Comparison of two methods for estimating absolute risk of prostate cancer based on single nucleotide polymorphisms and family history.

ABSTRACT: Disease risk-associated single nucleotide polymorphisms (SNP) identified from genome-wide association studies have the potential to be used for disease risk prediction. An important feature of these risk-associated SNPs is their weak individual effect but stronger cumulative effect on disease risk. Several approaches are commonly used to model the combined effect in risk prediction, but their performance is unclear. We compared two methods to model the combined effect of 14 prostate cancer risk-associated SNPs and family history for the estimation of absolute risk for prostate cancer in a population-based case-control study in Sweden (2,899 cases and 1,722 controls). Method 1 weighs each risk allele equally using a simple method of counting the number of risk alleles, whereas method 2 weig

SUBMITTER: Hsu FC 

PROVIDER: S-EPMC2852494 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature