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Jette Bork-Jensen

Researcher at University of Copenhagen

Publications -  69
Citations -  8828

Jette Bork-Jensen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Genome-wide association study & Exome. The author has an hindex of 31, co-authored 62 publications receiving 6449 citations. Previous affiliations of Jette Bork-Jensen include Rigshospitalet & Steno Diabetes Center.

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Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.

Anubha Mahajan, +131 more
- 08 Oct 2018 - 
TL;DR: Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.
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The genetic architecture of type 2 diabetes

Christian Fuchsberger, +349 more
- 11 Jul 2016 - 
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.

The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
TL;DR: Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.
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Exome-wide association study of plasma lipids in > 300,000 individuals

Dajiang J. Liu, +288 more
- 30 Oct 2017 - 
TL;DR: It is found that beta-thalassemia trait carriers displayed lower TC and were protected from coronary artery disease (CAD), and only some mechanisms of lowering LDL-C appeared to increase risk for type 2 diabetes (T2D); and TG-lowering alleles involved in hepatic production of TG-rich lipoproteins tracked with higher liver fat, higher risk for T2D, and lower risk for CAD.

Rare and low-frequency coding variants alter human adult height

Eirini Marouli, +370 more
TL;DR: The results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.