What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Genome-wide association study, Polymorphism, Genetic association and Single-nucleotide polymorphism.
In general Genetics, his work in Whole genome sequencing, Genome and Gene is often linked to Transmembrane transporter activity and Kidney development linking many areas of study.
His Genome-wide association study research includes elements of Medical genetics, Case-control study, Allele and Genetic architecture.
His Polymorphism research integrates issues from Blood pressure, Allele frequency, Meta-analysis, Genotyping and Hemodynamics.
Many of his research projects under Single-nucleotide polymorphism are closely connected to Warfarin with Warfarin, tying the diverse disciplines of science together.
His research integrates issues of Human genetic variation, Copy-number variation, SNP genotyping, International HapMap Project and Minor allele frequency in his study of Imputation.
His most cited work include:
- Integrating common and rare genetic variation in diverse human populations (2251 citations)
- Genome and virulence determinants of high virulence community-acquired MRSA. (1174 citations)
- Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries (799 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Single-nucleotide polymorphism, Gene and Genetic association.
The Genetics study combines topics in areas such as Meta-analysis and Type 2 diabetes.
His Genome-wide association study research incorporates elements of Body mass index, Linkage disequilibrium, Medical genetics and Case-control study.
Fumihiko Takeuchi interconnects Genotyping, Genetic predisposition, Haplotype and Candidate gene in the investigation of issues within Single-nucleotide polymorphism.
His Chromosome study in the realm of Gene connects with subjects such as Cholesterylester transfer protein.
In his study, Cholesterol is inextricably linked to Locus, which falls within the broad field of Genetic association.
He most often published in these fields:
- Genetics (65.38%)
- Genome-wide association study (40.38%)
- Single-nucleotide polymorphism (25.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Genetics (65.38%)
- Genome-wide association study (40.38%)
- Gene (24.04%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Genetics, Genome-wide association study, Gene, Genetic association and Cholesterol.
Fumihiko Takeuchi performs integrative Genetics and Mean arterial pressure research in his work.
His biological study spans a wide range of topics, including SNP and Locus.
His Gene research includes themes of Meta-analysis and Type 2 diabetes.
Fumihiko Takeuchi studied Cholesterol and Lipid metabolism that intersect with Triglyceride.
His Genome study combines topics in areas such as Risk factor, GNB3 and Genetic architecture.
Between 2018 and 2021, his most popular works were:
- Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions (40 citations)
- Identification of type 2 diabetes loci in 433,540 East Asian individuals (39 citations)
- Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity (32 citations)
In his most recent research, the most cited papers focused on:
His primary areas of study are Genome-wide association study, Genetics, Locus, Lipid metabolism and Cholesterol.
His Genome-wide association study study incorporates themes from Pulse pressure, Blood pressure, Heart failure and Insulin resistance.
His Genetics study often links to related topics such as Diastole.
Fumihiko Takeuchi has researched Locus in several fields, including Meta-analysis, Expression quantitative trait loci, Case-control study and Allele.
His Lipid metabolism research is multidisciplinary, incorporating elements of Lipid profile and Blood lipids, Lipid Measurement.
He has included themes like SNP and Genotype in his Cholesterol study.
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