What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Tõnu Esko mainly investigates Genome-wide association study, Genetics, Genetic association, Genetic architecture and Disease.
His research in Genome-wide association study intersects with topics in Polymorphism, Bioinformatics, Case-control study, Medical genetics and Candidate gene.
His Single-nucleotide polymorphism, Gene, Quantitative trait locus, Allele and Locus study are his primary interests in Genetics.
His Genetic association research incorporates elements of Pulse pressure and Blood pressure.
He has included themes like Common disease-common variant, Genetic predisposition, Genomics and Imputation, Haplotype in his Genetic architecture study.
His studies examine the connections between Disease and genetics, as well as such issues in Schizophrenia, with regards to Major depressive disorder and Bipolar disorder.
His most cited work include:
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
- Biological insights from 108 schizophrenia-associated genetic loci (4834 citations)
What are the main themes of his work throughout his whole career to date?
Tõnu Esko spends much of his time researching Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Gene.
His Genetics study frequently draws connections between related disciplines such as Disease.
His Genome-wide association study study incorporates themes from Bioinformatics, Case-control study, Medical genetics, Imputation and Genetic architecture.
His study focuses on the intersection of Genetic association and fields such as Meta-analysis with connections in the field of Computational biology.
His research integrates issues of Demography and Genetic variation in his study of Single-nucleotide polymorphism.
His study in Demography is interdisciplinary in nature, drawing from both Body mass index and Genetic correlation.
He most often published in these fields:
- Genetics (88.91%)
- Genome-wide association study (78.85%)
- Genetic association (31.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (88.91%)
- Genome-wide association study (78.85%)
- Gene (26.78%)
In recent papers he was focusing on the following fields of study:
His main research concerns Genetics, Genome-wide association study, Gene, Computational biology and Genetic association.
His Genetics research incorporates themes from Sleep in non-human animals and Blood lipids.
Tõnu Esko combines subjects such as SNP, Genetic correlation, Eating disorders, Medical genetics and Quantitative trait locus with his study of Genome-wide association study.
His Gene study combines topics in areas such as Bipolar disorder and Immune system.
His study on Computational biology also encompasses disciplines like
- Mendelian randomization which intersects with area such as Disease, Confounding, Causal inference and Mendelian Randomization Analysis,
- Phenotype and related Regulation of gene expression,
- Genotype that intertwine with fields like Statistical power and Chromosome.
His Genetic association study incorporates themes from Heritability, Demography, Haplotype and 1000 Genomes Project.
Between 2018 and 2021, his most popular works were:
- Genome-wide association study identifies 30 loci associated with bipolar disorder (518 citations)
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Genetics
- Internal medicine
Tõnu Esko mostly deals with Genetics, Genome-wide association study, Biobank, Gene and Genetic association.
Tõnu Esko connects Genetics with PCSK9 in his study.
His studies deal with areas such as SNP, Lipid profile, Blood lipids, Cholesterol and Medical genetics as well as Genome-wide association study.
His biological study spans a wide range of topics, including Schizophrenia and Coding.
His Genetic association study combines topics from a wide range of disciplines, such as Meta-analysis, Odds ratio and Cohort.
His research in Single-nucleotide polymorphism intersects with topics in Quantitative trait locus, Breast cancer, Demography and Hazard ratio.
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.
