Tag Archives: meta analysis

New SVS Meta-Analysis Example Project


New SVS Meta-Analysis Example Project The latest version of the GWAS E-book featured a chapter on Meta-Analysis. We are pleased to make the project used in this chapter available as an example project for SVS (SNP & Variation Suite). This blog post will walk you through the analysis steps used in the example project. This information is also contained in… Read more »

Visualizing Meta-Analysis results with a Forest Plot

We have just released SVS version 8.4.2, and included in the release is a new script for visualizing Meta-Analysis results with a Forest Plot. You can find full details on all the new and updated features included with the update in our Release Notes. Release Notes from all our software products can be found on our Support Bulletin web page… Read more »

Meta-Analysis is now available in SVS!

Earlier this spring we announced that Meta-Analysis was coming to SVS very soon. Now, I am pleased to announce that it is available in the latest release of SVS (version 8.4.0). Meta-Analysis takes the results of two or more GWAS studies for multiple SNPs or markers, and standard meta-analysis statistics are then performed on each SNP and the results compiled into… Read more »

Comparing Meta-Analysis Methods: A Meta Examination


Meta-analysis is an important tool to have in the bioinformatics toolbox. The numbers alone speak for themselves. It is the fourth most requested feature for SVS, and a simple google scholar search for 2014 and 2015 find 17,300 results for genetics + meta-analysis. There are several meta-analysis utilities out there that will take results from studies and perform the meta-analysis…. Read more »

Cross-Validation for Genomic Prediction in SVS

The SNP and Variation Suite (SVS) software currently supports three methods for genomic prediction: Genomic Best Linear Unbiased Predictors (GBLUP), Bayes C and Bayes C-pi. We have discussed these methods extensively in previous blogs and webcast events.  Although there are extensive applications for these methods, they are primarily used for trait selection in agricultural genetics. Each method can be used… Read more »