Literature DB >> 18057020

Association studies for untyped markers with TUNA.

Xiaoquan Wen1, Dan L Nicolae.   

Abstract

UNLABELLED: The software package TUNA (Testing UNtyped Alleles) implements a fast and efficient algorithm for testing association of genotyped and ungenotyped variants in genome-wide case-control studies. TUNA uses Linkage Disequilibrium (LD) information from existing comprehensive variation datasets such as HapMap to construct databases of frequency predictors using linear combination of haplotype frequencies of genotyped SNPs. The predictors are used to estimate untyped allele frequencies, and to perform association tests. The methods incorporated in TUNA achieve great accuracy in estimation, and the software is computationally efficient and does not demand a lot of system memory and CPU resources. AVAILABILITY: The software package is available for download from the website: http://www.stat.uchicago.edu/~wen/tuna/.

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Year:  2007        PMID: 18057020      PMCID: PMC4051297          DOI: 10.1093/bioinformatics/btm603

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


  7 in total

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5.  Coverage and characteristics of the Affymetrix GeneChip Human Mapping 100K SNP set.

Authors:  Dan L Nicolae; Xiaoquan Wen; Benjamin F Voight; Nancy J Cox
Journal:  PLoS Genet       Date:  2006-05-05       Impact factor: 5.917

6.  Imputation-based analysis of association studies: candidate regions and quantitative traits.

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Journal:  PLoS Genet       Date:  2007-05-30       Impact factor: 5.917

7.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
Journal:  Nature       Date:  2007-06-07       Impact factor: 49.962

  7 in total
  10 in total

1.  Restricted parameter space models for testing gene-gene interaction.

Authors:  Minsun Song; Dan L Nicolae
Journal:  Genet Epidemiol       Date:  2009-07       Impact factor: 2.135

2.  ATRIUM: testing untyped SNPs in case-control association studies with related individuals.

Authors:  Zuoheng Wang; Mary Sara McPeek
Journal:  Am J Hum Genet       Date:  2009-11       Impact factor: 11.025

3.  DNA mismatch repair MSH2 gene-based SNP associated with different populations.

Authors:  Zainularifeen Abduljaleel; Faisal A Al-Allaf; Wajahatullah Khan; Mohammad Athar; Naiyer Shahzad; Mohiuddin M Taher; Mohammed Alanazi; Mohamed Elrobh; Narasimha P Reddy
Journal:  Mol Genet Genomics       Date:  2014-02-22       Impact factor: 3.291

4.  Type 2 deiodinase and host responses of sepsis and acute lung injury.

Authors:  Shwu-Fan Ma; Lishi Xie; Maria Pino-Yanes; Saad Sammani; Michael S Wade; Eleftheria Letsiou; Jessica Siegler; Ting Wang; Giovanni Infusino; Rick A Kittles; Carlos Flores; Tong Zhou; Bellur S Prabhakar; Liliana Moreno-Vinasco; Jesus Villar; Jeffrey R Jacobson; Steven M Dudek; Joe G N Garcia
Journal:  Am J Respir Cell Mol Biol       Date:  2011-06-17       Impact factor: 6.914

5.  Interleukin-1 receptor-associated kinase 3 gene associates with susceptibility to acute lung injury.

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Journal:  Am J Respir Cell Mol Biol       Date:  2011-02-04       Impact factor: 6.914

6.  Gene, region and pathway level analyses in whole-genome studies.

Authors:  Omar De la Cruz; Xiaoquan Wen; Baoguan Ke; Minsun Song; Dan L Nicolae
Journal:  Genet Epidemiol       Date:  2010-04       Impact factor: 2.135

Review 7.  Single-nucleotide polymorphism bioinformatics: a comprehensive review of resources.

Authors:  Andrew D Johnson
Journal:  Circ Cardiovasc Genet       Date:  2009-10

8.  Linkage disequilibrium based genotype calling from low-coverage shotgun sequencing reads.

Authors:  Jorge Duitama; Justin Kennedy; Sanjiv Dinakar; Yözen Hernández; Yufeng Wu; Ion I Măndoiu
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

9.  Jackknife-based gene-gene interactiontests for untyped SNPs.

Authors:  Minsun Song
Journal:  BMC Genet       Date:  2015-07-18       Impact factor: 2.797

10.  DIST: direct imputation of summary statistics for unmeasured SNPs.

Authors:  Donghyung Lee; T Bernard Bigdeli; Brien P Riley; Ayman H Fanous; Silviu-Alin Bacanu
Journal:  Bioinformatics       Date:  2013-08-28       Impact factor: 6.937

  10 in total

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