jaflannick Profile Banner
Jason Flannick Profile
Jason Flannick

@jaflannick

Followers
168
Following
3
Media
0
Statuses
19

Assistant Professor at Boston Children's Hospital and the Broad Institute. Human genetics, computer science, and computational biology.

Boston, MA
Joined January 2018
Don't wanna be here? Send us removal request.
@jaflannick
Jason Flannick
6 years
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
0
1
2
@jaflannick
Jason Flannick
6 years
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...
0
1
2
@jaflannick
Jason Flannick
6 years
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.
1
4
3
@npburtt
Noel Burtt
6 years
Interested in scientific software & methods for moving for complex disease associations to targets? Come talk with Jason Flannick @jaflannick at the @BroadGenomics booth tomorrow👇
@KPortalNetwork
KP Network
6 years
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
0
1
0
@jaflannick
Jason Flannick
6 years
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
0
0
3
@jaflannick
Jason Flannick
6 years
If you are only half interested, just come for the snacks!
0
0
2
@jaflannick
Jason Flannick
6 years
I will be speaking about the computational methods and visualizations we are developing
1
0
0
@jaflannick
Jason Flannick
6 years
Want to learn more about how to manage all of the datasets needed to translate from association to function? Come to our @T2DKP #ASHG19 ancillary event at the Marriott Marquis Tanglewood room at 12:45.
1
1
4
@AMP_CMDKP
Common Metabolic Diseases Knowledge Portal
6 years
The @T2DKP is hosting an ancillary event at #ASHG19 Foundational Resources for Translating Genetic Associations to Function & Targets! Come join the discussion & demo, Wednesday, Oct. 16, 12:45. Details 👇
0
5
6
@jaflannick
Jason Flannick
6 years
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.
0
4
1
@jaflannick
Jason Flannick
6 years
And (2) solid evidence that toxicity can be predicted as well (well-done analysis in this one as well)
0
0
0
@jaflannick
Jason Flannick
6 years
In particular (1) coding GWAS variants seem to increase likelihood of success even more than the two-fold reported earlier for arbitrary GWAS
0
0
1
@jaflannick
Jason Flannick
6 years
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...
3
33
105
@obahcall
Orli Bahcall
6 years
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!
1
14
31