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Claude Bouchard

Researcher at Pennington Biomedical Research Center

Publications -  1105
Citations -  121841

Claude Bouchard is an academic researcher from Pennington Biomedical Research Center. The author has contributed to research in topics: Body mass index & Obesity. The author has an hindex of 153, co-authored 1076 publications receiving 115307 citations. Previous affiliations of Claude Bouchard include Texas A&M University & University of Texas at Austin.

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The Human Obesity Gene Map: The 1996 Update

TL;DR: Evidence from Mendelian disorders exhibiting obesity as a clinical feature, single-gene mutation rodent models, quantitative trait loci uncovered in crossbreeding experiments with mouse, rat, and pig models, association and case-control studies with candidate genes, and linkage studies with genes and other markers is reviewed.
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Effect of Endothelin 1 Genotype on Blood Pressure Is Dependent on Physical Activity or Fitness Levels

TL;DR: This study provides an illustrative example of how physical activity and fitness level modifies the associations between a candidate gene and outcome phenotype and expresses the expression of the genotype effect is modulated by physical activity or cardiorespiratory fitness level.
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Plasma adrenal, gonadal, and conjugated steroids following long-term exercise-induced negative energy balance in identical twins

TL;DR: It is concluded that a steroid profile characterized by high TESTO and low androgen metabolite levels accompanied the changes in body composition and body fat distribution generated by the exercise-induced negative energy balance.
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A C-1291G polymorphism in the alpha2A-adrenergic receptor gene (ADRA2A) promoter is associated with cortisol escape from dexamethasone and elevated glucose levels.

TL;DR: A C‐1291G polymorphism in the α2A‐adrenergic receptor gene (ADRA2A) promoter is associated with cortisol escape from dexamethasone and elevated glucose levels.
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Defining the genetic architecture of the predisposition to obesity: a challenging but not insurmountable task

TL;DR: With the completion of the sequencing of the human genome, the advances brought about by the International HapMap Project, and the progress in high-throughput genotyping technologies, bioinformatics, and statistical genetics, a more general approach was developed for the identification of genes with small effects on quantitative traits or disease state, known as genome-wide association studies or GWAS.