ArticleNucleic acids research2017
GWAB: a web server for the network-based boosting of human genome-wide association data.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.Communications biology · 2024Article
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Focal adhesion is associated with lithium response in bipolar disorder: evidence from a network-based multi-omics analysis.Molecular psychiatry · 2024Article
- networkGWAS: a network-based approach to discover genetic associations.Bioinformatics (Oxford, England) · 2023Article
- Self-supervised graph representation learning integrates multiple molecular networks and decodes gene-disease relationships.Patterns (New York, N.Y.) · 2023Article
- COVID-GWAB: A Web-Based Prediction of COVID-19 Host Genes via Network Boosting of Genome-Wide Association Data.Biomolecules · 2022Article
- PGAGP: Predicting pathogenic genes based on adaptive network embedding algorithm.Frontiers in genetics · 2022Article
- The Integrated Landscape of Biological Candidate Causal Genes in Coronary Artery Disease.Frontiers in genetics · 2020Article
- The multi-allelic APRR2 gene is associated with fruit pigment accumulation in melon and watermelon.Journal of experimental botany · 2019Article
- Article
- Benchmarker: An Unbiased, Association-Data-Driven Strategy to Evaluate Gene Prioritization Algorithms.American journal of human genetics · 2019Article
- Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Briefings in bioinformatics · 2019Review
- Strategies for Network GWAS Evaluated Using Classroom Crowd Science.Cell systems · 2019Article
- HumanNet v2: human gene networks for disease research.Nucleic acids research · 2019Article
- Integrating Coexpression Networks with GWAS to Prioritize Causal Genes in Maize.The Plant cell · 2018Article
- Bottlenecks for genome-edited crops on the road from lab to farm.Genome biology · 2018Article
- Network-based genetic investigation of virulence-associated phenotypes in methicillin-resistant Staphylococcus aureus.Scientific reports · 2018Article
- araGWAB: Network-based boosting of genome-wide association studies in Arabidopsis thaliana.Scientific reports · 2018Article
- Improving stability of prediction models based on correlated omics data by using network approaches.PloS one · 2018Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the last decade, genome-wide association studies (GWAS) have represented a major approach to dissect complex human genetic diseases. Due in part to limited statistical power, most studies identify only small numbers of candidate genes that pass the conventional significance thresholds (e.g. P ≤ 5 × 10-8). This limitation can be partly overcome by increasing the sample size, but this comes at a higher cost. Alternatively, weak association signals can be boosted by incorporating independent data. Previously, we demonstrated the feasibility of boosting GWAS disease associations using gene networks. Here, we present a web server, GWAB (www.inetbio.org/gwab), for the network-based boosting of human GWAS data. Using GWAS summary statistics (P-values) for SNPs along with reference genes for a disease of interest, GWAB reprioritizes candidate disease genes by integrating the GWAS and network data. We found that GWAB could more effectively retrieve disease-associated reference genes than GWAS could alone. As an example, we describe GWAB-boosted candidate genes for coronary artery disease and supporting data in the literature. These results highlight the inherent value in sub-threshold GWAS associations, which are often not publicly released. GWAB offers a feasible general approach to boost such associations for human disease genetics.
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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.