Novel integrative genomics strategies to identify genes for complex traits
Open Access
- 17 July 2006
- journal article
- Published by Wiley in Animal Genetics
- Vol. 37 (s1) , 18-23
- https://doi.org/10.1111/j.1365-2052.2006.01473.x
Abstract
Summary: Forward genetics is a common approach to dissecting complex traits like common human diseases. The ultimate aim of this approach was the identification of genes that are causal for disease or other phenotypes of interest. However, the forward genetics approach is by definition restricted to the identification of genes that have incurred mutations over the course of evolution or that incurred mutations as a result of chemical mutagenesis, and that as a result lead to disease or to variations in other phenotypes of interest. Genes that harbour no such mutations, but that play key roles in parts of the biological network that lead to disease, are systematically missed by this class of approaches. Recently, a class of novel integrative genomics approaches has been devised to elucidate the complexity of common human diseases by intersecting genotypic, molecular profiling, and clinical data in segregating populations. These novel approaches take a more holistic view of biological systems and leverage the vast network of gene–gene interactions, in combination with DNA variation data, to establish causal relationships among molecular profiling traits and Fbetween molecular profiling and disease (or other classic phenotypes). A number of novel genes for disease phenotypes have been identified as a result of these approaches, highlighting the utility of integrating orthogonal sources of data to get at the underlying causes of disease.Keywords
This publication has 23 references indexed in Scilit:
- Evidence for a large‐scale population structure among accessions of Arabidopsis thaliana: possible causes and consequences for the distribution of linkage disequilibriumMolecular Ecology, 2006
- Elucidating the murine brain transcriptional network in a segregating mouse population to identify core functional modules for obesity and diabetesJournal of Neurochemistry, 2006
- Integrating QTL and high-density SNP analyses in mice to identify Insig2 as a susceptibility gene for plasma cholesterol levelsGenomics, 2005
- Evidence of a Large-Scale Functional Organization of Mammalian ChromosomesPLoS Genetics, 2005
- Embracing Complexity, Inching Closer to RealityScience's STKE, 2005
- An integrative genomics approach to infer causal associations between gene expression and diseaseNature Genetics, 2005
- Cis-acting expression quantitative trait loci in miceGenome Research, 2005
- In Silico Genetics: Identification of a Functional Element Regulating H2 - E α Gene ExpressionScience, 2004
- Network biology: understanding the cell's functional organizationNature Reviews Genetics, 2004
- Sequence Diversity in Genes of Lipid MetabolismGenome Research, 2001