Literature DB >> 16269414

An efficient comprehensive search algorithm for tagSNP selection using linkage disequilibrium criteria.

Zhaohui S Qin1, Shyam Gopalakrishnan, Gonçalo R Abecasis.   

Abstract

MOTIVATION: Selecting SNP markers for genome-wide association studies is an important and challenging task. The goal is to minimize the number of markers selected for genotyping in a particular platform and therefore reduce genotyping cost while simultaneously maximizing the information content provided by selected markers.
RESULTS: We devised an improved algorithm for tagSNP selection using the pairwise r(2) criterion. We first break down large marker sets into disjoint pieces, where more exhaustive searches can replace the greedy algorithm for tagSNP selection. These exhaustive searches lead to smaller tagSNP sets being generated. In addition, our method evaluates multiple solutions that are equivalent according to the linkage disequilibrium criteria to accommodate additional constraints. Its performance was assessed using HapMap data. AVAILABILITY: A computer program named FESTA has been developed based on this algorithm. The program is freely available and can be downloaded at http://www.sph.umich.edu/csg/qin/FESTA/

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Year:  2005        PMID: 16269414     DOI: 10.1093/bioinformatics/bti762

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


  20 in total

1.  Efficient selection of tagging single-nucleotide polymorphisms in multiple populations.

Authors:  Bryan N Howie; Christopher S Carlson; Mark J Rieder; Deborah A Nickerson
Journal:  Hum Genet       Date:  2006-05-06       Impact factor: 4.132

2.  A novel method combining linkage disequilibrium information and imputed functional knowledge for tagSNP selection.

Authors:  R H Rochat; L de las Fuentes; G Stormo; V G Davila-Roman; C Charles Gu
Journal:  Hum Hered       Date:  2007-06-22       Impact factor: 0.444

3.  TAGster: efficient selection of LD tag SNPs in single or multiple populations.

Authors:  Zongli Xu; Norman L Kaplan; Jack A Taylor
Journal:  Bioinformatics       Date:  2007-09-07       Impact factor: 6.937

4.  Efficiently identifying significant associations in genome-wide association studies.

Authors:  Emrah Kostem; Eleazar Eskin
Journal:  J Comput Biol       Date:  2013-09-14       Impact factor: 1.479

5.  Efficient genome-wide TagSNP selection across populations via the linkage disequilibrium criterion.

Authors:  Lan Liu; Yonghui Wu; Stefano Lonardi; Tao Jiang
Journal:  J Comput Biol       Date:  2010-01       Impact factor: 1.479

6.  Increasing power of genome-wide association studies by collecting additional single-nucleotide polymorphisms.

Authors:  Emrah Kostem; Jose A Lozano; Eleazar Eskin
Journal:  Genetics       Date:  2011-04-05       Impact factor: 4.562

7.  Family-based association analysis to finemap bipolar linkage peak on chromosome 8q24 using 2,500 genotyped SNPs and 15,000 imputed SNPs.

Authors:  Peng Zhang; Nan Xiang; Yi Chen; Elżbieta Sliwerska; Melvin G McInnis; Margit Burmeister; Sebastian Zöllner
Journal:  Bipolar Disord       Date:  2010-12       Impact factor: 6.744

8.  Family-based SNP association study on 8q24 in bipolar disorder.

Authors:  Peter P Zandi; Sebastian Zöllner; Dimitrios Avramopoulos; Virginia L Willour; Yi Chen; Zhaohui S Qin; Margit Burmeister; Kuangyi Miao; Shyam Gopalakrishnan; Richard McEachin; James B Potash; J Raymond Depaulo; Melvin G McInnis
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2008-07-05       Impact factor: 3.568

9.  Efficient association study design via power-optimized tag SNP selection.

Authors:  B Han; H M Kang; M S Seo; N Zaitlen; E Eskin
Journal:  Ann Hum Genet       Date:  2008-08-13       Impact factor: 1.670

10.  Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels.

Authors:  Jose L Gualdrón Duarte; Ronald O Bates; Catherine W Ernst; Nancy E Raney; Rodolfo J C Cantet; Juan P Steibel
Journal:  BMC Genet       Date:  2013-05-08       Impact factor: 2.797

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