@article{DollVonaSchnappetal.2020, author = {Doll, Julia and Vona, Barbara and Schnapp, Linda and R{\"u}schendorf, Franz and Khan, Imran and Khan, Saadullah and Muhammad, Noor and Alam Khan, Sher and Nawaz, Hamed and Khan, Ajmal and Ahmad, Naseer and Kolb, Susanne M. and K{\"u}hlewein, Laura and Labonne, Jonathan D. J. and Layman, Lawrence C. and Hofrichter, Michaela A. H. and R{\"o}der, Tabea and Dittrich, Marcus and M{\"u}ller, Tobias and Graves, Tyler D. and Kong, Il-Keun and Nanda, Indrajit and Kim, Hyung-Goo and Haaf, Thomas}, title = {Genetic Spectrum of Syndromic and Non-Syndromic Hearing Loss in Pakistani Families}, series = {Genes}, volume = {11}, journal = {Genes}, number = {11}, issn = {2073-4425}, doi = {10.3390/genes11111329}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-219293}, year = {2020}, abstract = {The current molecular genetic diagnostic rates for hereditary hearing loss (HL) vary considerably according to the population background. Pakistan and other countries with high rates of consanguineous marriages have served as a unique resource for studying rare and novel forms of recessive HL. A combined exome sequencing, bioinformatics analysis, and gene mapping approach for 21 consanguineous Pakistani families revealed 13 pathogenic or likely pathogenic variants in the genes GJB2, MYO7A, FGF3, CDC14A, SLITRK6, CDH23, and MYO15A, with an overall resolve rate of 61.9\%. GJB2 and MYO7A were the most frequently involved genes in this cohort. All the identified variants were either homozygous or compound heterozygous, with two of them not previously described in the literature (15.4\%). Overall, seven missense variants (53.8\%), three nonsense variants (23.1\%), two frameshift variants (15.4\%), and one splice-site variant (7.7\%) were observed. Syndromic HL was identified in five (23.8\%) of the 21 families studied. This study reflects the extreme genetic heterogeneity observed in HL and expands the spectrum of variants in deafness-associated genes.}, language = {en} } @article{DoerkPeterlongoMannermaaetal.2019, author = {D{\"o}rk, Thilo and Peterlongo, Peter and Mannermaa, Arto and Bolla, Manjeet K. and Wang, Qin and Dennis, Joe and Ahearn, Thomas and Andrulis, Irene L. and Anton-Culver, Hoda and Arndt, Volker and Aronson, Kristan J. and Augustinsson, Annelie and Beane Freeman, Laura E. and Beckmann, Matthias W. and Beeghly-Fadiel, Alicia and Behrens, Sabine and Bermisheva, Marina and Blomqvist, Carl and Bogdanova, Natalia V. and Bojesen, Stig E. and Brauch, Hiltrud and Brenner, Hermann and Burwinkel, Barbara and Canzian, Federico and Chan, Tsun L. and Chang-Claude, Jenny and Chanock, Stephen J. and Choi, Ji-Yeob and Christiansen, Hans and Clarke, Christine L. and Couch, Fergus J. and Czene, Kamila and Daly, Mary B. and dos-Santos-Silva, Isabel and Dwek, Miriam and Eccles, Diana M. and Ekici, Arif B. and Eriksson, Mikael and Evans, D. Gareth and Fasching, Peter A. and Figueroa, Jonine and Flyger, Henrik and Fritschi, Lin and Gabrielson, Marike and Gago-Dominguez, Manuela and Gao, Chi and Gapstur, Susan M. and Garc{\´i}a-Closas, Montserrat and Garc{\´i}a-S{\´a}enz, Jos{\´e} A. and Gaudet, Mia M. and Giles, Graham G. and Goldberg, Mark S. and Goldgar, David E. and Guen{\´e}l, Pascal and Haeberle, Lothar and Haimann, Christopher A. and H{\aa}kansson, Niclas and Hall, Per and Hamann, Ute and Hartman, Mikael and Hauke, Jan and Hein, Alexander and Hillemanns, Peter and Hogervorst, Frans B. L. and Hooning, Maartje J. and Hopper, John L. and Howell, Tony and Huo, Dezheng and Ito, Hidemi and Iwasaki, Motoki and Jakubowska, Anna and Janni, Wolfgang and John, Esther M. and Jung, Audrey and Kaaks, Rudolf and Kang, Daehee and Kapoor, Pooja Middha and Khusnutdinova, Elza and Kim, Sung-Won and Kitahara, Cari M. and Koutros, Stella and Kraft, Peter and Kristensen, Vessela N. and Kwong, Ava and Lambrechts, Diether and Le Marchand, Loic and Li, Jingmei and Lindstr{\"o}m, Sara and Linet, Martha and Lo, Wing-Yee and Long, Jirong and Lophatananon, Artitaya and Lubiński, Jan and Manoochehri, Mehdi and Manoukian, Siranoush and Margolin, Sara and Martinez, Elena and Matsuo, Keitaro and Mavroudis, Dimitris and Meindl, Alfons and Menon, Usha and Milne, Roger L. and Mohd Taib, Nur Aishah and Muir, Kenneth and Mulligan, Anna Marie and Neuhausen, Susan L. and Nevanlinna, Heli and Neven, Patrick and Newman, William G. and Offit, Kenneth and Olopade, Olufunmilayo I. and Olshan, Andrew F. and Olson, Janet E. and Olsson, H{\aa}kan and Park, Sue K. and Park-Simon, Tjoung-Won and Peto, Julian and Plaseska-Karanfilska, Dijana and Pohl-Rescigno, Esther and Presneau, Nadege and Rack, Brigitte and Radice, Paolo and Rashid, Muhammad U. and Rennert, Gad and Rennert, Hedy S. and Romero, Atocha and Ruebner, Matthias and Saloustros, Emmanouil and Schmidt, Marjanka K. and Schmutzler, Rita K. and Schneider, Michael O. and Schoemaker, Minouk J. and Scott, Christopher and Shen, Chen-Yang and Shu, Xiao-Ou and Simard, Jaques and Slager, Susan and Smichkoska, Snezhana and Southey, Melissa C. and Spinelli, John J. and Stone, Jennifer and Surowy, Harald and Swerdlow, Anthony J. and Tamimi, Rulla M. and Tapper, William J. and Teo, Soo H. and Terry, Mary Beth and Toland, Amanda E. and Tollenaar, Rob A. E. M. and Torres, Diana and Torres-Mej{\´i}a, Gabriela and Troester, Melissa A. and Truong, Th{\´e}r{\`e}se and Tsugane, Shoichiro and Untch, Michael and Vachon, Celine M. and van den Ouweland, Ans M. W. and van Veen, Elke M. and Vijai, Joseph and Wendt, Camilla and Wolk, Alicja and Yu, Jyh-Cherng and Zheng, Wei and Ziogas, Argyrios and Ziv, Elad and Dunnig, Alison and Pharaoh, Paul D. P. and Schindler, Detlev and Devilee, Peter and Easton, Douglas F.}, title = {Two truncating variants in FANCC and breast cancer risk}, series = {Scientific Reports}, volume = {9}, journal = {Scientific Reports}, organization = {ABCTB Investigators, NBCS Collaborators}, doi = {10.1038/s41598-019-48804-y}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222838}, year = {2019}, abstract = {Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95\%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.}, language = {en} } @article{LuBoswellBoswelletal.2019, author = {Lu, Yuan and Boswell, Wiliam and Boswell, Mikki and Klotz, Barbara and Kneitz, Susanne and Regneri, Janine and Savage, Markita and Mendoza, Cristina and Postlethwait, John and Warren, Wesley C. and Schartl, Manfred and Walter, Ronald B.}, title = {Application of the Transcriptional Disease Signature (TDSs) to Screen Melanoma-Effective Compounds in a Small Fish Model}, series = {Scientific Reports}, volume = {9}, journal = {Scientific Reports}, doi = {10.1038/s41598-018-36656-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237322}, year = {2019}, abstract = {Cell culture and protein target-based compound screening strategies, though broadly utilized in selecting candidate compounds, often fail to eliminate candidate compounds with non-target effects and/or safety concerns until late in the drug developmental process. Phenotype screening using intact research animals is attractive because it can help identify small molecule candidate compounds that have a high probability of proceeding to clinical use. Most FDA approved, first-in-class small molecules were identified from phenotypic screening. However, phenotypic screening using rodent models is labor intensive, low-throughput, and very expensive. As a novel alternative for small molecule screening, we have been developing gene expression disease profiles, termed the Transcriptional Disease Signature (TDS), as readout of small molecule screens for therapeutic molecules. In this concept, compounds that can reverse, or otherwise affect known disease-associated gene expression patterns in whole animals may be rapidly identified for more detailed downstream direct testing of their efficacy and mode of action. To establish proof of concept for this screening strategy, we employed a transgenic strain of a small aquarium fish, medaka (Oryzias latipes), that overexpresses the malignant melanoma driver gene xmrk, a mutant egfr gene, that is driven by a pigment cell-specific mitf promoter. In this model, melanoma develops with 100\% penetrance. Using the transgenic medaka malignant melanoma model, we established a screening system that employs the NanoString nCounter platform to quantify gene expression within custom sets of TDS gene targets that we had previously shown to exhibit differential transcription among xmrk-transgenic and wild-type medaka. Compound-modulated gene expression was identified using an internet-accessible custom-built data processing pipeline. The effect of a given drug on the entire TDS profile was estimated by comparing compound-modulated genes in the TDS using an activation Z-score and Kolmogorov-Smirnov statistics. TDS gene probes were designed that target common signaling pathways that include proliferation, development, toxicity, immune function, metabolism and detoxification. These pathways may be utilized to evaluate candidate compounds for potential favorable, or unfavorable, effects on melanoma-associated gene expression. Here we present the logistics of using medaka to screen compounds, as well as, the development of a user-friendly NanoString data analysis pipeline to support feasibility of this novel TDS drug-screening strategy.}, language = {en} }