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Serena Sanna

Researcher at University Medical Center Groningen

Publications -  202
Citations -  66349

Serena Sanna is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 99, co-authored 194 publications receiving 59756 citations. Previous affiliations of Serena Sanna include University of Groningen & University of Helsinki.

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Identification of ten loci associated with height highlights new biological pathways in human growth.

TL;DR: A meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs found 10 newly identified and two previously reported loci were strongly associated with variation in height, and highlight several pathways as important regulators of human stature.
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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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Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations.

Melanie Kolz, +64 more
- 05 Jun 2009 - 
TL;DR: In this article, a meta-analysis of genome-wide association scans from 14 studies with 28,141 participants of European descent was conducted, resulting in identification of 954 SNPs distributed across nine loci that exceeded the threshold of genomewide significance, five of which are novel.
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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.