Despite the recent advances of modern GWAS methods, it still remains an important problem of addressing calculation an effect size and corresponding p-value for the whole gene rather than for single variant. The R- package rqt offers gene-level GWAS meta-analysis. For more information, see: "Gene-set association tests for next-generation sequencing data" by Lee et al (2016), Bioinformatics, 32(17), i611-i619, <doi:10.1093/bioinformatics/btw429>.
|Author||I. Y. Zhbannikov, K. G. Arbeev, A. I. Yashin.|
|Bioconductor views||GenomeWideAssociation PrincipalComponent Regression Sequencing StatisticalMethod Survival|
|Maintainer||Ilya Y. Zhbannikov <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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