2023 - Research.com Medicine in United Kingdom Leader Award
2023 - Research.com Genetics in United Kingdom Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Genetics and Molecular Biology in United Kingdom Leader Award
His primary areas of investigation include Genetics, Internal medicine, Genome-wide association study, Endocrinology and Type 2 diabetes. His Genetics study deals with Obesity intersecting with SH2B1. His Internal medicine research is multidisciplinary, incorporating elements of Mutation and TCF7L2.
His Genome-wide association study study integrates concerns from other disciplines, such as Body mass index, Linkage disequilibrium, Quantitative trait locus, Genetic architecture and Allele. His study in Diabetes mellitus, Insulin resistance, Insulin, Glucose homeostasis and Adiponectin is done as part of Endocrinology. The concepts of his Type 2 diabetes study are interwoven with issues in Birth weight, Case-control study, Melatonin receptor 1B and SLC30A8.
His main research concerns Internal medicine, Genetics, Endocrinology, Type 2 diabetes and Diabetes mellitus. His Genetics and Genome-wide association study, Single-nucleotide polymorphism, Gene, Genetic association and Locus investigations all form part of his Genetics research activities. His Genome-wide association study research incorporates elements of Quantitative trait locus, Genetic architecture, Medical genetics and Allele frequency.
Philippe Froguel has researched Endocrinology in several fields, including Mutation and Allele. His Type 2 diabetes research includes themes of TCF7L2, Case-control study, Genetic predisposition and Bioinformatics. His Obesity research is multidisciplinary, incorporating perspectives in Body mass index and Polymorphism.
His scientific interests lie mostly in Internal medicine, Genetics, Genome-wide association study, Type 2 diabetes and Endocrinology. Within one scientific family, Philippe Froguel focuses on topics pertaining to Mendelian randomization under Internal medicine, and may sometimes address concerns connected to Mendelian Randomization Analysis. His Genetics study frequently draws connections to adjacent fields such as Meta-analysis.
His Genome-wide association study research focuses on Genetic architecture and how it connects with Computational biology. He combines subjects such as Insulin, Bioinformatics and Circadian rhythm with his study of Type 2 diabetes. His Endocrinology study frequently links to adjacent areas such as Inflammation.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Internal medicine, Endocrinology and Genetic association. His Genome-wide association study research entails a greater understanding of Single-nucleotide polymorphism. His research in Genetics intersects with topics in Type 2 diabetes and Bioinformatics.
Philippe Froguel has included themes like Insulin, Case-control study and Secretion in his Type 2 diabetes study. His work is dedicated to discovering how Internal medicine, Diabetes mellitus are connected with Research design and other disciplines. His Endocrinology research is multidisciplinary, incorporating elements of Alcohol and Regulation of gene expression.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The fat-derived hormone adiponectin reverses insulin resistance associated with both lipoatrophy and obesity
T. Yamauchi;J. Kamon;H. Waki;Y. Terauchi.
Nature Medicine (2001)
Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated protein kinase
T Yamauchi;J Kamon;Y Minokoshi;Y Ito.
Nature Medicine (2002)
Cloning of adiponectin receptors that mediate antidiabetic metabolic effects
Toshimasa Yamauchi;Junji Kamon;Yusuke Ito;Atsushi Tsuchida.
Nature (2003)
A genome-wide association study identifies novel risk loci for type 2 diabetes
Robert Sladek;Ghislain Rocheleau;Johan Rung;Christian Dina.
Nature (2007)
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
A mutation in the human leptin receptor gene causes obesity and pituitary dysfunction
Karine Clément;Christian Vaisse;Najiba Lahlou;Sylvie Cabrol.
Nature (1998)
Genetic studies of body mass index yield new insights for obesity biology
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice.
Nature (2015)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk (vol 42, pg 105, 2010)
J Dupuis;C Langenberg;I Prokopenko;R Saxena.
Nature Genetics (2010)
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
Benjamin F. Voight;Benjamin F. Voight;Laura J. Scott;Valgerdur Steinthorsdottir;Andrew P. Morris.
Nature Genetics (2010)
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