What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Genome-wide association study, Genetics, Single-nucleotide polymorphism, Genotyping and Case-control study are his primary areas of study.
He interconnects Allele, Genetic association, Locus, Type 2 diabetes and Candidate gene in the investigation of issues within Genome-wide association study.
His research ties Glucose homeostasis and Genetics together.
He has included themes like Genetic architecture and Heritability in his Single-nucleotide polymorphism study.
His studies in Genotyping integrate themes in fields like Blood lipids, Cholesterol, Lipoprotein and Medical genetics.
His work in Case-control study tackles topics such as Linkage disequilibrium which are related to areas like Genetic linkage and SNP.
His most cited work include:
- Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index (2348 citations)
- Discovery and refinement of loci associated with lipid levels (1814 citations)
- A genome-wide association search for type 2 diabetes genes in African Americans. (1727 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Locus.
Genetics connects with themes related to Body mass index in his study.
His Genome-wide association study research includes themes of Bioinformatics, Case-control study, Linkage disequilibrium, Allele frequency and Genetic association.
His research integrates issues of Meta-analysis, Heritability, Quantitative trait locus and Genetic epidemiology in his study of Single-nucleotide polymorphism.
His work deals with themes such as Endocrinology, Type 2 diabetes and Cardiology, which intersect with Internal medicine.
His Locus research incorporates themes from Haplotype and Pathogenesis.
He most often published in these fields:
- Genetics (54.44%)
- Genome-wide association study (47.78%)
- Single-nucleotide polymorphism (26.67%)
What were the highlights of his more recent work (between 2017-2019)?
- Genetics (54.44%)
- Allele (13.33%)
- Genome-wide association study (47.78%)
In recent papers he was focusing on the following fields of study:
Gudmar Thorleifsson spends much of his time researching Genetics, Allele, Genome-wide association study, Genetic architecture and Body fat distribution.
His work on Proband, Nature versus nurture and Genotype as part of general Genetics research is frequently linked to Affect and Educational attainment, thereby connecting diverse disciplines of science.
His Genome-wide association study study incorporates themes from Disease and Cardiology.
His Genetic architecture research incorporates elements of Bioelectrical impedance analysis, Bioinformatics, Lean body mass, Locus and Single-nucleotide polymorphism.
His Bioinformatics research is multidisciplinary, incorporating perspectives in Body mass index and Linkage disequilibrium.
Gudmar Thorleifsson focuses mostly in the field of Body fat distribution, narrowing it down to matters related to Hyperlipidemia and, in some cases, Type 2 diabetes.
Between 2017 and 2019, his most popular works were:
- The nature of nurture: Effects of parental genotypes. (351 citations)
- Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks (203 citations)
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes (165 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
His primary areas of investigation include Genome-wide association study, Allele, Insulin resistance, Genetic association and Genetic architecture.
His Genome-wide association study study typically links adjacent topics like Immunology.
His work carried out in the field of Allele brings together such families of science as Adipocyte, Internal medicine, Endocrinology and Lipogenesis.
His Insulin resistance research integrates issues from Linkage disequilibrium and Bioinformatics.
His Genetic association research is multidisciplinary, incorporating elements of Pleiotropy, Autoimmune disease, Immune system and Hay fever, Asthma.
In his work, Genetics is strongly intertwined with Computational biology, which is a subfield of Genetic architecture.
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.
