What is he best known for?
The fields of study he is best known for:
- Gene
- Statistics
- Internal medicine
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Internal medicine and Single-nucleotide polymorphism.
Genetics is a component of his Genotype, Exome, Gene, Allele frequency and Locus studies.
His Genome-wide association study study integrates concerns from other disciplines, such as Bioinformatics, Case-control study, Allele, Genetic variation and Genetic architecture.
His biological study spans a wide range of topics, including Meta-analysis, Bone mineral, Mesenchymal stem cell differentiation, Computational biology and Femoral neck.
Internal medicine and Endocrinology are frequently intertwined in his study.
His studies deal with areas such as Human genome, Epistasis, Bonferroni correction, Quantitative trait locus and Resampling as well as Single-nucleotide polymorphism.
His most cited work include:
- Defining the role of common variation in the genomic and biological architecture of adult human height (1407 citations)
- A reference panel of 64,976 haplotypes for genotype imputation (1312 citations)
- Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions (1227 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Genome-wide association study, Genetics, Internal medicine, Single-nucleotide polymorphism and Genetic association.
His study looks at the relationship between Genome-wide association study and topics such as Bioinformatics, which overlap with Disease.
The Internal medicine study combines topics in areas such as Endocrinology and Oncology.
His study in Single-nucleotide polymorphism is interdisciplinary in nature, drawing from both Cancer, Genetic model, Allele frequency and Haplotype.
His Genetic association research focuses on Computational biology and how it relates to Genome.
His Odds ratio research integrates issues from Case-control study and Confidence interval.
He most often published in these fields:
- Genome-wide association study (38.46%)
- Genetics (36.83%)
- Internal medicine (26.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome-wide association study (38.46%)
- Genetics (36.83%)
- Internal medicine (26.34%)
In recent papers he was focusing on the following fields of study:
Charles Kooperberg mainly investigates Genome-wide association study, Genetics, Internal medicine, Genetic association and Gene.
The various areas that Charles Kooperberg examines in his Genome-wide association study study include Meta-analysis, Computational biology and Heritability.
His research in Genetics tackles topics such as Sleep in non-human animals which are related to areas like Pulse pressure and Mean arterial pressure.
His Internal medicine research incorporates themes from Diabetes mellitus and Oncology.
His study looks at the relationship between Oncology and fields such as Pancreatic cancer, as well as how they intersect with chemical problems.
His Genetic association research includes themes of Biobank, Transcriptome, Quantitative trait locus, Genetic architecture and Locus.
Between 2018 and 2021, his most popular works were:
- Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use (385 citations)
- Genetic analyses of diverse populations improves discovery for complex traits (209 citations)
- Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program (143 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Statistics
- Internal medicine
Charles Kooperberg spends much of his time researching Genome-wide association study, Genetics, Genetic association, Gene and Genome.
His Genome-wide association study study is concerned with Single-nucleotide polymorphism in general.
Charles Kooperberg interconnects Lipid profile and Multiple comparisons problem in the investigation of issues within Genetics.
The concepts of his Genetic association study are interwoven with issues in Minor allele frequency and Genetic architecture.
His Genome research is multidisciplinary, incorporating elements of Imputation, Computational biology, Human genetics and Genetic variation.
His research integrates issues of Telomere and Cardiology in his study of Internal medicine.
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