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RAREMETAL: fast and powerful meta-analysis for rare variants

published in: Bioinformatics

date of publication: 2014-06-03

language: English

main subject: meta-analysis

Cites articles 13

Date

Title

Authors

2013-12-15

Meta-analysis of gene-level tests for rare variant association

Hugh Christian Watkins, Marju Orho-Melander, Kristian Hveem, Charles Kooperberg, He Zhang, Anuj Goel, Sekar Kathiresan, Olle Melander, Ulrike Peters, Paul L Auer, Gina M Peloso, Oddgeir L Holmen, Cristen J. Willer, Gonçalo Abecasis, Dajiang J Liu, Majid Nikpay, Ruth McPherson
2013-06-13

General framework for meta-analysis of rare variants in sequencing association studies

Michael Boehnke, Tanya M Teslovich, Xihong Lin
2013-05-21

MASS: meta-analysis of score statistics for sequencing studies
2011-09-01

A general framework for detecting disease associations with rare variants in sequencing studies
2011-07-07

Rare-variant association testing for sequencing data with the sequence kernel association test

Michael C Wu, Michael Boehnke, Xihong Lin, Tianxi Cai
2011-08-01

The variant call format and VCFtools

Richard M. Durbin, Klaudia Walter, Andreas Dahl, Vineet Bafna
2011-09-04

FaST linear mixed models for genome-wide association studies.

Christoph Lippert
2010-09-01

METAL: fast and efficient meta-analysis of genomewide association scans
2010-06-11

Pooled association tests for rare variants in exon-resequencing studies

Alkes Price
2010-03-07

Variance component model to account for sample structure in genome-wide association studies

Eleazar Eskin
2009-02-13

A groupwise association test for rare mutations using a weighted sum statistic

Sharon Browning
2008-08-07

Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data
2002-01

Merlin--rapid analysis of dense genetic maps using sparse gene flow trees

Stacey S. Cherny

Article - wd:Q34234801

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