Literature DB >> 25908790

MultiMeta: an R package for meta-analyzing multi-phenotype genome-wide association studies.

D Vuckovic1, P Gasparini2, N Soranzo3, V Iotchkova4.   

Abstract

UNLABELLED: As new methods for multivariate analysis of genome wide association studies become available, it is important to be able to combine results from different cohorts in a meta-analysis. The R package MultiMeta provides an implementation of the inverse-variance-based method for meta-analysis, generalized to an n-dimensional setting.
AVAILABILITY AND IMPLEMENTATION: The R package MultiMeta can be downloaded from CRAN. CONTACT: dragana.vuckovic@burlo.trieste.it; vi1@sanger.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 25908790      PMCID: PMC4528637          DOI: 10.1093/bioinformatics/btv222

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

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2.  METAL: fast and efficient meta-analysis of genomewide association scans.

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3.  A mixed-model approach for genome-wide association studies of correlated traits in structured populations.

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Journal:  Nat Genet       Date:  2012-08-19       Impact factor: 38.330

4.  Efficient multivariate linear mixed model algorithms for genome-wide association studies.

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  4 in total
  10 in total

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7.  Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43,870 individuals from the eMERGE network.

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8.  Genome-Wide Association Study and Subsequent Exclusion of ATCAY as a Candidate Gene Involved in Equine Neuroaxonal Dystrophy Using Two Animal Models.

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9.  Proteomics Combined with RNA Sequencing to Screen Biomarkers of Sepsis.

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10.  Computationally efficient, exact, covariate-adjusted genetic principal component analysis by leveraging individual marker summary statistics from large biobanks.

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  10 in total

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