PARP2_summary: Summary statistics of gene PARP2 from CECILE study
In GCPBayes: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure
PARP2_summary R Documentation
Summary statistics of gene PARP2 from CECILE study
Description
The summary statistics data for PARP2 protein coding gene including beta and standard error for pleiotropy investigation of breast and thyroid cancers.
Usage
PARP2_summary
Format
A list which contains two matrices for the summary statistics of each study.
- Breast
Summary statitics of breast cancer including the name of SNPs, beta and se
- Thyroid
Summary statitics of thyroid cancer including the name of SNPs, beta and se
References
-
Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021). Bayesian meta analysis models for cross cancer genomic investigation of pleiotropic effects using group structure. Statistics in Medicine, 40(6), 1498-1518.
-
Baghfalaki, T., Sugier, Y. Asgari, P. E., Truong, & Liquet, B. (2021). GCPBayes: An R Package for Studying Cross-Phenotype Genetic Associations with Group-Level Bayesian Meta-Analysis. Submitted.
See Also
GCPBayes
GCPBayes documentation built on May 29, 2024, 3:30 a.m.
R Package Documentation
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| PARP2_summary | R Documentation |
Summary statistics of gene PARP2 from CECILE study
Description
The summary statistics data for PARP2 protein coding gene including beta and standard error for pleiotropy investigation of breast and thyroid cancers.
Usage
PARP2_summary
Format
A list which contains two matrices for the summary statistics of each study.
- Breast
Summary statitics of breast cancer including the name of SNPs, beta and se
- Thyroid
Summary statitics of thyroid cancer including the name of SNPs, beta and se
References
-
Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021). Bayesian meta analysis models for cross cancer genomic investigation of pleiotropic effects using group structure. Statistics in Medicine, 40(6), 1498-1518.
-
Baghfalaki, T., Sugier, Y. Asgari, P. E., Truong, & Liquet, B. (2021). GCPBayes: An R Package for Studying Cross-Phenotype Genetic Associations with Group-Level Bayesian Meta-Analysis. Submitted.
See Also
GCPBayes
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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