The SNPMaP package for R: a framework for genome-wide association using DNA pooling on microarrays

被引：20

作者：

Davis, Oliver S. P. ^{[1
]}

Plomin, Robert ^{[1
]}

Schalkwyk, Leonard C. ^{[1
]}

机构：

[1] Kings Coll London, Inst Psychiat, Social Genet & Dev Psychiat Ctr, London SE5 8AF, England

来源：

BIOINFORMATICS | 2009年 / 25卷 / 02期

基金：

英国惠康基金; 英国医学研究理事会;

关键词：

POOLED DNA; IDENTIFICATION; SAMPLES; SCAN;

D O I：

10.1093/bioinformatics/btn587

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Large-scale genome-wide association (GWA) studies using thousands of high-density SNP microarrays are becoming an essential tool in the search for loci related to heritable variation in many phenotypes. However, the cost of GWA remains beyond the reach of many researchers. Fortunately, the majority of statistical power can still be obtained by estimating allele frequencies from DNA pools, reducing the cost to that of tens, rather than thousands of arrays. We present a set of software tools for processing SNPMaP (SNP microarrays and pooling) data from CEL files to Relative Allele Scores in the rich R statistical computing environment.

引用

页码：281 / 283

页数：3

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