Author Archives: Eli Sward

Eli Sward

About Eli Sward

Eli Sward, Ph.D is a Field Application Scientist at Golden Helix, joining the team in May of 2018. Eli graduated from Montana State University with a bachelor’s degree in Microbiology, and a doctorate’s in the Department of Immunology and Infectious Diseases. Beyond providing customer support and training at Golden Helix, Eli enjoys many outdoor activities and spending quality time with family and friends.

Top-Quality GWAS Analysis: Part V

      Eli Sward    January 28, 2019    No Comments on Top-Quality GWAS Analysis: Part V

As our final part of the ‘Top-Quality GWAS Analysis’ blog series, we will be giving a summary of the values behind GWAS quality control and quality assessment. Performing GWAS can provide insight into the association of genetic variants with traits and complex disorders. Any novel insights into marker-phenotype associations need to be based on performing quality control steps. In this… Read more »

Top-Quality GWAS Analysis: Part III

      Eli Sward    January 22, 2019    No Comments on Top-Quality GWAS Analysis: Part III

Sample Relatedness Pruning your data based on Linkage Disequilibrium (LD) values and filtering for sample “relatedness” are ideal quality assurance steps following the marker and sample quality filtering described in Part II of this blog series. The value of running an Identity by Decent estimation not only allows you to factor family relatedness in your samples but makes screening for… Read more »

Top-Quality GWAS Analysis: Part I

      Eli Sward    January 16, 2019    No Comments on Top-Quality GWAS Analysis: Part I

Importance of Quality in Association Tests SVS is a research application platform provided by Golden Helix that enables an array of computational analyses including genome-wide association studies (GWAS). GWAS is an observational study that can provide insight into the association of genetic variants with traits and complex disorders. The foundation of GWAS utilizes large cohorts sequenced with single nucleotide polymorphisms… Read more »

Optimized Breeding Selection via Genomic Prediction

What is Genomic Prediction? Genomic prediction is an algorithm widely used to improve desirable phenotypic traits in agriculture. For example, the cattle industry uses genomic prediction to improve beef quality and palatability as well as improve dairy production (1,2). By using genomic prediction, researchers can minimize multiple expenses in breeding industries as well as diminish the need for performing cumbersome… Read more »

VSClinical Best Practice Workflows: Part III

This blog will conclude our VSClinical Best Practice Workflow series and focuses on one of our new reports: VSClinical ACMG Gene Panel Template. This template is valuable because it automatically enters your variant interpretation from the ACMG Guidelines into the report and eliminates the need for manual submission. Example of ACMG Report (Click to view the entire report) I would… Read more »