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Related Experiment Videos

Multistage sampling for genetic studies.

Robert C Elston1, Danyu Lin, Gang Zheng

  • 1Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA. rce@darwin.case.edu

Annual Review of Genomics and Human Genetics
|May 18, 2007
PubMed
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This study explores efficient genetic analysis methods for Mendelian and complex diseases. It highlights cost-effective two-stage genome-wide association studies (GWAS) and pooled DNA sampling strategies.

Area of Science:

  • Genetics
  • Genomics
  • Biostatistics

Background:

  • Traditional genetic studies for Mendelian and complex diseases involved multi-stage analyses including segregation, linkage, and association studies.
  • Recent advances enable genome-wide association studies (GWAS) with numerous genetic markers.

Purpose of the Study:

  • To evaluate efficient sampling designs for genome-wide association studies (GWAS).
  • To assess the cost-effectiveness of two-stage designs and pooled DNA sampling.

Main Methods:

  • Review of established genetic analysis methodologies.
  • Focus on two-stage association sampling designs for GWAS.
  • Consideration of pooled DNA genotyping strategies.

Main Results:

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  • Two-stage association sampling designs offer nearly optimal statistical power at reduced genotyping costs.
  • Pooled DNA genotyping can be a viable cost-saving option when DNA pooling costs are justified.
  • Family data sampling for linkage analysis remains a valuable practice.

Conclusions:

  • Efficient sampling designs like two-stage GWAS and pooled DNA genotyping can significantly reduce costs.
  • Linkage analysis using family data should not be disregarded.
  • Optimized study designs are crucial for advancing genetic disease research.