RAREMETAL: Fast and powerful meta-analysis for rare variants

Shuang Feng; Dajiang Liu; Xiaowei Zhan; Mary Kate Wing; Gonçalo R. Abecasis

doi:10.1093/bioinformatics/btu367

RAREMETAL: Fast and powerful meta-analysis for rare variants

Shuang Feng, Dajiang Liu, Xiaowei Zhan, Mary Kate Wing, Gonçalo R. Abecasis

Research output: Contribution to journal › Article › peer-review

83 Scopus citations

Abstract

RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses.

Original language	English (US)
Pages (from-to)	2828-2829
Number of pages	2
Journal	Bioinformatics
Volume	30
Issue number	19
DOIs	https://doi.org/10.1093/bioinformatics/btu367
State	Published - Apr 2 2014

All Science Journal Classification (ASJC) codes

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btu367

Cite this

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abstract = "RAREMETAL is a computationally efficient tool for meta-analysis of rare variants genotyped using sequencing or arrays. RAREMETAL facilitates analyses of individual studies, accommodates a variety of input file formats, handles related and unrelated individuals, executes both single variant and burden tests and performs conditional association analyses.",

author = "Shuang Feng and Dajiang Liu and Xiaowei Zhan and Wing, {Mary Kate} and Abecasis, {Gon{\c c}alo R.}",

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AU - Zhan, Xiaowei

AU - Wing, Mary Kate

AU - Abecasis, Gonçalo R.

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RAREMETAL: Fast and powerful meta-analysis for rare variants

Abstract

All Science Journal Classification (ASJC) codes

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