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1004 Publications visible to you, out of a total of 1004
Subsequent Event Risk in Individuals with Established Coronary Heart Disease: Design and Rationale of the GENIUS-CHD Consortium
Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND The \textquotedblGENetIcs of sUbSequent Coronary Heart Disease\textquotedbl (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants and biomarkers …s for risk of subsequent CHD events, in individuals with established CHD. METHODS The consortium currently includes 57 studies from 18 countries, recruiting 185,614 participants with either acute coronary syndrome, stable CHD or a mixture of both at baseline. All studies collected biological samples and followed-up study participants prospectively for subsequent events. RESULTS Enrollment into the individual studies took place between 1985 to present day with duration of follow up ranging from 9 months to 15 years. Within each study, participants with CHD are predominantly of self-reported European descent (38%-100%), mostly male (44%-91%) with mean ages at recruitment ranging from 40 to 75 years. Initial feasibility analyses, using a federated analysis approach, yielded expected associations between age (HR 1.15 95% CI 1.14-1.16) per 5-year increase, male sex (HR 1.17, 95% CI 1.13-1.21) and smoking (HR 1.43, 95% CI 1.35-1.51) with risk of subsequent CHD death or myocardial infarction, and differing associations with other individual and composite cardiovascular endpoints. CONCLUSIONS GENIUS-CHD is a global collaboration seeking to elucidate genetic and non-genetic determinants of subsequent event risk in individuals with established CHD, in order to improve residual risk prediction and identify novel drug targets for secondary prevention. Initial analyses demonstrate the feasibility and reliability of a federated analysis approach. The consortium now plans to initiate and test novel hypotheses as well as supporting replication and validation analyses for other investigators.

Authors: Riyaz Patel, Vinicius Tragante, Amand F. Schmidt, Raymond O. McCubrey, Michael V. Holmes, Laurence J. Howe, Kenan Direk, Axel Åkerblom, Karin Leander, Salim S. Virani, Karol A. Kaminski, Jochen D. Muehlschlegel, Hooman Allayee, Peter Almgren, Maris Alver, Ekaterina V. Baranova, Hassan Behlouli, Bram Boeckx, Peter S. Braund, Lutz P. Breitling, Graciela Delgado, Nubia E. Duarte, Marie-Pierre Dubé, Line Dufresne, Niclas Eriksson, Luisa Foco, Markus Scholz, Crystel M. Gijsberts, Charlotte Glinge, Yan Gong, Jaana Hartiala, Mahyar Heydarpour, Jaroslav A. Hubacek, Marcus Kleber, Daniel Kofink, Salma Kotti, Pekka Kuukasjärvi, Vei-Vei Lee, Andreas Leiherer, Petra A. Lenzini, Daniel Levin, Leo-Pekka Lyytikäinen, Nicola Martinelli, Ute Mons, Christopher P. Nelson, Kjell Nikus, Anna P. Pilbrow, Rafal Ploski, Yan V. Sun, Michael W. T. Tanck, W. H. Wilson Tang, Stella Trompet, Sander W. van der Laan, Jessica van Setten, Ragnar O. Vilmundarson, Chiara Viviani Anselmi, Efthymia Vlachopoulou, Lawien Al Ali, Eric Boerwinkle, Carlo Briguori, John F. Carlquist, Kathryn F. Carruthers, Gavino Casu, John Deanfield, Panos Deloukas, Frank Dudbridge, Thomas Engström, Natalie Fitzpatrick, Kim Fox, Bruna Gigante, Stefan James, Marja-Liisa Lokki, Paulo A. Lotufo, Nicola Marziliano, Ify R. Mordi, Joseph B. Muhlestein, Christopher Newton-Cheh, Jan Pitha, Christoph H. Saely, Ayman Samman-Tahhan, Pratik B. Sandesara, Andrej Teren, Adam Timmis, Frans van de Werf, Els Wauters, Arthur A. M. Wilde, Ian Ford, David J. Stott, Ale Algra, Maria G. Andreassi, Diego Ardissino, Benoit J. Arsenault, Christie M. Ballantyne, Thomas O. Bergmeijer, Connie R. Bezzina, Simon C. Body, Eric H. Boersma, Peter Bogaty, Michiel Bots, Hermann Brenner, Jasper J. Brugts, Ralph Burkhardt, Clara Carpeggiani, Gianluigi Condorelli, Rhonda M. Cooper-DeHoff, Sharon Cresci, Nicolas Danchin, Ulf de Faire, Robert N. Doughty, Heinz Drexel, James C. Engert, Keith A. A. Fox, Domenico Girelli, Diederick E. Grobbee, Emil Hagström, Stanley L. Hazen, Claes Held, Harry Hemingway, Imo E. Hoefer, G. Kees Hovingh, Reza Jabbari, Julie A. Johnson, J. Wouter Jukema, Marcin P. Kaczor, Mika Kähönen, Jiri Kettner, Marek Kiliszek, Olaf H. Klungel, Bo Lagerqvist, Diether Lambrechts, Jari O. Laurikka, Terho Lehtimäki, Daniel Lindholm, B. K. Mahmoodi, Anke H. Maitland-van der Zee, Ruth McPherson, Olle Melander, Andres Metspalu, Anna Niemcunowicz-Janica, Oliviero Olivieri, Grzegorz Opolski, Colin N. Palmer, Gerard Pasterkamp, Carl J. Pepine, Alexandre C. Pereira, Louise Pilote, Arshed A. Quyyumi, A. Mark Richards, Marek Sanak, Agneta Siegbahn, Tabassome Simon, Juha Sinisalo, J. Gustav Smith, John A. Spertus, Steen Stender, Alexandre F. R. Stewart, Wojciech Szczeklik, Anna Szpakowicz, Jean-Claude Tardif, Jurriën M. ten Berg, Jacob Tfelt-Hansen, George Thanassoulis, Joachim Thiery, Christian Torp-Pedersen, Yolanda van der Graaf, Frank L. J. Visseren, Johannes Waltenberger, Peter E. Weeke, Pim van der Harst, Chim C. Lang, Naveed Sattar, Vicky A. Cameron, Jeffrey L. Anderson, James M. Brophy, Guillaume Paré, Benjamin D. Horne, Winfried März, Lars Wallentin, Nilesh J. Samani, Aroon D. Hingorani, Folkert W. Asselbergs

Date Published: 1st Apr 2019

Publication Type: Journal article

Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma.
MMML - Molecular mechanisms in malignant lymphoma

Abstract (Expand)

Burkitt lymphoma (BL) is the most common B-cell lymphoma in children. Within the International Cancer Genome Consortium (ICGC), we performed whole genome and transcriptome sequencing of 39 sporadic BL. … Here, we unravel interaction of structural, mutational, and transcriptional changes, which contribute to MYC oncogene dysregulation together with the pathognomonic IG-MYC translocation. Moreover, by mapping IGH translocation breakpoints, we provide evidence that the precursor of at least a subset of BL is a B-cell poised to express IGHA. We describe the landscape of mutations, structural variants, and mutational processes, and identified a series of driver genes in the pathogenesis of BL, which can be targeted by various mechanisms, including IG-non MYC translocations, germline and somatic mutations, fusion transcripts, and alternative splicing.

Authors: C. Lopez, K. Kleinheinz, S. M. Aukema, M. Rohde, S. H. Bernhart, D. Hubschmann, R. Wagener, U. H. Toprak, F. Raimondi, M. Kreuz, S. M. Waszak, Z. Huang, L. Sieverling, N. Paramasivam, J. Seufert, S. Sungalee, R. B. Russell, J. Bausinger, H. Kretzmer, O. Ammerpohl, A. K. Bergmann, H. Binder, A. Borkhardt, B. Brors, A. Claviez, G. Doose, L. Feuerbach, A. Haake, M. L. Hansmann, J. Hoell, M. Hummel, J. O. Korbel, C. Lawerenz, D. Lenze, B. Radlwimmer, J. Richter, P. Rosenstiel, A. Rosenwald, M. B. Schilhabel, H. Stein, S. Stilgenbauer, P. F. Stadler, M. Szczepanowski, M. A. Weniger, M. Zapatka, R. Eils, P. Lichter, M. Loeffler, P. Moller, L. Trumper, W. Klapper, S. Hoffmann, R. Kuppers, B. Burkhardt, M. Schlesner, R. Siebert

Date Published: 29th Mar 2019

Publication Type: Not specified

Human Diseases: lymphoma, Burkitt lymphoma

The PI3K and MAPK/p38 pathways control stress granule assembly in a hierarchical manner
SMITH - Smart Medical Information Technology for Healthcare

Abstract

Not specified

Authors: Alexander Martin Heberle, Patricia Razquin Navas, Miriam Langelaar-Makkinje, Katharina Kasack, Ahmed Sadik, Erik Faessler, Udo Hahn, Philip Marx-Stoelting, Christiane A Opitz, Christine Sers, Ines Heiland, Sascha Schäuble, Kathrin Thedieck

Date Published: 28th Mar 2019

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

An integrative web platform for user-friendly application of risk prediction models in hereditary cancer predisposition
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Background and Objective: Predicting individual mutation and cancer risks is essential to assist genetic counsellors in clinical decision making for patients with a hereditary cancer predisposition. … Worldwide a variety of statistical models and empirical data for risk prediction have been developed and published for hereditary breast and ovarian cancer (HBOC), and hereditary non-polyposis colorectal cancer (HNPCC / Lynch syndrome, LS). However, only few models have so far been implemented in convenient and easy-to-use computer applications. We therefore aimed to develop user-friendly applications of selected HBOC and LS risk prediction models, and to make them available through the "Leipzig Health Atlas" (LHA), a web-based multifunctional platform to share research data, novel ontologies, models and software tools with the medical and scientific community. LHA is a project funded within the BMBF initiative "i:DSem – Integrative data semantics in system medicine". Methods and Results: We selected a total of six statistical models and empirical datasets relevant for HBOC and LS: 1) the Manchester Scoring System, 2) the "Mutation Frequency Explorer" of the German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC), 3) an extended version of the Claus model, 4) MMRpredict, 5) PREMM1,2,6, and 6) PREMM5. The Manchester Scoring System allows calculation of BRCA1/2 mutation probabilities based on aggregated family history. The "Mutation Frequency Explorer" allows flexible assessment of mutation risks in BRCA1/2 and other genes for different sets of familial cancer histories based on a large dataset from the GC-HBOC. The extended Claus model (as implemented in the commercial predigree drawing software Cyrillic 2.1.3, which is no longer supported and no longer works on newer operating systems) predicts both mutation and breast cancer risks based on structured pedigree data. MMRpredict, PREMM 1,2,6, and PREMM 5 predict mutation risks in mismatch repair genes for patients from families suspected of having LS. All models were implemented using the statistical software "R" and the R-package "Shiny". "Shiny" allows the development of interactive applications by incorporating "R" with HTML and other web technologies. The Shiny apps are accessible on the website of the "Leipzig Health Atlas" (https://www.health-atlas.de) for registered researchers and genetic counselors. Conclusions: The risk prediction apps allow convenient calculation of mutation or cancer risks for an advice-seeking individual based on pedigree data or aggregated information on the familial cancer history. Target users should be specialized health professionals (physicians and genetic counselors) and scientists to ensure correct handling of the tools and careful interpretation of results.

Authors: Silke Zachariae, Sebastian Stäubert, C. Fischer, Markus Löffler, Christoph Engel

Date Published: 8th Mar 2019

Publication Type: InProceedings

Human Diseases: hereditary breast ovarian cancer syndrome, Lynch syndrome, colorectal cancer

Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy.
Genetical Statistics and Systems Biology, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles

Abstract (Expand)

BACKGROUND: Thrombocytopenia is a major side-effect of cytotoxic cancer therapies. The aim of precision medicine is to develop therapy modifications accounting for the individual's risk. … METHODOLOGY/PRINCIPLE FINDINGS: To solve this task, we develop an individualized bio-mechanistic model of the dynamics of bone marrow thrombopoiesis, circulating platelets and therapy effects thereon. Comprehensive biological knowledge regarding cell differentiation, amplification, apoptosis rates, transition times and corresponding regulations are translated into ordinary differential equations. A model of osteoblast/osteoclast interactions was incorporated to mechanistically describe bone marrow support of quiescent cell stages. Thrombopoietin (TPO) as a major regulator is explicitly modelled including pharmacokinetics and-dynamics of TPO injections. Effects of cytotoxic drugs are modelled by transient depletions of proliferating cells. To calibrate the model, we used population data from the literature and close-meshed individual data of N = 135 high-grade non-Hodgkin's lymphoma patients treated with CHOP-like chemotherapies. To limit the number of free parameters, several parsimony assumptions were derived from biological data and tested via Likelihood methods. Heterogeneity of patients was explained by a few model parameters. The over-fitting issue of individual parameter estimation was successfully dealt with a virtual participation of each patient in population-based experiments. The model qualitatively and quantitatively explains a number of biological observations such as the role of osteoblasts in explaining long-term toxic effects, megakaryocyte-mediated feedback on stem cells, bi-phasic stimulation of thrombopoiesis by TPO, dynamics of megakaryocyte ploidies and non-exponential platelet degradation. Almost all individual time series could be described with high precision. We demonstrated how the model can be used to provide predictions regarding individual therapy adaptations. CONCLUSIONS: We propose a mechanistic thrombopoiesis model of unprecedented comprehensiveness in both, biological mechanisms considered and experimental data sets explained. Our innovative method of parameter estimation allows robust determinations of individual parameter settings facilitating the development of individual treatment adaptations during chemotherapy.

Authors: Y. Kheifetz, M. Scholz

Date Published: 7th Mar 2019

Publication Type: Not specified

Human Diseases: blood platelet disease

Prevalence of moderately increased albuminuria among individuals with normal HbA1c level but impaired glucose tolerance: Results from the LIFE-Adult-Study.
LIFE Adult

Abstract (Expand)

Aims: Diabetes screening strategies using glycated haemoglobin (HbA1c) as first-instance diagnostic parameter may cause failure to detect individuals with abnormal glucose regulation and possible signs … of microvascular complications despite "rule-out" HbA1c levels. This cross-sectional study examined the diagnostic performance of HbA1c in relation to fasting and two-hour postload plasma glucose (FPG/2 h-PG), and investigated whether individuals with normal HbA1c but abnormal FPG/2 h-PG have a higher prevalence of moderately increased albuminuria as possible sign of early stage kidney damage. Methods: A total of 2695 individuals (age 40-79 years, 48% men) without prior diagnosis of diabetes and complete measurement of HbA1c, FPG, 2 h-PG and urine albumin-creatinine ratio (UACR) were taken from a large population-based epidemiological study in the City of Leipzig, Germany. Results: A total of 2439 individuals (90.5%, 95% CI: 89.4-91.6) had normal HbA1c levels, <39 mmol/mol (<5.7%), while 234 (8.7%, 95% CI: 7.7-9.8) had prediabetes, HbA1c >/=39 and <48 mmol/mol (>/=5.7 and <6.5%), and 22 (0.8%, 95% CI: 0.5-1.2) had diabetes, HbA1c >/=48 mmol/mol (>/=6.5%), according to HbA1c. Among individuals with normal HbA1c, 35.6% (95% CI: 33.7-37.5) had impaired fasting glucose or impaired glucose tolerance and 1.8% (95% CI: 1.4-2.4) had diabetes according to FPG/2 h-PG. Individuals with normal HbA1c but prediabetic or diabetic FPG/2 h-PG had a significantly higher prevalence of moderately increased albuminuria (9.4%, 95% CI: 7.6-11.5 and 13.3%, 95% CI: 5.8-25.4, respectively) than individuals with normal HbA1c and normal FPG/2 h-PG (3.9%, 95% CI: 3.0-5.0). Conclusions: The prevalence of prediabetes according to FPG/2 h-PG among individuals with normal HbA1c is considerably high, and the prevalence of moderately increased albuminuria in this group is significantly elevated. Risk factors for diabetes such as age, gender and BMI may help to better identify this at-risk group.

Authors: M. Zivkovic, A. Tonjes, R. Baber, K. Wirkner, M. Loeffler, C. Engel

Date Published: 1st Mar 2019

Publication Type: Not specified

Human Diseases: glucose metabolism disease

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