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Nicholas B. Larson

Researcher at Mayo Clinic

Publications -  140
Citations -  2554

Nicholas B. Larson is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 19, co-authored 81 publications receiving 1519 citations. Previous affiliations of Nicholas B. Larson include University of Minnesota & Baylor College of Medicine.

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White blood cells and chronic rhinosinusitis: a Mendelian randomization study

TL;DR: In this paper , a two-sample Mendelian randomization (MR) analysis was performed to investigate causal associations between different types of white blood cells on risk of chronic rhinosinusitis (CRS) utilizing a GWAS summary statistics.
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Blood group antigen loci demonstrate multivariate genetic associations with circulating cellular adhesion protein levels in the Multi-Ethnic Study of Atherosclerosis

TL;DR: The results indicate the biological relevance of blood group antigens on regulation of circulating cellular adhesion pathway proteins while also demonstrating race/ethnicity-specific co-regulatory effects.
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Secretory leukocyte protease inhibitor and risk of heart failure in the Multi-Ethnic Study of Atherosclerosis

TL;DR: In this article , the authors evaluated associations of circulating SLPI and genetically-mediated serum SLPI with incident heart failure and its subtypes in a multi-ethnic cohort of adults using clinical and genetic epidemiological approaches.
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Added value of mass characteristic frequency to 2-D shear wave elastography for differentiation of benign and malignant thyroid nodules.

TL;DR: In this article , the authors evaluated if the addition of fmass to conventional 2D shear wave elastography (SWE) parameters would improve the differentiation of benign from malignant thyroid nodules.
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Recent advances and challenges of rare variant association analysis in the biobank sequencing era

TL;DR: The basic concepts of rare-variant analysis methods, the current state-of-the-art methods in utilizing variant annotations or external controls to improve the statistical power, and particular challenges facing rare variant analysis such as accounting for population structure, extremely unbalanced case-control design are reviewed.