针对未分型标记物与经皮经尿道针刺消融术的关联研究。
Association studies for untyped markers with TUNA.
作者信息
Wen Xiaoquan, Nicolae Dan L
机构信息
Department of Statistics, Chicago, IL 60637, USA.
出版信息
Bioinformatics. 2008 Feb 1;24(3):435-7. doi: 10.1093/bioinformatics/btm603. Epub 2007 Dec 5.
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/.
摘要
未标注
软件包TUNA（测试无类型等位基因）实现了一种快速高效的算法，用于在全基因组病例对照研究中测试基因型和无类型变异的关联性。TUNA利用来自现有综合变异数据集（如HapMap）的连锁不平衡（LD）信息，通过对已分型单核苷酸多态性（SNP）的单倍型频率进行线性组合来构建频率预测数据库。这些预测器用于估计无类型等位基因频率，并进行关联性测试。TUNA中纳入的方法在估计方面具有很高的准确性，该软件计算效率高，不需要大量的系统内存和CPU资源。
可用性
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