Literature DB >> 21565935

OrthoDisease: tracking disease gene orthologs across 100 species.

Kristoffer Forslund1, Fabian Schreiber, Nattaphon Thanintorn, Erik L L Sonnhammer.   

Abstract

Orthology is one of the most important tools available to modern biology, as it allows making inferences from easily studied model systems to much less tractable systems of interest, such as ourselves. This becomes important not least in the study of genetic diseases. We here review work on the orthology of disease-associated genes and also present an updated version of the InParanoid-based disease orthology database and web site OrthoDisease, with 14-fold increased species coverage since the previous version. Using this resource, we survey the taxonomic distribution of orthologs of human genes involved in different disease categories. The hypothesis that paralogs can mask the effect of deleterious mutations predicts that known heritable disease genes should have fewer close paralogs. We found large-scale support for this hypothesis as significantly fewer duplications were observed for disease genes in the OrthoDisease ortholog groups.

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Year:  2011        PMID: 21565935     DOI: 10.1093/bib/bbr024

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  7 in total

Review 1.  Resources for functional genomics studies in Drosophila melanogaster.

Authors:  Stephanie E Mohr; Yanhui Hu; Kevin Kim; Benjamin E Housden; Norbert Perrimon
Journal:  Genetics       Date:  2014-03-20       Impact factor: 4.562

Review 2.  Modeling ALS and FTLD proteinopathies in yeast: an efficient approach for studying protein aggregation and toxicity.

Authors:  Dmitry Kryndushkin; Frank Shewmaker
Journal:  Prion       Date:  2011-10-01       Impact factor: 3.931

3.  Scope and limitations of yeast as a model organism for studying human tissue-specific pathways.

Authors:  Shahin Mohammadi; Baharak Saberidokht; Shankar Subramaniam; Ananth Grama
Journal:  BMC Syst Biol       Date:  2015-12-29

4.  Human monogenic disease genes have frequently functionally redundant paralogs.

Authors:  Wei-Hua Chen; Xing-Ming Zhao; Vera van Noort; Peer Bork
Journal:  PLoS Comput Biol       Date:  2013-05-16       Impact factor: 4.475

5.  Evolutionary history of human disease genes reveals phenotypic connections and comorbidity among genetic diseases.

Authors:  Solip Park; Jae-Seong Yang; Jinho Kim; Young-Eun Shin; Jihye Hwang; Juyong Park; Sung Key Jang; Sanguk Kim
Journal:  Sci Rep       Date:  2012-10-22       Impact factor: 4.379

6.  Global analysis of human duplicated genes reveals the relative importance of whole-genome duplicates originated in the early vertebrate evolution.

Authors:  Debarun Acharya; Tapash C Ghosh
Journal:  BMC Genomics       Date:  2016-01-22       Impact factor: 3.969

7.  Using Disease-Associated Coding Sequence Variation to Investigate Functional Compensation by Human Paralogous Proteins.

Authors:  Sayaka Miura; Stephanie Tate; Sudhir Kumar
Journal:  Evol Bioinform Online       Date:  2015-11-02       Impact factor: 1.625

  7 in total

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