Functional genomics complements quantitative genetics in identifying disease-gene associations.

ABSTRACT: An ultimate goal of genetic research is to understand the connection between genotype and phenotype in order to improve the diagnosis and treatment of diseases. The quantitative genetics field has developed a suite of statistical methods to associate genetic loci with diseases and phenotypes, including quantitative trait loci (QTL) linkage mapping and genome-wide association studies (GWAS). However, each of these approaches have technical and biological shortcomings. For example, the amount of heritable variation explained by GWAS is often surprisingly small and the resolution of many QTL linkage mapping studies is poor. The predictive power and interpretation of QTL and GWAS results are consequently limited. In this study, we propose a complementary approach to quantitative genetics by in

SUBMITTER: Guan Y 

PROVIDER: S-EPMC2978695 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature