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Hester M. den Ruijter

Researcher at Utrecht University

Publications -  189
Citations -  12585

Hester M. den Ruijter is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 38, co-authored 159 publications receiving 10571 citations. Previous affiliations of Hester M. den Ruijter include University of Amsterdam.

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Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.
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Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood, +444 more
- 01 Nov 2014 - 
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

Aysu Okbay, +216 more
- 01 Jun 2016 - 
TL;DR: In this paper, the authors conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n= 161,460), and neuroticism(n = 170,911).
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Common Carotid Intima-Media Thickness Measurements in Cardiovascular Risk Prediction A Meta-analysis

TL;DR: The addition of common CIMT measurements to the Framingham Risk Score was associated with small improvement in 10-year risk prediction of first-time myocardial infarction or stroke, but this improvement is unlikely to be of clinical importance.
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The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Thomas W. Winkler, +438 more
- 01 Oct 2015 - 
TL;DR: In this paper, the authors performed meta-analyses of 114 studies with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium.