2022 - Research.com Best Scientist Award
His scientific interests lie mostly in Internal medicine, Framingham Heart Study, Genome-wide association study, Genetics and Endocrinology. His Internal medicine study integrates concerns from other disciplines, such as Diabetes mellitus and Cardiology. His Cardiology study combines topics from a wide range of disciplines, such as Odds ratio, Heart rate, Surgery and Stroke.
He combines subjects such as Adipose tissue, Metabolome, Cohort study and Cohort with his study of Framingham Heart Study. His study in Genome-wide association study is interdisciplinary in nature, drawing from both Coronary artery disease, Disease, Genetic association and Bioinformatics. His Endocrinology study deals with Framingham Risk Score intersecting with Offspring and Diastole.
Christopher J. O'Donnell mostly deals with Internal medicine, Cardiology, Framingham Heart Study, Genome-wide association study and Genetics. His research is interdisciplinary, bridging the disciplines of Endocrinology and Internal medicine. His work deals with themes such as Stroke, Disease and Hazard ratio, Confidence interval, which intersect with Cardiology.
Within one scientific family, Christopher J. O'Donnell focuses on topics pertaining to Body mass index under Framingham Heart Study, and may sometimes address concerns connected to Obesity. His Genome-wide association study study combines topics in areas such as Meta-analysis, Genetic association and Bioinformatics. His study in Locus, Gene, Candidate gene, Allele and Quantitative trait locus is done as part of Genetics.
His primary scientific interests are in Internal medicine, Cardiology, Genome-wide association study, Disease and Mendelian randomization. All of his Internal medicine and Coronary artery disease, Odds ratio, Confidence interval, Myocardial infarction and Cohort investigations are sub-components of the entire Internal medicine study. The various areas that Christopher J. O'Donnell examines in his Cardiology study include Framingham Heart Study, Framingham Risk Score, Magnetic resonance imaging and Epidemiology.
His study with Genome-wide association study involves better knowledge in Genetics. His study looks at the relationship between Disease and topics such as Biobank, which overlap with Precision medicine, Veterans Affairs and Diabetes mellitus. His Mendelian randomization research includes elements of Expression quantitative trait loci, Mendelian Randomization Analysis and Risk factor.
Christopher J. O'Donnell mainly focuses on Genome-wide association study, Internal medicine, Biobank, Cardiology and Disease. His Genome-wide association study study necessitates a more in-depth grasp of Genetics. His studies deal with areas such as Diabetes mellitus and Type 2 diabetes as well as Genetics.
His work deals with themes such as Endocrinology and Locus, which intersect with Internal medicine. His work carried out in the field of Cardiology brings together such families of science as Framingham Heart Study and Lower risk, Confidence interval. His Framingham Heart Study research is included under the broader classification of Framingham Risk Score.
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2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines
David C. Goff;Donald M. Lloyd-Jones;Glen Bennett;Sean Coady.
Journal of the American College of Cardiology (2014)
Heart Disease and Stroke Statistics—2009 Update
Donald Lloyd-Jones;Robert Adams;Mercedes Carnethon.
Heart Disease and Stroke Statistics—2008 Update A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee
Wayne Rosamond;Katherine Flegal;Karen Furie;Alan Go.
Heart Disease and Stroke Statistics—2006 Update A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee
Thomas Thom;Nancy Haase;Wayne Rosamond.
Heart Disease and Stroke Statistics—2007 Update A Report From the American Heart Association Statistics Committee and Stroke Statistics Subcommittee
Wayne Rosamond;Katherine Flegal;Gary Friday;Karen Furie.
Biological, clinical and population relevance of 95 loci for blood lipids
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson.
Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study.
Caroline S. Fox;Joseph M. Massaro;Udo Hoffmann;Karla M. Pou.
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
Impact of High-Normal Blood Pressure on the Risk of Cardiovascular Disease
Ramachandran S. Vasan;Martin G. Larson;Eric P. Leip;Jane C. Evans.
The New England Journal of Medicine (2001)
Metabolite profiles and the risk of developing diabetes
Thomas J Wang;Thomas J Wang;Martin G Larson;Martin G Larson;Ramachandran S Vasan;Ramachandran S Vasan;Susan Cheng;Susan Cheng;Susan Cheng.
Nature Medicine (2011)
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