Karsten Müller

About Karsten Müller:
No description specified

LHA ID: 7WDP7C3Y2W-9

Location:  Germany

ORCID: Not specified

Expertise: Not specified

Tools: Not specified

help Their tags

This person has not yet tagged anything.

Related items

LIFE - Leipzig Research Center for Civilization Diseases: inactive since

Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.

Programme: LIFE Management Cluster

Public web page: http://life.uni-leipzig.de/

Start date: 1st Jan 2009

LIFE Adult

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...

Programme: LIFE Management Cluster

Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html

Start date: 1st Jan 2009

Molecular analyses of glioblastoma stem-like cells and glioblastoma tissue.
Genetical Statistics and Systems Biology

Abstract (Expand)

Glioblastoma is a common, malignant brain tumor whose disease incidence increases with age. Glioblastoma stem-like cells (GSCs) are thought to contribute to cancer therapy resistance and to be responsible … for tumor initiation, maintenance, and recurrence. This study utilizes both SNP array and gene expression profiling to better understand GSCs and their relation to malignant disease. Peripheral blood and primary glioblastoma tumor tissue were obtained from patients, the latter of which was used to generate GSCs as well as a CD133pos./CD15pos. subpopulation. The stem cell features of GSCs were confirmed via the immunofluorescent expression of Nestin, SOX2, and CD133. Both tumor tissue and the isolated primary cells shared unique abnormal genomic characteristics, including a gain of chromosome 7 as well as either a partial or complete loss of chromosome 10. Individual genomic differences were also observed, including the loss of chromosome 4 and segmental uniparental disomy of 9p24.3-->p21.3 in GSCs. Gene expression profiling revealed 418 genes upregulated in tumor tissue vs. CD133pos./CD15pos. cells and 44 genes upregulated in CD133pos./CD15pos. cells vs. tumor tissue. Pathway analyses demonstrated that upregulated genes in CD133pos./CD15pos. cells are relevant to cell cycle processes and cancerogenesis. In summary, we detected previously undescribed genomic and gene expression differences when comparing tumor tissue and isolated stem-like subpopulations.

Authors: M. Wallenborn, L. X. Xu, H. Kirsten, L. Rohani, D. Rudolf, P. Ahnert, C. Schmidt, R. M. Schulz, M. Richter, W. Krupp, W. Mueller, A. A. Johnson, J. Meixensberger, H. Holland

Date Published: 8th Jul 2020

Publication Type: Journal article

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated … in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.

Authors: Michael T. Parsons, Emma Tudini, Hongyan Li, Eric Hahnen, Barbara Wappenschmidt, Lidia Feliubadaló, Cora M. Aalfs, Simona Agata, Kristiina Aittomäki, Elisa Alducci, María Concepción Alonso-Cerezo, Norbert Arnold, Bernd Auber, Rachel Austin, Jacopo Azzollini, Judith Balmaña, Elena Barbieri, Claus R. Bartram, Ana Blanco, Britta Blümcke, Sandra Bonache, Bernardo Bonanni, Åke Borg, Beatrice Bortesi, Joan Brunet, Carla Bruzzone, Karolin Bucksch, Giulia Cagnoli, Trinidad Caldés, Almuth Caliebe, Maria A. Caligo, Mariarosaria Calvello, Gabriele L. Capone, Sandrine M. Caputo, Ileana Carnevali, Estela Carrasco, Virginie Caux-Moncoutier, Pietro Cavalli, Giulia Cini, Edward M. Clarke, Paola Concolino, Elisa J. Cops, Laura Cortesi, Fergus J. Couch, Esther Darder, Miguel de La Hoya, Michael Dean, Irmgard Debatin, Jesús Del Valle, Capucine Delnatte, Nicolas Derive, Orland Diez, Nina Ditsch, Susan M. Domchek, Véronique Dutrannoy, Diana M. Eccles, Hans Ehrencrona, Ute Enders, D. Gareth Evans, Ulrike Faust, Ute Felbor, Irene Feroce, Miriam Fine, Henrique C. R. Galvao, Gaetana Gambino, Andrea Gehrig, Francesca Gensini, Anne-Marie Gerdes, Aldo Germani, Jutta Giesecke, Viviana Gismondi, Carolina Gómez, Encarna B. Gómez Garcia, Sara González, Elia Grau, Sabine Grill, Eva Gross, Aliana Guerrieri-Gonzaga, Marine Guillaud-Bataille, Sara Gutiérrez-Enríquez, Thomas Haaf, Karl Hackmann, Thomas v. O. Hansen, Marion Harris, Jan Hauke, Tilman Heinrich, Heide Hellebrand, Karen N. Herold, Ellen Honisch, Judit Horvath, Claude Houdayer, Verena Hübbel, Silvia Iglesias, Angel Izquierdo, Paul A. James, Linda A. M. Janssen, Udo Jeschke, Silke Kaulfuß, Katharina Keupp, Marion Kiechle, Alexandra Kölbl, Sophie Krieger, Torben A. Kruse, Anders Kvist, Fiona Lalloo, Mirjam Larsen, Vanessa L. Lattimore, Charlotte Lautrup, Susanne Ledig, Elena Leinert, Alexandra L. Lewis, Joanna Lim, Markus Loeffler, Adrià López-Fernández, Emanuela Lucci-Cordisco, Nicolai Maass, Siranoush Manoukian, Monica Marabelli, Laura Matricardi, Alfons Meindl, Rodrigo D. Michelli, Setareh Moghadasi, Alejandro Moles-Fernández, Marco Montagna, Gemma Montalban, Alvaro N. Monteiro, Eva Montes, Luigi Mori, Lidia Moserle, Clemens R. Müller, Christoph Mundhenke, Nadia Naldi, Katherine L. Nathanson, Matilde Navarro, Heli Nevanlinna, Cassandra B. Nichols, Dieter Niederacher, Henriette R. Nielsen, Kai-Ren Ong, Nicholas Pachter, Edenir I. Palmero, Laura Papi, Inge Sokilde Pedersen, Bernard Peissel, Pedro Pérez-Segura, Katharina Pfeifer, Marta Pineda, Esther Pohl-Rescigno, Nicola K. Poplawski, Berardino Porfirio, Anne S. Quante, Juliane Ramser, Rui M. Reis, Françoise Revillion, Kerstin Rhiem, Barbara Riboli, Julia Ritter, Daniela Rivera, Paula Rofes, Andreas Rump, Monica Salinas, Ana María Sánchez de Abajo, Gunnar Schmidt, Ulrike Schoenwiese, Jochen Seggewiß, Ares Solanes, Doris Steinemann, Mathias Stiller, Dominique Stoppa-Lyonnet, Kelly J. Sullivan, Rachel Susman, Christian Sutter, Sean V. Tavtigian, Soo H. Teo, Alex Teulé, Mads Thomassen, Maria Grazia Tibiletti, Silvia Tognazzo, Amanda E. Toland, Eva Tornero, Therese Törngren, Sara Torres-Esquius, Angela Toss, Alison H. Trainer, Christi J. van Asperen, Marion T. van Mackelenbergh, Liliana Varesco, Gardenia Vargas-Parra, Raymonda Varon, Ana Vega, Ángela Velasco, Anne-Sophie Vesper, Alessandra Viel, Maaike P. G. Vreeswijk, Sebastian A. Wagner, Anke Waha, Logan C. Walker, Rhiannon J. Walters, Shan Wang-Gohrke, Bernhard H. F. Weber, Wilko Weichert, Kerstin Wieland, Lisa Wiesmüller, Isabell Witzel, Achim Wöckel, Emma R. Woodward, Silke Zachariae, Valentina Zampiga, Christine Zeder-Göß, Conxi Lázaro, Arcangela de Nicolo, Paolo Radice, Christoph Engel, Rita K. Schmutzler, David E. Goldgar, Amanda B. Spurdle

Date Published: 1st Sep 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Economic modeling of risk-adapted screen-and-treat strategies in women at high risk for breast or ovarian cancer
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND The ’German Consortium for Hereditary Breast and Ovarian Cancer’ (GC-HBOC) offers women with a family history of breast and ovarian cancer genetic counseling. The aim of this modeling study …y was to evaluate the cost-effectiveness of genetic testing for BRCA 1/2 in women with a high familial risk followed by different preventive interventions (intensified surveillance, risk-reducing bilateral mastectomy, risk-reducing bilateral salpingo-oophorectomy, or both mastectomy and salpingo-oophorectomy) compared to no genetic test. METHODS A Markov model with a lifelong time horizon was developed for a cohort of 35-year-old women with a BRCA 1/2 mutation probability of ≥ 10%. The perspective of the German statutory health insurance (SHI) was adopted. The model included the health states ’well’ (women with increased risk), ’breast cancer without metastases’, ’breast cancer with metastases’, ’ovarian cancer’, ’death’, and two post (non-metastatic) breast or ovarian cancer states. Outcomes were costs, quality of life years gained (QALYs) and life years gained (LYG). Important data used for the model were obtained from 4380 women enrolled in the GC-HBOC. RESULTS Compared with the no test strategy, genetic testing with subsequent surgical and non-surgical treatment options provided to women with deleterious BRCA 1 or 2 mutations resulted in additional costs of \text€7256 and additional QALYs of 0,43 (incremental cost-effectiveness ratio of \text€17,027 per QALY; cost per LYG: \text€22,318). The results were robust in deterministic and probabilistic sensitivity analyses. CONCLUSION The provision of genetic testing to high-risk women with a BRCA1 and two mutation probability of ≥ 10% based on the individual family cancer history appears to be a cost-effective option for the SHI.

Authors: Dirk Müller, Marion Danner, Rita Schmutzler, Christoph Engel, Kirsten Wassermann, Björn Stollenwerk, Stephanie Stock, Kerstin Rhiem

Date Published: 1st Jul 2019

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND Germline mutations in the BRIP1 gene have been described as conferring a moderate risk for ovarian cancer (OC), while the role of BRIP1 in breast cancer (BC) pathogenesis remains controversial. …. METHODS To assess the role of deleterious BRIP1 germline mutations in BC/OC predisposition, 6341 well-characterized index patients with BC, 706 index patients with OC, and 2189 geographically matched female controls were screened for loss-of-function (LoF) mutations and potentially damaging missense variants. All index patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germline testing and tested negative for pathogenic BRCA1/2 variants. RESULTS BRIP1 LoF mutations confer a high OC risk in familial index patients (odds ratio (OR) = 20.97, 95% confidence interval (CI) = 12.02-36.57, P \textless 0.0001) and in the subgroup of index patients with late-onset OC (OR = 29.91, 95% CI = 14.99-59.66, P \textless 0.0001). No significant association of BRIP1 LoF mutations with familial BC was observed (OR = 1.81 95% CI = 1.00-3.30, P = 0.0623). In the subgroup of familial BC index patients without a family history of OC there was also no apparent association (OR = 1.42, 95% CI = 0.70-2.90, P = 0.3030). In 1027 familial BC index patients with a family history of OC, the BRIP1 mutation prevalence was significantly higher than that observed in controls (OR = 3.59, 95% CI = 1.43-9.01; P = 0.0168). Based on the negative association between BRIP1 LoF mutations and familial BC in the absence of an OC family history, we conclude that the elevated mutation prevalence in the latter cohort was driven by the occurrence of OC in these families. Compared with controls, predicted damaging rare missense variants were significantly more prevalent in OC (P = 0.0014) but not in BC (P = 0.0693) patients. CONCLUSIONS To avoid ambiguous results, studies aimed at assessing the impact of candidate predisposition gene mutations on BC risk might differentiate between BC index patients with an OC family history and those without. In familial cases, we suggest that BRIP1 is a high-risk gene for late-onset OC but not a BC predisposition gene, though minor effects cannot be excluded.

Authors: Nana Weber-Lassalle, Jan Hauke, Juliane Ramser, Lisa Richters, Eva Groß, Britta Blümcke, Andrea Gehrig, Anne-Karin Kahlert, Clemens R. Müller, Karl Hackmann, Ellen Honisch, Konstantin Weber-Lassalle, Dieter Niederacher, Julika Borde, Holger Thiele, Corinna Ernst, Janine Altmüller, Guido Neidhardt, Peter Nürnberg, Kristina Klaschik, Christopher Schroeder, Konrad Platzer, Alexander E. Volk, Shan Wang-Gohrke, Walter Just, Bernd Auber, Christian Kubisch, Gunnar Schmidt, Judit Horvath, Barbara Wappenschmidt, Christoph Engel, Norbert Arnold, Bernd Dworniczak, Kerstin Rhiem, Alfons Meindl, Rita K. Schmutzler, Eric Hahnen

Date Published: 1st Dec 2018

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Cost-effectiveness of different strategies to prevent breast and ovarian cancer in German women with a BRCA 1 or 2 mutation
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

BACKGROUND Women with a BRCA1 or BRCA2 mutation are at increased risk of developing breast and/or ovarian cancer. This economic modeling study evaluated different preventive interventions for 30-year-old …d women with a confirmed BRCA (1 or 2) mutation. METHODS A Markov model was developed to estimate the costs and benefits [i.e., quality-adjusted life years (QALYs), and life years gained (LYG)] associated with prophylactic bilateral mastectomy (BM), prophylactic bilateral salpingo-oophorectomy (BSO), BM plus BSO, BM plus BSO at age 40, and intensified surveillance. Relevant input data was obtained from a large German database including 5902 women with BRCA 1 or 2, and from the literature. The analysis was performed from the German Statutory Health Insurance (SHI) perspective. In order to assess the robustness of the results, deterministic and probabilistic sensitivity analyses were performed. RESULTS With costs of \text€29,434 and a gain in QALYs of 17.7 (LYG 19.9), BM plus BSO at age 30 was less expensive and more effective than the other strategies, followed by BM plus BSO at age 40. Women who were offered the surveillance strategy had the highest costs at the lowest gain in QALYs/LYS. In the probabilistic sensitivity analysis, the probability of cost-saving was 57% for BM plus BSO. At a WTP of 10,000 \text€ per QALY, the probability of the intervention being cost-effective was 80%. CONCLUSIONS From the SHI perspective, undergoing BM plus immediate BSO should be recommended to BRCA 1 or 2 mutation carriers due to its favorable comparative cost-effectiveness.

Authors: Dirk Müller, Marion Danner, Kerstin Rhiem, Björn Stollenwerk, Christoph Engel, Linda Rasche, Lisa Borsi, Rita Schmutzler, Stephanie Stock

Date Published: 1st Apr 2018

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Association Between Loss-of-Function Mutations Within the FANCM Gene and Early-Onset Familial Breast Cancer
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

Importance Germline mutations in established moderately or highly penetrant risk genes for breast cancer (BC) and/or ovarian cancer (OC), including BRCA1 and BRCA2, explain fewer than half of all …l familial BC and/or OC cases. Based on the genotyping of 2 loss-of-function (LoF) variants c.5101C\textgreaterT (p.GIn1701Ter [rs147021911]) and c.5791C\textgreaterT (p.Arg1931Ter [rs144567652]), the FANCM gene has been suggested as a novel BC predisposition gene, while the analysis of the entire coding region of the FANCM gene in familial index cases and geographically matched controls is pending. Objectives To assess the mutational spectrum within the FANCM gene, and to determine a potential association of LoF germline mutations within the FANCM gene with BC and/or OC risk. Design, Setting, and Participants For the purpose of identification and characterization of novel BC and/or OC predisposition genes, a total of 2047 well-characterized familial BC index cases, 628 OC cases, and 2187 geographically matched controls were screened for LoF mutations within the FANCM gene by next-generation sequencing. All patients previously tested negative for pathogenic BRCA1 and BRCA2 mutations. All data collection occurred between June 1, 2013, and April 30, 2016. Data analysis was performed from May 1, 2016, to July 1, 2016. Main Outcomes and Measures FANCM LoF mutation frequencies in patients with BC and/or OC were compared with the FANCM LoF mutation frequencies in geographically matched controls by univariate logistic regression. Positive associations were stratified by age at onset and cancer family history. Results In this case-control study, 2047 well-characterized familial female BC index cases, 628 OC cases, and 2187 geographically matched controls were screened for truncating FANCM alterations. Heterozygous LoF mutations within the FANCM gene were significantly associated with familial BC risk, with an overall odds ratio (OR) of 2.05 (95% CI, 0.94-4.54; P = .049) and a mutation frequency of 1.03% in index cases. In familial patients whose BC onset was before age 51 years, an elevated OR of 2.44 (95% CI, 1.08-5.59; P = .02) was observed. A more pronounced association was identified for patients with a triple-negative BC tumor phenotype (OR, 3.75; 95% CI, 1.00-12.85; P = .02). No significant association was detected for unselected OC cases (OR, 1.74; 95% CI, 0.57-5.08; P = .27). Conclusions and Relevance Based on the significant associations of heterozygous LoF mutations with early-onset or triple-negative BC, FANCM should be included in diagnostic gene panel testing for individual risk assessment. Larger studies are required to determine age-dependent disease risks for BC and to assess a potential role of FANCM mutations in OC pathogenesis.

Authors: Guido Neidhardt, Jan Hauke, Juliane Ramser, Eva Groß, Andrea Gehrig, Clemens R. Müller, Anne-Karin Kahlert, Karl Hackmann, Ellen Honisch, Dieter Niederacher, Stefanie Heilmann-Heimbach, André Franke, Wolfgang Lieb, Holger Thiele, Janine Altmüller, Peter Nürnberg, Kristina Klaschik, Corinna Ernst, Nina Ditsch, Frank Jessen, Alfredo Ramirez, Barbara Wappenschmidt, Christoph Engel, Kerstin Rhiem, Alfons Meindl, Rita K. Schmutzler, Eric Hahnen

Date Published: 1st Sep 2017

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Predicting behavioral variant frontotemporal dementia with pattern classification in multi-center structural MRI data.
LIFE Adult

Abstract (Expand)

PURPOSE: Frontotemporal lobar degeneration (FTLD) is a common cause of early onset dementia. Behavioral variant frontotemporal dementia (bvFTD), its most common subtype, is characterized by deep … alterations in behavior and personality. In 2011, new diagnostic criteria were suggested that incorporate imaging criteria into diagnostic algorithms. The study aimed at validating the potential of imaging criteria to individually predict diagnosis with machine learning algorithms. MATERIALS & METHODS: Brain atrophy was measured with structural magnetic resonance imaging (MRI) at 3 Tesla in a multi-centric cohort of 52 bvFTD patients and 52 healthy control subjects from the German FTLD Consortium's Study. Beside group comparisons, diagnosis bvFTD vs. controls was individually predicted in each subject with support vector machine classification in MRI data across the whole brain or in frontotemporal, insular regions, and basal ganglia known to be mainly affected based on recent meta-analyses. Multi-center effects were controlled for with a new method, "leave one center out" conjunction analyses, i.e. repeatedly excluding subjects from each center from the analysis. RESULTS: Group comparisons revealed atrophy in, most consistently, the frontal lobe in bvFTD beside alterations in the insula, basal ganglia and temporal lobe. Most remarkably, support vector machine classification enabled predicting diagnosis in single patients with a high accuracy of up to 84.6%, where accuracy was highest in a region-of-interest approach focusing on frontotemporal, insular regions, and basal ganglia in comparison with the whole brain approach. CONCLUSION: Our study demonstrates that MRI, a widespread imaging technology, can individually identify bvFTD with high accuracy in multi-center imaging data, paving the road to personalized diagnostic approaches in the future.

Authors: S. Meyer, K. Mueller, K. Stuke, S. Bisenius, J. Diehl-Schmid, F. Jessen, J. Kassubek, J. Kornhuber, A. C. Ludolph, J. Prudlo, A. Schneider, K. Schuemberg, I. Yakushev, M. Otto, M. L. Schroeter

Date Published: 29th Mar 2017

Publication Type: Journal article

Human Diseases: frontotemporal dementia

No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

OBJECTIVE Clinical genetic testing is commercially available for rs61764370, an inherited variant residing in a KRAS 3’ UTR microRNA binding site, based on suggested associations with increased ovarian …n and breast cancer risk as well as with survival time. However, prior studies, emphasizing particular subgroups, were relatively small. Therefore, we comprehensively evaluated ovarian and breast cancer risks as well as clinical outcome associated with rs61764370. METHODS Centralized genotyping and analysis were performed for 140,012 women enrolled in the Ovarian Cancer Association Consortium (15,357 ovarian cancer patients; 30,816 controls), the Breast Cancer Association Consortium (33,530 breast cancer patients; 37,640 controls), and the Consortium of Modifiers of BRCA1 and BRCA2 (14,765 BRCA1 and 7904 BRCA2 mutation carriers). RESULTS We found no association with risk of ovarian cancer (OR=0.99, 95% CI 0.94-1.04, p=0.74) or breast cancer (OR=0.98, 95% CI 0.94-1.01, p=0.19) and results were consistent among mutation carriers (BRCA1, ovarian cancer HR=1.09, 95% CI 0.97-1.23, p=0.14, breast cancer HR=1.04, 95% CI 0.97-1.12, p=0.27; BRCA2, ovarian cancer HR=0.89, 95% CI 0.71-1.13, p=0.34, breast cancer HR=1.06, 95% CI 0.94-1.19, p=0.35). Null results were also obtained for associations with overall survival following ovarian cancer (HR=0.94, 95% CI 0.83-1.07, p=0.38), breast cancer (HR=0.96, 95% CI 0.87-1.06, p=0.38), and all other previously-reported associations. CONCLUSIONS rs61764370 is not associated with risk of ovarian or breast cancer nor with clinical outcome for patients with these cancers. Therefore, genotyping this variant has no clinical utility related to the prediction or management of these cancers.

Authors: Antoinette Hollestelle, Frederieke H. van der Baan, Andrew Berchuck, Sharon E. Johnatty, Katja K. Aben, Bjarni A. Agnarsson, Kristiina Aittomäki, Elisa Alducci, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Antonis C. Antoniou, Carmel Apicella, Volker Arndt, Norbert Arnold, Banu K. Arun, Brita Arver, Alan Ashworth, Laura Baglietto, Rosemary Balleine, Elisa V. Bandera, Daniel Barrowdale, Yukie T. Bean, Lars Beckmann, Matthias W. Beckmann, Javier Benitez, Andreas Berger, Raanan Berger, Benoit Beuselinck, Maria Bisogna, Line Bjorge, Carl Blomqvist, Natalia V. Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Judith S. Brand, Hiltrud Brauch, Hermann Brenner, Louise Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Joan Brunet, Thomas Brüning, Agnieszka Budzilowska, Clareann H. Bunker, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Maria A. Caligo, Ian Campbell, Jonathan Carter, Jenny Chang-Claude, Stephen J. Chanock, Kathleen B. M. Claes, J. Margriet Collée, Linda S. Cook, Fergus J. Couch, Angela Cox, Daniel Cramer, Simon S. Cross, Julie M. Cunningham, Cezary Cybulski, Kamila Czene, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Miguel de La Hoya, Anna deFazio, Joseph Dennis, Peter Devilee, Ed M. Dicks, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Isabel Dos Santos Silva, Andreas Du Bois, Martine Dumont, Alison M. Dunning, Mercedes Duran, Douglas F. Easton, Diana Eccles, Robert P. Edwards, Hans Ehrencrona, Bent Ejlertsen, Arif B. Ekici, Steve D. Ellis, Christoph Engel, Mikael Eriksson, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Annette Fontaine, Stefano Fortuzzi, Florentia Fostira, Brooke L. Fridley, Tara Friebel, Eitan Friedman, Grace Friel, Debra Frost, Judy Garber, Montserrat García-Closas, Simon A. Gayther, Aleksandra Gentry-Maharaj, Anne-Marie Gerdes, Graham G. Giles, Rosalind Glasspool, Gord Glendon, Andrew K. Godwin, Marc T. Goodman, Martin Gore, Mark H. Greene, Mervi Grip, Jacek Gronwald, Daphne Gschwantler Kaulich, Pascal Guénel, Starr R. Guzman, Lothar Haeberle, Christopher A. Haiman, Per Hall, Sandra L. Halverson, Ute Hamann, Thomas v. O. Hansen, Philipp Harter, Jaana M. Hartikainen, Sue Healey, Alexander Hein, Florian Heitz, Brian E. Henderson, Josef Herzog, Michelle A. T Hildebrandt, Claus K. Høgdall, Estrid Høgdall, Frans B. L. Hogervorst, John L. Hopper, Keith Humphreys, Tomasz Huzarski, Evgeny N. Imyanitov, Claudine Isaacs, Anna Jakubowska, Ramunas Janavicius, Katarzyna Jaworska, Allan Jensen, Uffe Birk Jensen, Nichola Johnson, Arja Jukkola-Vuorinen, Maria Kabisch, Beth Y. Karlan, Vesa Kataja, Noah Kauff, Linda E. Kelemen, Michael J. Kerin, Lambertus A. Kiemeney, Susanne K. Kjaer, Julia A. Knight, Jacoba P. Knol-Bout, Irene Konstantopoulou, Veli-Matti Kosma, Camilla Krakstad, Vessela Kristensen, Karoline B. Kuchenbaecker, Jolanta Kupryjanczyk, Yael Laitman, Diether Lambrechts, Sandrina Lambrechts, Melissa C. Larson, Adriana Lasa, Pierre Laurent-Puig, Conxi Lazaro, Nhu D. Le, Loic Le Marchand, Arto Leminen, Jenny Lester, Douglas A. Levine, Jingmei Li, Dong Liang, Annika Lindblom, Noralane Lindor, Jolanta Lissowska, Jirong Long, Karen H. Lu, Jan Lubinski, Lene Lundvall, Galina Lurie, Phuong L. Mai, Arto Mannermaa, Sara Margolin, Frederique Mariette, Frederik Marme, John W. M. Martens, Leon F. A. G. Massuger, Christine Maugard, Sylvie Mazoyer, Lesley McGuffog, Valerie McGuire, Catriona McLean, Iain McNeish, Alfons Meindl, Florence Menegaux, Primitiva Menéndez, Janusz Menkiszak, Usha Menon, Arjen R. Mensenkamp, Nicola Miller, Roger L. Milne, Francesmary Modugno, Marco Montagna, Kirsten B. Moysich, Heiko Müller, Anna Marie Mulligan, Taru A. Muranen, Steven A. Narod, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Patrick Neven, Finn C. Nielsen, Sune F. Nielsen, Børge G. Nordestgaard, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Sara H. Olson, Jan C. Oosterwijk, Irene Orlow, Nick Orr, Sandra Orsulic, Ana Osorio, Laura Ottini, James Paul, Celeste L. Pearce, Inge Sokilde Pedersen, Bernard Peissel, Tanja Pejovic, Liisa M. Pelttari, Jo Perkins, Jenny Permuth-Wey, Paolo Peterlongo, Julian Peto, Catherine M. Phelan, Kelly-Anne Phillips, Marion Piedmonte, Malcolm C. Pike, Radka Platte, Joanna Plisiecka-Halasa, Elizabeth M. Poole, Bruce Poppe, Katri Pylkäs, Paolo Radice, Susan J. Ramus, Timothy R. Rebbeck, Malcolm W. R. Reed, Gad Rennert, Harvey A. Risch, Mark Robson, Gustavo C. Rodriguez, Atocha Romero, Mary Anne Rossing, Joseph H. Rothstein, Anja Rudolph, Ingo Runnebaum, Ritu Salani, Helga B. Salvesen, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Andreas Schneeweiss, Minouk J. Schoemaker, Michael G. Schrauder, Fredrick Schumacher, Ira Schwaab, Giulietta Scuvera, Thomas A. Sellers, Gianluca Severi, Caroline M. Seynaeve, Mitul Shah, Martha Shrubsole, Nadeem Siddiqui, Weiva Sieh, Jacques Simard, Christian F. Singer, Olga M. Sinilnikova, Dominiek Smeets, Christof Sohn, Maria Soller, Honglin Song, Penny Soucy, Melissa C. Southey, Christa Stegmaier, Dominique Stoppa-Lyonnet, Lara Sucheston, Anthony Swerdlow, Ingvild L. Tangen, Muy-Kheng Tea, Manuel R. Teixeira, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Pamela J. Thompson, Laima Tihomirova, Marc Tischkowitz, Amanda Ewart Toland, Rob A. E. M. Tollenaar, Ian Tomlinson, Diana Torres, Thérèse Truong, Helen Tsimiklis, Nadine Tung, Shelley S. Tworoger, Jonathan P. Tyrer, Celine M. Vachon, Laura J. van ’t Veer, Anne M. van Altena, C. J. van Asperen, David van den Berg, Ans M. W. van den Ouweland, Helena C. van Doorn, Els van Nieuwenhuysen, Elizabeth J. van Rensburg, Ignace Vergote, Senno Verhoef, Robert A. Vierkant, Joseph Vijai, Allison F. Vitonis, Anna von Wachenfeldt, Christine Walsh, Qin Wang, Shan Wang-Gohrke, Barbara Wappenschmidt, Maren Weischer, Jeffrey N. Weitzel, Caroline Weltens, Nicolas Wentzensen, Alice S. Whittemore, Lynne R. Wilkens, Robert Winqvist, Anna H. Wu, Xifeng Wu, Hannah P. Yang, Daniela Zaffaroni, M. Pilar Zamora, Wei Zheng, Argyrios Ziogas, Georgia Chenevix-Trench, Paul D. P. Pharoah, Matti A. Rookus, Maartje J. Hooning, Ellen L. Goode

Date Published: 1st May 2016

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Serum BDNF correlates with connectivity in the (pre)motor hub in the aging human brain--a resting-state fMRI pilot study.
LIFE Adult

Abstract (Expand)

Brain-derived neurotrophic factor (BDNF) has been discussed to be involved in plasticity processes in the human brain, in particular during aging. Recently, aging and its (neurodegenerative) diseases … have increasingly been conceptualized as disconnection syndromes. Here, connectivity changes in neural networks (the connectome) are suggested to be the most relevant and characteristic features for such processes or diseases. To further elucidate the impact of aging on neural networks, we investigated the interaction between plasticity processes, brain connectivity, and healthy aging by measuring levels of serum BDNF and resting-state fMRI data in 25 young (mean age 24.8 +/- 2.7 (SD) years) and 23 old healthy participants (mean age, 68.6 +/- 4.1 years). To identify neural hubs most essentially related to serum BDNF, we applied graph theory approaches, namely the new data-driven and parameter-free approach eigenvector centrality (EC) mapping. The analysis revealed a positive correlation between serum BDNF and EC in the premotor and motor cortex in older participants in contrast to young volunteers, where we did not detect any association. This positive relationship between serum BDNF and EC appears to be specific for older adults. Our results might indicate that the amount of physical activity and learning capacities, leading to higher BDNF levels, increases brain connectivity in (pre)motor areas in healthy aging in agreement with rodent animal studies. Pilot results have to be replicated in a larger sample including behavioral data to disentangle the cause for the relationship between BDNF levels and connectivity.

Authors: K. Mueller, K. Arelin, H. E. Moller, J. Sacher, J. Kratzsch, T. Luck, S. Riedel-Heller, A. Villringer, M. L. Schroeter

Date Published: 2nd Feb 2016

Publication Type: Not specified

Fine-scale mapping of the FGFR2 breast cancer risk locus: putative functional variants differentially bind FOXA1 and E2F1
GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer

Abstract (Expand)

The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in … case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ER\textgreeka to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.

Authors: Kerstin B. Meyer, Martin O’Reilly, Kyriaki Michailidou, Saskia Carlebur, Stacey L. Edwards, Juliet D. French, Radhika Prathalingham, Joe Dennis, Manjeet K. Bolla, Qin Wang, Ines de Santiago, John L. Hopper, Helen Tsimiklis, Carmel Apicella, Melissa C. Southey, Marjanka K. Schmidt, Annegien Broeks, Laura J. van ’t Veer, Frans B. Hogervorst, Kenneth Muir, Artitaya Lophatananon, Sarah Stewart-Brown, Pornthep Siriwanarangsan, Peter A. Fasching, Michael P. Lux, Arif B. Ekici, Matthias W. Beckmann, Julian Peto, Isabel Dos Santos Silva, Olivia Fletcher, Nichola Johnson, Elinor J. Sawyer, Ian Tomlinson, Michael J. Kerin, Nicola Miller, Federick Marme, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Thérèse Truong, Pierre Laurent-Puig, Florence Menegaux, Stig E. Bojesen, Børge G. Nordestgaard, Sune F. Nielsen, Henrik Flyger, Roger L. Milne, M. Pilar Zamora, Jose I. Arias, Javier Benitez, Susan Neuhausen, Hoda Anton-Culver, Argyrios Ziogas, Christina C. Dur, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Alfons Meindl, Rita K. Schmutzler, Christoph Engel, Nina Ditsch, Hiltrud Brauch, Thomas Brüning, Yon-Dschun Ko, Heli Nevanlinna, Taru A. Muranen, Kristiina Aittomäki, Carl Blomqvist, Keitaro Matsuo, Hidemi Ito, Hiroji Iwata, Yasushi Yatabe, Thilo Dörk, Sonja Helbig, Natalia V. Bogdanova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana M. Hartikainen, Georgia Chenevix-Trench, Anna H. Wu, Chiu-Chen Tseng, David van den Berg, Daniel O. Stram, Diether Lambrechts, Bernard Thienpont, Marie-Rose Christiaens, Ann Smeets, Jenny Chang-Claude, Anja Rudolph, Petra Seibold, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Bernardo Bonanni, Loris Bernard, Fergus J. Couch, Janet E. Olson, Xianshu Wang, Kristen Purrington, Graham G. Giles, Gianluca Severi, Laura Baglietto, Catriona McLean, Christopher A. Haiman, Brian E. Henderson, Fredrick Schumacher, Loic Le Marchand, Jacques Simard, Mark S. Goldberg, France Labrèche, Martine Dumont, Soo-Hwang Teo, Cheng-Har Yip, Sze-Yee Phuah, Vessela Kristensen, Grethe Grenaker Alnæs, Anne-Lise Børresen-Dale, Wei Zheng, Sandra Deming-Halverson, Martha Shrubsole, Jirong Long, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Saila Kauppila, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Sandrine Tchatchou, Peter Devilee, Robert A. E. M. Tollenaar, Caroline M. Seynaeve, Montserrat García-Closas, Jonine Figueroa, Stephen J. Chanock, Jolanta Lissowska, Kamila Czene, Hartef Darabi, Kimael Eriksson, Maartje J. Hooning, John W. M. Martens, Ans M. W. van den Ouweland, Carolien H. M. van Deurzen, Per Hall, Jingmei Li, Jianjun Liu, Keith Humphreys, Xiao-Ou Shu, Wei Lu, Yu-Tang Gao, Hui Cai, Angela Cox, Malcolm W. R. Reed, William Blot, Lisa B. Signorello, Qiuyin Cai, Paul D. P. Pharoah, Maya Ghoussaini, Patricia Harrington, Jonathan Tyrer, Daehee Kang, Ji-Yeob Choi, Sue K. Park, Dong-Young Noh, Mikael Hartman, Miao Hui, Wei-Yen Lim, Shaik A. Buhari, Ute Hamann, Asta Försti, Thomas Rüdiger, Hans-Ulrich Ulmer, Anna Jakubowska, Jan Lubinski, Katarzyna Jaworska, Katarzyna Durda, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Celine Vachon, Susan Slager, Florentia Fostira, Robert Pilarski, Chen-Yang Shen, Chia-Ni Hsiung, Pei-Ei Wu, Ming-Feng Hou, Anthony Swerdlow, Alan Ashworth, Nick Orr, Minouk J. Schoemaker, Bruce A. J. Ponder, Alison M. Dunning, Douglas F. Easton

Date Published: 1st Dec 2013

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

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