HGCS: an online tool for prioritizing disease-causing gene variants by biological distance.

BACKGROUND: Identifying the genotypes underlying human disease phenotypes is a fundamental step in human genetics and medicine. High-throughput genomic technologies provide thousands of genetic variants per individual. The causal genes of a specific phenotype are usually expected to be functionally close to each other. According to this hypothesis, candidate genes are picked from high-throughput data on the basis of their biological proximity to core genes -- genes already known to be responsible for the phenotype. There is currently no effective gene-centric online interface for this purpose. RESULTS: We describe here the human gene connectome server (HGCS), a powerful, easy-to-use interactive online tool enabling researchers to prioritize any list of genes according to their biological proximity to core genes associated with the phenotype of interest. We also make available an updated and extended version for all human gene-specific connectomes. The HGCS is freely available to noncommercial users from: http://hgc.rockefeller.edu/. CONCLUSIONS: The HGCS should help investigators from diverse fields to identify new disease-causing candidate genes more effectively, via a user-friendly online interface.

Domaines

Génomique, Transcriptomique et Protéomique [q-bio.GN]

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https://inserm.hal.science/inserm-00977606

Soumis le : vendredi 11 avril 2014-13:18:35

Dernière modification le : mardi 5 mars 2024-11:14:40

Archivage à long terme le : vendredi 11 juillet 2014-12:35:41

Dates et versions

inserm-00977606 , version 1 (11-04-2014)

Identifiants

HAL Id : inserm-00977606 , version 1
DOI : 10.1186/1471-2164-15-256
PUBMED : 24694260

Citer

Yuval Itan, Mark Mazel, Benjamin Mazel, Avinash Abhyankar, Patrick Nitschke, et al.. HGCS: an online tool for prioritizing disease-causing gene variants by biological distance.. BMC Genomics, 2014, 15 (1), pp.256. ⟨10.1186/1471-2164-15-256⟩. ⟨inserm-00977606⟩

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