Category Archives: General statistical genetics principles

Bryce Christensen

Population Structure + Genetic Background + Environment = Mixed Model

A few months ago, our CEO, Christophe Lambert, directed me toward an interesting commentary published in Nature Reviews Genetics by authors Bjarni J. Vilhjalmsson and Magnus Nordborg.  Population structure is frequently cited as a major source of confounding in GWAS, … Continue reading

Posted in Best practices in genetic analysis, General statistical genetics principles, Plant & animal | 3 Comments

What is Bioinformatic Filtering?

Recently I gave a presentation on bioinformatic filtering: the process of using quality scores, annotation databases, and functional prediction scores to intelligently and quickly reduce your variant search space. View the recording here» In this webcast, I mention that filtering … Continue reading

Posted in General statistical genetics principles, News, events, & announcements | Leave a comment

Nature or Nurture: What Insight Can Science Provide?

I recently transitioned jobs – from researching early diagnostics for Type II Diabetes using several omics technologies such as proteomics, metabolomics, and lipidomics – to working with genomics data at Golden Helix.  As scientists, one of the questions we face … Continue reading

Posted in General statistical genetics principles, Personal genomics | Leave a comment
Bryce Christensen

Admixture and Blaine Bettinger

Allow me to introduce you to Blaine Bettinger.  Blaine is a patent attorney who holds a PhD in Biochemistry with a concentration in genetics.  He is also a family history enthusiast who writes the Genetic Genealogist blog, where he gives … Continue reading

Posted in General statistical genetics principles, Personal genomics | 2 Comments
Greta Linse Peterson

Please Help Me Get My Regression Model Set Up!

Golden Helix’ SNP & Variation Suite (SVS) has a Regression Module to enable researchers with varying degrees of statistical knowledge to interrogate their data using regression models to account for potential confounding effects of covariates and interaction terms. While these … Continue reading

Posted in General statistical genetics principles, How to's and advanced workflows | 1 Comment

The What, Why, and How of Creating a Genome Map

Including the completion of the Human Genome Project in 2003, scientists have created whole genome sequence maps for over 1,000 species. From maize to oysters, the quest to investigate different species’ genetic code continues. Mapping is the “first step” that … Continue reading

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