Abstract
The genetic basis of inherited traits has been studied through di erent approaches in many areas of science. Examples include quantitative trait locus (QTL) analysis and mutant analysis in genetics, genome sequencing and gene expression analysis in genomics. Each of these approaches is used for the investigation of complex traits, such as disease resistance, but also provides knowledge on components of complex biological systems. We introduce a novel functional genomics approach that integrates two areas, genetics and genomics, by applying QTL analysis to quantitative di erences in the mRNA abundance of trait-related genes. This approach allows comprehensive dissection of regulatory networks for complex traits at a systems biology level. We also address statistical issues, and suggest guidelines for future experiments in this new framework.
Keywords
QTL mapping, gene expression, microarrays, expression level polymorphism, gene regulatory networks, e-QTL
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Kim, Kyunga; West, Marilyn A. L.; Michelmore, Richard W.; St. Clair, Dina A.; and Doerge, R. W.
(2004).
"GENETIC MAPPING OF GENE EXPRESSION LEVELS: EXPRESSION LEVEL POLYMORPHISM ANALYSIS FOR DISSECTING REGULATORY NETWORKS OF PLANT DISEASE RESISTANCE,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1153
GENETIC MAPPING OF GENE EXPRESSION LEVELS: EXPRESSION LEVEL POLYMORPHISM ANALYSIS FOR DISSECTING REGULATORY NETWORKS OF PLANT DISEASE RESISTANCE
The genetic basis of inherited traits has been studied through di erent approaches in many areas of science. Examples include quantitative trait locus (QTL) analysis and mutant analysis in genetics, genome sequencing and gene expression analysis in genomics. Each of these approaches is used for the investigation of complex traits, such as disease resistance, but also provides knowledge on components of complex biological systems. We introduce a novel functional genomics approach that integrates two areas, genetics and genomics, by applying QTL analysis to quantitative di erences in the mRNA abundance of trait-related genes. This approach allows comprehensive dissection of regulatory networks for complex traits at a systems biology level. We also address statistical issues, and suggest guidelines for future experiments in this new framework.
