What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His scientific interests lie mostly in Genetics, Genome-wide association study, Colorectal cancer, Single-nucleotide polymorphism and Cancer.
His Genetics research includes themes of Population size and Disease.
Albert Tenesa has researched Genome-wide association study in several fields, including Case-control study, Human genome, Genetic association and Candidate gene.
His Colorectal cancer study combines topics from a wide range of disciplines, such as Base excision repair and Chromosome.
His research in Cancer tackles topics such as Meta-analysis which are related to areas like Odds ratio, Surgery, Aspirin and Confounding.
His Internal medicine research integrates issues from Endocrinology and Oncology.
His most cited work include:
- Modulation of genetic associations with serum urate levels by body-mass-index in humans (1089 citations)
- Genome-wide association scan identifies a colorectal cancer susceptibility locus on chromosome 8q24 (669 citations)
- Runs of Homozygosity in European Populations (594 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Internal medicine.
His study in Genetics concentrates on Linkage disequilibrium, Quantitative trait locus, Gene, Locus and Allele.
His research in Genome-wide association study intersects with topics in Bioinformatics, Meta-analysis, Heritability, Genetic variation and Genetic architecture.
His biological study deals with issues like Cognitive decline, which deal with fields such as Cognition.
The Genetic association study combines topics in areas such as Genetic predisposition, Explained variation, Imputation, Genotyping and Computational biology.
His Internal medicine study combines topics in areas such as Endocrinology and Oncology.
He most often published in these fields:
- Genetics (70.85%)
- Genome-wide association study (62.31%)
- Single-nucleotide polymorphism (36.68%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (62.31%)
- Genetics (70.85%)
- Phenotype (10.05%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Genome-wide association study, Genetics, Phenotype, Genetic association and Gene.
His studies in Genome-wide association study integrate themes in fields like Mendelian randomization, Genetic variants, Disease, Heritability and Genetic architecture.
His work on Single-nucleotide polymorphism and Penetrance is typically connected to Blonde hair as part of general Genetics study, connecting several disciplines of science.
His Single-nucleotide polymorphism research includes elements of Quantitative trait locus, Colorectal cancer, Survival analysis and Allele.
His research integrates issues of Evolutionary biology, Computational biology and Locus in his study of Genetic association.
His work on Epigenomics and Genome as part of general Gene study is frequently connected to Severe acute respiratory syndrome coronavirus 2, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Between 2017 and 2021, his most popular works were:
- An atlas of genetic associations in UK Biobank. (215 citations)
- An atlas of genetic associations in UK Biobank. (215 citations)
- Genetic mechanisms of critical illness in Covid-19. (154 citations)
In his most recent research, the most cited papers focused on:
Albert Tenesa mainly investigates Genome-wide association study, Genetic association, Computational biology, Gene and Genetics.
Albert Tenesa has included themes like Biobank, Bioinformatics and Heritability in his Genome-wide association study study.
His research in Heritability intersects with topics in Genetic variants and Large study.
His work carried out in the field of Computational biology brings together such families of science as Epigenomics and Candidate gene.
All of his Genetics and Single-nucleotide polymorphism and SNP investigations are sub-components of the entire Genetics study.
His Single-nucleotide polymorphism research is multidisciplinary, incorporating elements of Meta-analysis, Case-control study, Cohort study and Locus.
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