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PMID: 16287936 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

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

Bioinformatics (Oxford, England) ·Vol. 22 ·No. 3 ·2006-02-01 ·Pages 269-77

López-Bigas N, Blencowe BJ, Ouzounis CA

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.

MeSH Terms
Biomarkers/analysis Gene Expression Profiling/methods Genetic Diseases, Inborn/genetics Genetic Predisposition to Disease/genetics Humans Models, Genetic Molecular Biology/methods Pattern Recognition, Automated Periodicals as Topic Proteome/classification,genetics Statistics as Topic
Chemicals
Biomarkers Proteome
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
López-Bigas Núria
Genome Bioinformatics Laboratory, Center for Genomic Regulation, Universitat Pompeu Fabra, Pg. Maritim de la Barceloneta 37-49, E-08003, Barcelona, Spain. [email protected]
Blencowe Benjamin J
Ouzounis Christos A
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2006-02-01
Epub
2005-00-15
Pages
269-77
Language
English
Region
England
NLM ID
9808944
Subset
IM
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