sumFREGAT-package

<p>The sumFREGAT package computes the most popular and efficient
	tests for the region-based association analysis using summary statistics data
	(beta and P values) and correlations between genetic variants. It does not
	require genotype or phenotype data. Methods implemented are SKAT and SKAT-O
	(sequence kernel association tests), BT (burden test), ACAT (aggregated Cauchy
	association test), FLM (functional linear model), PCA (principal components analysis),
	and others.</p>

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.

Nadezhda M Belonogova

sumFREGAT-package: sumFREGAT: Fast REGional Association Tests on summary statistics

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