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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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Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study

TL;DR: In a population-scale cohort, lower BMI was consistently associated with reduced diabetes risk across BMI, family history, and genetic risk categories, suggesting all individuals can substantially reduce their diabetes risk through weight loss.
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Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies

TL;DR: In high-throughput studies, the proportion of significant findings from a 'training' sample that are replicated in a 'validation' sample is a function of false-positive rate and power in both the training and validation samples, which is referred to as rediscovery rate (RDR).
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Identification of 22 novel loci associated with urinary biomarkers of albumin, sodium, and potassium excretion

TL;DR: Overall, 22 novel genome-wide significant associations with urinary biomarkers are identified and several previously established associations are confirmed, providing new insights into the genetic basis of these traits and their connection to chronic diseases.
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A Nationwide Study of Inpatient Admissions, Mortality, and Costs for Patients with Cirrhosis from 2005 to 2015 in the USA.

TL;DR: Rates and costs of admissions in cirrhotic patients have increased substantially between 2005 and 2015 in the USA, but varied by liver disease etiology, with decreasing rate for HCV-associated cirrhosis and for HBV- associated cir rhosis but increasing for NAFLD-associated Cirrhosis.
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Genome-wide association study of coronary artery disease among individuals with diabetes: the UK Biobank

TL;DR: The authors' results indicate large similarities between the genetic architecture of CAD in participants with and without diabetes, and larger studies are needed to establish whether there are important diabetes-specific CAD loci.