ReviewNature reviews. Genetics2018
From genome-wide associations to candidate causal variants by statistical fine-mapping.
Review in Nature reviews. Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 566 papers, 6 of them syntheses that pooled it.
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
566 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Global Genetic Variation in Circulating 25-Hydroxyvitamin D: A Systematic Review of GWAS Evidence Across Different Ancestral Groups.Nutrients · 2026Pooled it
- Multi-omics integration reveals shared genetic architecture between metabolic markers and gray matter atrophy in Alzheimer's Disease.The journal of prevention of Alzheimer's disease · 2026Pooled it
- Fine-mapping a genome-wide meta-analysis of 98,374 migraine cases identifies 181 sets of candidate causal variants.Nature communications · 2026Pooled it
- Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects.Nature genetics · 2025Pooled it
- Genetic overlap and causality between depression and preterm birth: a large-scale genome-wide cross-trait analysis.Psychological medicine · 2025Pooled it
- Genome-wide association analysis using multiple Atlantic salmon populations.Genetics, selection, evolution : GSE · 2025Pooled it
- Article
- Mendelianization: Concentrating Polygenic Signal Into a Single Causal Locus.Genetic epidemiology · 2026Article
- Evolution and domestication-trait associations of ultra-long centromere haplotypes in pepper plants.Nature ecology & evolution · 2026Article
- Correlations between causal effect sizes of proximal SNPs vary with functional annotations and implicate stabilizing selection.Nature genetics · 2026Article
- FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies.PLoS genetics · 2026Article
- Post-genome-wide association study variant-to-function challenges in asthma research.The Journal of allergy and clinical immunology · 2026Review
- Mapping genetic regulation of gene expression to cellular contexts identifies long non-coding RNAs associated with brain disorders.Nature communications · 2026Article
- Identification of Growth-Related Single-Nucleotide Polymorphisms in the cAMP-Dependent Protein Kinase Type I Regulatory Subunit-like Gene of the Oriental River Prawn,International journal of molecular sciences · 2026Article
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- A population-specific genomic reference panel for Taiwan: NHRI-RP-1.Journal of biomedical science · 2026Article
- AI-Guided Long Non-Coding RNA Target Discovery for Precision Medicine: Integrating GWAS, Multi-Omics, Experimental Validation, and RNA Therapeutics.Biomedicines · 2026Review
- Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review.BioData mining · 2026Review
- Massively parallel characterization and predictive modelling of neuronal regulatory variation.bioRxiv : the preprint server for biology · 2026Article
506 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Advancing from statistical associations of complex traits with genetic markers to understanding the functional genetic variants that influence traits is often a complex process. Fine-mapping can select and prioritize genetic variants for further study, yet the multitude of analytical strategies and study designs makes it challenging to choose an optimal approach. We review the strengths and weaknesses of different fine-mapping approaches, emphasizing the main factors that affect performance. Topics include interpreting results from genome-wide association studies (GWAS), the role of linkage disequilibrium, statistical fine-mapping approaches, trans-ethnic studies, genomic annotation and data integration, and other analysis and design issues.
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.