Publications

265 Publications visible to you, out of a total of 265

Abstract (Expand)

LIFE is an epidemiological study determining thousands of Leipzig inhabitants with a wide spectrum of interviews, questionnaires, and medical investigations. The heterogeneous data are centrally integrated into a research database and are analyzed by specific analysis projects. To semantically describe the large set of data, we have developed an ontological framework. Applicants of analysis projects and other interested people can use the LIFE Investigation Ontology (LIO) as central part of the framework to get insights, which kind of data is collected in LIFE. Moreover, we use the framework to generate queries over the collected scientific data in order to retrieve data as requested by each analysis project. A query generator transforms the ontological specifications using LIO to database queries which are implemented as project-specific database views. Since the requested data is typically complex, a manual query specification would be very timeconsuming, error-prone, and is, therefore, unsuitable in this large project. We present the approach, overview LIO and show query formulation and transformation. Our approach runs in production mode for two years in LIFE.

Authors: Toralf Kirsten, A. Uciteli

Date Published: 2015

Publication Type: Not specified

Abstract (Expand)

Type 2 diabetes mellitus (T2DM) is a risk factor of dementia. The effect of T2DM treatment quality on dementia risk, however, is unclear. 1,342 elderly individuals recruited via general practitioner registries (AgeCoDe cohort) were analyzed. This study analyzed the association between HbA1c level and the incidence of all-cause dementia (ACD) and of Alzheimer's disease dementia (referred to here as AD). HbA1c levels >/=6.5% were associated with 2.8-fold increased risk of incident ACD (p = 0.027) and for AD (p = 0.047). HbA1c levels >/=7% were associated with a five-fold increased risk of incident ACD (p = 0.001) and 4.7-fold increased risk of incident AD (p = 0.004). The T2DM diagnosis per se did not increase the risk of either ACD or AD. Higher levels of HbA1c are associated with increased risk of ACD and AD in an elderly population. T2DM diagnosis was not associated with increased risk if HbA1c levels were below 7%.

Authors: A. Ramirez, S. Wolfsgruber, C. Lange, H. Kaduszkiewicz, S. Weyerer, J. Werle, M. Pentzek, A. Fuchs, S. G. Riedel-Heller, T. Luck, E. Mosch, H. Bickel, B. Wiese, J. Prokein, H. H. Konig, C. Brettschneider, M. M. Breteler, W. Maier, F. Jessen, M. Scherer

Date Published: 20th Dec 2014

Publication Type: Not specified

Human Diseases: diabetes mellitus, dementia, Alzheimer's disease

Abstract (Expand)

Life Child is an epidemiological study running at the LIFE Research Center for Civilization Diseas-es (University of Leipzig) since 2011. It aims at monitoring the development in children and adolescents by examining thousands of children in and around Leipzig. Of particular interest in this study are motor skills and physical activities of children between 6 and 18 years. There are multiple examinations including interviews, self-completed questionnaires and physical examinations (e.g., sport tests) to generate data describing the determined child as well her lifestyle and environment. The goal is to find causes for low to non physical activity and unincisive motor skills and capabilities since they are commonly attended with diseases, such as obesity and diabetes. As a first step in this direction, we analyzed data of specific sport tests, such as pushups, side steps and long jumps, according to the body mass index (BMI) of participants. We found that participants with high BMI achieve a similar number of pushups in early years like the normal BMI group, while in later years the pushup number of participants with normal BMI exceeds the pushup number of high BMI group. Surprisingly, the number of side steps is indifferent over age categories (6-18, yearly) between both groups. Conversely, the normal BMI group achieve higher distances through-out all age categories than the high BMI group. In future, we will associate these results with socio-economic and lifestyle indicators, e.g., interest in sport and physical activities of child and parents.

Authors: J. Lang, C. Warnatsch, M. Vogel, Toralf Kirsten, W. Kiess

Date Published: 17th Dec 2014

Publication Type: Not specified

Abstract (Expand)

Soziodemographische Merkmale gelten in den Humanwissenschaften als globale Einflussfaktoren in fast allen Forschungsgebieten und bilden das Basiselement von Kohortenstudien. Darüber hinaus wurde in vielen Bereichen ein direkter Zusammenhang zwischen sozialen Faktoren und Gesundheit nachgewiesen. Insbesondere im Kindes- und Jugendalter nimmt der sozioökonomische Status einer Familie entscheidenden Einfluss auf die physische sowie mentale Entwicklung. Derartige und weitere Forschungsfragen stehen im Blickpunkt des Projektes LIFE Child.

Authors: L. Meißner, C. Bucher, M. Vogel, Toralf Kirsten, S. Nerlich, U. Igel, W. Kiess, A. Hiemisch

Date Published: 17th Dec 2014

Publication Type: Not specified

Abstract (Expand)

Obesity is known to affect the brain's gray matter (GM) and white matter (WM) structure but the interrelationship of such changes remains unclear. Here we used T1-weighted magnetic resonance imaging (MRI) in combination with voxel-based morphometry (VBM) and diffusion-tensor imaging (DTI) with tract-based spatial statistics (TBSS) to assess the relationship between obesity-associated alterations of gray matter density (GMD) and anisotropic water diffusion in WM, respectively. In a small cohort of lean to obese women, we confirmed previous reports of obesity-associated alterations of GMD in brain regions involved in executive control (i.e., dorsolateral prefrontal cortex, DLPFC) and habit learning (i.e., dorsal striatum). Gray matter density alterations of the DLPFC were negatively correlated with radial diffusivity in the entire corpus callosum. Within the genu of the corpus callosum we found a positive correlation with axial diffusivity. In posterior region and inferior areas of the body of the corpus callosum, axial diffusivity correlated negatively with altered GMD in the dorsal striatum. These findings suggest that, in women, obesity-related alterations of GMD in brain regions involved in executive control and habit learning might relate to alterations of associated WM fiber bundles within the corpus callosum.

Authors: K. Mueller, A. Horstmann, H. E. Moller, A. Anwander, J. Lepsien, M. L. Schroeter, A. Villringer, B. Pleger

Date Published: 11th Dec 2014

Publication Type: Not specified

Human Diseases: obesity

Abstract (Expand)

Herpes simplex encephalitis (HSE) is a severe neurological disease that often leads to persistent cognitive deficits in survivors. Memory and naming impairments have been reported most, although direct association between memory and naming performance and disease-related atrophy has not yet been demonstrated in vivo for a larger sample of patients. In the present work, a voxel-based morphometry (VBM) analysis was conducted on 3T magnetic resonance imaging (MRI) of 13 HSE survivors. The gray matter density values were correlated with scores indicating verbal memory decline, as well as errors/omissions in picture naming; both were obtained through neuropsychological assessment. Analysis of individual lesion patterns revealed a considerable inter-individual variability, mainly with atrophy in the basal forebrain, adjacent frontal cortex, medial and lateral temporal cortex, insula and thalamus. The neuropsychological data analysis revealed correlation between verbal memory decline and atrophy especially in the left hippocampal region, whereas naming problems were associated with gray matter loss especially in the lateral temporal lobe, the thalamus and the left insula. These results confirm, for the first time, the assumptions of earlier studies about the considerable variability of individual lesion patterns in HSE in a whole-brain approach in vivo, and thus the anatomical validity of VBM.

Authors: S. Frisch, F. Thiel, A. Marschhauser, A. Villringer, A. Horstmann, M. L. Schroeter

Date Published: 10th Dec 2014

Publication Type: Not specified

Human Diseases: viral encephalitis

Abstract (Expand)

INTRODUCTION The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathologicall features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. METHODS Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. RESULTS ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). CONCLUSIONS These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.

Authors: Amanda B. Spurdle, Fergus J. Couch, Michael T. Parsons, Lesley McGuffog, Daniel Barrowdale, Manjeet K. Bolla, Qin Wang, Sue Healey, Rita Schmutzler, Barbara Wappenschmidt, Kerstin Rhiem, Eric Hahnen, Christoph Engel, Alfons Meindl, Nina Ditsch, Norbert Arnold, Hansjoerg Plendl, Dieter Niederacher, Christian Sutter, Shan Wang-Gohrke, Doris Steinemann, Sabine Preisler-Adams, Karin Kast, Raymonda Varon-Mateeva, Steve Ellis, Debra Frost, Radka Platte, Jo Perkins, D. Gareth Evans, Louise Izatt, Ros Eeles, Julian Adlard, Rosemarie Davidson, Trevor Cole, Giulietta Scuvera, Siranoush Manoukian, Bernardo Bonanni, Frederique Mariette, Stefano Fortuzzi, Alessandra Viel, Barbara Pasini, Laura Papi, Liliana Varesco, Rosemary Balleine, Katherine L. Nathanson, Susan M. Domchek, Kenneth Offitt, Anna Jakubowska, Noralane Lindor, Mads Thomassen, Uffe Birk Jensen, Johanna Rantala, Åke Borg, Irene L. Andrulis, Alexander Miron, Thomas v. O. Hansen, Trinidad Caldes, Susan L. Neuhausen, Amanda E. Toland, Heli Nevanlinna, Marco Montagna, Judy Garber, Andrew K. Godwin, Ana Osorio, Rachel E. Factor, Mary B. Terry, Timothy R. Rebbeck, Beth Y. Karlan, Melissa Southey, Muhammad Usman Rashid, Nadine Tung, Paul D. P. Pharoah, Fiona M. Blows, Alison M. Dunning, Elena Provenzano, Per Hall, Kamila Czene, Marjanka K. Schmidt, Annegien Broeks, Sten Cornelissen, Senno Verhoef, Peter A. Fasching, Matthias W. Beckmann, Arif B. Ekici, Dennis J. Slamon, Stig E. Bojesen, Børge G. Nordestgaard, Sune F. Nielsen, Henrik Flyger, Jenny Chang-Claude, Dieter Flesch-Janys, Anja Rudolph, Petra Seibold, Kristiina Aittomäki, Taru A. Muranen, Päivi Heikkilä, Carl Blomqvist, Jonine Figueroa, Stephen J. Chanock, Louise Brinton, Jolanta Lissowska, Janet E. Olson, Vernon S. Pankratz, Esther M. John, Alice S. Whittemore, Dee W. West, Ute Hamann, Diana Torres, Hans Ulrich Ulmer, Thomas Rüdiger, Peter Devilee, Robert A. E. M. Tollenaar, Caroline Seynaeve, Christi J. van Asperen, Diana M. Eccles, William J. Tapper, Lorraine Durcan, Louise Jones, Julian Peto, Isabel Dos-Santos-Silva, Olivia Fletcher, Nichola Johnson, Miriam Dwek, Ruth Swann, Anita L. Bane, Gord Glendon, Anna M. Mulligan, Graham G. Giles, Roger L. Milne, Laura Baglietto, Catriona McLean, Jane Carpenter, Christine Clarke, Rodney Scott, Hiltrud Brauch, Thomas Brüning, Yon-Dschun Ko, Angela Cox, Simon S. Cross, Malcolm W. R. Reed, Jan Lubinski, Katarzyna Jaworska-Bieniek, Katarzyna Durda, Jacek Gronwald, Thilo Dörk, Natalia Bogdanova, Tjoung-Won Park-Simon, Peter Hillemanns, Christopher A. Haiman, Brian E. Henderson, Fredrick Schumacher, Loic Le Marchand, Barbara Burwinkel, Frederik Marme, Harald Surovy, Rongxi Yang, Hoda Anton-Culver, Argyrios Ziogas, Maartje J. Hooning, J. Margriet Collée, John W. M. Martens, Madeleine M. A. Tilanus-Linthorst, Hermann Brenner, Aida Karina Dieffenbach, Volke Arndt, Christa Stegmaier, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Annika Lindblom, Sara Margolin, Vijai Joseph, Mark Robson, Rohini Rau-Murthy, Anna González-Neira, José Ignacio Arias, Pilar Zamora, Javier Benítez, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana M. Hartikainen, Paolo Peterlongo, Daniela Zaffaroni, Monica Barile, Fabio Capra, Paolo Radice, Soo H. Teo, Douglas F. Easton, Antonis C. Antoniou, Georgia Chenevix-Trench, David E. Goldgar

Date Published: 1st Dec 2014

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

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