ArticleNucleic acids research2016
Function-driven discovery of disease genes in zebrafish using an integrated genomics big data resource.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
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- Matriptase-dependent epidermal pre-neoplasm in zebrafish embryos caused by a combination of hypotonic stress and epithelial polarity defects.PLoS genetics · 2023Article
- Integration of probabilistic functional networks without an external Gold Standard.BMC bioinformatics · 2022Article
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- Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review.Biomolecules · 2021Review
- Evaluation of Dexamethasone-Induced Osteoporosis In Vivo Using Zebrafish Scales.Pharmaceuticals (Basel, Switzerland) · 2021Article
- A Meta-Analysis of Bioelectric Data in Cancer, Embryogenesis, and Regeneration.Bioelectricity · 2021Article
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- Zebrafish Models for Human Skeletal Disorders.Frontiers in genetics · 2021Review
- BiomeNet: a database for construction and analysis of functional interaction networks for any species with a sequenced genome.Bioinformatics (Oxford, England) · 2020Article
- BarleyNet: A Network-Based Functional Omics Analysis Server for Cultivated Barley,Frontiers in plant science · 2020Article
- Genetic deletion of gpr27 alters acylcarnitine metabolism, insulin sensitivity, and glucose homeostasis in zebrafish.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020Article
- Mitotic control by mRNA splicing regulators ensures primary cilia formation.Animal cells and systems · 2017Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Whole exome sequencing (WES) accelerates disease gene discovery using rare genetic variants, but further statistical and functional evidence is required to avoid false-discovery. To complement variant-driven disease gene discovery, here we present function-driven disease gene discovery in zebrafish (Danio rerio), a promising human disease model owing to its high anatomical and genomic similarity to humans. To facilitate zebrafish-based function-driven disease gene discovery, we developed a genome-scale co-functional network of zebrafish genes, DanioNet (www.inetbio.org/danionet), which was constructed by Bayesian integration of genomics big data. Rigorous statistical assessment confirmed the high prediction capacity of DanioNet for a wide variety of human diseases. To demonstrate the feasibility of the function-driven disease gene discovery using DanioNet, we predicted genes for ciliopathies and performed experimental validation for eight candidate genes. We also validated the existence of heterozygous rare variants in the candidate genes of individuals with ciliopathies yet not in controls derived from the UK10K consortium, suggesting that these variants are potentially involved in enhancing the risk of ciliopathies. These results showed that an integrated genomics big data for a model animal of diseases can expand our opportunity for harnessing WES data in disease gene discovery.
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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.