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Power and sample size calculations for SNP association studies with censored time-to-event outcomes.

Publication ,  Journal Article
Owzar, K; Li, Z; Cox, N; Jung, S-H
Published in: Genet Epidemiol
September 2012

For many clinical studies in cancer, germline DNA is prospectively collected for the purpose of discovering or validating single-nucleotide polymorphisms (SNPs) associated with clinical outcomes. The primary clinical endpoint for many of these studies are time-to-event outcomes such as time of death or disease progression which are subject to censoring mechanisms. The Cox score test can be readily employed to test the association between a SNP and the outcome of interest. In addition to the effect and sample size, and censoring distribution, the power of the test will depend on the underlying genetic risk model and the distribution of the risk allele. We propose a rigorous account for power and sample size calculations under a variety of genetic risk models without resorting to the commonly used contiguous alternative assumption. Practical advice along with an open-source software package to design SNP association studies with survival outcomes are provided.

Duke Scholars

Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

September 2012

Volume

36

Issue

6

Start / End Page

538 / 548

Location

United States

Related Subject Headings

  • Survival Rate
  • Software
  • Sample Size
  • Research Design
  • Random Allocation
  • Proportional Hazards Models
  • Polymorphism, Single Nucleotide
  • Models, Genetic
  • Humans
  • Genome-Wide Association Study
 

Citation

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Owzar, K., Li, Z., Cox, N., & Jung, S.-H. (2012). Power and sample size calculations for SNP association studies with censored time-to-event outcomes. Genet Epidemiol, 36(6), 538–548. https://doi.org/10.1002/gepi.21645
Owzar, Kouros, Zhiguo Li, Nancy Cox, and Sin-Ho Jung. “Power and sample size calculations for SNP association studies with censored time-to-event outcomes.Genet Epidemiol 36, no. 6 (September 2012): 538–48. https://doi.org/10.1002/gepi.21645.
Owzar K, Li Z, Cox N, Jung S-H. Power and sample size calculations for SNP association studies with censored time-to-event outcomes. Genet Epidemiol. 2012 Sep;36(6):538–48.
Owzar, Kouros, et al. “Power and sample size calculations for SNP association studies with censored time-to-event outcomes.Genet Epidemiol, vol. 36, no. 6, Sept. 2012, pp. 538–48. Pubmed, doi:10.1002/gepi.21645.
Owzar K, Li Z, Cox N, Jung S-H. Power and sample size calculations for SNP association studies with censored time-to-event outcomes. Genet Epidemiol. 2012 Sep;36(6):538–548.
Journal cover image

Published In

Genet Epidemiol

DOI

EISSN

1098-2272

Publication Date

September 2012

Volume

36

Issue

6

Start / End Page

538 / 548

Location

United States

Related Subject Headings

  • Survival Rate
  • Software
  • Sample Size
  • Research Design
  • Random Allocation
  • Proportional Hazards Models
  • Polymorphism, Single Nucleotide
  • Models, Genetic
  • Humans
  • Genome-Wide Association Study