TY - JOUR A1 - Blein, Sophie A1 - Bardel, Claire A1 - Danjean, Vincent A1 - McGuffog, Lesley A1 - Healay, Sue A1 - Barrowdale, Daniel A1 - Lee, Andrew A1 - Dennis, Joe A1 - Kuchenbaecker, Karoline B. A1 - Soucy, Penny A1 - Terry, Mary Beth A1 - Chung, Wendy K. A1 - Goldgar, David E. A1 - Buys, Saundra S. A1 - Janavicius, Ramunas A1 - Tihomirova, Laima A1 - Tung, Nadine A1 - Dorfling, Cecilia M. A1 - van Rensburg, Elizabeth J. A1 - Neuhausen, Susan L. A1 - Ding, Yuan Chun A1 - Gerdes, Anne-Marie A1 - Ejlertsen, Bent A1 - Nielsen, Finn C. A1 - Hansen, Thomas V. O. A1 - Osorio, Ana A1 - Benitez, Javier A1 - Andreas Conejero, Raquel A1 - Segota, Ena A1 - Weitzel, Jeffrey N. A1 - Thelander, Margo A1 - Peterlongo, Paolo A1 - Radice, Paolo A1 - Pensotti, Valeria A1 - Dolcetti, Riccardo A1 - Bonanni, Bernardo A1 - Peissel, Bernard A1 - Zaffaroni, Daniela A1 - Scuvera, Giulietta A1 - Manoukian, Siranoush A1 - Varesco, Liliana A1 - Capone, Gabriele L. A1 - Papi, Laura A1 - Ottini, Laura A1 - Yannoukakos, Drakoulis A1 - Konstantopoulou, Irene A1 - Garber, Judy A1 - Hamann, Ute A1 - Donaldson, Alan A1 - Brady, Angela A1 - Brewer, Carole A1 - Foo, Claire A1 - Evans, D. Gareth A1 - Frost, Debra A1 - Eccles, Diana A1 - Douglas, Fiona A1 - Cook, Jackie A1 - Adlard, Julian A1 - Barwell, Julian A1 - Walker, Lisa A1 - Izatt, Louise A1 - Side, Lucy E. A1 - Kennedy, M. John A1 - Tischkowitz, Marc A1 - Rogers, Mark T. A1 - Porteous, Mary E. A1 - Morrison, Patrick J. A1 - Platte, Radka A1 - Eeles, Ros A1 - Davidson, Rosemarie A1 - Hodgson, Shirley A1 - Cole, Trevor A1 - Godwin, Andrew K A1 - Isaacs, Claudine A1 - Claes, Kathleen A1 - De Leeneer, Kim A1 - Meindl, Alfons A1 - Gehrig, Andrea A1 - Wappenschmidt, Barbara A1 - Sutter, Christian A1 - Engel, Christoph A1 - Niederacher, Dieter A1 - Steinemann, Doris A1 - Plendl, Hansjoerg A1 - Kast, Karin A1 - Rhiem, Kerstin A1 - Ditsch, Nina A1 - Arnold, Norbert A1 - Varon-Mateeva, Raymonda A1 - Schmutzler, Rita K. A1 - Preisler-Adams, Sabine A1 - Markov, Nadja Bogdanova A1 - Wang-Gohrke, Shan A1 - de Pauw, Antoine A1 - Lefol, Cedrick A1 - Lasset, Christine A1 - Leroux, Dominique A1 - Rouleau, Etienne A1 - Damiola, Francesca A1 - Dreyfus, Helene A1 - Barjhoux, Laure A1 - Golmard, Lisa A1 - Uhrhammer, Nancy A1 - Bonadona, Valerie A1 - Sornin, Valerie A1 - Bignon, Yves-Jean A1 - Carter, Jonathan A1 - Van Le, Linda A1 - Piedmonte, Marion A1 - DiSilvestro, Paul A. A1 - de la Hoya, Miguel A1 - Caldes, Trinidad A1 - Nevanlinna, Heli A1 - Aittomäki, Kristiina A1 - Jager, Agnes A1 - van den Ouweland, Ans M. W. A1 - Kets, Carolien M. A1 - Aalfs, Cora M. A1 - van Leeuwen, Flora E. A1 - Hogervorst, Frans B. L. A1 - Meijers-Heijboer, Hanne E. J. A1 - Oosterwijk, Jan C. A1 - van Roozendaal, Kees E. P. A1 - Rookus, Matti A. A1 - Devilee, Peter A1 - van der Luijt, Rob B. A1 - Olah, Edith A1 - Diez, Orland A1 - Teule, Alex A1 - Lazaro, Conxi A1 - Blanco, Ignacio A1 - Del Valle, Jesus A1 - Jakubowska, Anna A1 - Sukiennicki, Grzegorz A1 - Gronwald, Jacek A1 - Spurdle, Amanda B. A1 - Foulkes, William A1 - Olswold, Curtis A1 - Lindor, Noralene M. A1 - Pankratz, Vernon S. A1 - Szabo, Csilla I. A1 - Lincoln, Anne A1 - Jacobs, Lauren A1 - Corines, Marina A1 - Robson, Mark A1 - Vijai, Joseph A1 - Berger, Andreas A1 - Fink-Retter, Anneliese A1 - Singer, Christian F. A1 - Rappaport, Christine A1 - Geschwantler Kaulich, Daphne A1 - Pfeiler, Georg A1 - Tea, Muy-Kheng A1 - Greene, Mark H. A1 - Mai, Phuong L. A1 - Rennert, Gad A1 - Imyanitov, Evgeny N. A1 - Mulligan, Anna Marie A1 - Glendon, Gord A1 - Andrulis, Irene L. A1 - Tchatchou, Andrine A1 - Toland, Amanda Ewart A1 - Pedersen, Inge Sokilde A1 - Thomassen, Mads A1 - Kruse, Torben A. A1 - Jensen, Uffe Birk A1 - Caligo, Maria A. A1 - Friedman, Eitan A1 - Zidan, Jamal A1 - Laitman, Yael A1 - Lindblom, Annika A1 - Melin, Beatrice A1 - Arver, Brita A1 - Loman, Niklas A1 - Rosenquist, Richard A1 - Olopade, Olufunmilayo I. A1 - Nussbaum, Robert L. A1 - Ramus, Susan J. A1 - Nathanson, Katherine L. A1 - Domchek, Susan M. A1 - Rebbeck, Timothy R. A1 - Arun, Banu K. A1 - Mitchell, Gillian A1 - Karlan, Bethy Y. A1 - Lester, Jenny A1 - Orsulic, Sandra A1 - Stoppa-Lyonnet, Dominique A1 - Thomas, Gilles A1 - Simard, Jacques A1 - Couch, Fergus J. A1 - Offit, Kenenth A1 - Easton, Douglas F. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. A1 - Mazoyer, Sylvie A1 - Phelan, Catherine M. A1 - Sinilnikova, Olga M. A1 - Cox, David G. T1 - An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers JF - Breast Cancer Research N2 - Introduction: Individuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers. Methods: We genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals. Results: We discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk. Conclusions: This study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects. KW - single-nucleotide polymorphisms KW - genetic modifiers KW - oxidative stress KW - consortium KW - multiple diseases KW - DNA KW - haplogroups KW - susceptibility KW - Ovarian KW - variants Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-145458 VL - 17 IS - 61 ER - TY - JOUR A1 - Gassen, Alwine A1 - Brechtefeld, Doris A1 - Schandry, Niklas A1 - Arteaga-Salas, J. Manuel A1 - Israel, Lars A1 - Imhof, Axel A1 - Janzen, Christian J. T1 - DOT1A-dependent H3K76 methylation is required for replication regulation in Trypanosoma brucei JF - Nucleic Acids Research N2 - Cell-cycle progression requires careful regulation to ensure accurate propagation of genetic material to the daughter cells. Although many cell-cycle regulators are evolutionarily conserved in the protozoan parasite Trypanosoma brucei, novel regulatory mechanisms seem to have evolved. Here, we analyse the function of the histone methyltransferase DOT1A during cell-cycle progression. Over-expression of DOT1A generates a population of cells with aneuploid nuclei as well as enucleated cells. Detailed analysis shows that DOT1A over-expression causes continuous replication of the nuclear DNA. In contrast, depletion of DOT1A by RNAi abolishes replication but does not prevent karyokinesis. As histone H3K76 methylation has never been associated with replication control in eukaryotes before, we have discovered a novel function of DOT1 enzymes, which might not be unique to trypanosomes. KW - variants KW - cell-cycle regulation KW - blood-stream forms KW - african trypanosomes KW - mammalian cells KW - DNA replication KW - DOT1 KW - protein KW - transcription KW - cultivation Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131449 VL - 40 IS - 20 ER - TY - JOUR A1 - Grassmann, Felix A1 - Fritsche, Lars G. A1 - Keilhauer, Claudia N. A1 - Heid, Iris M. A1 - Weber, Bernhard H. F. T1 - Modelling the Genetic Risk in Age-Related Macular Degeneration JF - PLoS One N2 - Late-stage age-related macular degeneration (AMD) is a common sight-threatening disease of the central retina affecting approximately 1 in 30 Caucasians. Besides age and smoking, genetic variants from several gene loci have reproducibly been associated with this condition and likely explain a large proportion of disease. Here, we developed a genetic risk score (GRS) for AMD based on 13 risk variants from eight gene loci. The model exhibited good discriminative accuracy, area-under-curve (AUC) of the receiver-operating characteristic of 0.820, which was confirmed in a cross-validation approach. Noteworthy, younger AMD patients aged below 75 had a significantly higher mean GRS (1.87, 95% CI: 1.69-2.05) than patients aged 75 and above (1.45, 95% CI: 1.36-1.54). Based on five equally sized GRS intervals, we present a risk classification with a relative AMD risk of 64.0 (95% CI: 14.11-1131.96) for individuals in the highest category (GRS 3.44-5.18, 0.5% of the general population) compared to subjects with the most common genetic background (GRS -0.05-1.70, 40.2% of general population). The highest GRS category identifies AMD patients with a sensitivity of 7.9% and a specificity of 99.9% when compared to the four lower categories. Modeling a general population around 85 years of age, 87.4% of individuals in the highest GRS category would be expected to develop AMD by that age. In contrast, only 2.2% of individuals in the two lowest GRS categories which represent almost 50% of the general population are expected to manifest AMD. Our findings underscore the large proportion of AMD cases explained by genetics particularly for younger AMD patients. The five-category risk classification could be useful for therapeutic stratification or for diagnostic testing purposes once preventive treatment is available. KW - AMD KW - complement factor-H KW - grading system KW - United States KW - vitamin C KW - prevalence KW - variants KW - susceptibility KW - association KW - maculopathy KW - variant genotypes KW - genetic loci KW - macular degeneration KW - genetics of disease KW - eyes KW - cased-control studies KW - genotyping KW - human genetics Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131315 VL - 7 IS - 5 ER - TY - JOUR A1 - Kohlhase, Sandra A1 - Bogdanova, Natalia V. A1 - Schürmann, Peter A1 - Bermisheva, Marina A1 - Khusnutdinova, Elza A1 - Antonenkova, Natalia A1 - Park-Simon, Tjoung-Won A1 - Hillemanns, Peter A1 - Meyer, Andreas A1 - Christiansen, Hans A1 - Schindler, Detlev A1 - Dörk, Thilo T1 - Mutation Analysis of the ERCC4/FANCQ Gene in Hereditary Breast Cancer JF - PLOS ONE N2 - The ERCC4 protein forms a structure-specific endonuclease involved in the DNA damage response. Different cancer syndromes such as a subtype of Xeroderma pigmentosum, XPF, and recently a subtype of Fanconi Anemia, FA-Q, have been attributed to biallelic ERCC4 gene mutations. To investigate whether monoallelic ERCC4 gene defects play some role in the inherited component of breast cancer susceptibility, we sequenced the whole ERCC4 coding region and flanking untranslated portions in a series of 101 Byelorussian and German breast cancer patients selected for familial disease (set 1, n = 63) or for the presence of the rs1800067 risk haplotype (set 2, n = 38). This study confirmed six known and one novel exonic variants, including four missense substitutions but no truncating mutation. Missense substitution p.R415Q (rs1800067), a previously postulated breast cancer susceptibility allele, was subsequently screened for in a total of 3,698 breast cancer cases and 2,868 controls from Germany, Belarus or Russia. The Gln415 allele appeared protective against breast cancer in the German series, with the strongest effect for ductal histology (OR 0.67; 95%CI 0.49; 0.92; p = 0.003), but this association was not confirmed in the other two series, with the combined analysis yielding an overall Mantel-Haenszel OR of 0.94 (95% CI 0.81; 1.08). There was no significant effect of p.R415Q on breast cancer survival in the German patient series. The other three detected ERCC4 missense mutations included two known rare variants as well as a novel substitution, p.E17V, that we identified on a p.R415Q haplotype background. The p.E17V mutation is predicted to be probably damaging but was present in just one heterozygous patient. We conclude that the contribution of ERCC4/FANCQ coding mutations to hereditary breast cancer in Central and Eastern Europe is likely to be small. KW - ERCC1-XPF KW - susceptibility loci KW - ERCC4 KW - genome-wide association KW - fanconi-anemia KW - ATM gene KW - endonuclease KW - risk KW - requency KW - variants Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-117582 VL - 9 IS - 1 ER - TY - JOUR A1 - Wolf, Beat A1 - Kuonen, Pierre A1 - Dandekar, Thomas A1 - Atlan, David T1 - DNAseq workflow in a diagnostic context and an example of a user friendly implementation JF - BioMed Research International N2 - Over recent years next generation sequencing (NGS) technologies evolved from costly tools used by very few, to a much more accessible and economically viable technology. Through this recently gained popularity, its use-cases expanded from research environments into clinical settings. But the technical know-how and infrastructure required to analyze the data remain an obstacle for a wider adoption of this technology, especially in smaller laboratories. We present GensearchNGS, a commercial DNAseq software suite distributed by Phenosystems SA. The focus of GensearchNGS is the optimal usage of already existing infrastructure, while keeping its use simple. This is achieved through the integration of existing tools in a comprehensive software environment, as well as custom algorithms developed with the restrictions of limited infrastructures in mind. This includes the possibility to connect multiple computers to speed up computing intensive parts of the analysis such as sequence alignments. We present a typical DNAseq workflow for NGS data analysis and the approach GensearchNGS takes to implement it. The presented workflow goes from raw data quality control to the final variant report. This includes features such as gene panels and the integration of online databases, like Ensembl for annotations or Cafe Variome for variant sharing. KW - next generation sequencing KW - genome browser KW - mutation KW - algorithm KW - database KW - format KW - discovery KW - exome KW - variants KW - alignment Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-144527 IS - 403497 ER -