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Eric E. Schadt

Researcher at Icahn School of Medicine at Mount Sinai

Publications -  558
Citations -  88603

Eric E. Schadt is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Gene & Genome-wide association study. The author has an hindex of 121, co-authored 514 publications receiving 76290 citations. Previous affiliations of Eric E. Schadt include United States Military Academy & Cincinnati Children's Hospital Medical Center.

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Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease

Luke Jostins, +105 more
- 01 Nov 2012 - 
TL;DR: A meta-analysis of Crohn’s disease and ulcerative colitis genome-wide association scans is undertaken, followed by extensive validation of significant findings, with a combined total of more than 75,000 cases and controls.
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Biological, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich, +218 more
- 05 Aug 2010 - 
TL;DR: The results identify several novel loci associated with plasma lipids that are also associated with CAD and provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.

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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Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 
TL;DR: Genetic loci associated with body mass index map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor, which may provide new insights into human body weight regulation.
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An integrated map of structural variation in 2,504 human genomes

Peter H. Sudmant, +87 more
- 01 Oct 2015 - 
TL;DR: In this paper, the authors describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which are constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations.