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Application of sequential haplotype scan methods to case-control data.

Zhaoxia Yu1, Daniel J Schaid

  • 1Division of Biostatistics, Department of Health Sciences Research, Mayo Clinic College of Medicine, Harwick 7, 200 First Street Southwest, Rochester, Minnesota 55905, USA. yu.zhaoxia@uci.edu

BMC Proceedings
|May 10, 2008
PubMed
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Selecting relevant genetic markers improves statistical power in association studies. Our new sequential haplotype scan method offers a powerful alternative for analyzing rheumatoid arthritis data, matching traditional methods and sometimes exceeding them.

Area of Science:

  • Genetics
  • Statistical genetics
  • Computational biology

Background:

  • Haplotype association studies can lack statistical power due to irrelevant markers.
  • Exhaustive marker combination searches are computationally intensive for genome-wide association studies.

Purpose of the Study:

  • To evaluate a novel sequential haplotype scan method for improving statistical power in genetic association analyses.
  • To apply the method to rheumatoid arthritis case-control data from Genetic Analysis Workshop 15.

Main Methods:

  • Application of a sequential haplotype scan method.
  • Analysis of case-control data for rheumatoid arthritis.
  • Inclusion of PTPN22 gene (chromosome 1p) and chromosome 18q association mapping data.

Related Experiment Videos

Main Results:

  • The sequential haplotype scan method demonstrated comparable or superior statistical power to traditional single-locus analysis.
  • The approach effectively analyzed complex genetic data for rheumatoid arthritis.

Conclusions:

  • The sequential haplotype scan method is a powerful and efficient tool for genetic association studies.
  • This method offers an improvement over traditional approaches, particularly for complex diseases like rheumatoid arthritis.