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 »

All Excited About Mixed Models

Last month, Bryce Christensen wrote a little about mixed models and their application in GWAS. He promised that this analysis would be available in SNP & Variation Suite (SVS) “soon,” but didn’t elaborate. We are now excited to announce that three mixed model methods are available in SVS: GBLUP, EMMAX, and MLMM! To help demonstrate their utility and when to… 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 »

Robert Kleta, MD, PhD and His Newly-Formed Team Publish in The New England Journal of Medicine in a Few Short Months with SVS

Thirteen years ago, Dr. Robert Kleta had never heard of a genome-wide association study (GWAS), let alone considered doing one. Now, Dr. Kleta and his colleagues at the University College of London regularly publish articles in The New England Journal of Medicine and other journals on the genetics of rare diseases and their associated phenotypes. States Kleta, “For rare diseases,… Read more »

The Next Phase in Our Evolution

Time goes by fast. With the completion of the Human Genome Project in 2003, scientists worldwide were trying to understand the cause and effect of variations in the genome as they relate to functionalities, traits and disease. Along the way, we at Golden Helix helped researchers analyze data, discover variations and draw conclusions. It turns out that the real bottleneck… Read more »