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959 Publications visible to you, out of a total of 959
The LIFE-Adult-Study: objectives and design of a population-based cohort study with 10,000 deeply phenotyped adults in Germany.
LIFE Adult, Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND: The LIFE-Adult-Study is a population-based cohort study, which has recently completed the baseline examination of 10,000 randomly selected participants from Leipzig, a major city with 550,000 … inhabitants in the east of Germany. It is the first study of this kind and size in an urban population in the eastern part of Germany. The study is conducted by the Leipzig Research Centre for Civilization Diseases (LIFE). Our objective is to investigate prevalences, early onset markers, genetic predispositions, and the role of lifestyle factors of major civilization diseases, with primary focus on metabolic and vascular diseases, heart function, cognitive impairment, brain function, depression, sleep disorders and vigilance dysregulation, retinal and optic nerve degeneration, and allergies. METHODS/DESIGN: The study covers a main age range from 40-79 years with particular deep phenotyping in elderly participants above the age of 60. The baseline examination was conducted from August 2011 to November 2014. All participants underwent an extensive core assessment programme (5-6 h) including structured interviews, questionnaires, physical examinations, and biospecimen collection. Participants over 60 underwent two additional assessment programmes (3-4 h each) on two separate visits including deeper cognitive testing, brain magnetic resonance imaging, diagnostic interviews for depression, and electroencephalography. DISCUSSION: The participation rate was 33 %. The assessment programme was accepted well and completely passed by almost all participants. Biomarker analyses have already been performed in all participants. Genotype, transcriptome and metabolome analyses have been conducted in subgroups. The first follow-up examination will commence in 2016.

Authors: M. Loeffler, C. Engel, P. Ahnert, D. Alfermann, K. Arelin, R. Baber, F. Beutner, H. Binder, E. Brahler, R. Burkhardt, U. Ceglarek, C. Enzenbach, M. Fuchs, H. Glaesmer, F. Girlich, A. Hagendorff, M. Hantzsch, U. Hegerl, S. Henger, T. Hensch, A. Hinz, V. Holzendorf, D. Husser, A. Kersting, A. Kiel, T. Kirsten, J. Kratzsch, K. Krohn, T. Luck, S. Melzer, J. Netto, M. Nuchter, M. Raschpichler, F. G. Rauscher, S. G. Riedel-Heller, C. Sander, M. Scholz, P. Schonknecht, M. L. Schroeter, J. C. Simon, R. Speer, J. Staker, R. Stein, Y. Stobel-Richter, M. Stumvoll, A. Tarnok, A. Teren, D. Teupser, F. S. Then, A. Tonjes, R. Treudler, A. Villringer, A. Weissgerber, P. Wiedemann, S. Zachariae, K. Wirkner, J. Thiery

Date Published: 22nd Jul 2015

Publication Type: Not specified

Human Diseases: disease of mental health, mental depression, vascular disease, allergic hypersensitivity disease, sleep disorder, retinal degeneration

Impact of genetic similarity on imputation accuracy.
LIFE - Leipzig Research Center for Civilization Diseases, Genetical Statistics and Systems Biology

Abstract (Expand)

BACKGROUND: Genotype imputation is a common technique in genetic research. Genetic similarity between target population and reference dataset is crucial for high-quality results. Although several … reference panels are available, it is often not clear which is the most optimal for a particular target dataset to be imputed. Maximizing genetic similarity between study sample and intended reference panels may be the straight forward method for selecting the genetically best-matched reference. However, the impact of genetic similarity on imputation accuracy has not yet been studied in detail. RESULTS: We performed a simulation study in 20 ethnic groups obtained from POPRES. High-quality SNPs were masked and re-imputed with MaCH, MaCH-minimac and IMPUTE2 using four different HapMap reference panels (CEU, CHB-JPT, MEX and YRI). Imputation accuracy was assessed by different statistics. Genetic similarity between ethnic groups and reference populations were measured by F -statistics (F(ST)) originally proposed by Wright and G -statistics (G(ST)) introduced by Nei and others. To assess the predictive power of these measures regarding imputation accuracy, we analysed relations between them and corresponding imputation accuracy scores. We found that population genetic distances between homogeneous reference and target populations were strongly linearly correlated with resulting imputation accuracies irrespective of considered distance measure, imputation accuracy measure, missingness and imputation software used. Possible exception was African population. CONCLUSION: Usage of G(ST) or F(ST)-related measures for predicting the optimal reference panel for imputation frameworks relying on a specific reference is highly recommended. A cut-off of G(ST) < 0.01 is recommended to achieve good imputation results for high-frequency variants and small data sets. The linear relationship is less pronounced for low-frequency variants for which we also observed a dependence of imputation accuracy on the number of polymorphic sites in the reference. We also show that the software specific measures MaCH-Rsq and IMPUTE-info must be interpreted with caution if the genetic distance of target and reference population is high.

Authors: N. R. Roshyara, M. Scholz

Date Published: 22nd Jul 2015

Publication Type: Not specified

The PCBP1 gene encoding poly(rC) binding protein I is recurrently mutated in Burkitt lymphoma.
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

The genetic hallmark of Burkitt lymphoma is the translocation t(8;14)(q24;q32), or one of its light chain variants, resulting in IG-MYC juxtaposition. However, these translocations alone are insufficient … to drive lymphomagenesis, which requires additional genetic changes for malignant transformation. Recent studies of Burkitt lymphoma using next generation sequencing approaches have identified various recurrently mutated genes including ID3, TCF3, CCND3, and TP53. Here, by using similar approaches, we show that PCBP1 is a recurrently mutated gene in Burkitt lymphoma. By whole-genome sequencing, we identified somatic mutations in PCBP1 in 3/17 (18%) Burkitt lymphomas. We confirmed the recurrence of PCBP1 mutations by Sanger sequencing in an independent validation cohort, finding mutations in 3/28 (11%) Burkitt lymphomas and in 6/16 (38%) Burkitt lymphoma cell lines. PCBP1 is an intron-less gene encoding the 356 amino acid poly(rC) binding protein 1, which contains three K-Homology (KH) domains and two nuclear localization signals. The mutations predominantly (10/12, 83%) affect the KH III domain, either by complete domain loss or amino acid changes. Thus, these changes are predicted to alter the various functions of PCBP1, including nuclear trafficking and pre-mRNA splicing. Remarkably, all six primary Burkitt lymphomas with a PCBP1 mutation expressed MUM1/IRF4, which is otherwise detected in around 20-40% of Burkitt lymphomas. We conclude that PCBP1 mutations are recurrent in Burkitt lymphomas and might contribute, in cooperation with other mutations, to its pathogenesis.

Authors: R. Wagener, S. M. Aukema, M. Schlesner, A. Haake, B. Burkhardt, A. Claviez, H. G. Drexler, M. Hummel, M. Kreuz, M. Loeffler, M. Rosolowski, C. Lopez, P. Moller, J. Richter, M. Rohde, M. J. Betts, R. B. Russell, S. H. Bernhart, S. Hoffmann, P. Rosenstiel, M. Schilhabel, M. Szczepanowski, L. Trumper, W. Klapper, R. Siebert

Date Published: 16th Jul 2015

Publication Type: Not specified

Human Diseases: lymphoma

Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine … mapped the association signal by genotyping 428 SNPs across the region in 89,050 European and 12,893 Asian case and control subjects from the Breast Cancer Association Consortium. We identified four independent sets of correlated, highly trait-associated variants (iCHAVs), three of which were located within ZNF365. The most strongly risk-associated SNP, rs10995201 in iCHAV1, showed clear evidence of association with both estrogen receptor (ER)-positive (OR = 0.85 [0.82-0.88]) and ER-negative (OR = 0.87 [0.82-0.91]) disease, and was also the SNP most strongly associated with percent mammographic density. iCHAV2 (lead SNP, chr10: 64,258,684:D) and iCHAV3 (lead SNP, rs7922449) were also associated with ER-positive (OR = 0.93 [0.91-0.95] and OR = 1.06 [1.03-1.09]) and ER-negative (OR = 0.95 [0.91-0.98] and OR = 1.08 [1.04-1.13]) disease. There was weaker evidence for iCHAV4, located 5’ of ADO, associated only with ER-positive breast cancer (OR = 0.93 [0.90-0.96]). We found 12, 17, 18, and 2 candidate causal SNPs for breast cancer in iCHAVs 1-4, respectively. Chromosome conformation capture analysis showed that iCHAV2 interacts with the ZNF365 and NRBF2 (more than 600 kb away) promoters in normal and cancerous breast epithelial cells. Luciferase assays did not identify SNPs that affect transactivation of ZNF365, but identified a protective haplotype in iCHAV2, associated with silencing of the NRBF2 promoter, implicating this gene in the etiology of breast cancer.

Authors: Hatef Darabi, Karen McCue, Jonathan Beesley, Kyriaki Michailidou, Silje Nord, Siddhartha Kar, Keith Humphreys, Deborah Thompson, Maya Ghoussaini, Manjeet K. Bolla, Joe Dennis, Qin Wang, Sander Canisius, Christopher G. Scott, Carmel Apicella, John L. Hopper, Melissa C. Southey, Jennifer Stone, Annegien Broeks, Marjanka K. Schmidt, Rodney J. Scott, Artitaya Lophatananon, Kenneth Muir, Matthias W. Beckmann, Arif B. Ekici, Peter A. Fasching, Katharina Heusinger, Isabel Dos-Santos-Silva, Julian Peto, Ian Tomlinson, Elinor J. Sawyer, Barbara Burwinkel, Frederik Marme, Pascal Guénel, Thérèse Truong, Stig E. Bojesen, Henrik Flyger, Javier Benitez, Anna González-Neira, Hoda Anton-Culver, Susan L. Neuhausen, Volker Arndt, Hermann Brenner, Christoph Engel, Alfons Meindl, Rita K. Schmutzler, Norbert Arnold, Hiltrud Brauch, Ute Hamann, Jenny Chang-Claude, Sofia Khan, Heli Nevanlinna, Hidemi Ito, Keitaro Matsuo, Natalia V. Bogdanova, Thilo Dörk, Annika Lindblom, Sara Margolin, Veli-Matti Kosma, Arto Mannermaa, Chiu-Chen Tseng, Anna H. Wu, Giuseppe Floris, Diether Lambrechts, Anja Rudolph, Paolo Peterlongo, Paolo Radice, Fergus J. Couch, Celine Vachon, Graham G. Giles, Catriona McLean, Roger L. Milne, Pierre-Antoine Dugué, Christopher A. Haiman, Gertraud Maskarinec, Christy Woolcott, Brian E. Henderson, Mark S. Goldberg, Jacques Simard, Soo H. Teo, Shivaani Mariapun, Åslaug Helland, Vilde Haakensen, Wei Zheng, Alicia Beeghly-Fadiel, Rulla Tamimi, Arja Jukkola-Vuorinen, Robert Winqvist, Irene L. Andrulis, Julia A. Knight, Peter Devilee, Robert A. E. M. Tollenaar, Jonine Figueroa, Montserrat García-Closas, Kamila Czene, Maartje J. Hooning, Madeleine Tilanus-Linthorst, Jingmei Li, Yu-Tang Gao, Xiao-Ou Shu, Angela Cox, Simon S. Cross, Robert Luben, Kay-Tee Khaw, Ji-Yeob Choi, Daehee Kang, Mikael Hartman, Wei Yen Lim, Maria Kabisch, Diana Torres, Anna Jakubowska, Jan Lubinski, James McKay, Suleeporn Sangrajrang, Amanda E. Toland, Drakoulis Yannoukakos, Chen-Yang Shen, Jyh-Cherng Yu, Argyrios Ziogas, Minouk J. Schoemaker, Anthony Swerdlow, Anne-Lise Borresen-Dale, Vessela Kristensen, Juliet D. French, Stacey L. Edwards, Alison M. Dunning, Douglas F. Easton, Per Hall, Georgia Chenevix-Trench

Date Published: 1st Jul 2015

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Nanoparticle uptake by macrophages in vulnerable plaques for atherosclerosis diagnosis.
LIFE Adult

Abstract (Expand)

The composition of atherosclerotic (AS) plaques is crucial concerning rupture, thrombosis and clinical events. Two plaque types are distinguished: stable and vulnerable plaques. Vulnerable plaques are … rich in inflammatory cells, mostly only M1 macrophages, and are highly susceptible to rupture. These plaques represent a high risk particularly with the standard invasive diagnosis by coronary angiography. So far there are no non-invasive low-risk clinical approaches available to detect and distinguish AS plaque types in vivo. The perspective review introduces a whole work-flow for a novel approach for non-invasive detection and classification of AS plaques using the diffusion reflection method with gold nanoparticle loaded macrophages in combination with flow and image cytometric analysis for quality assurance. Classical biophotonic methods for AS diagnosis are summarized. Phenotyping of monocytes and macrophages are discussed for specific subset labelling by nanomaterials, as well as existing studies and first experimental proofs of concept for the novel approach are shown. In vitro and in vivo detection of NP loaded macrophages (MPhi). Different ways of MPhi labelling include (1) in vitro labelling in suspension (whole blood or buffy coat) or (2) labelling of short-term MPhi cultures with re-injection of MPhi-NP into the animal to detect migration of the cells in the plaques and (3) in vivo injection of NP into the organism.

Authors: S. Melzer, R. Ankri, D. Fixler, A. Tarnok

Date Published: 26th Jun 2015

Publication Type: Not specified

Human Diseases: atherosclerosis

Adipose triglyceride lipase acts on neutrophil lipid droplets to regulate substrate availability for lipid mediator synthesis.
LIFE - Leipzig Research Center for Civilization Diseases

Abstract (Expand)

In humans, mutations in ATGL lead to TG accumulation in LDs of most tissues and cells, including peripheral blood leukocytes. This pathologic condition is called Jordans' anomaly, in which functional … consequences have not been investigated. In the present study, we tested the hypothesis that ATGL plays a role in leukocyte LD metabolism and immune cell function. Similar to humans with loss-of-function mutations in ATGL, we found that global and myeloid-specific Atgl(-/-) mice exhibit Jordans' anomaly with increased abundance of intracellular TG-rich LDs in neutrophil granulocytes. In a model of inflammatory peritonitis, lipid accumulation was also observed in monocytes and macrophages but not in eosinophils or lymphocytes. Neutrophils from Atgl(-/-) mice showed enhanced immune responses in vitro, which were more prominent in cells from global compared with myeloid-specific Atgl(-/-) mice. Mechanistically, ATGL(-/-) as well as pharmacological inhibition of ATGL led to an impaired release of lipid mediators from neutrophils. These findings demonstrate that the release of lipid mediators is dependent on the liberation of precursor molecules from the TG-rich pool of LDs by ATGL. Our data provide mechanistic insights into Jordans' anomaly in neutrophils and suggest that ATGL is a potent regulator of immune cell function and inflammatory diseases.

Authors: S. Schlager, M. Goeritzer, K. Jandl, R. Frei, N. Vujic, D. Kolb, H. Strohmaier, J. Dorow, T. O. Eichmann, A. Rosenberger, A. Wolfler, A. Lass, E. E. Kershaw, U. Ceglarek, A. Dichlberger, A. Heinemann, D. Kratky

Date Published: 26th Jun 2015

Publication Type: Not specified

Genetic dyslexia risk variant is related to neural connectivity patterns underlying phonological awareness in children.
LIFE - Leipzig Research Center for Civilization Diseases, Genetical Statistics and Systems Biology

Abstract (Expand)

Phonological awareness is the best-validated predictor of reading and spelling skill and therefore highly relevant for developmental dyslexia. Prior imaging genetics studies link several dyslexia risk … genes to either brain-functional or brain-structural factors of phonological deficits. However, coherent evidence for genetic associations with both functional and structural neural phenotypes underlying variation in phonological awareness has not yet been provided. Here we demonstrate that rs11100040, a reported modifier of SLC2A3, is related to the functional connectivity of left fronto-temporal phonological processing areas at resting state in a sample of 9- to 12-year-old children. Furthermore, we provide evidence that rs11100040 is related to the fractional anisotropy of the arcuate fasciculus, which forms the structural connection between these areas. This structural connectivity phenotype is associated with phonological awareness, which is in turn associated with the individual retrospective risk scores in an early dyslexia screening as well as to spelling. These results suggest a link between a dyslexia risk genotype and a functional as well as a structural neural phenotype, which is associated with a phonological awareness phenotype. The present study goes beyond previous work by integrating genetic, brain-functional and brain-structural aspects of phonological awareness within a single approach. These combined findings might be another step towards a multimodal biomarker for developmental dyslexia.

Authors: M. A. Skeide, H. Kirsten, I. Kraft, G. Schaadt, B. Muller, N. Neef, J. Brauer, A. Wilcke, F. Emmrich, J. Boltze, A. D. Friederici

Date Published: 17th Jun 2015

Publication Type: Not specified

Human Diseases: dyslexia

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