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Diederick E. Grobbee

Researcher at Utrecht University

Publications -  1108
Citations -  136069

Diederick E. Grobbee is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Risk factor. The author has an hindex of 155, co-authored 1051 publications receiving 122748 citations. Previous affiliations of Diederick E. Grobbee include National Heart Foundation of Australia & Radboud University Nijmegen Medical Centre.

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Trends in the prevalence of hypertension, antihypertensive therapy, and left ventricular hypertrophy from 1950 to 1989.

TL;DR: The notion that the increasing use of antihypertensive medication has resulted in a reduced prevalence of high blood pressure and a concomitant decline in left ventricular hypertrophy in the general population is supported.
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Effect of Moderate Alcohol Consumption on Adiponectin, Tumor Necrosis Factor-α, and Insulin Sensitivity

TL;DR: Moderate alcohol consumption improved insulin sensitivity in relatively insulin-resistant middle-aged men, an effect that may be mediated through alcohol-induced increases in adiponectin.
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Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways

Lisette Stolk, +198 more
- 01 Mar 2012 - 
TL;DR: A meta-analysis of 22 genome-wide association studies in 38,968 women of European descent identified 13 loci newly associated with age at natural menopause, including genes implicated in DNA repair, immune function and immune function.
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Testosterone, sex hormone-binding globulin and the metabolic syndrome: a systematic review and meta-analysis of observational studies

TL;DR: In this paper, the authors conducted a meta-analysis of observational studies relating metabolic syndrome to determinants of testosterone status [total testosterone (TT), free testosterone (FT) and sex hormone binding globulin (SHBG).
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Large-Scale Gene-Centric Meta-Analysis across 39 Studies Identifies Type 2 Diabetes Loci

Richa Saxena, +163 more
TL;DR: Large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to type 2 diabetes risk and suggests substantial overlap of T2D association signals across multiple ethnic groups.