Principal component analysis for selection of optimal SNP-sets that capture intragenic genetic variation.

@article{Horne2004PrincipalCA,
  title={Principal component analysis for selection of optimal SNP-sets that capture intragenic genetic variation.},
  author={Benjamin D. Horne and Nicola J. Camp},
  journal={Genetic epidemiology},
  year={2004},
  volume={26 1},
  pages={11-21}
}
Candidate gene association studies often utilize one single nucleotide polymorphism (SNP) for analysis, with an initial report typically not being replicated by subsequent studies. The failure to replicate may result from incomplete or poor identification of disease-related variants or haplotypes, possibly due to naive SNP selection. A method for identification of linkage disequilibrium (LD) groups and selection of SNPs that capture sufficient intra-genic genetic diversity is described. We… CONTINUE READING

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