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The future of GWAS in drug discovery and biobank design
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The future of GWAS in drug discovery and biobank design: are tools like isGWAS the solution to a pressing problem?
Zhana (from Optima Partners) presented on the 30th of November at University of Westminster for the London Bioinformatics Meetup. She talked about their work on isGWAS: While genome-wide association studies (GWAS) have proven a powerful tool for human geneticists, there is nevertheless, a dependency on sensitive individual-level data together with ever-increasing data sizes, limiting the GWAS approach from maximising potential. Here she presents in-silico GWAS (isGWAS), a uniquely scalable algorithm to infer regression parameters in case-control GWAS from cohort-level summary data.
You don't have to be a genomics expert for this talk, Zhana will provide enough context and introduction to appreciate the material.
Zhana (from Optima Partners) presented on the 30th of November at University of Westminster for the London Bioinformatics Meetup. She talked about their work on isGWAS: While genome-wide association studies (GWAS) have proven a powerful tool for human geneticists, there is nevertheless, a dependency on sensitive individual-level data together with ever-increasing data sizes, limiting the GWAS approach from maximising potential. Here she presents in-silico GWAS (isGWAS), a uniquely scalable algorithm to infer regression parameters in case-control GWAS from cohort-level summary data.
You don't have to be a genomics expert for this talk, Zhana will provide enough context and introduction to appreciate the material.