcription factor binding models.Nucleic acids research · 2025Article
- Gene regulatory activity associated with polycystic ovary syndrome revealed DENND1A-dependent testosterone production.Nature communications · 2025Article
- Identification of functional non-coding variants associated with orofacial cleft.Nature communications · 2025Article
- Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanisms.Genome biology · 2025Article
- Multiomic QTL mapping reveals phenotypic complexity of GWAS loci and prioritizes putative causal variants.Cell genomics · 2025Article
- Eleven Grand Challenges for Inflammatory Bowel Disease Genetics and Genomics.Inflammatory bowel diseases · 2025Review
- Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.Nature neuroscience · 2024Review
- Cross-ancestry analysis of brain QTLs enhances interpretation of schizophrenia genome-wide association studies.American journal of human genetics · 2024Article
- Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanisms.bioRxiv : the preprint server for biology · 2024Article
- Addressing Technical Pitfalls in Pursuit of Molecular Factors That Mediate Immunoglobulin Gene Regulation.Journal of immunology (Baltimore, Md. : 1950) · 2024Article
- Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease.PLoS computational biology · 2024Article
- A Multilayered Post-Genome-Wide Association Study Analysis Pipeline Defines Functional Variants and Target Genes for Systemic Lupus Erythematosus.Arthritis & rheumatology (Hoboken, N.J.) · 2024Article
- Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantification.Nature genetics · 2024Article
- Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024Article
- Chromatin activity identifies differential gene regulation across human ancestries.Genome biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Genome-wide association studies (GWAS) are a powerful approach for connecting genotype to phenotype. Most GWAS hits are located in cis-regulatory regions, but the underlying causal variants and their molecular mechanisms remain unknown. To better understand human Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that minor issues remain unresolved (see decision letter).
Indexed as
Identifiers
What OpenQuestion holds
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.