What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
His primary areas of study are Genetics, Genome-wide association study, Single-nucleotide polymorphism, Internal medicine and Genetic association.
His studies in Locus, Gene, Genetic architecture, Quantitative trait locus and Gene mapping are all subfields of Genetics research.
His research integrates issues of Coronary artery disease, Blood pressure, Allele, Allele frequency and Disease in his study of Genome-wide association study.
His work carried out in the field of Single-nucleotide polymorphism brings together such families of science as Mendelian randomization and Genetic predisposition.
His Internal medicine course of study focuses on Endocrinology and SLC2A9 and Haplotype.
His studies deal with areas such as TCF7L2 and Linkage disequilibrium as well as Genetic association.
His most cited work include:
- Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (7922 citations)
- Hundreds of variants clustered in genomic loci and biological pathways affect human height (1614 citations)
- Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk (1543 citations)
What are the main themes of his work throughout his whole career to date?
Genetics, Genome-wide association study, Internal medicine, Locus and Gene are his primary areas of study.
His research in Genetic linkage, Single-nucleotide polymorphism, Genetic association, Haplotype and Gene mapping are components of Genetics.
His study in Single-nucleotide polymorphism is interdisciplinary in nature, drawing from both Allele frequency and Candidate gene.
His Genome-wide association study study combines topics in areas such as Bioinformatics, Coronary artery disease, Blood pressure, Medical genetics and Disease.
His biological study spans a wide range of topics, including Endocrinology, Genotype and Cardiology.
His Locus research integrates issues from Quantitative trait locus, Linkage disequilibrium, Allele and Genetic variation.
He most often published in these fields:
- Genetics (65.77%)
- Genome-wide association study (29.28%)
- Internal medicine (25.90%)
What were the highlights of his more recent work (between 2014-2021)?
- Genetics (65.77%)
- Genome-wide association study (29.28%)
- Genetic association (17.57%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Genetics, Genome-wide association study, Genetic association, Internal medicine and Blood pressure.
The Genetics study combines topics in areas such as Disease and Cholesterol.
Genome-wide association study is a subfield of Single-nucleotide polymorphism that he investigates.
Martin Farrall has researched Genetic association in several fields, including Meta-analysis, Anthropometry and Risk factor.
His Internal medicine research incorporates elements of Endocrinology, Oncology and Cardiology.
He interconnects Genetic analysis, Biobank and Kidney in the investigation of issues within Blood pressure.
Between 2014 and 2021, his most popular works were:
- A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease (1174 citations)
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
- Genetic studies of body mass index yield new insights for obesity biology (781 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Mutation
Martin Farrall mainly focuses on Genome-wide association study, Genetics, Medical genetics, Genetic association and Blood pressure.
His Genome-wide association study research is under the purview of Single-nucleotide polymorphism.
Many of his studies on Genetics involve topics that are commonly interrelated, such as Apolipoprotein B.
The study incorporates disciplines such as Genetic testing, Polymorphism and Bioinformatics in addition to Medical genetics.
His work investigates the relationship between Genetic association and topics such as Risk factor that intersect with problems in Biobank, Lipid profile and Inverse Association.
His Blood pressure research includes themes of Disease, Gene and Genome-Wide Association Analysis.
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