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Andrei Barysenka

Researcher at University of Münster

Publications -  5
Citations -  994

Andrei Barysenka is an academic researcher from University of Münster. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 1 publications receiving 730 citations. Previous affiliations of Andrei Barysenka include National Institutes of Health.

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Activated STING in a Vascular and Pulmonary Syndrome

TL;DR: STING-associated vasculopathy with onset in infancy (SAVI) is an autoinflammatory disease caused by gain-of-function mutations in TMEM173, the stimulator of interferon genes (STING), andConstitutive up-regulation of phosphorylated STAT1 in patients' lymphocytes was reduced by JAK inhibitors.
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Author Correction: Rare SLC13A1 variants associate with intervertebral disc disorder highlighting role of sulfate in disc pathology

Gyda Bjornsdottir, +113 more
TL;DR: A genome-wide association study of back pain using diagnoses assigned in clinical practice; dorsalgia (119,100 cases, 909,847 controls) and intervertebral disc disorder (IDD) was conducted in this paper .
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Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations

TL;DR: In this paper , a meta-analysis of gene-based rare variant aggregation optimal tests, applied to the human cardiometabolic proteome, was performed across MANOLIS, Pomak and ORCADES.
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Standing genetic variation affects phenotypic heterogeneity in a SCN5A-mutation founder population with excess sudden cardiac death.

TL;DR: Phe1617del/rs749697698 deletion was associated with isorhythmic dissociation after correction for multiple comparisons (odds ratio 11.23; 95% confidence interval 2.39; P = 1.2 × 10−4) as discussed by the authors .
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Identifying causal serum protein–cardiometabolic trait relationships using whole genome sequencing

TL;DR: In this article , the authors performed a protein quantitative trait locus (pQTL) analysis of 248 serum proteins relevant to cardiometabolic processes in 2893 individuals and found 301 independently associated pQTL variants for 170 proteins including 12 rare variants (minor allele frequency < 1%).