ArticleScientific reports2017
Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2024Pooled it
- Systems Biology and Multi-Omics in Asthma and COPD: A Systematic Review of Computational Approaches (2010-2024).Journal of asthma and allergy · 2026Review
- Genomic Signatures of Domestication in European Seabass (Ecology and evolution · 2024Article
- Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery.Briefings in bioinformatics · 2024Review
- COVID-GWAB: A Web-Based Prediction of COVID-19 Host Genes via Network Boosting of Genome-Wide Association Data.Biomolecules · 2022Article
- Incorporating regulatory interactions into gene-set analyses for GWAS data: A controlled analysis with the MAGMA tool.PLoS computational biology · 2022Article
- Network and pathway expansion of genetic disease associations identifies successful drug targets.Scientific reports · 2020Article
- Genome‑wide analysis of DNA methylation and gene expression changes in an ovalbumin‑induced asthma mouse model.Molecular medicine reports · 2020Article
- Integrative genomics analysis of various omics data and networks identify risk genes and variants vulnerable to childhood-onset asthma.BMC medical genomics · 2020Article
- SNPeffect: identifying functional roles of SNPs using metabolic networks.The Plant journal : for cell and molecular biology · 2020Article
- Protein-Protein interactions uncover candidate 'core genes' within omnigenic disease networks.PLoS genetics · 2020Article
- Identification of disease-associated loci using machine learning for genotype and network data integration.Bioinformatics (Oxford, England) · 2019Article
- Differential genetic and functional background in inflammatory bowel disease phenotypes of a Greek population: a systems bioinformatics approach.Gut pathogens · 2019Article
- An integrative tissue-network approach to identify and test human disease genes.Nature biotechnology · 2018Article
- Enabling Precision Medicine through Integrative Network Models.Journal of molecular biology · 2018Review
- Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.Molecular medicine reports · 2018Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 4 countries.
Funding
Abstract
The number of genetic factors associated with asthma remains limited. To identify new genes with an undetected individual effect but collectively influencing asthma risk, we conducted a network-assisted analysis that integrates outcomes of genome-wide association studies (GWAS) and protein-protein interaction networks. We used two GWAS datasets, each consisting of the results of a meta-analysis of nine childhood-onset asthma GWASs (5,924 and 6,043 subjects, respectively). We developed a novel method to compute gene-level P-values (fastCGP), and proposed a parallel dense-module search and cross-selection strategy to identify an asthma-associated gene module. We identified a module of 91 genes with a significant joint effect on childhood-onset asthma (P < 10
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