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N. Charlotte Onland-Moret

Researcher at Utrecht University

Publications -  169
Citations -  17871

N. Charlotte Onland-Moret is an academic researcher from Utrecht University. The author has contributed to research in topics: European Prospective Investigation into Cancer and Nutrition & Genome-wide association study. The author has an hindex of 47, co-authored 149 publications receiving 15432 citations. Previous affiliations of N. Charlotte Onland-Moret include Oklahoma State University Center for Health Sciences & Aarhus University.

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A Genome-Wide Association Meta-Analysis of Circulating Sex Hormone–Binding Globulin Reveals Multiple Loci Implicated in Sex Steroid Hormone Regulation

Andrea D. Coviello, +107 more
- 01 Jul 2012 - 
TL;DR: Evidence of sex-differentiated genetic influences on sex steroid hormone-binding globulin is found and the importance of considering these features when estimating complex trait variance is highlighted.
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Large-Scale Gene-Centric Analysis Identifies Novel Variants for Coronary Artery Disease

Adam S. Butterworth, +355 more
TL;DR: This large-scale gene-centric analysis has identified several novel genes for CAD that relate to diverse biochemical and cellular functions and clarified the literature with regard to many previously suggested genes.
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Using genome-wide pathway analysis to unravel the etiology of complex diseases.

TL;DR: This study analyzed data from two GWAS on type 2 diabetes and found that incorporating gene networks and pathway classification tools into the analysis can point toward significantly overrepresented molecular pathways, which cannot be picked up using traditional single‐locus analyses.
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Abdominal Aortic Aneurysm Is Associated with a Variant in Low-Density Lipoprotein Receptor-Related Protein 1

Morris J. Bown, +507 more
TL;DR: This study has identified a biologically plausible genetic variant associated specifically with AAA, and it is suggested that this variant has a possible functional role in LRP1 expression.
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Obesity genes identified in genome-wide association studies are associated with adiposity measures and potentially with nutrient-specific food preference

TL;DR: The results suggest that these loci are not specifically associated with abdominal adiposity but more generally with obesity, and it is found that some of the SNPs were associated with macronutrient-specific food intake.