What is he best known for?
The fields of study he is best known for:
His main research concerns Genome-wide association study, Genetics, Genetic architecture, Quantitative trait locus and Genetic association.
Matthew R. Robinson interconnects Body mass index, Genetic variation and Behavioural genetics in the investigation of issues within Genome-wide association study.
In Genetics, Matthew R. Robinson works on issues like Population genetics, which are connected to Minor allele frequency, Negative selection and Natural selection.
Parus is closely connected to Evolutionary biology in his research, which is encompassed under the umbrella topic of Genetic architecture.
His Genetic association research includes themes of Genetic Pleiotropy, Pleiotropy, Confounding and Expression quantitative trait loci.
His SNP research incorporates elements of Meta-analysis and Multifactorial Inheritance.
His most cited work include:
- Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets (882 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)
What are the main themes of his work throughout his whole career to date?
Matthew R. Robinson mostly deals with Genome-wide association study, Genetics, Evolutionary biology, Genetic architecture and Genetic association.
Matthew R. Robinson integrates many fields in his works, including Genome-wide association study and Educational attainment.
His Evolutionary biology study combines topics from a wide range of disciplines, such as Natural selection, Selection, Genetic variation and Linkage disequilibrium.
His Genetic architecture research incorporates themes from Quantitative genetics and Minor allele frequency.
The concepts of his Genetic association study are interwoven with issues in Body mass index, Sample size determination, Generalized linear mixed model, Mendelian Randomization Analysis and Confounding.
As part of the same scientific family, Matthew R. Robinson usually focuses on Heritability, concentrating on Missing heritability problem and intersecting with Human height.
He most often published in these fields:
- Genome-wide association study (52.29%)
- Genetics (44.04%)
- Evolutionary biology (39.45%)
What were the highlights of his more recent work (between 2018-2021)?
- Genome (14.68%)
- Computational biology (19.27%)
- Genome-wide association study (52.29%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Genome, Computational biology, Genome-wide association study, Genetic association and Variance.
His work on Genomics as part of general Genome research is frequently linked to Multi method and Epigenomics, bridging the gap between disciplines.
His Computational biology study combines topics in areas such as Bayesian probability and Genetic architecture.
His research on Genome-wide association study concerns the broader Single-nucleotide polymorphism.
His SNP study introduces a deeper knowledge of Genetics.
Matthew R. Robinson focuses mostly in the field of Contrast, narrowing it down to topics relating to Genetic variation and, in certain cases, Evolutionary biology.
Between 2018 and 2021, his most popular works were:
- Accurate, scalable and integrative haplotype estimation. (45 citations)
- Accurate, scalable and integrative haplotype estimation. (45 citations)
- Bayesian reassessment of the epigenetic architecture of complex traits (11 citations)
In his most recent research, the most cited papers focused on:
Matthew R. Robinson mainly focuses on Sample size determination, Human genome, Data mining, Genome and Haplotype estimation.
His Sample size determination study integrates concerns from other disciplines, such as Genome-wide association study and Gene–environment interaction.
His biological study spans a wide range of topics, including Gold standard, Phaser and Haplotype.
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