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Jessica van Setten

Researcher at Utrecht University

Publications -  36
Citations -  9303

Jessica van Setten is an academic researcher from Utrecht University. The author has contributed to research in topics: Medicine & Genome-wide association study. The author has an hindex of 22, co-authored 23 publications receiving 8334 citations. Previous affiliations of Jessica van Setten include Leiden University.

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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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Whole-genome sequence variation, population structure and demographic history of the Dutch population

Laurent C. Francioli, +91 more
- 01 Jun 2014 - 
TL;DR: The Genome of the Netherlands (GoNL) Project is described, in which the whole genomes of 250 Dutch parent-offspring families were sequenced and a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions were constructed.
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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.
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Composition of Carotid Atherosclerotic Plaque Is Associated With Cardiovascular Outcome A Prognostic Study

TL;DR: The local atherosclerotic plaque composition in patients undergoing carotid endarterectomy is an independent predictor of future cardiovascular events and were independent of clinical risk factors and medication use.