package: The REBET package
In REBET: The subREgion-based BurdEn Test (REBET)
Description
Details
Author(s)
References
Description
An R package for the subREgion-based BurdEn Test (REBET).
Details
In rare-variant association studies, aggregating rare and/or low frequency variants,
may increase statistical power for detection of the underlying susceptibility gene or region.
However, it is unclear which variants, or class of them, in a gene contribute most to the association.
This subregion-based burden test (REBET) simultaneously selects susceptibility genes and
identifies important underlying sub-regions.
The sub-regions are predefined based on shared common biologic characteristics,
such as the protein domain or possible functional impact.
Based on a subset-based approach considering local correlations between combinations
of test statistics of sub-regions, REBET is able to properly control the type I error rate
while adjusting for multiple comparisons in a computationally efficient manner.
See the reference for the details of this test.
The main function in this package is rebet, which performs the REBET test.
Author(s)
Bin Zhu <bin.zhu@nih.gov>, Lisa Mirabello and Nilanjan Chatterjee
References
Zhu, B., Mirabello, L., Chatterjee, N. (2018) A Subregion-based Burden Test for
Simultaneous Identification of Susceptibility Loci and Sub-regions within
Genetic Epidemiology.
In press. https://doi.org/10.1002/gepi.22134
REBET documentation built on Nov. 8, 2020, 8:27 p.m.
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Description Details Author(s) References
Description
An R package for the subREgion-based BurdEn Test (REBET).
Details
In rare-variant association studies, aggregating rare and/or low frequency variants,
may increase statistical power for detection of the underlying susceptibility gene or region.
However, it is unclear which variants, or class of them, in a gene contribute most to the association.
This subregion-based burden test (REBET) simultaneously selects susceptibility genes and
identifies important underlying sub-regions.
The sub-regions are predefined based on shared common biologic characteristics,
such as the protein domain or possible functional impact.
Based on a subset-based approach considering local correlations between combinations
of test statistics of sub-regions, REBET is able to properly control the type I error rate
while adjusting for multiple comparisons in a computationally efficient manner.
See the reference for the details of this test.
The main function in this package is rebet, which performs the REBET test.
Author(s)
Bin Zhu <bin.zhu@nih.gov>, Lisa Mirabello and Nilanjan Chatterjee
References
Zhu, B., Mirabello, L., Chatterjee, N. (2018) A Subregion-based Burden Test for Simultaneous Identification of Susceptibility Loci and Sub-regions within Genetic Epidemiology. In press. https://doi.org/10.1002/gepi.22134
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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