Two-stage designs for gene-disease association studies Journal Article


Authors: Satagopan, J. M.; Verbel, D. A.; Venkatraman, E. S.; Offit, K. E.; Begg, C. B.
Article Title: Two-stage designs for gene-disease association studies
Abstract: The goal of this article is to describe a two-stage design that maximizes the power to detect gene-disease associations when the principal design constraint is the total cost, represented by the total number of gene evaluations rather than the total number of individuals. In the first stage, all genes of interest are evaluated on a subset of individuals. The most promising genes are then evaluated on additional subjects in the second stage. This will eliminate wastage of resources on genes unlikely to be associated with disease based on the results of the first stage. We consider the case where the genes are correlated and the case where the genes are independent. Using simulation results, it is shown that, as a general guideline when the genes are independent or when the correlation is small, utilizing 75% of the resources in stage 1 to screen all the markers and evaluating the most promising 10% of the markers with the remaining resources provides near-optimal power for a broad range of parametric configurations. This translates to screening all the markers on approximately one quarter of the required sample size in stage 1.
Keywords: genetics; case-control studies; polymorphism, single nucleotide; cancer risk; genetic analysis; disease association; breast neoplasms; risk; gene number; genes, brca1; genes, brca2; genetic susceptibility; models, genetic; computer simulation; disease predisposition; genetic screening; germ-line mutation; marker gene; biometry; disease; optimal design; parametric test; power; humans; human; female; article; cost constraint; gaussian approximation
Journal Title: Biometrics
Volume: 58
Issue: 1
ISSN: 0006-341X
Publisher: Wiley Blackwell  
Date Published: 2002-03-01
Start Page: 163
End Page: 170
Language: English
PUBMED: 11890312
PROVIDER: scopus
DOI: 10.1111/j.0006-341X.2002.00163.x
DOI/URL:
Notes: Export Date: 14 November 2014 -- Source: Scopus
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MSK Authors
  1. Venkatraman Ennapadam Seshan
    385 Seshan
  2. Kenneth Offit
    791 Offit
  3. Colin B Begg
    307 Begg
  4. Jaya M Satagopan
    141 Satagopan
  5. David A Verbel
    20 Verbel