MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies
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 nucl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2015-08-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/2280 |
| _version_ | 1811345256185069568 |
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| author | Gregory J. Matthews Andrea S. Foulkes |
| author_facet | Gregory J. Matthews Andrea S. Foulkes |
| author_sort | Gregory J. Matthews |
| collection | DOAJ |
| description | 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 < 5 x 10e-8), then the corresponding gene is considered significant. A complementary strategy, termed mix ed modeling of meta-analysis p values (MixMAP) was proposed recently to characterize formally the associations between genes (or gene regions) and a trait based on multiple SNP-level p values. Here, the MixMAP package is presented as a means for implementing the MixMAP procedure in R. |
| first_indexed | 2024-04-13T20:00:31Z |
| format | Article |
| id | doaj.art-80b61455105c49668ffe2cff3b474e9e |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-04-13T20:00:31Z |
| publishDate | 2015-08-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-80b61455105c49668ffe2cff3b474e9e2022-12-22T02:32:13ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602015-08-0166111110.18637/jss.v066.c03884MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association StudiesGregory J. MatthewsAndrea S. FoulkesGenetic 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 < 5 x 10e-8), then the corresponding gene is considered significant. A complementary strategy, termed mix ed modeling of meta-analysis p values (MixMAP) was proposed recently to characterize formally the associations between genes (or gene regions) and a trait based on multiple SNP-level p values. Here, the MixMAP package is presented as a means for implementing the MixMAP procedure in R.http://www.jstatsoft.org/index.php/jss/article/view/2280 |
| spellingShingle | Gregory J. Matthews Andrea S. Foulkes MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies Journal of Statistical Software |
| title | MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies |
| title_full | MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies |
| title_fullStr | MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies |
| title_full_unstemmed | MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies |
| title_short | MixMAP: An R Package for Mixed Modeling of Meta-Analysis p Values in Genetic Association Studies |
| title_sort | mixmap an r package for mixed modeling of meta analysis p values in genetic association studies |
| url | http://www.jstatsoft.org/index.php/jss/article/view/2280 |
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