@article{ZahoGhirlandoAlfonsoetal.2015, author = {Zaho, Huaying and Ghirlando, Rodolfo and Alfonso, Carlos and Arisaka, Fumio and Attali, Ilan and Bain, David L. and Bakhtina, Marina M. and Becker, Donald F. and Bedwell, Gregory J. and Bekdemir, Ahmet and Besong, Tabot M. D. and Birck, Catherine and Brautigam, Chad A. and Brennerman, William and Byron, Olwyn and Bzowska, Agnieszka and Chaires, Jonathan B. and Chaton, Catherine T. and Coelfen, Helmbut and Connaghan, Keith D. and Crowley, Kimberly A. and Curth, Ute and Daviter, Tina and Dean, William L. and Diez, Ana I. and Ebel, Christine and Eckert, Debra M. and Eisele, Leslie E. and Eisenstein, Edward and England, Patrick and Escalante, Carlos and Fagan, Jeffrey A. and Fairman, Robert and Finn, Ron M. and Fischle, Wolfgang and Garcia de la Torre, Jose and Gor, Jayesh and Gustafsson, Henning and Hall, Damien and Harding, Stephen E. and Hernandez Cifre, Jose G. and Herr, Andrew B. and Howell, Elizabeth E. and Isaac, Richard S. and Jao, Shu-Chuan and Jose, Davis and Kim, Soon-Jong and Kokona, Bashkim and Kornblatt, Jack A. and Kosek, Dalibor and Krayukhina, Elena and Krzizike, Daniel and Kusznir, Eric A. and Kwon, Hyewon and Larson, Adam and Laue, Thomas M. and Le Roy, Aline and Leech, Andrew P. and Lilie, Hauke and Luger, Karolin and Luque-Ortega, Juan R. and Ma, Jia and May, Carrie A. and Maynard, Ernest L. and Modrak-Wojcik, Anna and Mok, Yee-Foong and M{\"u}cke, Norbert and Nagel-Steger, Luitgard and Narlikar, Geeta J. and Noda, Masanori and Nourse, Amanda and Obsil, Thomas and Park, Chad K and Park, Jin-Ku and Pawelek, Peter D. and Perdue, Erby E. and Perkins, Stephen J. and Perugini, Matthew A. and Peterson, Craig L. and Peverelli, Martin G. and Piszczek, Grzegorz and Prag, Gali and Prevelige, Peter E. and Raynal, Bertrand D. E. and Rezabkova, Lenka and Richter, Klaus and Ringel, Alison E. and Rosenberg, Rose and Rowe, Arthur J. and Rufer, Arne C. and Scott, David J. and Seravalli, Javier G. and Solovyova, Alexandra S. and Song, Renjie and Staunton, David and Stoddard, Caitlin and Stott, Katherine and Strauss, Holder M. and Streicher, Werner W. and Sumida, John P. and Swygert, Sarah G. and Szczepanowski, Roman H. and Tessmer, Ingrid and Toth, Ronald T. and Tripathy, Ashutosh and Uchiyama, Susumu and Uebel, Stephan F. W. and Unzai, Satoru and Gruber, Anna Vitlin and von Hippel, Peter H. and Wandrey, Christine and Wang, Szu-Huan and Weitzel, Steven E and Wielgus-Kutrowska, Beata and Wolberger, Cynthia and Wolff, Martin and Wright, Edward and Wu, Yu-Sung and Wubben, Jacinta M. and Schuck, Peter}, title = {A Multilaboratory Comparison of Calibration Accuracy and the Performance of External References in Analytical Ultracentrifugation}, series = {PLoS ONE}, volume = {10}, journal = {PLoS ONE}, number = {5}, doi = {10.1371/journal.pone.0126420}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151903}, pages = {e0126420}, year = {2015}, abstract = {Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304\(\pm\)0.188) S (4.4\%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of \(\pm\)0.030 S (0.7\%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies.}, language = {en} } @article{MarenholzEsparzaGordilloRueschendorfetal.2015, author = {Marenholz, Ingo and Esparza-Gordillo, Jorge and R{\"u}schendorf, Franz and Bauerfeind, Anja and Strachan, David P. and Spycher, Ben D. and Baurecht, Hansj{\"o}rg and Magaritte-Jeannin, Patricia and S{\"a}{\"a}f, Annika and Kerkhof, Marjan and Ege, Markus and Baltic, Svetlana and Matheson, Melanie C. and Li, Jin and Michel, Sven and Ang, Wei Q. and McArdle, Wendy and Arnold, Andreas and Homuth, Georg and Demenais, Florence and Bouzigon, Emmanuelle and S{\"o}derh{\"a}ll, Cilla and Pershagen, G{\"o}ran and de Jongste, Johan C. and Postma, Dirkje S. and Braun-Fahrl{\"a}nder, Charlotte and Horak, Elisabeth and Ogorodova, Ludmila M. and Puzyrev, Valery P. and Bragina, Elena Yu and Hudson, Thomas J. and Morin, Charles and Duffy, David L. and Marks, Guy B. and Robertson, Colin F. and Montgomery, Grant W. and Musk, Bill and Thompson, Philip J. and Martin, Nicholas G. and James, Alan and Sleiman, Patrick and Toskala, Elina and Rodriguez, Elke and F{\"o}lster-Holst, Regina and Franke, Andre and Lieb, Wolfgang and Gieger, Christian and Heinzmann, Andrea and Rietschel, Ernst and Keil, Thomas and Cichon, Sven and N{\"o}then, Markus M. and Pennel, Craig E. and Sly, Peter D. and Schmidt, Carsten O. and Matanovic, Anja and Schneider, Valentin and Heinig, Matthias and H{\"u}bner, Norbert and Holt, Patrick G. and Lau, Susanne and Kabesch, Michael and Weidinger, Stefan and Hakonarson, Hakon and Ferreira, Manuel A. R. and Laprise, Catherine and Freidin, Maxim B. and Genuneit, Jon and Koppelman, Gerard H. and Mel{\´e}n, Erik and Dizier, Marie-H{\´e}l{\`e}ne and Henderson, A. John and Lee, Young Ae}, title = {Meta-analysis identifies seven susceptibility loci involved in the atopic march}, series = {Nature Communications}, volume = {6}, journal = {Nature Communications}, number = {8804}, doi = {10.1038/ncomms9804}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-139835}, year = {2015}, abstract = {Eczema often precedes the development of asthma in a disease course called the 'atopic march'. To unravel the genes underlying this characteristic pattern of allergic disease, we conduct a multi-stage genome-wide association study on infantile eczema followed by childhood asthma in 12 populations including 2,428 cases and 17,034 controls. Here we report two novel loci specific for the combined eczema plus asthma phenotype, which are associated with allergic disease for the first time; rs9357733 located in EFHC1 on chromosome 6p12.3 (OR 1.27; P = 2.1 x 10(-8)) and rs993226 between TMTC2 and SLC6A15 on chromosome 12q21.3 (OR 1.58; P = 5.3 x 10(-9)). Additional susceptibility loci identified at genome-wide significance are FLG (1q21.3), IL4/KIF3A (5q31.1), AP5B1/OVOL1 (11q13.1), C11orf30/LRRC32 (11q13.5) and IKZF3 (17q21). We show that predominantly eczema loci increase the risk for the atopic march. Our findings suggest that eczema may play an important role in the development of asthma after eczema.}, language = {en} } @article{PollittPoulterGitzetal.2014, author = {Pollitt, Alice Y. and Poulter, Natalie S. and Gitz, Eelo and Navarro-Nu{\~n}ez, Leyre and Wang, Ying-Jie and Hughes, Craig E. and Thomas, Steven G. and Nieswandt, Bernhard and Douglas, Michael R. and Owen, Dylan M. and Jackson, David G. and Dustin, Michael L. and Watson, Steve P.}, title = {Syk and Src Family Kinases Regulate C-type Lectin Receptor 2 (CLEC-2)-mediated Clustering of Podoplanin and Platelet Adhesion to Lymphatic Endothelial Cells*}, series = {The Journal of Biological Chemistry}, volume = {289}, journal = {The Journal of Biological Chemistry}, number = {52}, doi = {10.1074/jbc.M114.584284}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-120770}, pages = {35695-710}, year = {2014}, abstract = {The interaction of CLEC-2 on platelets with Podoplanin on lymphatic endothelial cells initiates platelet signalling events that are necessary for prevention of blood-lymph mixing during development. In the present study, we show that CLEC-2 signalling via Src family and Syk tyrosine kinases promotes platelet adhesion to primary mouse lymphatic endothelial cells at low shear. Using supported lipid bilayers containing mobile Podoplanin, we further show that activation of Src and Syk in platelets promotes clustering of CLEC-2 and Podoplanin. Clusters of CLEC-2-bound Podoplanin migrate rapidly to the centre of the platelet to form a single structure. Fluorescence life-time imaging demonstrates that molecules within these clusters are within 10 nm of one another and that the clusters are disrupted by inhibition of Src and Syk family kinases. CLEC-2 clusters are also seen in platelets adhered to immobilised Podoplanin using direct stochastic optical reconstruction microscopy (dSTORM). These findings provide mechanistic insight by which CLEC-2 signalling promotes adhesion to Podoplanin and regulation of Podoplanin signalling thereby contributing to lymphatic vasculature development.}, language = {en} } @article{HarrisonClausJiangetal.2013, author = {Harrison, Odile B. and Claus, Heike and Jiang, Ying and Bennett, Julia S. and Bratcher, Holly B. and Jolley, Keith A. and Corton, Craig and Care, Rory and Poolman, Jan T. and Zollinger, Wendell D. and Frasch, Carl E. and Stephens, David S. and Feavers, Ian and Frosch, Matthias and Parkhill, Julian and Vogel, Ulrich and Quail, Michael A. and Bentley, Stephen D. and Maiden, Martin C. J.}, title = {Description and Nomenclature of Neisseria meningitidis Capsule Locus}, series = {Emerging Infectious Diseases}, volume = {19}, journal = {Emerging Infectious Diseases}, number = {4}, doi = {10.3201/eid1904.111799}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131703}, pages = {566-573}, year = {2013}, abstract = {Pathogenic Neisseria meningitidis isolates contain a polysaccharide capsule that is the main virulence determinant for this bacterium. Thirteen capsular polysaccharides have been described, and nuclear magnetic resonance spectroscopy has enabled determination of the structure of capsular polysaccharides responsible for serogroup specificity. Molecular mechanisms involved in N. meningitidis capsule biosynthesis have also been identified, and genes involved in this process and in cell surface translocation are clustered at a single chromosomal locus termed cps. The use of multiple names for some of the genes involved in capsule synthesis, combined with the need for rapid diagnosis of serogroups commonly associated with invasive meningococcal disease, prompted a requirement for a consistent approach to the nomenclature of capsule genes. In this report, a comprehensive description of all N. meningitidis serogroups is provided, along with a proposed nomenclature, which was presented at the 2012 XVIIIth International Pathogenic Neisseria Conference.}, language = {en} } @article{BreuerMattheisenFranketal.2018, author = {Breuer, Ren{\´e} and Mattheisen, Manuel and Frank, Josef and Krumm, Bertram and Treutlein, Jens and Kassem, Layla and Strohmaier, Jana and Herms, Stefan and M{\"u}hleisen, Thomas W. and Degenhardt, Franziska and Cichon, Sven and N{\"o}then, Markus M. and Karypis, George and Kelsoe, John and Greenwood, Tiffany and Nievergelt, Caroline and Shilling, Paul and Shekhtman, Tatyana and Edenberg, Howard and Craig, David and Szelinger, Szabolcs and Nurnberger, John and Gershon, Elliot and Alliey-Rodriguez, Ney and Zandi, Peter and Goes, Fernando and Schork, Nicholas and Smith, Erin and Koller, Daniel and Zhang, Peng and Badner, Judith and Berrettini, Wade and Bloss, Cinnamon and Byerley, William and Coryell, William and Foroud, Tatiana and Guo, Yirin and Hipolito, Maria and Keating, Brendan and Lawson, William and Liu, Chunyu and Mahon, Pamela and McInnis, Melvin and Murray, Sarah and Nwulia, Evaristus and Potash, James and Rice, John and Scheftner, William and Z{\"o}llner, Sebastian and McMahon, Francis J. and Rietschel, Marcella and Schulze, Thomas G.}, title = {Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics}, series = {International Journal of Bipolar Disorders}, volume = {6}, journal = {International Journal of Bipolar Disorders}, doi = {10.1186/s40345-018-0132-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-220509}, year = {2018}, abstract = {Background Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype-phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market research, to identify frequent and characteristic genotype patterns showing strong associations to phenotype clusters. We applied this strategy to three independent GWAS datasets from 2835 phenotypically characterized patients with BD. In a discovery step, 20,882 candidate association rules were extracted. Results Two of these rules—one associated with eating disorder and the other with anxiety—remained significant in an independent dataset after robust correction for multiple testing. Both showed considerable effect sizes (odds ratio ~ 3.4 and 3.0, respectively) and support previously reported molecular biological findings. Conclusion Our approach detected novel specific genotype-phenotype relationships in BD that were missed by standard analyses like GWAS. While we developed and applied our method within the context of BD gene discovery, it may facilitate identifying highly specific genotype-phenotype relationships in subsets of genome-wide data sets of other complex phenotype with similar epidemiological properties and challenges to gene discovery efforts.}, language = {en} } @article{DumontWeberLassalleJolyBeauparlantetal.2022, author = {Dumont, Martine and Weber-Lassalle, Nana and Joly-Beauparlant, Charles and Ernst, Corinna and Droit, Arnaud and Feng, Bing-Jian and Dubois, St{\´e}phane and Collin-Deschesnes, Annie-Claude and Soucy, Penny and Vall{\´e}e, Maxime and Fournier, Fr{\´e}d{\´e}ric and Lema{\c{c}}on, Audrey and Adank, Muriel A. and Allen, Jamie and Altm{\"u}ller, Janine and Arnold, Norbert and Ausems, Margreet G. E. M. and Berutti, Riccardo and Bolla, Manjeet K. and Bull, Shelley and Carvalho, Sara and Cornelissen, Sten and Dufault, Michael R. and Dunning, Alison M. and Engel, Christoph and Gehrig, Andrea and Geurts-Giele, Willemina R. R. and Gieger, Christian and Green, Jessica and Hackmann, Karl and Helmy, Mohamed and Hentschel, Julia and Hogervorst, Frans B. L. and Hollestelle, Antoinette and Hooning, Maartje J. and Horv{\´a}th, Judit and Ikram, M. Arfan and Kaulfuß, Silke and Keeman, Renske and Kuang, Da and Luccarini, Craig and Maier, Wolfgang and Martens, John W. M. and Niederacher, Dieter and N{\"u}rnberg, Peter and Ott, Claus-Eric and Peters, Annette and Pharoah, Paul D. P. and Ramirez, Alfredo and Ramser, Juliane and Riedel-Heller, Steffi and Schmidt, Gunnar and Shah, Mitul and Scherer, Martin and St{\"a}bler, Antje and Strom, Tim M. and Sutter, Christian and Thiele, Holger and van Asperen, Christi J. and van der Kolk, Lizet and van der Luijt, Rob B. and Volk, Alexander E. and Wagner, Michael and Waisfisz, Quinten and Wang, Qin and Wang-Gohrke, Shan and Weber, Bernhard H. F. and Devilee, Peter and Tavtigian, Sean and Bader, Gary D. and Meindl, Alfons and Goldgar, David E. and Andrulis, Irene L. and Schmutzler, Rita K. and Easton, Douglas F. and Schmidt, Marjanka K. and Hahnen, Eric and Simard, Jacques}, title = {Uncovering the contribution of moderate-penetrance susceptibility genes to breast cancer by whole-exome sequencing and targeted enrichment sequencing of candidate genes in women of European ancestry}, series = {Cancers}, volume = {14}, journal = {Cancers}, number = {14}, issn = {2072-6694}, doi = {10.3390/cancers14143363}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-281768}, year = {2022}, abstract = {Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes.}, language = {en} } @article{DeebGiordanoRossietal.2016, author = {Deeb, Wissam and Giordano, James J. and Rossi, Peter J. and Mogilner, Alon Y. and Gunduz, Aysegul and Judy, Jack W. and Klassen, Bryan T. and Butson, Christopher R. and Van Horne, Craig and Deny, Damiaan and Dougherty, Darin D. and Rowell, David and Gerhardt, Greg A. and Smith, Gwenn S. and Ponce, Francisco A. and Walker, Harrison C. and Bronte-Stewart, Helen M. and Mayberg, Helen S. and Chizeck, Howard J. and Langevin, Jean-Philippe and Volkmann, Jens and Ostrem, Jill L. and Shute, Jonathan B. and Jimenez-Shahed, Joohi and Foote, Kelly D. and Wagle Shukla, Aparna and Rossi, Marvin A. and Oh, Michael and Pourfar, Michael and Rosenberg, Paul B. and Silburn, Peter A. and de Hemptine, Coralie and Starr, Philip A. and Denison, Timothy and Akbar, Umer and Grill, Warren M. and Okun, Michael S.}, title = {Proceedings of the Fourth Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies}, series = {Frontiers in Integrative Neuroscience}, volume = {10}, journal = {Frontiers in Integrative Neuroscience}, number = {38}, doi = {10.3389/fnint.2016.00038}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168493}, year = {2016}, abstract = {This paper provides an overview of current progress in the technological advances and the use of deep brain stimulation (DBS) to treat neurological and neuropsychiatric disorders, as presented by participants of the Fourth Annual DBS Think Tank, which was convened in March 2016 in conjunction with the Center for Movement Disorders and Neurorestoration at the University of Florida, Gainesveille FL, USA. The Think Tank discussions first focused on policy and advocacy in DBS research and clinical practice, formation of registries, and issues involving the use of DBS in the treatment of Tourette Syndrome. Next, advances in the use of neuroimaging and electrochemical markers to enhance DBS specificity were addressed. Updates on ongoing use and developments of DBS for the treatment of Parkinson's disease, essential tremor, Alzheimer's disease, depression, post-traumatic stress disorder, obesity, addiction were presented, and progress toward innovation(s) in closed-loop applications were discussed. Each section of these proceedings provides updates and highlights of new information as presented at this year's international Think Tank, with a view toward current and near future advancement of the field.}, language = {en} }