His primary areas of investigation include Internal medicine, Type 2 diabetes, Body mass index, Endocrinology and Prospective cohort study. His work on Cohort study, Risk factor and Stroke as part of general Internal medicine research is frequently linked to Context, bridging the gap between disciplines. His biological study spans a wide range of topics, including Relative risk, Epidemiology, Incidence and Gerontology.
The concepts of his Type 2 diabetes study are interwoven with issues in Lower risk and Single-nucleotide polymorphism, Genome-wide association study. His Body mass index research includes themes of Obesity, Environmental health, Hazard ratio, Confidence interval and Red meat. His Prospective cohort study study combines topics from a wide range of disciplines, such as Meta-analysis, Odds ratio and Depression.
His scientific interests lie mostly in Internal medicine, Prospective cohort study, Type 2 diabetes, Diabetes mellitus and Endocrinology. The Prospective cohort study study combines topics in areas such as Cohort study, Hazard ratio, Lower risk, Confidence interval and Disease. His research in Cohort study intersects with topics in Refined grains and Cohort.
His study explores the link between Type 2 diabetes and topics such as Environmental health that cross with problems in Red meat and Meta-analysis. His Diabetes mellitus research incorporates themes from Linoleic acid and Risk factor. He has included themes like Weight gain, Obesity and Gerontology in his Body mass index study.
His primary areas of study are Prospective cohort study, Internal medicine, Type 2 diabetes, Cohort study and Lower risk. His Prospective cohort study research incorporates elements of Body mass index, Obesity, Confidence interval, Fatty acid and Disease. His Internal medicine study which covers Endocrinology that intersects with Phenylalanine.
His work carried out in the field of Type 2 diabetes brings together such families of science as Caffeine and Hazard ratio. His studies deal with areas such as Microbiome, Gerontology, Meta-analysis, Cohort and Gluten as well as Cohort study. His research integrates issues of Proportional hazards model and Oncology in his study of Lower risk.
The scientist’s investigation covers issues in Prospective cohort study, Type 2 diabetes, Lower risk, Internal medicine and Diabetes mellitus. His Prospective cohort study research is multidisciplinary, incorporating elements of Incidence, Cohort study and Disease. Qi Sun has researched Type 2 diabetes in several fields, including Body mass index and Fatty acid.
His Lower risk research integrates issues from Proportional hazards model and Hazard ratio. His study focuses on the intersection of Internal medicine and fields such as Endocrinology with connections in the field of Apolipoprotein E. His research in Diabetes mellitus tackles topics such as Confidence interval which are related to areas like Brown rice and Breakfast cereal.
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.
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira.
Nature Genetics (2012)
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)
Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease
Patty W Siri-Tarino;Qi Sun;Frank B Hu;Ronald M Krauss.
The American Journal of Clinical Nutrition (2010)
Red Meat Consumption and Mortality Results From 2 Prospective Cohort Studies
Qi Sun;Adam M. Bernstein;Matthias B. Schulze;JoAnn E. Manson.
JAMA Internal Medicine (2012)
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.
Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below.
Nature Genetics (2014)
Rotating night shift work and risk of type 2 diabetes: two prospective cohort studies in women.
An Pan;Eva S. Schernhammer;Eva S. Schernhammer;Qi Sun;Qi Sun;Frank B. Hu;Frank B. Hu.
PLOS Medicine (2011)
Depression and risk of stroke morbidity and mortality: a meta-analysis and systematic review.
An Pan;Qi Sun;Olivia I. Okereke;Kathryn M. Rexrode.
JAMA (2011)
Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis.
An Pan;Qi Sun;Adam M Bernstein;Matthias B Schulze.
The American Journal of Clinical Nutrition (2011)
Bidirectional Association Between Depression and Metabolic Syndrome: A systematic review and meta-analysis of epidemiological studies
An Pan;NaNa Keum;Olivia Ifeoma Okereke;Qi Sun.
Diabetes Care (2012)
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