Literature DB >> 17004234

Immunodeficiency mutation databases (IDbases).

Hilkka Piirilä1, Jouni Väliaho, Mauno Vihinen.   

Abstract

Primary immunodeficiencies (IDs) are a heterogenic group of inherited disorders of the immune system. Immunodeficiency patients have increased susceptibility to recurrent and persistent, even life-threatening infections. Mutations in a large number of genes can cause defects in different cellular functions and lead to impaired immune response. To date, approximately 150 IDs and more than 100 affected genes have been identified. ID-related genes are distributed throughout the genome, and diseases can be inherited in an X-linked, an autosomal recessive, or an autosomal dominant way. We have collected ID mutation data into locus-specific patient-related mutation databases, IDbases (http://bioinf.uta.fi/IDbases). Mutations are described at DNA, mRNA, and protein levels with links to reference sequences and reference articles. The mutation data has been collated into entries along with some clinical information. IDbases offer an easy way, e.g., to find recently identified mutations, to reveal genotype-phenotype correlations, and to discover a specific mutation or to examine the most common mutations in a single immunodeficiency related gene. At the moment we have databases for 107 ID genes with 4,140 public patient entries. An exhaustive statistical analysis of mutation data from the IDbases was made. Missense and nonsense mutations are the most common mutation types, and the most common single substitution is a nonsense mutation from tryptophan to a stop codon. Arginine is the most mutated as well as the most abundant mutant amino acid. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 17004234     DOI: 10.1002/humu.20405

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  48 in total

Review 1.  Pitfalls of "hyper"-IgM syndrome: a new CD40 ligand mutation in the presence of low IgM levels. A case report and a critical review of the literature.

Authors:  A Heinold; B Hanebeck; V Daniel; J Heyder; T H Tran; B Döhler; J Greil; F-M Müller
Journal:  Infection       Date:  2010-10-28       Impact factor: 3.553

Review 2.  Human genotype-phenotype databases: aims, challenges and opportunities.

Authors:  Anthony J Brookes; Peter N Robinson
Journal:  Nat Rev Genet       Date:  2015-11-10       Impact factor: 53.242

3.  Molecular characterization of the immune system: emergence of proteins, processes, and domains.

Authors:  Csaba Ortutay; Markku Siermala; Mauno Vihinen
Journal:  Immunogenetics       Date:  2007-02-09       Impact factor: 2.846

4.  Crystallographic and mutational analysis of the CD40-CD154 complex and its implications for receptor activation.

Authors:  Hyun-Jung An; Young Jin Kim; Dong Hyun Song; Beom Suk Park; Ho Min Kim; Ju Dong Lee; Sang-Gi Paik; Jie-Oh Lee; Hayyoung Lee
Journal:  J Biol Chem       Date:  2011-02-01       Impact factor: 5.157

5.  Recommendations for locus-specific databases and their curation.

Authors:  R G H Cotton; A D Auerbach; J S Beckmann; O O Blumenfeld; A J Brookes; A F Brown; P Carrera; D W Cox; B Gottlieb; M S Greenblatt; P Hilbert; H Lehvaslaiho; P Liang; S Marsh; D W Nebert; S Povey; S Rossetti; C R Scriver; M Summar; D R Tolan; I C Verma; M Vihinen; J T den Dunnen
Journal:  Hum Mutat       Date:  2008-01       Impact factor: 4.878

6.  Human Variome Project Quality Assessment Criteria for Variation Databases.

Authors:  Mauno Vihinen; John M Hancock; Donna R Maglott; Melissa J Landrum; Gerard C P Schaafsma; Peter Taschner
Journal:  Hum Mutat       Date:  2016-03-21       Impact factor: 4.878

7.  Types and effects of protein variations.

Authors:  Mauno Vihinen
Journal:  Hum Genet       Date:  2015-01-24       Impact factor: 4.132

Review 8.  Human variation databases.

Authors:  Jan Küntzer; Daniela Eggle; Stefan Klostermann; Helmut Burtscher
Journal:  Database (Oxford)       Date:  2010-07-17       Impact factor: 3.451

9.  Mutation@A Glance: an integrative web application for analysing mutations from human genetic diseases.

Authors:  Atsushi Hijikata; Rajesh Raju; Shivakumar Keerthikumar; Subhashri Ramabadran; Lavanya Balakrishnan; Suresh Kumar Ramadoss; Akhilesh Pandey; Sujatha Mohan; Osamu Ohara
Journal:  DNA Res       Date:  2010-04-01       Impact factor: 4.458

10.  An integrated approach to the interpretation of single amino acid polymorphisms within the framework of CATH and Gene3D.

Authors:  Jose M G Izarzugaza; Anja Baresic; Lisa E M McMillan; Corin Yeats; Andrew B Clegg; Christine A Orengo; Andrew C R Martin; Alfonso Valencia
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

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