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DTSTART;TZID=America/New_York:20211117T110000
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SUMMARY:Low-Pass WGS: Revolutionizing Genome-Wide Association Studies
DESCRIPTION:The usage of Genome-Wide Association Studies (GWAS) continues to grow in the discovery and development of disease models; however\, they are often restricted to interrogation within predefined European ancestry populations. With the continued development of scalable and cost-effective technologies like low-pass whole genome sequencing (LP-WGS)\, however\, this flaw has been addressed by enabling inexpensive genome-wide variant data generation without pre-defined population limitations. \nIn this webinar\, Dr. Louie will first review the science behind LP-WGS technology\, which uses computation methods\, such as imputation\, and discuss advantages and considerations of LP-WGS when compared to traditional genotyping arrays and other whole genome or targeted approaches. Jeremy Li will then review the main results from Gencove’s recently-published paper in Genome Research comparing the performance of LP-WGS to that of commonly-used genotyping arrays in the context of GWAS and polygenic risk scores. Iris Kalka will conclude the webinar by discussing her current work at the Weizmann Institute of Science constructing a cohort consisting of 10\,000 healthy individuals\, all of whom are deeply phenotyped and genotyped using LP-WGS\, in the hopes to unravel novel early disease markers with the potential of becoming drug targets. \nRegister here.
URL:https://foodindustryexecutive.com/food-industry-webinar/low-pass-wgs-revolutionizing-genome-wide-association-studies/
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