His primary scientific interests are in Genome-wide association study, Internal medicine, Genetics, Endocrinology and Genetic association. Genome-wide association study is a subfield of Single-nucleotide polymorphism that Abbas Dehghan tackles. The Internal medicine study combines topics in areas such as Type 2 diabetes and Cardiology.
His study explores the link between Genetics and topics such as Disease that cross with problems in Metabolic syndrome, HNF1A, FTO gene and Confounding Factors. His work in Endocrinology tackles topics such as Locus which are related to areas like Aortic aneurysm and Aorta. In his study, 1000 Genomes Project is strongly linked to Computational biology, which falls under the umbrella field of Genetic association.
Internal medicine, Genome-wide association study, Genetics, Endocrinology and Genetic association are his primary areas of study. His Internal medicine study combines topics from a wide range of disciplines, such as Mendelian randomization, Type 2 diabetes and Cardiology. His study in Type 2 diabetes is interdisciplinary in nature, drawing from both Obesity and Insulin.
As a part of the same scientific family, Abbas Dehghan mostly works in the field of Genome-wide association study, focusing on Bioinformatics and, on occasion, Epigenetics. His Genetic association research incorporates themes from Linkage disequilibrium and Candidate gene. His work on Overweight as part of general Body mass index study is frequently linked to Demography, therefore connecting diverse disciplines of science.
Abbas Dehghan mostly deals with Internal medicine, Mendelian randomization, Disease, Genome-wide association study and Genetic association. His Internal medicine research is multidisciplinary, incorporating perspectives in Type 2 diabetes and Cardiology. His studies in Mendelian randomization integrate themes in fields like Odds ratio, Insomnia, Mendelian Randomization Analysis, Blood pressure and Confidence interval.
The study incorporates disciplines such as Genetic correlation, Metabolomics and Amygdala in addition to Disease. His Genome-wide association study study combines Single-nucleotide polymorphism and Genetics studies. His Genetic association research includes elements of Oncology, DNA methylation, Epigenome, Bioinformatics and Epigenetics.
The scientist’s investigation covers issues in Internal medicine, Genome-wide association study, Mendelian randomization, Disease and Lower risk. His work in Outpatient clinic, Myocardial infarction and Observational study is related to Internal medicine. His biological study spans a wide range of topics, including Heart failure, Bioinformatics, Coronary artery disease, Atrial fibrillation and Mendelian inheritance.
Mendelian inheritance is the subject of his research, which falls under Genetics. Abbas Dehghan has included themes like Odds ratio, Vitamin D and neurology, Mediator and Cardiology in his Mendelian randomization study. His work carried out in the field of Lower risk brings together such families of science as Incidence, Cohort study, Microalbuminuria, Renal function and Propensity score matching.
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.
The Lancet (2017)
Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants
Mariachiara Di Cesare;Mariachiara Di Cesare;James Bentham;Gretchen A Stevens;Bin Zhou.
The Lancet (2016)
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)
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)
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud.
Nature (2011)
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Heribert Schunkert;Inke R. König;Sekar Kathiresan;Muredach P. Reilly.
Nature Genetics (2011)
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)
A century of trends in adult human height
James Bentham;Mariachiara Di Cesare;Mariachiara Di Cesare;Gretchen A. Stevens;Bin Zhou.
eLife (2016)
Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants
Bin Zhou;James Bentham;Mariachiara Di Cesare;Honor Bixby.
The Lancet (2017)
Genome-wide association study of blood pressure and hypertension.
Daniel Levy;Georg B. Ehret;Georg B. Ehret;Kenneth Rice;Germaine C. Verwoert.
Nature Genetics (2009)
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