Skip to main content
Journal cover image

Prediction of a time-to-event trait using genome wide SNP data.

Publication ,  Journal Article
Kim, J; Sohn, I; Son, D-S; Kim, DH; Ahn, T; Jung, S-H
Published in: BMC Bioinformatics
February 19, 2013

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

BMC Bioinformatics

DOI

EISSN

1471-2105

Publication Date

February 19, 2013

Volume

14

Start / End Page

58

Location

England

Related Subject Headings

  • Proportional Hazards Models
  • Polymorphism, Single Nucleotide
  • Models, Genetic
  • Leukemia, Myeloid, Acute
  • Humans
  • Genomics
  • Genome-Wide Association Study
  • Bioinformatics
  • Algorithms
  • 49 Mathematical sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Kim, J., Sohn, I., Son, D.-S., Kim, D. H., Ahn, T., & Jung, S.-H. (2013). Prediction of a time-to-event trait using genome wide SNP data. BMC Bioinformatics, 14, 58. https://doi.org/10.1186/1471-2105-14-58
Kim, Jinseog, Insuk Sohn, Dae-Soon Son, Dong Hwan Kim, Taejin Ahn, and Sin-Ho Jung. “Prediction of a time-to-event trait using genome wide SNP data.BMC Bioinformatics 14 (February 19, 2013): 58. https://doi.org/10.1186/1471-2105-14-58.
Kim J, Sohn I, Son D-S, Kim DH, Ahn T, Jung S-H. Prediction of a time-to-event trait using genome wide SNP data. BMC Bioinformatics. 2013 Feb 19;14:58.
Kim, Jinseog, et al. “Prediction of a time-to-event trait using genome wide SNP data.BMC Bioinformatics, vol. 14, Feb. 2013, p. 58. Pubmed, doi:10.1186/1471-2105-14-58.
Kim J, Sohn I, Son D-S, Kim DH, Ahn T, Jung S-H. Prediction of a time-to-event trait using genome wide SNP data. BMC Bioinformatics. 2013 Feb 19;14:58.
Journal cover image

Published In

BMC Bioinformatics

DOI

EISSN

1471-2105

Publication Date

February 19, 2013

Volume

14

Start / End Page

58

Location

England

Related Subject Headings

  • Proportional Hazards Models
  • Polymorphism, Single Nucleotide
  • Models, Genetic
  • Leukemia, Myeloid, Acute
  • Humans
  • Genomics
  • Genome-Wide Association Study
  • Bioinformatics
  • Algorithms
  • 49 Mathematical sciences