What is he best known for?
The fields of study he is best known for:
- Law
- Statistics
- Social science
His primary scientific interests are in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Behavioural genetics and SNP.
His Genome-wide association study study combines topics in areas such as Quantitative trait locus, Polygenic risk score, Polymorphism and Genetic association.
His study explores the link between Genetics and topics such as Educational attainment that cross with problems in Gene–environment interaction.
In his study, Endophenotype and Allele is inextricably linked to Replicate, which falls within the broad field of Single-nucleotide polymorphism.
Genotype, Molecular genetics, Genetic variation, Biobank and Phenotype is closely connected to Candidate gene in his research, which is encompassed under the umbrella topic of Behavioural genetics.
His SNP study frequently draws connections to adjacent fields such as Meta-analysis.
His most cited work include:
- Redefine statistical significance (993 citations)
- Genome-wide association study identifies 74 loci associated with educational attainment (825 citations)
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (770 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Genome-wide association study, Genetics, Single-nucleotide polymorphism, Educational attainment and Genetic association.
The study incorporates disciplines such as Evolutionary biology, Heritability, Multi trait, Behavioural genetics and Genetic architecture in addition to Genome-wide association study.
His work on Replicate expands to the thematically related Genetics.
His studies deal with areas such as Meta-analysis, Genome and Genetic correlation as well as Single-nucleotide polymorphism.
His work focuses on many connections between Educational attainment and other disciplines, such as Developmental psychology, that overlap with his field of interest in Predictive power.
His research on Genetic association often connects related topics like Neuroticism.
He most often published in these fields:
- Genome-wide association study (44.09%)
- Genetics (34.41%)
- Single-nucleotide polymorphism (32.80%)
What were the highlights of his more recent work (between 2017-2021)?
- Genome-wide association study (44.09%)
- Single-nucleotide polymorphism (32.80%)
- Genetics (34.41%)
In recent papers he was focusing on the following fields of study:
Genome-wide association study, Single-nucleotide polymorphism, Genetics, Genetic association and SNP are his primary areas of study.
Daniel J. Benjamin has researched Genome-wide association study in several fields, including Meta-analysis, MEDLINE and Summary statistics.
His study in Meta-analysis is interdisciplinary in nature, drawing from both Heritability, Multifactorial Inheritance, Case-control study and Medical genetics.
His Multifactorial Inheritance research focuses on Educational attainment and how it relates to Behavioural genetics.
He interconnects Genome and Assortative mating in the investigation of issues within Single-nucleotide polymorphism.
Daniel J. Benjamin has included themes like Obesity and Social identity theory in his Genetics study.
Between 2017 and 2021, his most popular works were:
- 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)
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals (770 citations)
In his most recent research, the most cited papers focused on:
- Law
- Statistics
- Social science
Daniel J. Benjamin mainly focuses on Single-nucleotide polymorphism, Genome-wide association study, Genetic association, Genetics and Meta-analysis.
His work on Population stratification as part of general Single-nucleotide polymorphism research is often related to Mate choice, thus linking different fields of science.
His work carried out in the field of Genome-wide association study brings together such families of science as Multi trait and Polymorphism.
His studies in Genetic association integrate themes in fields like Neuroticism, Explained variation, Quantitative trait locus, Computational biology and Summary statistics.
His research in Genetics intersects with topics in Body mass index and Obesity.
His Meta-analysis research incorporates themes from SNP, Multifactorial Inheritance, Behavioural genetics, Educational attainment and Heritability.
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