ReviewFrontiers in genetics2013
A review of post-GWAS prioritization approaches.
Review in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies.Scientific reports · 2020Pooled it
- Genome-wide association study for time to failure of kidney transplants from African American deceased donors.Clinical transplantation · 2020Pooled it
- Genetic Dissection of Growth Traits and Identification of Candidate Genes in Japanese Flounder (Biology · 2026Article
- Identification of Gene Expression and Splicing QTLs in Porcine Muscle Associated with Meat Quality Traits.Animals : an open access journal from MDPI · 2025Article
- NAVIP: Unraveling the influence of neighboring small sequence variants on functional impact prediction.PLoS computational biology · 2025Article
- A nested reciprocal experimental design to map the genetic architecture of transgenerational phenotypic plasticity.Horticulture research · 2024Article
- Association of Single Nucleotide Polymorphisms (SNPs) of Chemoattractant Receptor23 (ChemR23) Gene with Susceptibility to Allergic Rhinitis.Biochemical genetics · 2024Article
- Article
- Identifying key genes in COPD risk via multiple population data integration and gene prioritization.PloS one · 2024Article
- Animal-SNPAtlas: a comprehensive SNP database for multiple animals.Nucleic acids research · 2023Article
- Genome-wide association study of early liveweight traits in fat-tailed Akkaraman lambs.PloS one · 2023Article
- Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization.Genes · 2022Article
- 3DFAACTS-SNP: using regulatory T cell-specific epigenomics data to uncover candidate mechanisms of type 1 diabetes (T1D) risk.Epigenetics & chromatin · 2022Article
- Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants.Bioinformatics (Oxford, England) · 2021Article
- Deciphering pathogenicity of variants of uncertain significance with CRISPR-edited iPSCs.Trends in genetics : TIG · 2021Review
- Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR.PLoS genetics · 2021Article
- The variant call format provides efficient and robust storage of GWAS summary statistics.Genome biology · 2021Article
- A multi-breed GWAS for morphometric traits in four Beninese indigenous cattle breeds reveals loci associated with conformation, carcass and adaptive traits.BMC genomics · 2020Article
- Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits.Genetics, selection, evolution : GSE · 2020Article
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
In the recent decade, high-throughput genotyping and next-generation sequencing platforms have enabled genome-wide association studies (GWAS) of many complex human diseases. These studies have discovered many disease susceptible loci, and unveiled unexpected disease mechanisms. Despite these successes, these identified variants only explain a small proportion of the genetic contributions to these diseases and many more remain to be found. This is largely due to the small effect sizes of most disease-associated variants and limited sample size. As a result, it is critical to leverage other information to more effectively prioritize GWAS signals to increase replication rates and better understand disease mechanisms. In this review, we introduce the biological/genomic features that have been found to be informative for post-GWAS prioritization, and discuss available tools to utilize these features for prioritization.
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What Socratic 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 Socratic graph.