Novel primary immunodeficiency candidate genes predicted by the human gene connectome
| Autor: | Yuval eItan, Jean-Laurent eCasanova |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
lcsh:Immunologic diseases. Allergy
Genetics Candidate gene Mutation the human gene connectome In silico Immunology Biology medicine.disease_cause Candidate Gene Identification DNA sequencing Germline 3. Good health disease genomics computational biology medicine Immunology and Allergy Human genome candidate gene identification lcsh:RC581-607 Gene Original Research primary immunodeficiencies |
| Zdroj: | Frontiers in Immunology Frontiers in Immunology, Vol 6 (2015) |
| ISSN: | 1664-3224 |
| Popis: | Germline genetic mutations underlie various primary immunodeficiency (PID) diseases. Patients with rare PID diseases (like most non-PID patients and healthy individuals) carry, on average, 20,000 rare and common coding variants detected by high-throughput sequencing. It is thus a major challenge to select only a few candidate disease-causing variants for experimental testing. One of the tools commonly used in the pipeline for estimating a potential PID-candidate gene is to test whether the specific gene is included in the list of genes that were already experimentally validated as PID-causing in previous studies. However, this approach is limited because it cannot detect the PID-causing mutation(s) in the many PID patients carrying causal mutations of as yet unidentified PID-causing genes. In this study, we expanded in silico the list of potential PID-causing candidate genes from 229 to 3,110. We first identified the top 1% of human genes predicted by the human genes connectome to be biologically close to the 229 known PID genes. We then further narrowed down the list of genes by retaining only the most biologically relevant genes, with functionally enriched gene ontology biological categories similar to those for the known PID genes. We validated this prediction by showing that 17 of the 21 novel PID genes published since the last IUIS classification fall into this group of 3,110 genes (p 10(-7)). The resulting new extended list of 3,110 predicted PID genes should be useful for the discovery of novel PID genes in patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|