Dominique Arveiler mainly investigates Internal medicine, Myocardial infarction, Endocrinology, Genetics and Allele. His research is interdisciplinary, bridging the disciplines of Surgery and Internal medicine. His Myocardial infarction study integrates concerns from other disciplines, such as Prospective cohort study, Fibrinogen and Case-control study.
His work deals with themes such as Locus and Genotype, which intersect with Endocrinology. His Allele research is multidisciplinary, incorporating perspectives in Cholesterylester transfer protein, Blood plasma and Coding region. Dominique Arveiler interconnects Body mass index, Obesity, Randomized controlled trial, Randomization and Socioeconomic status in the investigation of issues within Risk factor.
Dominique Arveiler focuses on Internal medicine, Myocardial infarction, Endocrinology, Risk factor and Epidemiology. His studies in Internal medicine integrate themes in fields like Surgery, Allele and Cardiology. The study incorporates disciplines such as Genotype and Pathology in addition to Allele.
The Myocardial infarction study combines topics in areas such as Coronary heart disease, Case-control study, Coronary artery disease and Gastroenterology. Many of his studies on Risk factor involve topics that are commonly interrelated, such as Body mass index. He works mostly in the field of Epidemiology, limiting it down to topics relating to Gerontology and, in certain cases, Obesity, as a part of the same area of interest.
Internal medicine, Coronary heart disease, Blood pressure, Incidence and Genetics are his primary areas of study. His Internal medicine research is multidisciplinary, relying on both Endocrinology and Cardiology. The Cholesterol research Dominique Arveiler does as part of his general Endocrinology study is frequently linked to other disciplines of science, such as Erythrocyte membrane, therefore creating a link between diverse domains of science.
Dominique Arveiler combines subjects such as Epidemiology and Depression with his study of Incidence. His work carried out in the field of Genetics brings together such families of science as Plasma lipids, Coding and Adult height. His study in Myocardial infarction is interdisciplinary in nature, drawing from both Coronary artery disease and Prospective cohort study.
Dominique Arveiler mainly focuses on Bioinformatics, Incidence, Diabetes mellitus, Gerontology and Genome-wide association study. His research in Bioinformatics intersects with topics in Cohort study, Coronary artery disease, Myocardial infarction, Genetic association and Prospective cohort study. His Incidence research incorporates themes from Coronary heart disease and Epidemiology.
His studies deal with areas such as Global health and Body mass index as well as Gerontology. His Body mass index study incorporates themes from Obesity and Environmental health. His Genome-wide association study research integrates issues from SNP, Internal medicine, Allele and Oncology.
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.
Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults
Leandra Abarca-Gómez;Ziad A Abdeen;Zargar Abdul Hamid;Niveen M Abu-Rmeileh.
Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants
Bin Zhou;Yuan Lu;Kaveh Hajifathalian;James Bentham.
The Lancet (2016)
Deletion polymorphism in the gene for angiotensin-converting enzyme is a potent risk factor for myocardial infarction.
F Cambien;O Poirier;L Lecerf;A Evans.
Discovery and refinement of loci associated with lipid levels
Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso.
Nature Genetics (2013)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Faculty of Health; Institute of Health and Biomedical Innovation (2015)
Large-scale association analysis identifies new risk loci for coronary artery disease
Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)
Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis.
J Danesh;S Lewington;S G Thompson;Lowe Gdo..
Common variants associated with plasma triglycerides and risk for coronary artery disease
Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta.
Nature Genetics (2013)
Functional Polymorphism in the Regulatory Region of Gelatinase B Gene in Relation to Severity of Coronary Atherosclerosis
Baiping Zhang;Shu Ye;S.-M. Herrmann;P. Eriksson.
Synergistic effects of angiotensin-converting enzyme and angiotensin-II type 1 receptor gene polymorphisms on risk of myocardial infarction.
L Tiret;P Ducimetière;A Bonnardeaux;F Soubrier.
The Lancet (1994)
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: