Risk prediction for complex diseases: application to Parkinson disease.

ABSTRACT:

Purpose

The aim of this study was to evaluate the risk of Parkinson disease using clinical and demographic data alone and when combined with information from genes associated with Parkinson disease.

Methods

A total of 1,967 participants in the dbGAP NeuroGenetics Research Consortium data set were included. Single-nucleotide polymorphisms associated with Parkinson disease at a genome-wide significance level in previous genome-wide association studies were included in risk prediction. Risk allele scores were calculated as the weighted count of the minor alleles. Five models were constructed. Discriminatory capability was evaluated using the area under the curve.

Results

Both family history and genetic risk scores increased risk for Parkinson disease. Although the fulles

SUBMITTER: Hall TO 

PROVIDER: S-EPMC3687522 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature