New Enhancements: GWAS Workflows with SVS


Date: Wednesday, August 9, 2017

Presenter: Gabe Rudy, VP of Product and Engineering

Duration: 60 Minutes

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Slides

GWAS workflows in SVS

Abstract

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 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.

About the Presenter

Gabe Rudy

Gabe Rudy is GHI's Vice President of Product Development and team member since 2002. Gabe thrives in the dynamic and fast-changing field of bioinformatics and genetic analysis. Leading a killer team of Computer Scientists and Statisticians in building powerful products and providing world-class support, Gabe puts his passion into enabling Golden Helix's customers to accelerate their research. When not reading or blogging, Gabe enjoys the outdoor Montana lifestyle. But most importantly, Gabe truly loves spending time with his sons and wife. Follow Gabe on Twitter @gabeinformatics.