What is he best known for?
The fields of study he is best known for:
- Gene
- Genetics
- Internal medicine
Genetics, Genome-wide association study, Single-nucleotide polymorphism, Body mass index and Obesity are his primary areas of study.
In Genetics, he works on issues like Type 2 diabetes, which are connected to Insulin resistance and Glycemic.
His Genome-wide association study research is multidisciplinary, relying on both Allele frequency, Genetic association, Locus, Genetic architecture and SLC30A8.
His Body mass index research incorporates elements of SH2B1, FTO gene, Glucose homeostasis, Genetics of obesity and Energy metabolism.
His work carried out in the field of Genetics of obesity brings together such families of science as Birth weight, Overweight and Risk factor.
His Obesity study falls within the topics of Internal medicine and Endocrinology.
His most cited work include:
- Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls (7922 citations)
- A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity (3415 citations)
- A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity (3415 citations)
What are the main themes of his work throughout his whole career to date?
Nigel W. Rayner mainly investigates Genetics, Genome-wide association study, Single-nucleotide polymorphism, Genetic association and Body mass index.
The Genome-wide association study study combines topics in areas such as Bioinformatics, Quantitative trait locus, Genetic architecture, Locus and Minor allele frequency.
The various areas that Nigel W. Rayner examines in his Single-nucleotide polymorphism study include Genotyping, Copy-number variation and Heritability.
His Body mass index research includes themes of FTO gene, Obesity, Case-control study and SH2B1.
His Obesity study introduces a deeper knowledge of Endocrinology.
He focuses mostly in the field of SH2B1, narrowing it down to topics relating to Genetics of obesity and, in certain cases, Risk factor.
He most often published in these fields:
- Genetics (131.36%)
- Genome-wide association study (122.03%)
- Single-nucleotide polymorphism (41.53%)
What were the highlights of his more recent work (between 2015-2021)?
- Genetics (131.36%)
- Genome-wide association study (122.03%)
- Whole genome sequencing (23.73%)
In recent papers he was focusing on the following fields of study:
Nigel W. Rayner mostly deals with Genetics, Genome-wide association study, Whole genome sequencing, Genetic association and Internal medicine.
His work in Genetics addresses subjects such as Lipid metabolism, which are connected to disciplines such as Heritability.
His Genome-wide association study study is concerned with the larger field of Single-nucleotide polymorphism.
His Whole genome sequencing research is multidisciplinary, incorporating perspectives in Computational biology and Allele.
His Internal medicine study combines topics from a wide range of disciplines, such as Type 2 diabetes and Oncology.
His work in Odds ratio addresses issues such as Schizophrenia, which are connected to fields such as Body mass index.
Between 2015 and 2021, his most popular works were:
- An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans (374 citations)
- An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans (374 citations)
- An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans (374 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Internal medicine
- Genetics
His primary areas of investigation include Genetics, Imputation, Genome-wide association study, Genetic association and Whole genome sequencing.
Genetics and Computational biology are commonly linked in his work.
His Computational biology study incorporates themes from Genetic variation, Allele and Human genome.
Nigel W. Rayner combines subjects such as Anthropometry, Mass index and Waist with his study of Genome-wide association study.
His Genetic association research is multidisciplinary, incorporating elements of Minor allele frequency, Exome, Locus and Candidate gene.
His Genetic architecture study combines topics in areas such as Bioinformatics, Glucose homeostasis and 1000 Genomes Project.
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