About this webinar

Recorded On: Wednesday, August 9, 2017

In this webcast we focus on the recent improvements to our research product SNP & Variation Suite. Over the past 12 months, we have continued to expand on the tools SVS provides to the researcher doing association studies, whether from standard GWAS workflows or complex custom Large-N studies.

Based on user requests, we have added features from a couple of recent papers and their corresponding method packages to compute heritability estimates, understand the genetic correlation between two traits and improve our GBLUP methods to correct for gene by environmental factors.

In this webcast, we review these new additions and how they fit into the existing SVS research platform. We will cover:

• How to differentiate inflated correlation from population structure using LD Regression Score heritability estimates
• Alternative options for computing the genomic relationship matrix (GRM) including the option to correct for gene by environment interactions
• Compare the genetic component of two traits using both heritability scores and bivariate GBLUP analysis

SVS continues to move forward based on the ongoing feedback of the user community, and in this webcast we share the highlights of these recent user-driven features and how they improve the SVS workflows for advanced genotype analysis.