Jason Flannick, Ph.D.
Affiliations: | 2009 | Stanford University, Palo Alto, CA |
Google:
"Jason Flannick"Parents
Sign in to add mentor| Serafim Batzoglou | grad student | 2009 | Stanford | |
| (Algorithms for biological network alignment.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Dornbos P, Raffield L, Yin X, et al. (2020) 241-OR: Causal Gene Candidates for Type 2 Diabetes Based on Protein-Coding Variants in 127,676 Individuals Diabetes. 69 |
| Dwivedi OP, Lehtovirta M, Hastoy B, et al. (2019) Loss of ZnT8 function protects against diabetes by enhanced insulin secretion. Nature Genetics |
| Flannick J, Mercader JM, Fuchsberger C, et al. (2019) Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls. Nature |
| Flannick J. (2019) The Contribution of Low-Frequency and Rare Coding Variation to Susceptibility to Type 2 Diabetes. Current Diabetes Reports. 19: 25 |
| Jiao Y, Ahmed U, Sim MFM, et al. (2019) Discovering metabolic disease gene interactions by correlated effects on cellular morphology. Molecular Metabolism |
| CHEN L, SRINIVASAN S, SANTORO N, et al. (2019) 177-OR: Genome-Wide Association Study of Lipid Traits in Youth with Type 2 Diabetes: The ProDiGY (Progress in Diabetes Genetics in Youth) Consortium Diabetes. 68: 177-OR |
| Udler M, Flannick J, Mercader J, et al. (2019) OR05-1 Genetic Discovery and Translational Decision Support from Exome Sequencing of 45,231 Type 2 Diabetes Cases and Controls from Five Ancestries Journal of the Endocrine Society. 3 |
| Udler MS, Kim J, von Grotthuss M, et al. (2018) Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. Plos Medicine. 15: e1002654 |
| Gusarova V, O'Dushlaine C, Teslovich TM, et al. (2018) Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes. Nature Communications. 9: 2252 |
| Ganna A, Satterstrom FK, Zekavat SM, et al. (2018) Quantifying the Impact of Rare and Ultra-rare Coding Variation across the Phenotypic Spectrum. American Journal of Human Genetics |