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sumFREGAT: Fast Region-Based Association Tests on Summary Statistics
An adaptation of classical region/gene-based association analysis techniques to the use of summary statistics (P values and effect sizes) and correlations between genetic variants as input. It is a tool to perform the most popular and efficient gene-based tests using the results of genome-wide association (meta-)analyses without having the original genotypes and phenotypes at hand. See for details: Svishcheva et al (2019) Gene-based association tests using GWAS summary statistics. Bioinformatics. Belonogova et al (2022) SumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics. PLOS Comp Biol.
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Package details |
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| Author | Nadezhda M. Belonogova <belon@bionet.nsc.ru> and Gulnara R. Svishcheva <gulsvi@bionet.nsc.ru> with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Thomas Lumley ('kuonen' method), Minghui Wang, Yiyuan Liu, Shizhong Han (simpleM function), Yaowu Liu (ACAT function), James O. Ramsay (functional data analysis functions), Xihao Li, Zilin Li, and Han Chen (conception of the STAAR procedure) |
| Maintainer | Nadezhda M. Belonogova <belon@bionet.nsc.ru> |
| License | GPL-3 |
| Version | 1.2.5 |
| Package repository | View on CRAN |
| Installation |
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