Genome-wide association studies (GWAS) are useful in genetics as they test for the association of a phenotype with common genetic variants. GWAS is “hypothesis-free” and does not require prior knowledge of a gene’s biological impact on a trait. The catch though is that this leads to analyzing hundreds to thousands of genome-wide array samples to elucidate single nucleotide polymorphisms (SNPs) associated with a specific phenotype.
In case you missed our live event yesterday, I wanted to share a link to the webcast recording: New Enhancements: GWAS Workflows with SVS. There were several questions asked, so we’ve also shared the Q & A session below! Question: Are these enhancements priced as a separate feature? Answer: No, SVS is a constantly evolving platform, so everything you see in this webcast is… Read more »
When studying complex diseases that may have multi-genic contributions from across the genome, it is not uncommon to see what may appear like elevated correlation between your trait or other test variable and the SNPs across the genome. The problem is at first glance you won’t be able to tell if this is due to a population structure in your… Read more »
Genome-wide association study (GWAS) technology has been a primary method for identifying the genes responsible for diseases and other traits for the past ten years. GWAS continues to be highly relevant as a scientific method. Over 2000 human GWAS reports now appear in scientific journals. In fact, we see its adoption increasing beyond the human-centric research into the world of… Read more »
ASHG 2016 is in our rear mirror. Again, it was bigger and better than the previous year. The conference hosted over 9,000 visitors from 66 countries. This gave the event a level of vibrancy that was evenly matched by the wonderful ambiance of the city of Vancouver. Nestled in between the two conference centers was a little pier offering spectacular… Read more »