Ontology highlight
ABSTRACT: Background
The prediction of the genetic disease risk of an individual is a powerful public health tool. While predicting risk has been successful in diseases which follow simple Mendelian inheritance, it has proven challenging in complex diseases for which a large number of loci contribute to the genetic variance. The large numbers of single nucleotide polymorphisms now available provide new opportunities for predicting genetic risk of complex diseases with high accuracy.Methodology/principal findings
We have derived simple deterministic formulae to predict the accuracy of predicted genetic risk from population or case control studies using a genome-wide approach and assuming a dichotomous disease phenotype with an underlying continuous liability. We show that the predicti
SUBMITTER: Daetwyler HD
PROVIDER: S-EPMC2561058 | biostudies-literature | 2008
REPOSITORIES: biostudies-literature