Category Archives: Best practices in genetic analysis

Public Data? What’s that good for anyway?

Dr. Bryce Christensen recently gave a webcast on Maximizing Public Data Sources for Sequencing and GWAS Studies in which he covered options for getting GWAS and sequence information online, tips for working with these datasets and what you’ll see in terms of data quality and usefulness, how to use public data sources in conjunction with your GWAS or sequence study… Read more »

Guest Post: Finding Rare Pieces of Hay in a Haystack

Utilizing Identical Twins Discordant for Schizophrenia to Uncover de novo Mutations We are living in exciting times – the reality of high-resolution Cand individual genome sequencing now offers renewed hope in the search for the causes of complex diseases. When this technology is combined with genetic relationships, individual sequences add unrivaled proficiency. Our lab is located in London, Ontario, Canada… Read more »

More Mixed Model Methods!

      Golden Helix    June 6, 2013    4 Comments on More Mixed Model Methods!

Thanks to everyone for the great webcast yesterday. We had over 850 people register for the event and actually broke the record! Take that Bryce and Gabe! If you would like to see the recording, view it at: Mixed Models: How to Effectively Account for Inbreeding and Population Structure in GWAS. While preparing for this webcast, we chose to focus… Read more »

Upcoming webcast – Mixed Models: How to Effectively Account for Inbreeding and Population Structure in GWAS

Presenter: Greta Linse Peterson, Senior Statistician Date: Wednesday, June 5th, 2013 Time: 12:00 pm EDT, 60 minutes Abstract Population structure and inbreeding can confound results from a standard genome-wide association test. Accounting for the random effect of relatedness can lead to lower false discovery rates and identify the causative markers without over-correcting and dampening the true signal. This presentation will… Read more »

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, but the authors of the article suggest that the problems often blamed on population structure actually result from the environment… Read more »