Novel Integrative Approaches to the Identification of Candidate Genes in Hypertension
- 1 January 2006
- journal article
- review article
- Published by Wolters Kluwer Health in Hypertension
- Vol. 47 (1), 1-5
- https://doi.org/10.1161/01.hyp.0000197951.82190.c4
Abstract
Hypertension, diabetes, and obesity are common diseases that are genetically expressed as complex traits. The clinical expression of these diseases, which run in families but have no clear pattern of inheritance, has been attributed to the interaction between multiple genes and the environment. Identifying the underlying genes, a crucial step in understanding the molecular pathogenesis of complex diseases, has had limited success so far, stressing the need for novel strategies to move this process forward. Innovative integrative genetic–genomic approaches have been proposed recently for the identification of new high-priority candidate genes. These strategies, which combine expression profiling with genetic linkage in different ways, may represent a breakthrough in the search for the genes involved in complex diseases.Keywords
This publication has 24 references indexed in Scilit:
- Identification of Hypertension-Related Genes Through an Integrated Genomic-Transcriptomic ApproachCirculation Research, 2005
- Predicting disease using genomicsNature, 2004
- Genome sequence of the Brown Norway rat yields insights into mammalian evolutionNature, 2004
- Positional cloning of a novel gene influencing asthma from Chromosome 2q14Nature Genetics, 2003
- Initial sequencing and comparative analysis of the mouse genomeNature, 2002
- Diabetes mellitus and genetically programmed defects in β-cell functionNature, 2001
- The Sequence of the Human GenomeScience, 2001
- Transgenic rescue of defective Cd36 ameliorates insulin resistance in spontaneously hypertensive ratsNature Genetics, 2001
- Initial sequencing and analysis of the human genomeNature, 2001
- Identification of Cd36 (Fat) as an insulin-resistance gene causing defective fatty acid and glucose metabolism in hypertensive ratsNature Genetics, 1999