His primary areas of investigation include Internal medicine, Type 2 diabetes, Endocrinology, Diabetes mellitus and Body mass index. His Internal medicine study incorporates themes from Surgery and Cardiology. The various areas that Stephen J. Sharp examines in his Type 2 diabetes study include Incidence, Randomized controlled trial, Mass screening and European Prospective Investigation into Cancer and Nutrition, Prospective cohort study.
His studies deal with areas such as Genome-wide association study and Allele as well as Endocrinology. His Diabetes mellitus research incorporates themes from Heptadecanoic acid, Oncology, Environmental health, Gastroenterology and Genetic association. Stephen J. Sharp has researched Body mass index in several fields, including Framingham Risk Score, Gerontology, Demography, Weight gain and Sedentary lifestyle.
His main research concerns Internal medicine, Type 2 diabetes, Diabetes mellitus, Prospective cohort study and Body mass index. His research investigates the connection between Internal medicine and topics such as Endocrinology that intersect with issues in Genome-wide association study. His study looks at the intersection of Type 2 diabetes and topics like Incidence with Environmental health.
A large part of his Diabetes mellitus studies is devoted to Diabetes risk. His Prospective cohort study research is multidisciplinary, incorporating perspectives in Epidemiology, Cohort, Hazard ratio, Confidence interval and Confounding. His biological study spans a wide range of topics, including Physical therapy, Demography, Obesity and Gerontology.
The scientist’s investigation covers issues in Type 2 diabetes, Internal medicine, Diabetes mellitus, Prospective cohort study and Confidence interval. The study incorporates disciplines such as Body mass index, European Prospective Investigation into Cancer and Nutrition, Cohort study, Meta-analysis and Hazard ratio in addition to Type 2 diabetes. His Internal medicine research is multidisciplinary, incorporating elements of Endocrinology, Oncology and Diabetes risk.
His work on Insulin resistance as part of his general Diabetes mellitus study is frequently connected to Mendelian randomization, thereby bridging the divide between different branches of science. His Prospective cohort study study combines topics from a wide range of disciplines, such as Confounding, Demography, Epidemiology and Cohort. His work carried out in the field of Demography brings together such families of science as Biobank and Incidence.
His scientific interests lie mostly in Internal medicine, Type 2 diabetes, Prospective cohort study, Diabetes mellitus and Cohort study. His Internal medicine study focuses mostly on Body mass index and Coronary artery disease. Type 2 diabetes is a subfield of Endocrinology that Stephen J. Sharp studies.
The concepts of his Prospective cohort study study are interwoven with issues in Coronary heart disease, Smoking cessation, Epidemiology, Meta-analysis and Hazard ratio. His Diabetes mellitus study combines topics in areas such as Odds ratio, Case-control study and Risk factor. His Cohort study research integrates issues from Stroke, Mendelian Randomization Analysis, Cause of death and Cardiology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
A genome-wide association search for type 2 diabetes genes in African Americans.
N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)
Explaining heterogeneity in meta-analysis: a comparison of methods.
Simon G. Thompson;Stephen J. Sharp.
Statistics in Medicine (1999)
Efficient neutralization of primary isolates of HIV-1 by a recombinant human monoclonal antibody
Dennis R. Burton;Jayashree Pyati;Raju Koduri;Stephen J. Sharp.
Variants in MTNR1B influence fasting glucose levels
Inga Prokopenko;Claudia Langenberg;Jose C. Florez;Jose C. Florez;Richa Saxena;Richa Saxena.
Nature Genetics (2009)
Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge
Richa Saxena;Richa Saxena;Claudia Langenberg;Toshiko Tanaka;Toshiko Tanaka.
Nature Genetics (2010)
Association between alcohol and cardiovascular disease:Mendelian randomisation analysis based on individual participant data
Michael V Holmes;Michael V Holmes;Caroline E Dale;Luisa Zuccolo;Richard J Silverwood.
HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials.
Daniel I Swerdlow;David Preiss;Karoline B Kuchenbaecker;Michael Holmes.
The Lancet (2015)
Physical activity attenuates the influence of FTO variants on obesity risk: A meta-analysis of 218,166 adults and 19,268 children
Tuomas O. Kilpeläinen;Lu Qi;Soren Brage;Stephen J. Sharp.
PLOS Medicine (2011)
Effect of early intensive multifactorial therapy on 5-year cardiovascular outcomes in individuals with type 2 diabetes detected by screening (ADDITION-Europe): a cluster-randomised trial
Simon J Griffin;Knut Borch-Johnsen;Melanie J Davies;Kamlesh Khunti.
The Lancet (2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: