What is he best known for?
The fields of study he is best known for:
His main research concerns Genetics, Phenotype, Gene, Quantitative trait locus and Endocrinology.
His work is connected to Genome, Genetic association, Inbred strain, Single-nucleotide polymorphism and Genetic heterogeneity, as a part of Genetics.
His Single-nucleotide polymorphism research incorporates elements of Coronary artery disease, CAD and Bioinformatics.
The various areas that Dominique Gauguier examines in his Quantitative trait locus study include Genetic variation and Gene mapping.
His Endocrinology course of study focuses on Internal medicine and Gut flora.
His study in Genome-wide association study is interdisciplinary in nature, drawing from both Genetic architecture and 1000 Genomes Project.
His most cited work include:
- A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease (1174 citations)
- Large-scale association analysis identifies new risk loci for coronary artery disease (1172 citations)
- Large-scale association analysis identifies new risk loci for coronary artery disease (1172 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Genetics, Internal medicine, Endocrinology, Gene and Quantitative trait locus.
His work in Phenotype, Congenic, Locus, Genome and Gene mapping are all subfields of Genetics research.
His work deals with themes such as Diabetes mellitus and Microbiome, which intersect with Internal medicine.
Dominique Gauguier combines subjects such as Molecular biology and Spontaneously hypertensive rat with his study of Gene.
His Quantitative trait locus study integrates concerns from other disciplines, such as Metabolomics, Chromosome, Genetic linkage, Genetic association and Candidate gene.
Genetic association is a subfield of Single-nucleotide polymorphism that he tackles.
He most often published in these fields:
- Genetics (67.43%)
- Internal medicine (44.04%)
- Endocrinology (36.70%)
What were the highlights of his more recent work (between 2014-2021)?
- Genetics (67.43%)
- Internal medicine (44.04%)
- Endocrinology (36.70%)
In recent papers he was focusing on the following fields of study:
Dominique Gauguier spends much of his time researching Genetics, Internal medicine, Endocrinology, Metabolome and Trimethylamine N-oxide.
His study in Gene, Congenic, Phenotype, Quantitative trait locus and Expression quantitative trait loci falls under the purview of Genetics.
His Quantitative trait locus study incorporates themes from Gene mapping and Metabolomics.
His works in Coronary artery disease and Logistic regression are all subjects of inquiry into Internal medicine.
As a member of one scientific family, Dominique Gauguier mostly works in the field of Endocrinology, focusing on Microbiome and, on occasion, Genetic heterogeneity, Impaired glucose tolerance, Lipogenesis and Carbohydrate-responsive element-binding protein.
His studies in Trimethylamine N-oxide integrate themes in fields like Gut flora and Microbial metabolism.
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)
- A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease (355 citations)
- Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. (286 citations)
In his most recent research, the most cited papers focused on:
Dominique Gauguier mainly investigates Trimethylamine N-oxide, Genetics, Genome-wide association study, Internal medicine and Computational biology.
His research in Trimethylamine N-oxide intersects with topics in Gut flora and Microbial metabolism.
His Genetics study frequently links to other fields, such as Bioinformatics.
His Genome-wide association study research includes elements of CDKAL1, Genetic predisposition, Coronary artery disease, Meta-analysis and 1000 Genomes Project.
As a part of the same scientific family, Dominique Gauguier mostly works in the field of Internal medicine, focusing on Endocrinology and, on occasion, Genetic heterogeneity.
His research in Computational biology tackles topics such as Metabolomics which are related to areas like Gastrointestinal Microbiome, Immune system, Genome and Quantitative trait locus.
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