Optimizing GWAS Results Using an Interactive Machine Learning Approach, Upcoming Webinar Hosted by Xtalks

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Genome-wide association studies (GWAS) present a viable approach for researchers to identify genetic variations associated with a particular trait, but not all of these variations are causal. Fine mapping is a statistical process which enables researchers to prioritize those variants that warrant additional examination. This technique may allow researchers to rapidly detect disease-causing variants that could be targeted by new drugs. Learn more about the optimization of GWAS results through fine mapping by registering for this free webinar.

Xtalks Life Science Webinars

Genome-wide association studies (GWAS) present a viable approach for researchers to identify genetic variations associated with a particular trait. GWAS have already identified several single nucleotide polymorphisms associated with diabetes, Parkinson’s disease, amongst others. However, these comprehensive studies frequently identify large numbers of genetic variants associated with the phenotypes, not all of which are causal. Researchers seek to understand which variants narrowly missed the threshold but actually are causal.

Fine mapping, a statistical process in which additional data are introduced to the GWAS dataset, enables researchers to prioritize those variants that warrant additional examination, but assembling the data and building the proper computing environment to perform fine mapping is time-consuming and challenging.

DNAnexus’ Product Manager Eugene Miloslavsky will be the host of a live webinar featuring DNAnexus’ Senior Machine Learning Engineer and Data Science Lead, Peter Nguyen. This webinar will take place on Thursday, December 5, 2019 at 12pm EST and will feature a live Q&A session at the end.

At the end of this webinar, attendees will:

  • Understand the applications and benefits of fine mapping for refining GWAS results
  • Learn about the computing environment needed for fine mapping
  • Gain strategies for building and deploying interactive machine learning models
  • See the DNAnexus platform and how it enables machine learning in a secure and scalable environment

For more information or to register for this event, visit Optimizing GWAS Results Using an Interactive Machine Learning Approach.

ABOUT XTALKS

Xtalks, powered by Honeycomb Worldwide Inc., is a leading provider of educational webinars to the global life science, food and medical device community. Every year thousands of industry practitioners (from life science, food and medical device companies, private & academic research institutions, healthcare centers, etc.) turn to Xtalks for access to quality content. Xtalks helps Life Science professionals stay current with industry developments, trends and regulations. Xtalks webinars also provide perspectives on key issues from top industry thought leaders and service providers.

To learn more about Xtalks visit http://xtalks.com
For information about hosting a webinar visit http://xtalks.com/why-host-a-webinar/

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Candice Tang
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