His scientific interests lie mostly in Genome-wide association study, Genetics, Internal medicine, Immunology and Odds ratio. His Genome-wide association study research includes themes of Bioinformatics, Allele frequency, Medical genetics and Quantitative trait locus, Genetic architecture. In his study, Mutation and Frameshift mutation is inextricably linked to Glucose homeostasis, which falls within the broad field of Genetics.
His Internal medicine research is multidisciplinary, incorporating perspectives in Diabetes mellitus and Endocrinology. His work carried out in the field of Odds ratio brings together such families of science as Population study, Dermatology, Filaggrin, Atopic dermatitis and Hay fever. His Body mass index research is multidisciplinary, relying on both Demography and Obesity.
Allan Linneberg mainly focuses on Internal medicine, Endocrinology, Immunology, Epidemiology and Genetics. The study incorporates disciplines such as Diabetes mellitus and Cardiology in addition to Internal medicine. His research in Epidemiology intersects with topics in Disease and Environmental health.
His study in Genome-wide association study, Single-nucleotide polymorphism, Exome, Genetic association and Minor allele frequency is done as part of Genetics. His Genome-wide association study research includes elements of Quantitative trait locus, Genetic architecture and Allele. His research brings together the fields of Demography and Body mass index.
His main research concerns Internal medicine, Cardiology, Cohort, Diabetes mellitus and Endocrinology. In his study, Missense mutation and Population study is strongly linked to Gastroenterology, which falls under the umbrella field of Internal medicine. Allan Linneberg has included themes like Stroke and Risk factor in his Cardiology study.
As a member of one scientific family, Allan Linneberg mostly works in the field of Cohort, focusing on Asthma and, on occasion, Allergy and Odds ratio. His biological study spans a wide range of topics, including Genetics and Epidemiology. His work on Obesity, Leydig cell and Testosterone as part of general Endocrinology research is frequently linked to Context, thereby connecting diverse disciplines of science.
His scientific interests lie mostly in Internal medicine, Genetics, Genome-wide association study, Cohort and Cohort study. His studies deal with areas such as Gastroenterology and Endocrinology as well as Internal medicine. His Genome-wide association study research is included under the broader classification of Single-nucleotide polymorphism.
His Cohort study incorporates themes from Epidemiology, Disease, Heart failure and Sex specific. His Cohort study research is multidisciplinary, incorporating elements of Proportional hazards model and Pediatrics. His work in Minor allele frequency covers topics such as Quantitative trait locus which are related to areas like Genetic association.
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.
A human gut microbial gene catalogue established by metagenomic sequencing
Junjie Qin;Ruiqiang Li;Jeroen Raes;Manimozhiyan Arumugam.
Nature (2010)
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)
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)
The genetic architecture of type 2 diabetes
Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan.
Nature (2016)
The epidemiology of contact allergy in the general population – prevalence and main findings
Jacob Pontoppidan Thyssen;Allan Linneberg;Torkil Menné;Jeanne Duus Johansen.
Contact Dermatitis (2007)
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.
BMJ (2014)
Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.
Anubha Mahajan;Daniel Taliun;Matthias Thurner;Neil R. Robertson.
Nature Genetics (2018)
Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
Angela M. Wood;Stephen Kaptoge;Adam S. Butterworth;Peter Willeit.
The Lancet (2018)
Profile was last updated on December 6th, 2021.
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