MixMAP: An R Package for Mixed Modeling of Meta-Analysis $p$ Values in Genetic Association Studies
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| Authors | Gregory J. Matthews, Andrea S. Foulkes |
| Journal/Conference Name | JOURNAL OF STATISTICAL SOFTWARE |
| Paper Category | Other |
| Paper 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 of publication | 2015 |
| Code Programming Language | R |
| Comment |
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