Multilocus analysis of SNP and metabolic data within a given pathway.

ABSTRACT:

Background

Complex traits, which are under the influence of multiple and possibly interacting genes, have become a subject of new statistical methodological research. One of the greatest challenges facing human geneticists is the identification and characterization of susceptibility genes for common multifactorial diseases and their association to different quantitative phenotypic traits.

Results

Two types of data from the same metabolic pathway were used in the analysis: categorical measurements of 18 SNPs; and quantitative measurements of plasma levels of several steroids and their precursors. Using the combinatorial partitioning method we tested various thresholds for each metabolic trait and each individual SNP locus. One SNP in CYP19, 3UTR, two SNPs in CYP1B1 (R48G and

SUBMITTER: Kristensen VN 

PROVIDER: S-EPMC1382210 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature