scholarly journals Tag SNP selection in genotype data for maximizing SNP prediction accuracy

2005 ◽  
Vol 21 (Suppl 1) ◽  
pp. i195-i203 ◽  
Author(s):  
E. Halperin ◽  
G. Kimmel ◽  
R. Shamir
2017 ◽  
Vol 15 (01) ◽  
pp. 1750001 ◽  
Author(s):  
Bo Liao ◽  
Xiangjun Wang ◽  
Wen Zhu ◽  
Xiong Li ◽  
Lijun Cai ◽  
...  

Numerous approaches have been proposed for selecting an optimal tag single-nucleotide polymorphism (SNP) set. Most of these approaches are based on linkage disequilibrium (LD). Classical LD measures, such as D′ and r2, are frequently used to quantify the relationship between two marker (pairwise) linkage disequilibria. Despite of their successful use in many applications, these measures cannot be used to measure the LD between multiple-marker. These LD measures need information about the frequencies of alleles collected from haplotype dataset. In this study, a cluster algorithm is proposed to cluster SNPs according to multilocus LD measure which is based on information theory. After that, tag SNPs are selected in each cluster optimized by the number of tag SNPs, prediction accuracy and so on. The experimental results show that this new LD measure can be directly applied to genotype dataset collected from the HapMap project, so that it saves the cost of haplotyping. More importantly, the proposed method significantly improves the efficiency and prediction accuracy of tag SNP selection.


2018 ◽  
Vol 8 (10) ◽  
pp. 3255-3267 ◽  
Author(s):  
Genevieve L. Wojcik ◽  
Christian Fuchsberger ◽  
Daniel Taliun ◽  
Ryan Welch ◽  
Alicia R Martin ◽  
...  

2009 ◽  
Vol 9 (3) ◽  
pp. 269-282 ◽  
Author(s):  
Ofir Davidovich ◽  
Eran Halperin ◽  
Gad Kimmel ◽  
Ron Shamir

2016 ◽  
Vol 16 (4) ◽  
pp. 290
Author(s):  
N.A. �° ◽  
lhan �° ◽  
N.A. lhan ◽  
Gülay Tezel

2008 ◽  
Vol 72 (6) ◽  
pp. 834-847 ◽  
Author(s):  
B. Han ◽  
H. M. Kang ◽  
M. S. Seo ◽  
N. Zaitlen ◽  
E. Eskin

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