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Related Experiment Videos

Efficiency and power in genetic association studies.

Paul I W de Bakker1, Roman Yelensky, Itsik Pe'er

  • 1Center for Human Genetic Research, Massachusetts General Hospital, 185 Cambridge Street, CPZN-6818, Boston, Massachusetts 02114-2790, USA.

Nature Genetics
|October 26, 2005
PubMed
Summary
This summary is machine-generated.

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Selecting appropriate tag SNPs (single nucleotide polymorphisms) is crucial for genome-wide association studies (GWAS). A haplotype-based tagging method enhances efficiency and statistical power, even with incomplete reference panels.

Area of Science:

  • Genetics and Genomics
  • Statistical Genetics
  • Bioinformatics

Background:

  • Genome-wide association studies (GWAS) rely on selecting informative tag SNPs to efficiently survey genetic variation.
  • The choice of tag SNPs impacts the statistical power and cost-effectiveness of association studies.
  • Reference panels like HapMap are used for tag SNP selection, but their completeness can be a concern.

Purpose of the Study:

  • To investigate the relationship between genotyping investment and statistical power in tag SNP selection for GWAS.
  • To compare the efficiency and power of pairwise versus multimarker methods for tag SNP selection.
  • To assess the impact of incomplete reference panels on the power of tag SNP selection.

Main Methods:

  • Utilized genotype data from the HapMap ENCODE project.

Related Experiment Videos

  • Simulated association studies under a realistic disease model.
  • Employed empirical correction for multiple hypothesis testing.
  • Developed and evaluated a haplotype-based tagging method.

    • Main Results:

    • The proposed haplotype-based tagging method consistently outperformed single-marker tests and prioritization methods.
    • Tagging efficiency was significantly increased by methods that examined all observed haplotypes.
    • Power to detect rare causal alleles increased when considering all haplotypes, at a cost to detecting common causal alleles.
    • Statistical power remained robust despite using incomplete reference panels for tag SNP selection.

    Conclusions:

    • Haplotype-based tagging strategies offer superior efficiency and statistical power for GWAS.
    • Prioritizing tag SNPs by examining all observed haplotypes is beneficial for detecting rare variants.
    • The completeness of reference panels has a limited impact on the power of tag SNP selection in GWAS.