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Journal Articles Genetic Epidemiology Year : 2007

Multistage designs in the genomic era: providing balance in complex disease studies.

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Elizabeth Hauser
  • Function : Correspondent author
  • PersonId : 861409

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Hatef Darabi
  • Function : Author
Jing Li
  • Function : Author
Amina Barhdadi
  • Function : Author
Xuexia Wang
  • Function : Author
Quiying Sha
  • Function : Author
Zhaogong Zhang
  • Function : Author
Tao Wang
Mickael Guedj
  • Function : Author
Rori Rohlfs
  • Function : Author
Amy Anderson
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Chelsea Taylor
  • Function : Author
Lucia Mirea
  • Function : Author
Radoslav Nickolov
  • Function : Author
Valentin Milanov
  • Function : Author
Hsin-Chao Yang
  • Function : Author
Yeunjoo Song
  • Function : Author
Ritwik Sinha
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Abstract

In this summary paper, we describe the contributions included in the Multistage Design group (Group 14) at the Genetic Analysis Workshop 15, which was held during November 12-14, 2006. Our group contrasted and compared different approaches to reducing complexity in a genetic study through implementation of staged designs. Most groups used the simulated dataset (problem 3), which provided ample opportunities for evaluating various staged designs. A wide range of multistage designs that targeted different aspects of complexity were explored. We categorized these approaches as reducing phenotypic complexity, model complexity, analytic complexity or genetic complexity. In general we learned that: (1) when staged designs are carefully planned and implemented, the power loss compared to a single-stage analysis can be minimized and study cost is greatly reduced; (2) a joint analysis of the results from each stage is generally more powerful than treating the second stage as a replication analysis.

Dates and versions

inserm-00399067 , version 1 (25-06-2009)

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Marie-Pierre Dubé, Silke Schmidt, Elizabeth Hauser, Hatef Darabi, Jing Li, et al.. Multistage designs in the genomic era: providing balance in complex disease studies.. Genetic Epidemiology, 2007, 31 Suppl 1, pp.S118-23. ⟨10.1002/gepi.20288⟩. ⟨inserm-00399067⟩

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