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Jason Flannick

Showing results (11-20 of 101) with videos related to

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Plos Computational Biology|July 19, 2012
Efficiency and power as a function of sequence coverage, SNP array density, and imputationJason Flannick, Joshua M Korn, Pierre Fontanillas, et al.
Cell Metabolism|April 14, 2022
Evaluating human genetic support for hypothesized metabolic disease genesPeter Dornbos, Preeti Singh, Dong-Keun Jang, et al.
Arxiv|October 3, 2025
Desiderata for a biomedical knowledge network: opportunities, challenges and future DirectionsChunlei Wu, Hongfang Liu, Jason Flannick, et al.
Medrxiv : the Preprint Server for Health Sciences|March 31, 2025
Type 1 Diabetes Polygenic Scores Improve Diagnostic Accuracy in Pediatric Diabetes CareRaymond J Kreienkamp, Aaron J Deutsch, Alicia Huerta-Chagoya, et al.
Hormone Research in Paediatrics|May 20, 2025
Type 1 Diabetes Polygenic Scores Improve Diagnostic Accuracy in Pediatric Diabetes CareRaymond J Kreienkamp, Aaron J Deutsch, Alicia Huerta-Chagoya, et al.
BMC Medical Genetics|December 30, 2011
Targeted 'next-generation' sequencing in anophthalmia and microphthalmia patients confirms SOX2, OTX2 and FOXE3 mutationsNelson Lopez Jimenez, Jason Flannick, Mani Yahyavi, et al.
Bioinformatics Advances|March 23, 2026
Desiderata for a biomedical knowledge network: opportunities, challenges and future directionsChunlei Wu, Hongfang Liu, Jason Flannick, et al.
Nature Genetics|April 30, 2026
Genetic association and machine learning improve the prediction of type 1 diabetes riskCarolyn McGrail, Timothy J Sears, Emily N Griffin, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 27, 2014
Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetesAmit R Majithia, Jason Flannick, Peter Shahinian, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Assessing the genetic contribution of cumulative behavioral factors associated with longitudinal type 2 diabetes risk highlights adiposity and the brain-metabolic axisNuno R G Carvalho, Yixuan He, Patrick Smadbeck, et al.
Pageof 11

Showing results (11-20 of 101) with videos related to

Sort By:
Pageof 11
Plos Computational Biology|July 19, 2012
Efficiency and power as a function of sequence coverage, SNP array density, and imputationJason Flannick, Joshua M Korn, Pierre Fontanillas, et al.
Cell Metabolism|April 14, 2022
Evaluating human genetic support for hypothesized metabolic disease genesPeter Dornbos, Preeti Singh, Dong-Keun Jang, et al.
Arxiv|October 3, 2025
Desiderata for a biomedical knowledge network: opportunities, challenges and future DirectionsChunlei Wu, Hongfang Liu, Jason Flannick, et al.
Medrxiv : the Preprint Server for Health Sciences|March 31, 2025
Type 1 Diabetes Polygenic Scores Improve Diagnostic Accuracy in Pediatric Diabetes CareRaymond J Kreienkamp, Aaron J Deutsch, Alicia Huerta-Chagoya, et al.
Hormone Research in Paediatrics|May 20, 2025
Type 1 Diabetes Polygenic Scores Improve Diagnostic Accuracy in Pediatric Diabetes CareRaymond J Kreienkamp, Aaron J Deutsch, Alicia Huerta-Chagoya, et al.
BMC Medical Genetics|December 30, 2011
Targeted 'next-generation' sequencing in anophthalmia and microphthalmia patients confirms SOX2, OTX2 and FOXE3 mutationsNelson Lopez Jimenez, Jason Flannick, Mani Yahyavi, et al.
Bioinformatics Advances|March 23, 2026
Desiderata for a biomedical knowledge network: opportunities, challenges and future directionsChunlei Wu, Hongfang Liu, Jason Flannick, et al.
Nature Genetics|April 30, 2026
Genetic association and machine learning improve the prediction of type 1 diabetes riskCarolyn McGrail, Timothy J Sears, Emily N Griffin, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 27, 2014
Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetesAmit R Majithia, Jason Flannick, Peter Shahinian, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Assessing the genetic contribution of cumulative behavioral factors associated with longitudinal type 2 diabetes risk highlights adiposity and the brain-metabolic axisNuno R G Carvalho, Yixuan He, Patrick Smadbeck, et al.
Pageof 11