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Institution

Medical University of Graz

EducationGraz, Steiermark, Austria
About: Medical University of Graz is a education organization based out in Graz, Steiermark, Austria. It is known for research contribution in the topics: Population & Medicine. The organization has 5684 authors who have published 12349 publications receiving 417282 citations.


Papers
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Journal ArticleDOI
01 Oct 2005-Blood
TL;DR: This study shows that accurate morphologic and phenotypic analyses allow us to stratify most patients into the prognostically different categories of LBCLLT and FCLDT, and the definition of a third category of L BCLO requires further studies to clarify whether these cases indeed show distinct clinicopathologic features.

215 citations

Journal ArticleDOI
Adrienne Tin1, Jonathan Marten2, Victoria L. Halperin Kuhns3, Yong Li4  +248 moreInstitutions (77)
TL;DR: A trans-ancestry genome-wide association study of serum urate levels identifies 183 loci that improve the prediction of gout in an independent cohort of 334,880 individuals, and implicates the kidney and liver as key target organs and prioritize potential causal genes.
Abstract: Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

214 citations

Journal ArticleDOI
08 Jul 2009-JAMA
TL;DR: 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size were identified, but such findings explained a very small proportion of variance.
Abstract: Context: Echocardiographic measures of left ventricular (LV) structure and function are heritable phenotypes of cardiovascular disease. Objective: To identify common genetic variants associated with cardiac structure and function by conducting a meta-analysis of genome-wide association data in 5 population-based cohort studies (stage 1) with replication (stage 2) in 2 other community-based samples. Design, Setting, and Participants: Within each of 5 community-based cohorts comprising the EchoGen consortium (stage 1; n=12 612 individuals of European ancestry; 55% women, aged 26-95 years; examinations between 1978-2008), we estimated the association between approximately 2.5 million single-nucleotide polymorphisms (SNPs; imputed to the HapMap CEU panel) and echocardiographic traits. In stage 2, SNPs significantly associated with traits in stage 1 were tested for association in 2 other cohorts (n=4094 people of European ancestry). Using a prespecified P value threshold of 5 x 10-7to indicate genome-wide significance, we performed an inverse variance-weighted fixed-effects meta-analysis of genome-wide association data from each cohort. Main Outcome Measures: Echocardiographic traits: LV mass, internal dimensions, wall thickness, systolic dysfunction, aortic root, and left atrial size. Results: In stage 1, 16 genetic loci were associated with 5 echocardiographic traits: 1 each with LV internal dimensions and systolic dysfunction, 3 each with LV mass and wall thickness, and 8 with aortic root size. In stage 2, 5 loci replicated (6q22 locus associated with LV diastolic dimensions, explaining <1%of trait variance; 5q23, 12p12, 12q14, and 17p13 associated with aortic root size, explaining 1%-3% of trait variance). Conclusions: We identified 5 genetic loci harboring common variants that were associated with variation in LV diastolic dimensions and aortic root size, but such findings explained a very small proportion of variance. Further studies are required to replicate these findings, identify the causal variants at or near these loci, characterize their functional significance, and determine whether they are related to overt cardiovascular disease.

214 citations

Journal ArticleDOI
TL;DR: In vitro live imaging revealed that spatially confined expression of CCRL1 was necessary and sufficient for the creation of functional chemokine gradients and enabled the emigration of dendritic cells.
Abstract: Afferent lymph-borne dendritic cells essentially rely on the chemokine receptor CCR7 for their transition from the subcapsular lymph node sinus into the parenchyma, a migratory step driven by putative gradients of CCR7 ligands. We found that lymph node fringes indeed contained physiological gradients of the chemokine CCL21, which depended on the expression of CCRL1, the atypical receptor for the CCR7 ligands CCL19 and CCL21. Lymphatic endothelial cells lining the ceiling of the subcapsular sinus, but not those lining the floor, expressed CCRL1, which scavenged chemokines from the sinus lumen. This created chemokine gradients across the sinus floor and enabled the emigration of dendritic cells. In vitro live imaging revealed that spatially confined expression of CCRL1 was necessary and sufficient for the creation of functional chemokine gradients.

213 citations


Authors

Showing all 5763 results

NameH-indexPapersCitations
Ian J. Deary1661795114161
James F. Wilson146677101883
Nancy L. Pedersen14589094696
William Wijns12775295517
Andrew Simmons10246036608
Franz Fazekas10162949775
Hans-Peter Hartung10081049792
Michael Trauner9866735543
Dietmar Fuchs97111939758
Funda Meric-Bernstam9675336803
Ulf Landmesser9456446096
Aysegul A. Sahin9332230038
Frank Madeo9226945942
Takayoshi Ohkubo9163169634
Jürgen C. Becker9063728741
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022116
20211,411
20201,227
20191,015
2018917