ARTP2-package: Pathway and Gene-Level Association Test
In zhangh12/ARTP3: Pathway and Gene-Level Association Test
Description
Details
Author(s)
References
Description
Pathway and gene level association test using raw data or summary statistics.
Details
Package: ARTP2
Type: Package
Version: 0.9.42
Date: 2018-02-05
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.
Author(s)
Han Zhang, Bill Wheeler, Kai Yu, Yifan Yang
Maintainer: Han Zhang <han.zhang2@nih.gov>
References
Zhang H, Wheeler W, Hyland LP, Yang Y, Shi J, Chatterjee N, Yu K. (2016) A powerful procedure for pathway-based meta-analysis using summary statistics identifies 43 pathways associated with type II diabetes in European populations. PLoS Genetics 12(6): e1006122
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
zhangh12/ARTP3 documentation built on Aug. 16, 2019, 7:39 p.m.
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Description Details Author(s) References
Description
Pathway and gene level association test using raw data or summary statistics.
Details
| Package: | ARTP2 |
| Type: | Package |
| Version: | 0.9.42 |
| Date: | 2018-02-05 |
| 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.
Author(s)
Han Zhang, Bill Wheeler, Kai Yu, Yifan Yang
Maintainer: Han Zhang <han.zhang2@nih.gov>
References
Zhang H, Wheeler W, Hyland LP, Yang Y, Shi J, Chatterjee N, Yu K. (2016) A powerful procedure for pathway-based meta-analysis using summary statistics identifies 43 pathways associated with type II diabetes in European populations. PLoS Genetics 12(6): e1006122
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
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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