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Ellen D. Renner

Researcher at Ludwig Maximilian University of Munich

Publications -  42
Citations -  4121

Ellen D. Renner is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Immunoglobulin E & Primary immunodeficiency. The author has an hindex of 25, co-authored 40 publications receiving 3552 citations. Previous affiliations of Ellen D. Renner include University of Washington & Seattle Children's Research Institute.

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Gain-of-function human STAT1 mutations impair IL-17 immunity and underlie chronic mucocutaneous candidiasis

Luyan Liu, +70 more
TL;DR: Whole-exome sequencing reveals activating STAT1 mutations in some patients with autosomal dominant chronic mucocutaneous candidiasis disease.
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Commensal bacteria–derived signals regulate basophil hematopoiesis and allergic inflammation

TL;DR: Results identify a previously unrecognized pathway through which commensal-derived signals influence basophil hematopoiesis and susceptibility to TH2 cytokine–dependent inflammation and allergic disease.
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Heterozygous STAT1 gain-of-function mutations underlie an unexpectedly broad clinical phenotype.

TL;DR: Invasive infections, cerebral aneurysms, and cancers were the strongest predictors of poor outcome, and Circulating interleukin-17A-producing T-cell count was low for most (82%) but not all of the patients tested.
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Classification of Non-Bacterial Osteitis Retrospective study of clinical, immunological and genetic aspects in 89 patients

TL;DR: In this article, the authors defined non-bacterial osteitis (NBO) as a clinical entity possibly associated with autoimmune manifestations and developed diagnostic criteria to differentiate NBO from diseases with similar clinical presentation.
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The European Society for Immunodeficiencies (ESID) Registry Working Definitions for the Clinical Diagnosis of Inborn Errors of Immunity

TL;DR: Clinical criteria for a large number of IEI that were designed in expert panels with an external review are presented and implemented for novel entries and verification of existing data sets from 2014, yielding a substantial refinement.