@article{GrassmannFritscheKeilhaueretal.2012,
  author    = {Grassmann, Felix and Fritsche, Lars G. and Keilhauer, Claudia N. and Heid, Iris M. and Weber, Bernhard H. F.},
  title     = {Modelling the Genetic Risk in Age-Related Macular Degeneration},
  series = {PLoS One},
  volume    = {7},
  journal   = {PLoS One},
  number    = {5},
  doi       = {10.1371/journal.pone.0037979},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131315},
  pages     = {e37979},
  year      = {2012},
  abstract  = {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.},
  language  = {en}
}
@article{GassenBrechtefeldSchandryetal.2012,
  author    = {Gassen, Alwine and Brechtefeld, Doris and Schandry, Niklas and Arteaga-Salas, J. Manuel and Israel, Lars and Imhof, Axel and Janzen, Christian J.},
  title     = {DOT1A-dependent H3K76 methylation is required for replication regulation in Trypanosoma brucei},
  series = {Nucleic Acids Research},
  volume    = {40},
  journal   = {Nucleic Acids Research},
  number    = {20},
  doi       = {10.1093/nar/gks801},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131449},
  pages     = {10302 - 10311},
  year      = {2012},
  abstract  = {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.},
  language  = {en}
}
@article{KohlhaseBogdanovaSchuermannetal.2014,
  author    = {Kohlhase, Sandra and Bogdanova, Natalia V. and Sch{\"u}rmann, Peter and Bermisheva, Marina and Khusnutdinova, Elza and Antonenkova, Natalia and Park-Simon, Tjoung-Won and Hillemanns, Peter and Meyer, Andreas and Christiansen, Hans and Schindler, Detlev and D{\"o}rk, Thilo},
  title     = {Mutation Analysis of the ERCC4/FANCQ Gene in Hereditary Breast Cancer},
  series = {PLOS ONE},
  volume    = {9},
  journal   = {PLOS ONE},
  number    = {1},
  doi       = {10.1371/journal.pone.0085334},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117582},
  pages     = {e85334},
  year      = {2014},
  abstract  = {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.},
  language  = {en}
}
@article{WolfKuonenDandekaretal.2015,
  author    = {Wolf, Beat and Kuonen, Pierre and Dandekar, Thomas and Atlan, David},
  title     = {DNAseq workflow in a diagnostic context and an example of a user friendly implementation},
  series = {BioMed Research International},
  journal   = {BioMed Research International},
  number    = {403497},
  doi       = {10.1155/2015/403497},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-144527},
  year      = {2015},
  abstract  = {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.},
  language  = {en}
}
@article{BleinBardelDanjeanetal.2015,
  author    = {Blein, Sophie and Bardel, Claire and Danjean, Vincent and McGuffog, Lesley and Healay, Sue and Barrowdale, Daniel and Lee, Andrew and Dennis, Joe and Kuchenbaecker, Karoline B. and Soucy, Penny and Terry, Mary Beth and Chung, Wendy K. and Goldgar, David E. and Buys, Saundra S. and Janavicius, Ramunas and Tihomirova, Laima and Tung, Nadine and Dorfling, Cecilia M. and van Rensburg, Elizabeth J. and Neuhausen, Susan L. and Ding, Yuan Chun and Gerdes, Anne-Marie and Ejlertsen, Bent and Nielsen, Finn C. and Hansen, Thomas V. O. and Osorio, Ana and Benitez, Javier and Andreas Conejero, Raquel and Segota, Ena and Weitzel, Jeffrey N. and Thelander, Margo and Peterlongo, Paolo and Radice, Paolo and Pensotti, Valeria and Dolcetti, Riccardo and Bonanni, Bernardo and Peissel, Bernard and Zaffaroni, Daniela and Scuvera, Giulietta and Manoukian, Siranoush and Varesco, Liliana and Capone, Gabriele L. and Papi, Laura and Ottini, Laura and Yannoukakos, Drakoulis and Konstantopoulou, Irene and Garber, Judy and Hamann, Ute and Donaldson, Alan and Brady, Angela and Brewer, Carole and Foo, Claire and Evans, D. Gareth and Frost, Debra and Eccles, Diana and Douglas, Fiona and Cook, Jackie and Adlard, Julian and Barwell, Julian and Walker, Lisa and Izatt, Louise and Side, Lucy E. and Kennedy, M. John and Tischkowitz, Marc and Rogers, Mark T. and Porteous, Mary E. and Morrison, Patrick J. and Platte, Radka and Eeles, Ros and Davidson, Rosemarie and Hodgson, Shirley and Cole, Trevor and Godwin, Andrew K and Isaacs, Claudine and Claes, Kathleen and De Leeneer, Kim and Meindl, Alfons and Gehrig, Andrea and Wappenschmidt, Barbara and Sutter, Christian and Engel, Christoph and Niederacher, Dieter and Steinemann, Doris and Plendl, Hansjoerg and Kast, Karin and Rhiem, Kerstin and Ditsch, Nina and Arnold, Norbert and Varon-Mateeva, Raymonda and Schmutzler, Rita K. and Preisler-Adams, Sabine and Markov, Nadja Bogdanova and Wang-Gohrke, Shan and de Pauw, Antoine and Lefol, Cedrick and Lasset, Christine and Leroux, Dominique and Rouleau, Etienne and Damiola, Francesca and Dreyfus, Helene and Barjhoux, Laure and Golmard, Lisa and Uhrhammer, Nancy and Bonadona, Valerie and Sornin, Valerie and Bignon, Yves-Jean and Carter, Jonathan and Van Le, Linda and Piedmonte, Marion and DiSilvestro, Paul A. and de la Hoya, Miguel and Caldes, Trinidad and Nevanlinna, Heli and Aittom{\"a}ki, Kristiina and Jager, Agnes and van den Ouweland, Ans M. W. and Kets, Carolien M. and Aalfs, Cora M. and van Leeuwen, Flora E. and Hogervorst, Frans B. L. and Meijers-Heijboer, Hanne E. J. and Oosterwijk, Jan C. and van Roozendaal, Kees E. P. and Rookus, Matti A. and Devilee, Peter and van der Luijt, Rob B. and Olah, Edith and Diez, Orland and Teule, Alex and Lazaro, Conxi and Blanco, Ignacio and Del Valle, Jesus and Jakubowska, Anna and Sukiennicki, Grzegorz and Gronwald, Jacek and Spurdle, Amanda B. and Foulkes, William and Olswold, Curtis and Lindor, Noralene M. and Pankratz, Vernon S. and Szabo, Csilla I. and Lincoln, Anne and Jacobs, Lauren and Corines, Marina and Robson, Mark and Vijai, Joseph and Berger, Andreas and Fink-Retter, Anneliese and Singer, Christian F. and Rappaport, Christine and Geschwantler Kaulich, Daphne and Pfeiler, Georg and Tea, Muy-Kheng and Greene, Mark H. and Mai, Phuong L. and Rennert, Gad and Imyanitov, Evgeny N. and Mulligan, Anna Marie and Glendon, Gord and Andrulis, Irene L. and Tchatchou, Andrine and Toland, Amanda Ewart and Pedersen, Inge Sokilde and Thomassen, Mads and Kruse, Torben A. and Jensen, Uffe Birk and Caligo, Maria A. and Friedman, Eitan and Zidan, Jamal and Laitman, Yael and Lindblom, Annika and Melin, Beatrice and Arver, Brita and Loman, Niklas and Rosenquist, Richard and Olopade, Olufunmilayo I. and Nussbaum, Robert L. and Ramus, Susan J. and Nathanson, Katherine L. and Domchek, Susan M. and Rebbeck, Timothy R. and Arun, Banu K. and Mitchell, Gillian and Karlan, Bethy Y. and Lester, Jenny and Orsulic, Sandra and Stoppa-Lyonnet, Dominique and Thomas, Gilles and Simard, Jacques and Couch, Fergus J. and Offit, Kenenth and Easton, Douglas F. and Chenevix-Trench, Georgia and Antoniou, Antonis C. and Mazoyer, Sylvie and Phelan, Catherine M. and Sinilnikova, Olga M. and Cox, David G.},
  title     = {An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers},
  series = {Breast Cancer Research},
  volume    = {17},
  journal   = {Breast Cancer Research},
  number    = {61},
  doi       = {10.1186/s13058-015-0567-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-145458},
  year      = {2015},
  abstract  = {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.},
  language  = {en}
}