E
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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Journal ArticleDOI
Comprehensive Investigation of Circulating Biomarkers and Their Causal Role in Atherosclerosis-Related Risk Factors and Clinical Events
Daniela Zanetti,Stefan Gustafsson,Themistocles L. Assimes,Themistocles L. Assimes,Erik Ingelsson,Erik Ingelsson +5 more
TL;DR: The results suggest that it is unlikely that CRP (C-reactive protein) and vitamin D play causal roles of any meaningful magnitude in development of cardiometabolic disease.
Posted ContentDOI
Components of genetic associations across 2,138 phenotypes in the UK Biobank highlight novel adipocyte biology
Yosuke Tanigawa,Jiehan Li,Jiehan Li,Johanne Marie Justesen,Johanne Marie Justesen,Heiko Horn,Heiko Horn,Matthew Aguirre,Christopher DeBoever,Christopher C. Chang,Balasubramanian Narasimhan,Kasper Lage,Kasper Lage,Kasper Lage,Trevor Hastie,Chong Yon Park,Gill Bejerano,Erik Ingelsson,Erik Ingelsson,Manuel A. Rivas +19 more
TL;DR: The approach to dissect components of genetic associations across human phenotypes will accelerate biomedical hypothesis generation by providing insights on previously unexplored latent structures.
Journal ArticleDOI
Prediction impact curve is a new measure integrating intervention effects in the evaluation of risk models.
William Campbell,Andrea Ganna,Andrea Ganna,Erik Ingelsson,A. Cecile J.W. Janssens,A. Cecile J.W. Janssens +5 more
TL;DR: A new measure of assessing the performance of risk models, the area under the prediction impact curve (auPIC), which quantifies the performanceof risk models in terms of their average health impact in the population is proposed.
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Use of type 2 diabetes risk scores in clinical practice: a call for action
TL;DR: The increased attention given recently to nonEuropean and US contexts is laudable, but research needs to be redirected toward replication and validation, rather than drafting of novel scores.
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Effects of trans10cis12CLA-induced insulin resistance on retinol-binding protein 4 concentrations in abdominally obese men
TL;DR: In this randomized, placebo-controlled, double-blind study of 57 abdominally obese middle-aged men, conjugated linoleic acid (CLA) did not induce changes in retinol-binding protein 4 concentrations (RBP4), despite marked induced insulin resistance.