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David S Carrell

Showing results (71-80 of 82) with videos related to

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Nature Communications|September 1, 2018
A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkersJonathan D Mosley, QiPing Feng, Quinn S Wells, et al.
Nature Biotechnology|November 26, 2013
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study dataJoshua C Denny, Lisa Bastarache, Marylyn D Ritchie, et al.
Scientific Reports|February 3, 2023
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE networkJennifer A Pacheco, Luke V Rasmussen, Ken Wiley, et al.
Circulation|December 21, 2018
Probing the Virtual Proteome to Identify Novel Disease BiomarkersJonathan D Mosley, Mark D Benson, J Gustav Smith, et al.
JAMA|January 10, 2016
Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical RecordsSara L Van Driest, Quinn S Wells, Sarah Stallings, et al.
Circulation|December 21, 2021
Arrhythmia Variant Associations and Reclassifications in the eMERGE-III Sequencing StudyAndrew M Glazer, Giovanni Davogustto, Christian M Shaffer, et al.
Biodata Mining|August 4, 2017
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individualsEmily R Holzinger, Shefali S Verma, Carrie B Moore, et al.
Human Molecular Genetics|January 15, 2013
Genetic variation associated with circulating monocyte count in the eMERGE NetworkDavid R Crosslin, Andrew McDavid, Noah Weston, et al.
Journal of the American Heart Association|July 16, 2016
Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic AneurysmsFemke N G van 't Hof, Ynte M Ruigrok, Cue Hyunkyu Lee, et al.
Circulation Research|December 1, 2016
Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk LociGregory T Jones, Gerard Tromp, Helena Kuivaniemi, et al.
Pageof 9

Showing results (71-80 of 82) with videos related to

Sort By:
Pageof 9
Nature Communications|September 1, 2018
A study paradigm integrating prospective epidemiologic cohorts and electronic health records to identify disease biomarkersJonathan D Mosley, QiPing Feng, Quinn S Wells, et al.
Nature Biotechnology|November 26, 2013
Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study dataJoshua C Denny, Lisa Bastarache, Marylyn D Ritchie, et al.
Scientific Reports|February 3, 2023
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE networkJennifer A Pacheco, Luke V Rasmussen, Ken Wiley, et al.
Circulation|December 21, 2018
Probing the Virtual Proteome to Identify Novel Disease BiomarkersJonathan D Mosley, Mark D Benson, J Gustav Smith, et al.
JAMA|January 10, 2016
Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical RecordsSara L Van Driest, Quinn S Wells, Sarah Stallings, et al.
Circulation|December 21, 2021
Arrhythmia Variant Associations and Reclassifications in the eMERGE-III Sequencing StudyAndrew M Glazer, Giovanni Davogustto, Christian M Shaffer, et al.
Biodata Mining|August 4, 2017
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individualsEmily R Holzinger, Shefali S Verma, Carrie B Moore, et al.
Human Molecular Genetics|January 15, 2013
Genetic variation associated with circulating monocyte count in the eMERGE NetworkDavid R Crosslin, Andrew McDavid, Noah Weston, et al.
Journal of the American Heart Association|July 16, 2016
Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic AneurysmsFemke N G van 't Hof, Ynte M Ruigrok, Cue Hyunkyu Lee, et al.
Circulation Research|December 1, 2016
Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk LociGregory T Jones, Gerard Tromp, Helena Kuivaniemi, et al.
Pageof 9