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Kees Hovingh

Researcher at University of Amsterdam

Publications -  35
Citations -  5591

Kees Hovingh is an academic researcher from University of Amsterdam. The author has contributed to research in topics: Genome-wide association study & Lipoprotein. The author has an hindex of 16, co-authored 33 publications receiving 5004 citations.

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Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P. Morris, +232 more
- 01 Sep 2012 - 
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Anubha Mahajan, +395 more
- 01 Mar 2014 - 
TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.
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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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Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Sonja I. Berndt, +385 more
- 01 May 2013 - 
TL;DR: A genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry finds a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Sonja I. Berndt, +321 more