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Erik Ingelsson

Researcher at Stanford University

Publications -  546
Citations -  99427

Erik Ingelsson is an academic researcher from Stanford University. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 124, co-authored 538 publications receiving 85407 citations. Previous affiliations of Erik Ingelsson include Karolinska Institutet & Cardiovascular Institute of the South.

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Leveraging Human Genetics to Understand the Relation of LDL Cholesterol with Type 2 Diabetes

TL;DR: The observations of LDL-C–lowering alleles in both HMGCR and PCSK9 being associated with T2D risk is especially intriguing in the face of metaanalyses of randomized clinical trials of statins.
Posted ContentDOI

Loss of function, missense, and intronic variants in NOTCH1 confer different risks for left ventricular outflow tract obstructive heart defects in two European cohorts

TL;DR: It is concluded that carrying rare predicted loss of function variants or either of two intronic variants in NOTCH1 confer significant risk for LVOTO, and the utility of population-based datasets in quantifying the specific risk of individual variants for disease related phenotypes is demonstrated.
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Proteomic Analysis of Longitudinal Changes in Blood Pressure.

TL;DR: In conclusion, no novel robust associations with longitudinal BP increase are found in a proximity extension assay-based proteomics investigation in three cohorts of Swedish prospective cohorts.
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Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus

Natalie R. van Zuydam, +72 more
TL;DR: None of the previously characterized CAD loci was found to have specific effects on CAD in T2D individuals, and a genome-wide interaction analysis found no new variants for CAD that could be considered T1D specific.
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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls (vol 4, 170179, 2017)

Jason Flannick, +300 more
TL;DR: This corrects the article DOI: 10.1038/sdata.2017.179 to S Data 2017, which indicates that S Data was first published in 2017, not S Data 2016, which was originally published in 2016.