有哪些信誉好的足球投注网站synthesis-view visualization and interpretation of snp association results for multi-cohort, multi-phenotype data and meta-analysissynthesis-view可视化multi-cohort snp协会和解释结果,multi-phenotype数据和荟萃分析.pdfVIP
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synthesis-view visualization and interpretation of snp association results for multi-cohort, multi-phenotype data and meta-analysissynthesis-view可视化multi-cohort snp协会和解释结果,multi-phenotype数据和荟萃分析
Pendergrass et al. BioData Mining 2010, 3:10
/content/3/1/10 BioData Mining
SOFTWARE ARTICLE Open Access
Synthesis-View: visualization and interpretation of
SNP association results for multi-cohort, multi-
phenotype data and meta-analysis
1 1 1,2 1,2*
Sarah A Pendergrass , Scott M Dudek , Dana C Crawford , Marylyn D Ritchie
* Correspondence: ritchie@chgr.mc. Abstract
1Center for Human Genetics
Background: Initial genome-wide association study (GWAS) discoveries are being
Research, Vanderbilt University
Medical Center, Nashville TN, USA further explored through the use of large cohorts across multiple and diverse
populations involving meta-analyses within large consortia and networks. Many of
the additional studies characterize less than 100 single nucleotide polymorphisms
(SNPs), often include multiple and correlated phenotypic measurements, and can
include data from multiple-sites, multiple-studies, as well as multiple race/ethnicities.
New approaches for visualizing resultant data are necessary in order to fully interpret
results and obtain a broad view of the trends between DNA variation and
phenotypes, as well as provide information on specific SNP and phenotype
relationships.
Results: The Synthesis-View software tool was designed to visually synthesize the
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