|Title||Prediction of a time-to-event trait using genome wide SNP data.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Kim, Jinseog, Insuk Sohn, Dae-Soon Son, Dong Hwan Kim, Taejin Ahn, and Sin-Ho Jung|
|Date Published||2013 Feb 19|
|Keywords||Algorithms, Genome-Wide Association Study, Genomics, Humans, Leukemia, Myeloid, Acute, Models, Genetic, Polymorphism, Single Nucleotide, Proportional Hazards Models|
BACKGROUND: A popular objective of many high-throughput genome projects is to discover various genomic markers associated with traits and develop statistical models to predict traits of future patients based on marker values.RESULTS: In this paper, we present a prediction method for time-to-event traits using genome-wide single-nucleotide polymorphisms (SNPs). We also propose a MaxTest associating between a time-to-event trait and a SNP accounting for its possible genetic models. The proposed MaxTest can help screen out nonprognostic SNPs and identify genetic models of prognostic SNPs. The performance of the proposed method is evaluated through simulations.CONCLUSIONS: In conjunction with the MaxTest, the proposed method provides more parsimonious prediction models but includes more prognostic SNPs than some naive prediction methods. The proposed method is demonstrated with real GWAS data.
|Alternate Journal||BMC Bioinformatics|
|Original Publication||Prediction of a time-to-event trait using genome wide SNP data.|
|PubMed Central ID||PMC3651372|
|Grant List||P01 CA142538 / CA / NCI NIH HHS / United States |
CA142538 / CA / NCI NIH HHS / United States
Prediction of a time-to-event trait using genome wide SNP data.