What is he best known for?
The fields of study he is best known for:
- Finance
- Genetics
- Social science
David Cesarini mainly focuses on Genome-wide association study, Genetics, Behavioural genetics, Educational attainment and Heritability.
His Genome-wide association study study incorporates themes from Polygenic risk score, Neuroticism, Polymorphism and Genetic association.
His work carried out in the field of Neuroticism brings together such families of science as Quantitative trait locus, Explained variation, Computational biology and Summary statistics.
The Behavioural genetics study combines topics in areas such as SNP, Multifactorial Inheritance, Meta-analysis and Socialization.
David Cesarini combines subjects such as Biobank, Endophenotype, Replicate, Medical genetics and Allele with his study of Educational attainment.
His studies deal with areas such as Social psychology, Linkage disequilibrium, Gene, Human intelligence and Genetic architecture as well as Heritability.
His most cited work include:
- Redefine statistical significance (993 citations)
- Redefine statistical significance (993 citations)
- Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Genome-wide association study, Genetics, Single-nucleotide polymorphism, Educational attainment and Heritability.
The study incorporates disciplines such as Evolutionary biology, Genetic association, Behavioural genetics and Summary statistics in addition to Genome-wide association study.
David Cesarini has included themes like Neuroticism, Sample size determination and Human height in his Genetic association study.
His work is dedicated to discovering how Single-nucleotide polymorphism, Replicate are connected with Molecular genetics and other disciplines.
His Educational attainment research incorporates themes from Biobank, Demography, Cognition, Developmental psychology and Allele.
His work in Medical genetics addresses subjects such as Endophenotype, which are connected to disciplines such as Polymorphism.
He most often published in these fields:
- Genome-wide association study (47.53%)
- Genetics (33.95%)
- Single-nucleotide polymorphism (29.01%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (47.53%)
- Single-nucleotide polymorphism (29.01%)
- Genetics (33.95%)
In recent papers he was focusing on the following fields of study:
David Cesarini spends much of his time researching Genome-wide association study, Single-nucleotide polymorphism, Genetics, Genetic association and Summary statistics.
His Genome-wide association study research is multidisciplinary, incorporating elements of Meta-analysis and Data science.
His Meta-analysis research includes elements of Multifactorial Inheritance, Educational attainment, Behavioural genetics and Heritability.
David Cesarini interconnects Genome and Assortative mating in the investigation of issues within Single-nucleotide polymorphism.
His research in the fields of SNP and Genetic architecture overlaps with other disciplines such as Type 2 diabetes.
His research integrates issues of Quantitative trait locus, Explained variation, Computational biology and Polymorphism in his study of Summary statistics.
Between 2017 and 2021, his most popular works were:
- Redefine statistical significance (993 citations)
- Redefine statistical significance (993 citations)
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (770 citations)
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