López-Bigas Núria, Blencowe Benjamin J, Ouzounis Christos A
Genome Bioinformatics Laboratory, Center for Genomic Regulation, Universitat Pompeu Fabra, Pg. Maritim de la Barceloneta 37-49, E-08003, Barcelona, Spain.
Bioinformatics. 2006 Feb 1;22(3):269-77. doi: 10.1093/bioinformatics/bti781. Epub 2005 Nov 15.
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.
已知超过1600个哺乳动物基因在发生一个或多个突变时会导致遗传性疾病。这些疾病基因是一种独特的资源,可用于识别和量化疾病表型特征与相关疾病基因分子特征之间的关系,包括它们被赋予的注释功能类别和表达模式。此类分析能够提供更全面的视角,加深对人类遗传性疾病潜在病因的理解。在对疾病基因组学的这一视角和批判性观点中,我们对据报道会导致人类遗传性疾病的基因进行了比较分析,内容涉及它们对生理学的致病作用、遗传学和遗传模式、它们所涉及的功能过程以及它们在广泛组织中的表达谱。我们的分析表明,这些遗传疾病基因的这些属性之间存在比以前认识到的更广泛的相关性。例如,导致显性和隐性疾病的基因的功能模式明显不同。此外,基因的功能及其表达与它们突变时所导致的疾病类型相关。结果还表明,用于分析与人类遗传疾病相关基因的比较基因组学方法将有助于阐明潜在的分子和细胞机制。