Path: a tool to facilitate pathway-based genetic association analysis

  title={Path: a tool to facilitate pathway-based genetic association analysis},
  author={David Zamar and Ben W. Tripp and George Ellis and Denise Daley},
SUMMARY Traditional methods of genetic study design and analysis work well under the scenario that a handful of single nucleotide polymorphisms (SNPs) independently contribute to the risk of disease. For complex diseases, susceptibility may be determined not by a single SNP, but rather a complex interplay between SNPs. For large studies involving hundreds of thousands of SNPs, a brute force search of all possible combinations of SNPs associated with disease is not only inefficient, but also… CONTINUE READING


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A Review on Methods for Detecting SNP Interactions in High-Dimensional Genomic Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics • 2018
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