rareMETALS implements our methodologies for performing rare variant associations using summary level statistics. By sharing information on the single variant score statistics, and their variance-covariance matrix, a variety of rare variant association test can be performed centrally. The set of gene-level rare variant tests include simple or weighted burden test, sequence kernel association test, and variable threshold test. The user can also determine the set of variants they want to include in the gene-level test centrally.Additional features for rareMETALS package include 1.) A monte-carlo method for evaluating statistical significance empirically 2.) methods for performing conditional association analysis and dissecting independent association signals.
Package details |
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Author | Dajiang J. Liu, Xiaowei Zhan & Goncalo R. Abecasis |
Maintainer | Dajiang J. Liu <dajiang.liu@outlook.com> |
License | GPL3 |
Version | 7.1 |
Package repository | View on GitHub |
Installation |
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