Literature DB >> 16287936

Highly consistent patterns for inherited human diseases at the molecular level.

Núria López-Bigas1, Benjamin J Blencowe, Christos A Ouzounis.   

Abstract

Over 1600 mammalian genes are known to cause an inherited disorder, when subjected to one or more mutations. These disease genes represent a unique resource for the identification and quantification of relationships between phenotypic attributes of a disease and the molecular features of the associated disease genes, including their ascribed annotated functional classes and expression patterns. Such analyses can provide a more global perspective and a deeper understanding of the probable causes underlying human hereditary diseases. In this perspective and critical view of disease genomics, we present a comparative analysis of genes reported to cause inherited diseases in humans in terms of their causative effects on physiology, their genetics and inheritance modes, the functional processes they are involved in and their expression profiles across a wide spectrum of tissues. Our analysis reveals that there are more extensive correlations between these attributes of genetic disease genes than previously appreciated. For instance, the functional pattern of genes causing dominant and recessive diseases is markedly different. Also, the function of the genes and their expression correlate with the type of disease they cause when mutated. The results further indicate that a comparative genomics approach for the analysis of genes linked to human genetic diseases will facilitate the elucidation of the underlying molecular and cellular mechanisms.

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Year:  2005        PMID: 16287936     DOI: 10.1093/bioinformatics/bti781

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  24 in total

1.  Ohnologs in the human genome are dosage balanced and frequently associated with disease.

Authors:  Takashi Makino; Aoife McLysaght
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

2.  Network properties of genes harboring inherited disease mutations.

Authors:  Igor Feldman; Andrey Rzhetsky; Dennis Vitkup
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-07       Impact factor: 11.205

3.  From ENU mutagenesis to population genetics.

Authors:  N Avrion Mitchison; Bryan Clarke
Journal:  Mamm Genome       Date:  2008-03-26       Impact factor: 2.957

4.  Endogenous tagging of the murine transcription factor Sox5 with hemaglutinin for functional studies.

Authors:  Wenqing Jean Lee; Petra Kraus; Thomas Lufkin
Journal:  Transgenic Res       Date:  2011-07-06       Impact factor: 2.788

5.  SplicerEX: a tool for the automated detection and classification of mRNA changes from conventional and splice-sensitive microarray expression data.

Authors:  Timothy J Robinson; Eleonora Forte; Raul E Salinas; Shaan Puri; Matthew Marengo; Mariano A Garcia-Blanco; Micah A Luftig
Journal:  RNA       Date:  2012-06-26       Impact factor: 4.942

6.  Schizophrenia gene networks and pathways and their applications for novel candidate gene selection.

Authors:  Jingchun Sun; Peilin Jia; Ayman H Fanous; Edwin van den Oord; Xiangning Chen; Brien P Riley; Richard L Amdur; Kenneth S Kendler; Zhongming Zhao
Journal:  PLoS One       Date:  2010-06-29       Impact factor: 3.240

Review 7.  A census of human transcription factors: function, expression and evolution.

Authors:  Juan M Vaquerizas; Sarah K Kummerfeld; Sarah A Teichmann; Nicholas M Luscombe
Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

8.  Quantifying dominance and deleterious effect on human disease genes.

Authors:  Naoki Osada; Shuhei Mano; Jun Gojobori
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

9.  Linking genes to diseases: it's all in the data.

Authors:  Nicki Tiffin; Miguel A Andrade-Navarro; Carolina Perez-Iratxeta
Journal:  Genome Med       Date:  2009-08-07       Impact factor: 11.117

10.  Gene-disease relationship discovery based on model-driven data integration and database view definition.

Authors:  S Yilmaz; P Jonveaux; C Bicep; L Pierron; M Smaïl-Tabbone; M D Devignes
Journal:  Bioinformatics       Date:  2008-11-27       Impact factor: 6.937

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