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 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.
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.
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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A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
M Nikpay;A Goel;Won H-H.;L M Hall.
Nature Genetics (2015)
Large-scale association analysis identifies new risk loci for coronary artery disease
Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall.
Nature Genetics (2013)
Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice
Marc-Emmanuel Dumas;Richard H. Barton;Ayo Toye;Olivier Cloarec.
Proceedings of the National Academy of Sciences of the United States of America (2006)
Large Scale Association Analysis Identifies Three Susceptibility Loci for Coronary Artery Disease
Stephanie Saade;Jean-Baptiste Cazier;Michella Ghassibe-Sabbagh;Sonia Youhanna.
PLOS ONE (2011)
Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.
Olivier Cloarec;Marc-Emmanuel Dumas;Andrew Craig;Richard H Barton.
Analytical Chemistry (2005)
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Majid Nikpay;Anuj Goel;Hong-Hee Won;Leanne M. Hall.
Genome-wide genetic association of complex traits in heterogeneous stock mice
William Valdar;Leah C Solberg;Leah C Solberg;Dominique Gauguier;Stephanie Burnett.
Nature Genetics (2006)
Aryl hydrocarbon receptor nuclear translocator-like (BMAL1) is associated with susceptibility to hypertension and type 2 diabetes.
Peng Y. Woon;Pamela J. Kaisaki;José Bragança;Marie-Thérèse Bihoreau.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.
Hou Feng Zheng;Vincenzo Forgetta;Yi Hsiang Hsu;Yi Hsiang Hsu;Karol Estrada.
Chromosomal mapping of genetic loci associated with non-insulin dependent diabetes in the GK rat
Dominique Gauguier;Dominique Gauguier;Philippe Froguel;Philippe Froguel;Véronique Parent;Catherine Bernard.
Nature Genetics (1996)
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