RAREMETAL: Fast and Powerful Meta-analysis for Rare Variants

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2014 Jun 5

PMID 24894501

Citations 66

Authors

Shuang Feng

Dajiang Liu

Xiaowei Zhan

Mary Kate Wing

Goncalo R Abecasis

Affiliations

Soon will be listed here.

Abstract

Summary: 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.

Availability And Implementation: http://genome.sph.umich.edu/wiki/RAREMETAL for executables, source code, documentation and tutorial.

Citing Articles

RAVAR: a curated repository for rare variant-trait associations.

Cao C, Shao M, Zuo C, Kwok D, Liu L, Ge Y Nucleic Acids Res. 2023; 52(D1):D990-D997.

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Trumpet plots: visualizing the relationship between allele frequency and effect size in genetic association studies.

Corte L, Liou L, OReilly P, Garcia-Gonzalez J GigaByte. 2023; 2023:gigabyte89.

PMID: 37711278 PMC: 10498096. DOI: 10.46471/gigabyte.89.

Identifying high-impact variants and genes in exomes of Ashkenazi Jewish inflammatory bowel disease patients.

Wu Y, Gettler K, Kars M, Giri M, Li D, Sevim Bayrak C Nat Commun. 2023; 14(1):2256.

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The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits.

Costanzo M, von Grotthuss M, Massung J, Jang D, Caulkins L, Koesterer R Cell Metab. 2023; 35(4):695-710.e6.

PMID: 36963395 PMC: 10231654. DOI: 10.1016/j.cmet.2023.03.001.

Whole-exome sequence analysis of anthropometric traits illustrates challenges in identifying effects of rare genetic variants.

Young K, Fisher V, Deng X, Brody J, Graff M, Lim E HGG Adv. 2022; 4(1):100163.

PMID: 36568030 PMC: 9772568. DOI: 10.1016/j.xhgg.2022.100163.

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