Filter and export

Publications

188 Publications visible to you, out of a total of 188
Cardiac surgery fast-track treatment in a postanesthetic care unit: six-month results of the Leipzig fast-track concept
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND\backslashr\backslashnThe authors compared the safety and efficacy of a newly developed fast-track concept at their center, including implementation of a direct admission postanesthetic care … unit, to standard perioperative management.\backslashr\backslashnMETHODS\backslashr\backslashnAll fast-track patients treated within the first 6 months of implementation of our direct admission postanesthetic care unit were matched via propensity scores and compared with a historical control group of patients who underwent cardiac surgery prior to fast-track implementation.\backslashr\backslashnRESULTS\backslashr\backslashnA total of 421 fast-track patients were matched successfully to 421 control patients. The two groups of patients had a similar age (64 +/- 13 vs. 64 +/- 12 yr for fast-track vs. control, P = 0.45) and European System for Cardiac Operative Risk Evaluation-predicted risk of mortality (4.8 +/- 6.1% vs. 4.6 +/- 5.1%, P = 0.97). Fast-track patients had significantly shorter times to extubation (75 min [45-110] vs. 900 min [600-1140]), as well as shorter lengths of stay in the postanesthetic or intensive care unit (4 h [3.0-5] vs. 20 h [16-25]), intermediate care unit (21 h [17-39] vs. 26 h [19-49]), and hospital (10 days [8-12] vs. 11 days [9-14]) (expressed as median and interquartile range, all P \textless 0.01). Fast-track patients also had a lower risk of postoperative low cardiac output syndrome (0.5% vs. 2.9%, P \textless 0.05) and mortality (0.5% vs. 3.3%, P \textless 0.01).\backslashr\backslashnCONCLUSION\backslashr\backslashnThe Leipzig fast-track protocol is a safe and effective method to manage cardiac surgery patients after a variety of operations. BACKGROUND The authors compared the safety and efficacy of a newly developed fast-track concept at their center, including implementation of a direct admission postanesthetic care unit, to standard perioperative management. METHODS All fast-track patients treated within the first 6 months of implementation of our direct admission postanesthetic care unit were matched via propensity scores and compared with a historical control group of patients who underwent cardiac surgery prior to fast-track implementation. RESULTS A total of 421 fast-track patients were matched successfully to 421 control patients. The two groups of patients had a similar age (64 +/- 13 vs. 64 +/- 12 yr for fast-track vs. control, P = 0.45) and European System for Cardiac Operative Risk Evaluation-predicted risk of mortality (4.8 +/- 6.1% vs. 4.6 +/- 5.1%, P = 0.97). Fast-track patients had significantly shorter times to extubation (75 min [45-110] vs. 900 min [600-1140]), as well as shorter lengths of stay in the postanesthetic or intensive care unit (4 h [3.0-5] vs. 20 h [16-25]), intermediate care unit (21 h [17-39] vs. 26 h [19-49]), and hospital (10 days [8-12] vs. 11 days [9-14]) (expressed as median and interquartile range, all P \textless 0.01). Fast-track patients also had a lower risk of postoperative low cardiac output syndrome (0.5% vs. 2.9%, P \textless 0.05) and mortality (0.5% vs. 3.3%, P \textless 0.01). CONCLUSION The Leipzig fast-track protocol is a safe and effective method to manage cardiac surgery patients after a variety of operations.

Authors: Joerg Ender, Michael Andrew Borger, Markus Scholz, Anne-Kathrin Funkat, Nadeem Anwar, Marcus Sommer, Friedrich Wilhelm Mohr, Jens Fassl

Date Published: 2008

Publication Type: Journal article

Catalyzing Transcriptomics Research in Cardiovascular Disease: The CardioRNA COST Action CA17129
Genetical Statistics and Systems Biology

Abstract (Expand)

Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, … which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field.COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).

Authors: Clarissa Pedrosa da C. Gomes, Bence Ágg, Andrejaana Andova, Serdal Arslan, Andrew Baker, Monika Barteková, Dimitris Beis, Fay Betsou, Stephanie Bezzina Wettinger, Branko Bugarski, Gianluigi Condorelli, Gustavo José Justo da Silva, Sabrina Danilin, David de Gonzalo-Calvo, Alfonso Buil, Maria Carmo-Fonseca, Francisco J. Enguita, Kyriacos Felekkis, Peter Ferdinandy, Mariann Gyöngyösi, Matthias Hackl, Kanita Karaduzovic-Hadziabdic, Jan Hellemans, Stephane Heymans, Markéta Hlavackova, Morten Andre Hoydal, Aleksandra Jankovic, Amela Jusic, Dimitris Kardassis, Risto Kerkelä, Gabriela M. Kuster, Päivi Lakkisto, Przemyslaw Leszek, Mitja Lustrek, Lars Maegdefessel, Fabio Martelli, Susana Novella, Timothy O’Brien, Christos Papaneophytou, Thierry Pedrazzini, Florence Pinet, Octavian Popescu, Ines Potočnjak, Emma Robinson, Shlomo Sasson, Markus Scholz, Maya Simionescu, Monika Stoll, Zoltan V. Varga, Manlio Vinciguerra, Angela Xuereb, Mehmet Birhan Yilmaz, Costanza Emanueli, Yvan Devaux, behalf of the EU-CardioRNA COST Action on

Date Published: 1st Jun 2019

Publication Type: Journal article

Cellular Adhesion Gene SELP Is Associated with Rheumatoid Arthritis and Displays Differential Allelic Expression // Cellular adhesion gene SELP is associated with rheumatoid arthritis and displays differential allelic expression
Genetical Statistics and Systems Biology

Abstract (Expand)

In rheumatoid arthritis (RA), a key event is infiltration of inflammatory immune cells into the synovial lining, possibly aggravated by dysregulation of cellular adhesion molecules. Therefore, single … nucleotide polymorphisms of 14 genes involved in cellular adhesion processes (CAST, ITGA4, ITGB1, ITGB2, PECAM1, PTEN, PTPN11, PTPRC, PXN, SELE, SELP, SRC, TYK2, and VCAM1) were analyzed for association with RA. Association analysis was performed consecutively in three European RA family sample groups (Nfamilies = 407). Additionally, we investigated differential allelic expression, a possible functional consequence of genetic variants. SELP (selectin P, CD62P) SNP-allele rs6136-T was associated with risk for RA in two RA family sample groups as well as in global analysis of all three groups (ptotal = 0.003). This allele was also expressed preferentially (p\textless10-6) with a two- fold average increase in regulated samples. Differential expression is supported by data from Genevar MuTHER (p1 = 0.004; p2 = 0.0177). Evidence for influence of rs6136 on transcription factor binding was also found in silico and in public datasets reporting in vitro data. In summary, we found SELP rs6136-T to be associated with RA and with increased expression of SELP mRNA. SELP is located on the surface of endothelial cells and crucial for recruitment, adhesion, and migration of inflammatory cells into the joint. Genetically determined increased SELP expression levels might thus be a novel additional risk factor for RA. In rheumatoid arthritis (RA), a key event is infiltration of inflammatory immune cells into the synovial lining, possibly aggravated by dysregulation of cellular adhesion molecules. Therefore, single nucleotide polymorphisms of 14 genes involved in cellular adhesion processes (CAST, ITGA4, ITGB1, ITGB2, PECAM1, PTEN, PTPN11, PTPRC, PXN, SELE, SELP, SRC, TYK2, and VCAM1) were analyzed for association with RA. Association analysis was performed consecutively in three European RA family sample groups (Nfamilies = 407). Additionally, we investigated differential allelic expression, a possible functional consequence of genetic variants. SELP (selectin P, CD62P) SNP-allele rs6136-T was associated with risk for RA in two RA family sample groups as well as in global analysis of all three groups (ptotal = 0.003). This allele was also expressed preferentially (p\textless10-6) with a two- fold average increase in regulated samples. Differential expression is supported by data from Genevar MuTHER (p1 = 0.004; p2 = 0.0177). Evidence for influence of rs6136 on transcription factor binding was also found in silico and in public datasets reporting in vitro data. In summary, we found SELP rs6136-T to be associated with RA and with increased expression of SELP mRNA. SELP is located on the surface of endothelial cells and crucial for recruitment, adhesion, and migration of inflammatory cells into the joint. Genetically determined increased SELP expression levels might thus be a novel additional risk factor for RA.

Authors: Jana Burkhardt, Mechthild Blume, Elisabeth Petit-Teixeira, Vitor Hugo Teixeira, Anke Steiner, Elfi Quente, Grit Wolfram, Markus Scholz, Céline Pierlot, Paola Migliorini, Stefano Bombardieri, Alejandro Balsa, René Westhovens, Pilar Barrera, Timothy R D J Radstake, Helena Alves, Thomas Bardin, Bernard Prum, Frank Emmrich, François Cornelis, Peter Ahnert, Holger Kirsten

Date Published: 22nd Aug 2014

Publication Type: Journal article

Cholesterol esterification in plasma as a biomarker for liver function and prediction of mortality
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND Advanced stages of liver cirrhosis lead to a dramatically increased mortality. For valid identification of these patients suitable biomarkers are essential. The most important biomarkers for …r liver function are bilirubin and prothrombin time expressed as International Normalized Ratio (INR). However, the influence of several anticoagulants on the prothrombin time limits its diagnostic value. Aim of this study was the evaluation of cholesterol esterification (CE) fraction (esterified cholesterol vs. total cholesterol) as an alternative biomarker for liver synthesis and mortality prediction. Under physiological conditions the CE fraction in blood is closely regulated by lecithin-cholesterol acyltransferase (LCAT) which is produced in the liver. METHODS One hundred forty-two patients with liver disease clinically considered for orthotopic liver transplant for different indications were enrolled in the study. One patient was excluded because of the intake of a direct oral factor Xa inhibitor which has a strong impact on prothrombin time. RESULTS Results of CE fraction were in good agreement with INR (R(2) = 0.73; p \textless 0.001). In patients who died or survived within three months mean CE fraction was 56% vs. 74% (p \textless 0.001) and mean INR was 2.0 vs. 1.3 (p \textless 0.001), respectively. The predictive value of CE fraction for three-month mortality risk was higher compared to INR (p = 0.04). Results for one-year mortality were comparable. CONCLUSIONS The cholesterol esterification fraction is a valid biomarker for liver synthesis and allows reliable prediction of mortality. In contrast to INR, it is independent of anticoagulation and other analytical limitations of coagulation tests.

Authors: Thorsten Kaiser, Benedict Kinny-Köster, Michael Bartels, Thomas Berg, Markus Scholz, Cornelius Engelmann, Daniel Seehofer, Susen Becker, Uta Ceglarek, Joachim Thiery

Date Published: 1st Dec 2017

Publication Type: Journal article

Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans
Genetical Statistics and Systems Biology

Abstract (Expand)

Circular RNAs (circRNAs) are broadly expressed in eukaryotic cells, but their molecular mechanism in human disease remains obscure. Here we show that circular antisense non-coding RNA in the INK4 locus … (circANRIL), which is transcribed at a locus of atherosclerotic cardiovascular disease on chromosome 9p21, confers atheroprotection by controlling ribosomal RNA (rRNA) maturation and modulating pathways of atherogenesis. CircANRIL binds to pescadillo homologue 1 (PES1), an essential 60S-preribosomal assembly factor, thereby impairing exonuclease-mediated pre-rRNA processing and ribosome biogenesis in vascular smooth muscle cells and macrophages. As a consequence, circANRIL induces nucleolar stress and p53 activation, resulting in the induction of apoptosis and inhibition of proliferation, which are key cell functions in atherosclerosis. Collectively, these findings identify circANRIL as a prototype of a circRNA regulating ribosome biogenesis and conferring atheroprotection, thereby showing that circularization of long non-coding RNAs may alter RNA function and protect from human disease.

Authors: Lesca M. Holdt, Anika Stahringer, Kristina Sass, Garwin Pichler, Nils A. Kulak, Wolfgang Wilfert, Alexander Kohlmaier, Andreas Herbst, Bernd H. Northoff, Alexandros Nicolaou, Gabor Gäbel, Frank Beutner, Markus Scholz, Joachim Thiery, Kiran Musunuru, Knut Krohn, Matthias Mann, Daniel Teupser

Date Published: 1st Nov 2016

Publication Type: Journal article

Circulating Adipokine VASPIN Is Associated with Serum Lipid Profiles in Humans
Genetical Statistics and Systems Biology

Abstract (Expand)

VASPIN, visceral adipose tissue-derived serpin, is an adipokine ameliorating insulin resistance in obesity. Here, we investigated the role of VASPIN and its genetic variants in lipid metabolism. We … measured serum VASPIN concentrations by ELISA in 823 metabolically well-characterized Caucasian subjects (Sorbs from Germany). Furthermore, we genotyped 30 representative single nucleotide polymorphisms (SNP) in two independent cohorts with metabolic phenotyping, the Sorbs (N = 823) and Leipzig (N = 919), and conducted genotype-phenotype association analyses. Circulating VASPIN strongly correlated with triacylglycerol levels (TAG; p = 1.079 \times 10-11 ), and moderately with apolipoprotein A1 and low-density lipoprotein cholesterol (p = 0.026). Genetic variants in VASPIN were nominally associated with cholesterol, high-density and low-density lipoprotein (HDL-chol, LDL-chol), lipoprotein A, and apolipoprotein B as well as with TAG and free fatty acids (all p \textless 0.05 adjusted for age, sex, and body mass index [BMI]). Mendelian randomization analysis using VASPIN SNP as an instrumental variable showed borderline influence of VASPIN on LDL-chol levels (p = 0.05). Associations of VASPIN and its genetic variation with metabolic traits suggest a role of VASPIN in human lipid metabolism.

Authors: Jana Breitfeld, Norman Wiele, Beate Gutsmann, Michael Stumvoll, Matthias Blüher, Markus Scholz, Peter Kovacs, Anke Tönjes

Date Published: 18th Mar 2019

Publication Type: Journal article

Circulating Nampt and RBP4 levels in patients with carotid stenosis undergoing carotid endarterectomy (CEA)
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND\backslashr\backslashnObesity is a risk factor for atherosclerotic vascular disease. Altered adipokine secretion, including increased production of nicotinamide phosphoribosyltransferase … (Nampt) and retinol binding protein 4 (RBP4) may link adipose tissue dysfunction to cardiovascular complications.\backslashr\backslashnMETHODS\backslashr\backslashnWe determined Nampt and RBP4 serum concentrations in 193 consecutive patients with carotid stenosis prior to carotid endarterectomy (CEA) in relation to recently experienced ischemic events, markers of atherosclerosis and obesity, as well as anthropometric and clinical characteristics.\backslashr\backslashnRESULTS\backslashr\backslashnNampt but not RBP4 was significantly higher in symptomatic patients who experienced an ischemic event within 6 months before surgery compared to asymptomatic patients (p=0.001). In multivariate regression analysis Nampt was the only independent predictor of symptomatic carotid stenosis. Nampt correlated with peripheral leukocyte blood count (p\textless0.0001) and with the number of macrophages/foam cells within carotid plaques (p=0.042). However, Nampt and RBP4 serum concentrations did not correlate with the maximum percentage of carotid stenosis.\backslashr\backslashnCONCLUSION\backslashr\backslashnOur data suggest circulating Nampt as an independent predictor of recently experienced ischemic events in patients with carotid stenosis despite the lack of an association between Nampt and carotid atherosclerosis severity. BACKGROUND Obesity is a risk factor for atherosclerotic vascular disease. Altered adipokine secretion, including increased production of nicotinamide phosphoribosyltransferase (Nampt) and retinol binding protein 4 (RBP4) may link adipose tissue dysfunction to cardiovascular complications. METHODS We determined Nampt and RBP4 serum concentrations in 193 consecutive patients with carotid stenosis prior to carotid endarterectomy (CEA) in relation to recently experienced ischemic events, markers of atherosclerosis and obesity, as well as anthropometric and clinical characteristics. RESULTS Nampt but not RBP4 was significantly higher in symptomatic patients who experienced an ischemic event within 6 months before surgery compared to asymptomatic patients (p=0.001). In multivariate regression analysis Nampt was the only independent predictor of symptomatic carotid stenosis. Nampt correlated with peripheral leukocyte blood count (p\textless0.0001) and with the number of macrophages/foam cells within carotid plaques (p=0.042). However, Nampt and RBP4 serum concentrations did not correlate with the maximum percentage of carotid stenosis. CONCLUSION Our data suggest circulating Nampt as an independent predictor of recently experienced ischemic events in patients with carotid stenosis despite the lack of an association between Nampt and carotid atherosclerosis severity.

Authors: Gabriela Aust, Migle Uptaite-Patapoviene, Markus Scholz, Olaf Richter, Silvio Rohm, Matthias Blüher

Date Published: 1st Jun 2011

Publication Type: Journal article

Circulating oxytocin is genetically determined and associated with obesity and impaired glucose tolerance
Genetical Statistics and Systems Biology

Abstract (Expand)

CONTEXT Despite the emerging evidence on the role of oxytocin (OXT) in metabolic diseases, there is a lack of well powered studies addressing the relationship of circulating OXT with obesity and diabetes. …. OBJECTIVES AND DESIGN Here, we measured OXT in a study cohort (n=721; 396 women, 325 men; mean age\pmSD - 47.7\pm15.2 years) with sub-phenotypes related to obesity including anthropometric traits such as body mass index (BMI; mean\pmSD - 47.7\pm15.2 kg/m2), waist-to-hip-ratio (WHR; 0.88\pm0.09), blood parameters (glucose - 5.32\pm0.50 mmol/l, insulin - 5.3\pm3.3 µU/ml, lipids) and oral glucose tolerance test (OGTT) to clarify the association with OXT. We also tested in a genome-wide association study (GWAS) whether the inter-individual variation in OXT serum levels might be explained by genetic variation. RESULTS The OXT concentration was increased in subjects with elevated BMI and positively correlated with WHR, waist circumference and triglyceride levels. The OXT concentration in subjects with BMI\textless25 kg/m2 was significantly lower (n=256; 78.6 pg/ml) than in subjects with a BMI between 25-30 kg/m2 (n=314; 98.5 pg/ml, p=6x10-6) and with BMI\textgreater30 kg/m2 (n=137; 106.4 pg/ml, p=8x10-6). OXT levels were also positively correlated with plasma glucose and insulin and were elevated in subjects with impaired glucose tolerance (p=4.6x10-3). Heritability of OXT was estimated to 12.8%. In a GWAS, two hits in linkage disequilibrium close (19kb) to the OXT reached genome-wide significant association (top-hit rs12625893, p=3.1x10-8, explained variance 3%). CONCLUSIONS Our data show that OXT is genetically affected by a variant in OXT and is associated with obesity and impaired glucose tolerance.

Authors: Mark Florian Joachim Weingarten, Markus Scholz, Tobias Wohland, Katrin Horn, Michael Stumvoll, Peter Kovacs, Anke Tönjes

Date Published: 1st Nov 2019

Publication Type: Journal article

Clinical and lifestyle related factors influencing whole blood metabolite levels -- A comparative analysis of three large cohorts
Genetical Statistics and Systems Biology

Abstract (Expand)

Objective Human blood metabolites are influenced by a number of lifestyle and environmental factors. Identification of these factors and the proper quantification of their relevance provides insights …s into human biological and metabolic disease processes, is key for standardized translation of metabolite biomarkers into clinical applications, and is a prerequisite for comparability of data between studies. However, so far only limited data exist from large and well-phenotyped human cohorts and current methods for analysis do not fully account for the characteristics of these data. The primary aim of this study was to identify, quantify and compare the impact of a comprehensive set of clinical and lifestyle related factors on metabolite levels in three large human cohorts. To achieve this goal, we improve current methodology by developing a principled analysis approach, which could be translated to other cohorts and metabolite panels. Methods 63 Metabolites (amino acids, acylcarnitines) were quantified by liquid chromatography tandem mass spectrometry in three cohorts (total N~=~16,222). Supported by a simulation study evaluating various analytical approaches, we developed an analysis pipeline including preprocessing, identification, and quantification of factors affecting metabolite levels. We comprehensively identified uni- and multivariable metabolite associations considering 29 environmental and clinical factors and performed metabolic pathway enrichment and network analyses. Results Inverse normal transformation of batch corrected and outlier removed metabolite levels accompanied by linear regression analysis proved to be the best suited method to deal with the metabolite data. Association analyses revealed numerous uni- and multivariable significant associations. 15 of the analyzed 29 factors explained {\textgreater}1{\%} of variance for at least one of the metabolites. Strongest factors are application of steroid hormones, reticulocytes, waist-to-hip ratio, sex, haematocrit, and age. Effect sizes of factors are comparable across studies. Conclusions We introduced a principled approach for the analysis of MS data allowing identification, and quantification of effects of clinical and lifestyle factors with metabolite levels. We detected a number of known and novel associations broadening our understanding of the regulation of the human metabolome. The large heterogeneity observed between cohorts could almost completely be explained by differences in the distribution of influencing factors emphasizing the necessity of a proper confounder analysis when interpreting metabolite associations.

Authors: Carl Beuchel, Susen Becker, Julia Dittrich, Holger Kirsten, Anke Toenjes, Michael Stumvoll, Markus Loeffler, Holger Thiele, Frank Beutner, Joachim Thiery, Uta Ceglarek, Markus Scholz

Date Published: 17th Aug 2019

Publication Type: Not specified

Cohort profile: The Leipzig Research Center for Civilization Diseases–Heart study (LIFE-Heart)
Genetical Statistics and Systems Biology

Abstract

Not specified

Authors: Markus Scholz, Sylvia Henger, Frank Beutner, Andrej Teren, Ronny Baber, Anja Willenberg, Uta Ceglarek, Janne Pott, Ralph Burkhardt, Joachim Thiery

Date Published: 3rd Aug 2020

Publication Type: Journal article

Combined effects of different interleukin-28B gene variants on the outcome of dual combination therapy in chronic hepatitis C virus type 1 infection
Genetical Statistics and Systems Biology

Abstract (Expand)

In patients with chronic hepatitis C virus (HCV) infection, several variants of the interleukin-28B (IL28B) gene have been shown to correlate significantly with a sustained virologic response (SVR). … Recent evidence shows that determination of one single IL28B polymorphism, rs12979860, is sufficient for predicting treatment outcome. We examined whether the combined determination of the IL28B single-nucleotide polymorphisms (SNPs), rs12979860, rs8099917, rs12980275, and rs8103142, might improve the prediction of SVR in patients with HCV. In the study cohort, 54% of 942 patients with chronic HCV type 1 infection had SVR. The IL28B SNPs, rs12979860CC and rs8099917TT, correlated significantly with SVR (68% and 62%). The SNPs, rs12980275 and rs8103142, were in strong linkage disequilibrium with rs12979860 and were not included in further analysis. In homozygous carriers of the rs12979860 responder allele C, additional genotyping of the rs8099917 SNP had no effect on response prediction, whereas in carriers of the rs12979860 nonresponder allele, the rs8099917 SNP improved the response prediction. In heterozygous carriers of the rs12979860 nonresponder T allele, SVR rates were 55% in the presence of the rs8099917TT genotype and 40% in patients carrying the rs8099917 TG or GG genotype. Analysis of an independent confirmation cohort of 377 HCV type 1-infected patients verified the significant difference in SVR rates between the combined genotypes, rs12979860CT/rs8099917TT and rs12979860CT/rs8099917TG (38% versus 21%; P = 0.018). Conclusion: Treatment outcome prediction could not be improved in homozygous carriers of the IL28B rs12979860 C responder allele by the additional determination of the rs8099917 SNP. There is evidence that a significant proportion of heterozygous carriers of the rs12979860 T nonresponder allele can profit with respect to SVR prediction by further determination of the rs8099917 SNP. (HEPATOLOGY 2012;55:1700-1710).

Authors: Janett Fischer, Stephan Böhm, Markus Scholz, Tobias Müller, Heiko Witt, Jacob George, Christoph Sarrazin, Simone Susser, Eckart Schott, Vijayaprakash Suppiah, David R. Booth, Graeme J. Stewart, Florian van Bömmel, Annika Brodzinski, Balazs Fülöp, Pascal Migaud, Thomas Berg

Date Published: 1st Jun 2012

Publication Type: Journal article

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND AND PURPOSE Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, …, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings. METHODS Participants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC. RESULTS In the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype. CONCLUSIONS Our study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

Authors: Nicola J. Armstrong, Karen A. Mather, Muralidharan Sargurupremraj, Maria J. Knol, Rainer Malik, Claudia L. Satizabal, Lisa R. Yanek, Wei Wen, Vilmundur G. Gudnason, Nicole D. Dueker, Lloyd T. Elliott, Edith Hofer, Joshua Bis, Neda Jahanshad, Shuo Li, Mark A. Logue, Michelle Luciano, Markus Scholz, Albert V. Smith, Stella Trompet, Dina Vojinovic, Rui Xia, Fidel Alfaro-Almagro, David Ames, Najaf Amin, Philippe Amouyel, Alexa S. Beiser, Henry Brodaty, Ian J. Deary, Christine Fennema-Notestine, Piyush G. Gampawar, Rebecca Gottesman, Ludovica Griffanti, Clifford R. Jack, Mark Jenkinson, Jiyang Jiang, Brian G. Kral, John B. Kwok, Leonie Lampe, David C M Liewald, Pauline Maillard, Jonathan Marchini, Mark E. Bastin, Bernard Mazoyer, Lukas Pirpamer, José Rafael Romero, Gennady V. Roshchupkin, Peter R. Schofield, Matthias L. Schroeter, David J. Stott, Anbupalam Thalamuthu, Julian Trollor, Christophe Tzourio, Jeroen van der Grond, Meike W. Vernooij, Veronica A. Witte, Margaret J. Wright, Qiong Yang, Zoe Morris, Siggi Siggurdsson, Bruce Psaty, Arno Villringer, Helena Schmidt, Asta K. Haberg, Cornelia M. van Duijn, J. Wouter Jukema, Martin Dichgans, Ralph L. Sacco, Clinton B. Wright, William S. Kremen, Lewis C. Becker, Paul M. Thompson, Thomas H. Mosley, Joanna M. Wardlaw, M. Arfan Ikram, Hieab H. H. Adams, Sudha Seshadri, Perminder S. Sachdev, Stephen M. Smith, Lenore Launer, William Longstreth, Charles DeCarli, Reinhold Schmidt, Myriam Fornage, Stephanie Debette, Paul A. Nyquist

Date Published: 1st Jul 2020

Publication Type: Journal article

Common genomic variation in the FER gene: useful to stratify patients with sepsis due to pneumonia?
LIFE - Leipzig Research Center for Civilization Diseases

Abstract

Not specified

Authors: F. Schoneweck, E. Kuhnt, M. Scholz, F. M. Brunkhorst, A. Scherag

Date Published: 30th Apr 2015

Publication Type: Not specified

Human Diseases: bacterial infectious disease, pneumonia

Common variants in glyoxalase I do not increase chronic pancreatitis risk
Genetical Statistics and Systems Biology

Abstract (Expand)

INTRODUCTION Chronic pancreatitis (CP) may be caused by oxidative stress. An important source of reactive oxygen species (ROS) is the methylglyoxal-derived formation of advanced glycation endproducts …s (AGE). Methylglyoxal is detoxified by Glyoxalase I (GLO1). A reduction in GLO1 activity results in increased ROS. Single nucleotide polymorphisms (SNPs) of GLO1 have been linked to various inflammatory diseases. Here, we analyzed whether common GLO1 variants are associated with alcoholic (ACP) and non-alcoholic CP (NACP). METHODS Using melting curve analysis, we genotyped a screening cohort of 223 ACP, 218 NACP patients, and 328 controls for 11 tagging SNPs defined by the SNPinfo LD TAG SNP Selection tool and the functionally relevant variant rs4746. For selected variants the cohorts were extended to up to 1,441 patient samples. RESULTS In the ACP cohort, comparison of genotypes for rs1937780 between patients and controls displayed an ambiguous result in the screening cohort (p = 0.08). However, in the extended cohort of 1,441 patients no statistically significant association was found for the comparison of genotypes (p = 0.11), nor in logistic regression analysis (p = 0.214, OR 1.072, 95% CI 0.961-1.196). In the NACP screening cohort SNPs rs937662, rs1699012, and rs4746 displayed an ambiguous result when patients were compared to controls in the recessive or dominant model (p = 0.08, 0.08, and 0.07, respectively). Again, these associations were not confirmed in the extended cohorts (rs937662, dominant model: p = 0.07, logistic regression: p = 0.07, OR 1.207, 95% CI 0.985-1.480) or in the replication cohorts for rs4746 (Germany, p = 0.42, OR 1.080, 95% CI 0.673-1.124; France, p = 0.19, OR 0.90, 95% CI 0.76-1.06; China, p = 0.24, OR 1.18, 95% CI 0.90-1.54) and rs1699012 (Germany, Munich; p = 0.279, OR 0.903, 95% CI 0.750-1.087). CONCLUSIONS Common GLO1 variants do not increase chronic pancreatitis risk.

Authors: Tom Kaune, Marcus Hollenbach, Bettina Keil, Jian-Min Chen, Emmanuelle Masson, Carla Becker, Marko Damm, Claudia Ruffert, Robert Grützmann, Albrecht Hoffmeister, Rene H. M. Te Morsche, Giulia Martina Cavestro, Raffaella Alessia Zuppardo, Adrian Saftoiu, Ewa Malecka-Panas, Stanislaw Głuszek, Peter Bugert, Markus M. Lerch, Frank Ulrich Weiss, Wen-Bin Zou, Zhuan Liao, Peter Hegyi, Joost Ph Drenth, Jan Riedel, Claude Férec, Markus Scholz, Holger Kirsten, Andrea Tóth, Maren Ewers, Heiko Witt, Heidi Griesmann, Patrick Michl, Jonas Rosendahl

Date Published: 29th Oct 2019

Publication Type: Journal article

Common variants in the CLDN2-MORC4 and PRSS1-PRSS2 loci confer susceptibility to acute pancreatitis
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND/OBJECTIVES Acute pancreatitis (AP) is one of the most common gastrointestinal disorders often requiring hospitalization. Frequent aetiologies are gallstones and alcohol abuse. In contrast …t to chronic pancreatitis (CP) few robust genetic associations have been described. Here we analysed whether common variants in the CLDN2-MORC4 and the PRSS1-PRSS2 locus that increase recurrent AP and CP risk associate with AP. METHODS We screened 1462 AP patients and 3999 controls with melting curve analysis for SNPs rs10273639 (PRSS1-PRSS2), rs7057398 (RIPPLY), and rs12688220 (MORC4). Calculations were performed for the overall group, aetiology, and gender sub-groups. To examine genotype-phenotype relationships we performed several meta-analyses. RESULTS Meta-analyses of all AP patients depicted significant (p-value \textless 0.05) associations for rs10273639 (odds ratio (OR) 0.88, 95% confidence interval (CI) 0.81-0.97, p-value 0.01), rs7057398 (OR 1.27, 95% CI 1.07-1.5, p-value 0.005), and rs12688220 (OR 1.32, 95% CI 1.12-1.56, p-value 0.001). For the different aetiology groups a significant association was shown for rs10273639 (OR 0.76, 95% CI 0.63-0.92, p-value 0.005), rs7057398 (OR 1.43, 95% CI 1.07-1.92, p-value 0.02), and rs12688220 (OR 1.44, 95% CI 1.07-1.93, p-value 0.02) in the alcoholic sub-group only. CONCLUSIONS The association of CP risk variants with different AP aetiologies, which is strongest in the alcoholic AP group, might implicate common pathomechanisms most likely between alcoholic AP and CP.

Authors: Frank Ulrich Weiss, Nico Hesselbarth, Andrea Párniczky, Dora Mosztbacher, Felix Lämmerhirt, Claudia Ruffert, Peter Kovacs, Sebastian Beer, Katharina Seltsam, Heidi Griesmann, Richard Böhme, Tom Kaune, Marcus Hollenbach, Hans-Ulrich Schulz, Peter Simon, Julia Mayerle, Markus M. Lerch, Giulia Martina Cavestro, Raffaella Alessia Zuppardo, Milena Di Leo, Pier Alberto Testoni, Ewa Malecka-Panas, Anita Gasirowska, Stanislaw Głuszek, Peter Bugert, Andrea Szentesi, Joachim Mössner, Heiko Witt, Patrick Michl, Peter Hégyi, Markus Scholz, Jonas Rosendahl

Date Published: 1st Jul 2018

Publication Type: Journal article

Comparing measures of association in 2x2 probability tables
Genetical Statistics and Systems Biology

Abstract

Not specified

Authors: Dirk Hasenclever, Markus Scholz

Date Published: 2013

Publication Type: Journal article

Comparing Measures of Association in 2x2 Probability Tables
Genetical Statistics and Systems Biology

Abstract

Not specified

Authors: Dirk Hasenclever, Markus Scholz

Date Published: 23rd Aug 2016

Publication Type: Journal article

Comparing performance of modern genotype imputation methods in different ethnicities
Genetical Statistics and Systems Biology

Abstract (Expand)

A variety of modern software packages are available for genotype imputation relying on advanced concepts such as pre-phasing of the target dataset or utilization of admixed reference panels. In this … study, we performed a comprehensive evaluation of the accuracy of modern imputation methods on the basis of the publicly available POPRES samples. Good quality genotypes were masked and re-imputed by different imputation frameworks: namely MaCH, IMPUTE2, MaCH-Minimac, SHAPEIT-IMPUTE2 and MaCH-Admix. Results were compared to evaluate the relative merit of pre-phasing and the usage of admixed references. We showed that the pre-phasing framework SHAPEIT-IMPUTE2 can overestimate the certainty of genotype distributions resulting in the lowest percentage of correctly imputed genotypes in our case. MaCH-Minimac performed better than SHAPEIT-IMPUTE2. Pre-phasing always reduced imputation accuracy. IMPUTE2 and MaCH-Admix, both relying on admixed-reference panels, showed comparable results. MaCH showed superior results if well-matched references were available (Nei’s GST ≤ 0.010). For small to medium datasets, frameworks using genetically closest reference panel are recommended if the genetic distance between target and reference data set is small. Our results are valid for small to medium data sets. As shown on a larger data set of population based German samples, the disadvantage of pre-phasing decreases for larger sample sizes.

Authors: Nab Raj Roshyara, Katrin Horn, Holger Kirsten, Peter Ahnert, Markus Scholz

Date Published: 1st Dec 2016

Publication Type: Journal article

Comparison and modelling of pegylated or unpegylated G-CSF schedules in CHOP-14 regimen of elderly patients with aggressive B-cell lymphoma.
GLA - German Lymphoma Alliance, Genetical Statistics and Systems Biology

Abstract (Expand)

Bi-weekly (R)-CHOP therapy is one of the standard treatmentS for elderly patients with aggressive B-cell lymphoma, but it is only feasible with supportive G-CSF treatment. In the trials of the DSHNHL, … either unpegylated G-CSF was given daily over 7 or 10 days or pegylated G-CSF was applied at day 4 of each cycle. These schedules were planned on the basis of simulations of a biomathematical pharmacokinetic/pharmacodynamic model. By analysing the observed data, we investigated whether our model predictions were correct and whether even better schedules can be proposed. We used data on 249 matched patients of two prospective trials, RICOVER-60 and PEGFILGRASTIM. The three G-CSF-schedules showed similar outcomes regarding leukocytopenia, infections and days in hospital, with pegylated G-CSF having slightly but not significantly better scores in all three endpoints. Regarding pegylated G-CSF, the best timing is predicted to be any day between days 4 and 7. With respect to unpegylated G-CSF, the starting day is less important, but it should be continued until the end of each cycle.The three G-CSF-schedules are interchangeable in (R)-CHOP-14 for elderly patients with aggressive B-cell lymphoma. Our model correctly predicts time courses of leukocytes. Further model predictions are presented, which can be tested in subsequent clinical trials.

Authors: S. Zeynalova, M. Ziepert, M. Scholz, S. Schirm, C. Zwick, M. Pfreundschuh, M. Loeffler

Date Published: 30th Jul 2013

Publication Type: Not specified

Human Diseases: B-cell lymphoma

Comparison of estimators for measures of linkage disequilibrium
Genetical Statistics and Systems Biology

Abstract (Expand)

The measurement of biallelic pair-wise association called linkage disequilibrium (LD) is an important issue in order to understand the genomic architecture. A plethora of measures of association in two … by two tables have been proposed in the literature. Beside the problem of choosing an appropriate measure, the problem of their estimation has been neglected in the literature. It needs to be emphasized that the definition of a measure and the choice of an estimator function for it are conceptually unrelated tasks. In this paper, we compare the performance of various estimators for the three popular LD measures D’, r and Y in a simulation study for small to moderate samples sizes (N\textless=500). The usual frequency-plug-in estimators can lead to unreliable or undefined estimates. Estimators based on the computationally expensive volume measures have been proposed recently as a remedy to this well-known problem. We confirm that volume estimators have better expected mean square error than the naive plug-in estimators. But they are outperformed by estimators plugging-in easy to calculate non-informative Bayesian probability estimates into the theoretical formulae for the measures. Fully Bayesian estimators with non-informative Dirichlet priors have comparable accuracy but are computationally more expensive. We recommend the use of non-informative Bayesian plug-in estimators based on Jeffreys’ prior, in particular when dealing with SNP array data where the occurrence of small table entries and table margins is likely.

Authors: Markus Scholz, Dirk Hasenclever

Date Published: 2010

Publication Type: Journal article

Comparison of scoring methods for the detection of causal genes with or without rare variants
Genetical Statistics and Systems Biology

Abstract (Expand)

Rare causal variants are believed to significantly contribute to the genetic basis of common diseases or quantitative traits. Appropriate statistical methods are required to discover the highest possible … number of disease-relevant variants in a genome-wide screening study. The publicly available Genetic Analysis Workshop 17 data set consists of 697 individuals and 24,487 genetic variants. It includes a simulated complex disease model with intermediate quantitative phenotypes. We compare four gene-wise scoring methods with respect to ranking of causal genes under variable allele frequency thresholds for collapsing of rare variants and considering whether or not rare variants were included. We also compare causal genes for which the ranks differ clearly between scoring methods regarding such characteristics as number and strength of causal variants. We corroborated our findings with additional simulations. We found that the maximum statistics method was superior in assigning high ranks to genes with a single strong causal variant. Hotelling’s T2 test was superior for genes with several independent causal variants. This was consistent for all phenotypes and was confirmed by single-gene analyses and additional simulations. The multivariate analysis performed similarly to Hotelling’s T2 test. The least absolute shrinkage and selection operator (LASSO) analysis was widely comparable with the maximum statistics method. We conclude that the maximum statistics method is a superior alternative to Hotelling’s T2 test if one expects only one independent causal variant per gene with a dominating effect. Such a variant could also be a supermarker derived by collapsing rare variants. Because the true nature of the genetic effect is unknown for real data, both methods need to be taken into consideration.

Authors: Markus Scholz, Holger Kirsten

Date Published: 1st Dec 2011

Publication Type: Journal article

Cyclin dependent kinase inhibitor 1 C is a female-specific marker of left ventricular function after acute myocardial infarction
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND A significant proportion of patients develop left ventricular (LV) remodeling leading to heart failure after acute myocardial infarction (AMI). Being able to identify these patients would …d represent a step forward towards personalized medicine. The present study aimed to determine the ability of cyclin dependent kinase inhibitor 1C (CDKN1C) to risk stratify AMI patients, in a sex-specific manner. METHODS CDKN1C expression was measured in blood samples obtained at admission in a test cohort of 447 AMI patients and a validation cohort of 294 patients. The study end-point was LV function assessed by the ejection fraction (EF) at follow-up. RESULTS In the test cohort, CDKN1C was lower in patients with a reduced EF (\textless40%) compared to patients with preserved EF (\geq50%). This observation was specific to women. CDKN1C was a significant univariate predictor of LV function in women only. In multivariable analysis including demographic and clinical parameters, CDKN1C predicted LV function in women (odds ratio [95% confidence interval] 0.44 [0.23-0.82]) but not in men (0.90 [0.70-1.16]). Addition of CDKN1C to a multivariable clinical model reduced the Akaike information criterion, attesting for an incremental predictive value, in women (p = 0.006) but not in men (p = 0.41). Bootstrap internal validation confirmed the added value of CDKN1C in women. The female-specific predictive value of CDKN1C was validated in the independent cohort. CONCLUSION CDKN1C is a novel female-specific biomarker of LV function after AMI.

Authors: Torkia Lalem, Lu Zhang, Markus Scholz, Ralph Burkhardt, Victoria Saccheti, Andrej Teren, Joachim Thiery, Yvan Devaux

Date Published: 2019

Publication Type: Journal article

Navigate

Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

re3data.org Badge
Powered by
 (v.1.13.0-master)
Health Atlas | Funding and Programmes | Credits | Terms & Conditions | Privacy Policy | Imprint
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies