| Package: | ARTP2 |
| Type: | Package |
| Version: | 0.9.22 |
| Date: | 2016-02-11 |
| License: | GPL-2 | GPL-3 |
It is increasingly recognized that pathway analyses, a joint test of association between the outcome and a group of single nucleotide polymorphisms (SNPs) within a biological pathway, could potentially complement single-SNP analysis and provide additional insights for the genetic architecture of complex diseases. Building upon existing P-value combining methods, we propose a class of highly flexible pathway analysis approaches based on an adaptive rank truncated product statistic that can effectively combine evidence of associations over different SNPs and genes within a pathway. The statistical significance of the pathway-level test statistics is evaluated using a highly efficient permutation algorithm that remains computationally feasible irrespective of the size of the pathway and complexity of the underlying test statistics for summarizing SNP- and gene-level associations.
The main functions in this package are
sARTP when only summary level data are available,
rARTP when genotype data are available, and
warm.start for computing gene and pathway p-values when previously save information is available.
Yu K, Li Q, Bergen AW, Pfeiffer RM, Rosenberg PS, Caporaso N, Kraft P, Chatterjee N. (2009) Pathway analysis by adaptive combination of P-values. Genet Epidemiol 33(8): 700 - 709
Zhang H, Shi J, Liang F, Wheeler W, Stolzenberg-Solomon R, Yu K. (2014) A fast multilocus test with adaptive SNP selection for large-scale genetic association studies. European Journal of Human Genetics, 22, 696 - 702