MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies

Gregory J. Matthews and Andrea S. Foulkes

Journal of Statistical Software, 2015, vol. 066, issue c03

Abstract: Genetic association studies are commonly conducted to identify genes that explain the variability in a measured trait (e.g., disease status or disease progression). Often, results of these studies are summarized in the form of a p value corresponding to a test of association between each single nucleotide polymorphisms (SNPs) and the trait under study. As genes are comprised of multiple SNPs, post hoc approaches are generally applied to determine gene-level association. For example, if any SNP within a gene is significantly associated with the trait at a genome-wide significance level (p

Date: 2015-08-26
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v066c03/v66c03.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... /MixMAP_1.3.4.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v066c03/v66c03.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:066:c03

DOI: 10.18637/jss.v066.c03

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().