Association of repeatedly measured intermediate risk factors for complex diseases with high dimensional SNP data.

ABSTRACT:

Background

The causes of complex diseases are difficult to grasp since many different factors play a role in their onset. To find a common genetic background, many of the existing studies divide their population into controls and cases; a classification that is likely to cause heterogeneity within the two groups. Rather than dividing the study population into cases and controls, it is better to identify the phenotype of a complex disease by a set of intermediate risk factors. But these risk factors often vary over time and are therefore repeatedly measured.

Results

We introduce a method to associate multiple repeatedly measured intermediate risk factors with a high dimensional set of single nucleotide polymorphisms (SNPs). Via a two-step approach, we summarized the time cour

SUBMITTER: Waaijenborg S 

PROVIDER: S-EPMC2828454 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature