Jason Flannick
@jaflannick
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Assistant Professor at Boston Children's Hospital and the Broad Institute. Human genetics, computer science, and computational biology.
Boston, MA
Joined January 2018
What can 45,000 exomes tell you about GWAS and core genes? Come ask the always classy @PeterDornbos from 2-3PM at #ASHG19 poster 2804
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Actually , I can't promise that. But we can discuss anything related to the @T2DKP , @KPortalNetwork , or our recent nature paper on large-scale exome analysis
nature.com
Nature - Exome-sequencing analyses of a large cohort of patients with type 2 diabetes and control individuals without diabetes from five ancestries are used to identify gene-level associations of...
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No longer content with simply being thrilled by all the #ASHG19 science?I'll be off the chain at the @BroadGenomics booth 714 from 10-11.
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Interested in scientific software & methods for moving for complex disease associations to targets? Come talk with Jason Flannick @jaflannick at the @BroadGenomics booth tomorrow👇
Interested in learning about or collaborating on our computational and software platform for translating SNPs to function? Come talk to Jason Flannick at the @BroadGenomics booth (#714) on Friday 10/18 from 10-11am. @jaflannick #ASHG19
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Is a p=0.02 association real or not? It depends on the gene. See Lokendra Thakur talk about our method for gene prior calculations at #ASHG19 Room 371A/4:45pm
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I will be speaking about the computational methods and visualizations we are developing
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Looking forward to #ASHG19. If you are attending and interested in postdoc opportunities in exome analysis or integrative computational genomics, message me and we can chat about opportunities in https://t.co/7Ha6oaHuKD.
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And (2) solid evidence that toxicity can be predicted as well (well-done analysis in this one as well)
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In particular (1) coding GWAS variants seem to increase likelihood of success even more than the two-fold reported earlier for arbitrary GWAS
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Was reviewing some work on genetics + drug targets and found these to be of interest: https://t.co/qo9bOStzQF and
biorxiv.org
Despite strong vetting for disease activity, only 10% of candidate new molecular entities in early stage clinical trials are eventually approved. Analyzing historical pipeline data, Nelson et al....
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Our new study of coding variants and T2D shows that rare variants contribute less to T2D than we thought a decade ago, but may be more useful than we thought three years ago: https://t.co/CHwKA9IR8X
@T2DKP @npburtt
nature.com
Nature - Exome-sequencing analyses of a large cohort of patients with type 2 diabetes and control individuals without diabetes from five ancestries are used to identify gene-level associations of...
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New analyses on the genomic architecture of T2D & contribution of rare variation, with lessons for rare variant studies. Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls @nature
https://t.co/KgBkD7XrIX Congrats J Flannick @markmccarthyoxf @npburtt et al!
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