ArticleOpen biology2020
A practical view of fine-mapping and gene prioritization in the post-genome-wide association era.
Article in Open biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
85 citing papers in PubMed, 3 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- GALC variants affect galactosylceramidase enzymatic activity and risk of Parkinson's disease.Brain : a journal of neurology · 2023Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- ANNORE: genetic fine-mapping with functional annotation.Human molecular genetics · 2021Pooled it
- A new era of genome-wide association studies in the field of Alzheimer's disease and overlapping co-pathologies: lessons learned from a neuropathology-centered approach.Acta neuropathologica · 2026Review
- From GWAS Signals to Molecular Mechanisms: Explainable AI for Causal Gene Prioritization and Biomolecular Target Interpretation.Biomolecules · 2026Review
- Multiple instance fine-mapping: Predicting causal regulatory variants with a deep sequence model.PLoS genetics · 2026Article
- Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.Nature communications · 2026Article
- Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- The role of KRAB zinc-finger proteins in expanding the domestication potential of transposable elements.Nature genetics · 2026Review
- Practical utility of sequence-to-omics models for improving the reproducibility of genetic fine-mapping.bioRxiv : the preprint server for biology · 2026Article
- The genetics of hypertension.Nature reviews. Nephrology · 2026Review
- From gut to pancreas: Shared genetic susceptibility and biological convergence in acute pancreatitis and Crohn's disease.PloS one · 2026Article
- Psoriasis risk allele function in activated Th1/17 cells with "memory" to antigen exposure.PloS one · 2026Article
- Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025Article
- Utilising genomic association data for causal inference in anorexia nervosa.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Review
- Towards improved fine-mapping of candidate causal variants.Nature reviews. Genetics · 2025Review
- Functionally enriched human polymorphisms associate to species in the chronic wound microbiome.NPJ biofilms and microbiomes · 2025Article
- Candidate Genes, Markers, Signatures of Selection, and Quantitative Trait Loci (QTLs) and Their Association with Economic Traits in Livestock: Genomic Insights and Selection.International journal of molecular sciences · 2025Review
- Beyond the Standard GWAS-A Guide for Plant Biologists.Plant & cell physiology · 2025Review
- Translating Molecular Psychiatry: From Biomarkers to Personalized Therapies-A Narrative Review.International journal of molecular sciences · 2025Review
25 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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past 15 years, genome-wide association studies (GWASs) have enabled the systematic identification of genetic loci associated with traits and diseases. However, due to resolution issues and methodological limitations, the true causal variants and genes associated with traits remain difficult to identify. In this post-GWAS era, many biological and computational fine-mapping approaches now aim to solve these issues. Here, we review fine-mapping and gene prioritization approaches that, when combined, will improve the understanding of the underlying mechanisms of complex traits and diseases. Fine-mapping of genetic variants has become increasingly sophisticated: initially, variants were simply overlapped with functional elements, but now the impact of variants on regulatory activity and direct variant-gene 3D interactions can be identified. Moreover, gene manipulation by CRISPR/Cas9, the identification of expression quantitative trait loci and the use of co-expression networks have all increased our understanding of the genes and pathways affected by GWAS loci. However, despite this progress, limitations including the lack of cell-type- and disease-specific data and the ever-increasing complexity of polygenic models of traits pose serious challenges. Indeed, the combination of fine-mapping and gene prioritization by statistical, functional and population-based strategies will be necessary to truly understand how GWAS loci contribute to complex traits and diseases.
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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 Socratic graph.