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1. Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores

Author: Marco Montagna, Mark E. Robson, Daniel Barrowdale, Mark H. Greene, Adrià López-Fernández, Miquel Angel Pujana, Paul Brennan, Lucy Side, Jackie Cook, Munaza Ahmed, Christi J. van Asperen, Katherine L. Nathanson, Ian G. Campbell, Shan Wang-Gohrke, Gero Kramer, Debra Frost, Noura Mebirouk, Angel Izquierdo, Conxi Lázaro, Douglas F. Easton, Joe Dennis, Kenneth Offit, Esther Darder, Stefania Tommasi, Angela Toss, Brca, Virginia Valentini, Tu Nguyen-Dumont, Charlotte Kvist Lautrup, Manuel R. Teixeira, Mads Thomassen, Xin Yang, Susan M. Domchek, Valentina Silvestri, Paolo Radice, Marta Venturelli, Joseph Vijai, Pedro Pinto, Caroline Pottinger, Karina Rønlund, Lone Kroeldrup, Paul A. James, Alan Donaldson, Rita K. Schmutzler, Muriel Belotti, Kim De Leeneer, Lesley McGuffog, Susan L. Neuhausen, Amanda E. Toland, Siranoush Manoukian, Vishakha Tripathi, Adalgeir Arason, Pascaline Berthet, Linda Steele, Judit Horvath, Gord Glendon, Goska Leslie, Eva Gross, Anna Coppa, D. J. Gallagher, Payal D. Shah, Hebon Investigators, Alfons Meindl, Orland Diez, Irene L. Andrulis, Angela F. Brady, Giuseppe Damante, Paolo Peterlongo, Ana Sánchez de Abajo, Maria A. Caligo, Alison H. Trainer, Sophie Giraud, Saba Sharif, Christian Sutter, Johanna Rantala, Javier Benitez, Mark T. Rogers, kConFab Investigators, Lídia Feliubadaló, Inge Søkilde Pedersen, Annabeth Høgh Petersen, Jesús del Valle, Agostino Bucalo, Andrea Gehrig, Megan N. Frone, Judith Balmaña, Marc Tischkowitz, Thomas Hansen, Joan Brunet, Ines Zanna, Torben A Kruse, Carole Brewer, Bernard Peissel, Helen Gregory, Mary Porteous, Rosa B. Barkardottir, Andreas Rump, Ros Eeles, Anna Whaite, Saundra S. Buys, Fabienne Lesueur, Lisa Walker, Laura Ottini, Louise Izatt, Antonis C. Antoniou, Georgia Chenevix-Trench, Susanne E. Boonen, Hayley Cassingham, Jacques Simard, Christoph Engel, Patrick J. Morrison, Lise Lotte Christensen, Giulia Cini, Alvaro N.A. Monteiro, Kathleen Claes, Jacqueline Eason, Zoltan Matrai, Uffe Birk Jensen, Kristiina Aittomäki, Ramunas Janavicius, Olufunmilayo I. Olopade, Bjarni A. Agnarsson, Kara N. Maxwell, Julian Barwell, Bernd Auber, Julian Adlard, Esther M. John, Alex Teulé, Miguel de la Hoya, Darcy L. Thull, David E. Goldgar, Alessandra Viel, Dominique Stoppa-Lyonnet, Barbara Wappenschmidt, Phuong L. Mai, Taru A. Muranen, Eric Hahnen, Fergus J. Couch, Laura Matricardi, Domenico Palli, Yen Y. Tan, Julia Hentschel, Florentia Fostira, Ute Hamann, Trinidad Caldés, Rosemarie Davidson, Daniel R. Barnes, Åke Borg, Pedro Pérez-Segura, Aniko Bozsik, Yuan Chun Ding, Dieter Niederacher, Heli Nevanlinna, Helen Hanson, Norbert Arnold, Robin de Putter, Juliane Ramser, Alex Murray, Laura Cortesi, Christian F. Singer, Jacopo Azzollini, Zsofia K. Stadler, Oskar T. Johannsson, Andrew K. Godwin, D. Gareth Evans, Edith Olah, Michael T. Parsons, Medicum, Research Programs Unit, Kristiina Aittomäki / Principal Investigator, HUSLAB, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki University Hospital Area, Research Program in Systems Oncology, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Clinicum, Institut Català de la Salut, [Barnes DR, Leslie G, McGuffog L, Dennis J, Yang X] Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [Silvestri V] Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy. [Balmaña J] Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Servei d’Oncologia Mèdica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Diez O] Hereditary Cancer Genetics Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Àrea de Genètica Clínica i Molecular, Vall d’Hebron Hospital Universitari, Barcelona, Spain, and Vall d'Hebron Barcelona Hospital Campus
Subjects: Oncology, Male, Cancer Research, Neoplasms::Neoplasms by Site::Breast Neoplasms [DISEASES], Genetic Phenomena::Genotype::Genetic Predisposition to Disease [PHENOMENA AND PROCESSES], Diàtesi, polygenic, male breast cancer, PRS, Medical Oncology, Prostate cancer, Breast cancer, 0302 clinical medicine, Prostate, Risk Factors, Medicine and Health Sciences, 80 and over, genetics, skin and connective tissue diseases, Aged, 80 and over, neoplasias::neoplasias por localización::neoplasias de la mama [ENFERMEDADES], 0303 health sciences, education.field_of_study, BRCA1 Protein, Men, Articles, ASSOCIATION, Single Nucleotide, prostate cancer, OVARIAN, BRCA1, BRCA2, 3. Good health, Mutation carriers, medicine.anatomical_structure, Ovarian, 030220 oncology & carcinogenesis, Male breast cancer, Pròstata - Càncer - Aspectes genètics, BRCA2 Protein, Genetic Predisposition to Disease, Heterozygote, Humans, Mutation, Polymorphism, Single Nucleotide, Risk Assessment, Breast Neoplasms, Prostatic Neoplasms, AcademicSubjects/MED00010, medicine.medical_specialty, Neoplasms::Neoplasms by Site::Urogenital Neoplasms::Genital Neoplasms, Male::Prostatic Neoplasms [DISEASES], Urology, 3122 Cancers, Population, Single-nucleotide polymorphism, MUTATION CARRIERS, Càncer de mama, Association, 03 medical and health sciences, Internal medicine, medicine, Polymorphism, education, fenómenos genéticos::genotipo::predisposición genética a la enfermedad [FENÓMENOS Y PROCESOS], 030304 developmental biology, Aged, Càncer de pròstata, business.industry, Cancer, Odds ratio, medicine.disease, neoplasias::neoplasias por localización::neoplasias urogenitales::neoplasias de los genitales masculinos::neoplasias de la próstata [ENFERMEDADES], Homes, Mama - Càncer - Aspectes genètics, business
Abstract: Breast and prostate cancer risks; Pathogenic variant Riscos de càncer de mama i pròstata; Variants patogèniques Riesgos de cáncer de mama y próstata; Variantes patogénicas Background Recent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers. Methods 483 BRCA1 and 1318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were 3 versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen receptor (ER)–negative (PRSER-), or ER-positive (PRSER+) breast cancer risk. Results PRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07 to 1.83) for BRCA1 and 1.33 (95% CI = 1.16 to 1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for BRCA1 (OR = 1.73, 95% CI = 1.28 to 2.33) and BRCA2 (OR = 1.60, 95% CI = 1.34 to 1.91) carriers. The estimated breast cancer odds ratios were larger after adjusting for female relative breast cancer family history. By age 85 years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions. Conclusions Population-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and informing clinical management. The CIMBA data management and data analysis were supported by Cancer Research UK grants C12292/A20861 and PPRPGM-Nov20\100002. The research leading to these results has received funding from the Italian Association for Cancer Research (AIRC) under IG 2018 - ID. 21389 and the Italian League for the Fight Against Cancer (LILT) under IG 2019 projects, P.I. Ottini Laura and Italian Ministry of Education, Universities and Research-Dipartimenti di Eccellenza-L. 232/2016. CIMBA: GCT is a National Health and Medical Research Council (NHMRC) Research Fellow. iCOGS and OncoArray data: the European Community’s Seventh Framework Programme under grant agreement No. 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, C8197/A16565), the National Institutes of Health (NIH) (CA128978) and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112 - the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer (CRN-87521), and the Ministry of Economic Development, Innovation and Export Trade (PSR-SIIRI-701), Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund. The Personalized Risk Stratification for Prevention and Early Detection of Breast Cancer (PERSPECTIVE) and PERSPECTIVE I&I projects were supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the Ministry of Economy and Innovation through Genome Québec, and The Quebec Breast Cancer Foundation and the Ontario Research Fund. Breast Cancer Family Registry (BCFR): UM1 CA164920 from the National Cancer Institute (NCI). Baltic Familial Breast Ovarian Cancer Consortium (BFBOCC): Lithuania (BFBOCC-LT): Research Council of Lithuania grant SEN-18/2015. Beth Israel Deaconess Medical Center (BIDMC): Breast Cancer Research Foundation. BRCA-gene mutations and breast cancer in South African women (BMBSA): Cancer Association of South Africa (PI Elizabeth J. van Rensburg). Spanish National Cancer Centre (CNIO): Spanish Ministry of Health PI16/00440 supported by Fondo Europeo de Desarrollo Regional (FEDER) funds, the Spanish Ministry of Economy and Competitiveness (MINECO) SAF2014-57680-R and the Spanish Research Network on Rare diseases (CIBERER). City of Hope - Clinical Cancer Genomics Community Research Network (COH-CCGCRN): Research reported in this publication was supported by the NCI of the NIH under grant No. R25CA112486, and RC4CA153828 (PI: J. Weitzel) from the NCI and the Office of the Director, NIH. CONsorzio Studi ITaliani sui Tumori Ereditari Alla Mammella (CONSIT TEAM): Associazione Italiana Ricerca sul Cancro (AIRC; IG2014 No.15547) to P. Radice. Funds from Italian citizens who allocated the 5x1000 share of their tax payment in support of the Fondazione IRCCS Istituto Nazionale Tumori, according to Italian laws (INT-Institutional strategic projects ‘5x1000’) to S. Manoukian. Associazione CAOS Varese to M.G. Tibiletti. AIRC (IG2015 No.16732) to P. Peterlongo. National Centre for Scientific Research Demokritos (DEMOKRITOS): European Union (European Social Fund—ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program of the General Secretariat for Research & Technology: SYN11_10_19 NBCA. Investing in knowledge society through the European Social Fund. German Cancer Research Center (DFKZ): German Cancer Research Center. Epidemiological Study of Familial Breast Cancer (EMBRACE): Cancer Research UK Grants C1287/A10118 and C1287/A11990. D. Gareth Evans and Fiona Lalloo are supported by an National Institute for Health Research (NIHR) grant to the Biomedical Research Centre, Manchester. The Investigators at The Institute of Cancer Research and The Royal Marsden National Health Service (NHS) Foundation Trust are supported by an NIHR grant to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Ros Eeles and Elizabeth Bancroft are supported by Cancer Research UK Grant C5047/A8385. Ros Eeles is also supported by NIHR support to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Fox Chase Cancer Center (FCCC): The University of Kansas Cancer Center (P30 CA168524) and the Kansas Bioscience Authority Eminent Scholar Program. AKG was in part funded by the NCI (R01 CA214545 and R01 CA140323), The Kansas Institute for Precision Medicine (P20 GM130423), and the Kansas Bioscience Authority Eminent Scholar Program. A.K.G. is the Chancellors Distinguished Chair in Biomedical Sciences Professor. Fundación Pública Galega de Medicina Xenómica (FPGMX): FISPI05/2275 and Mutua Madrileña Foundation (FMMA). German Familial Breast Group (GC-HBOC): German Cancer Aid (grant No. 110837, Rita K. Schmutzler) and the European Regional Development Fund and Free State of Saxony, Germany (LIFE—Leipzig Research Centre for Civilization Diseases, project No. 713-241202, No. 713-241202, No. 14505/2470, and No. 14575/2470). Genetic Modifiers of cancer risk in BRCA1/2 mutation carriers (GEMO): Ligue Nationale Contre le Cancer; the Association “Le cancer du sein, parlons-en!” Award, the Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program and the French National Institute of Cancer (INCa grants 2013-1-BCB-01-ICH-1 and SHS-E-SP 18-015). Georgetown University (GEORGETOWN): the Non-Therapeutic Subject Registry Shared Resource at Georgetown University (NIH/NCI grant P30-CA051008), the Fisher Center for Hereditary Cancer and Clinical Genomics Research, and Swing Fore the Cure. Ghent University Hospital (G-FAST): Bruce Poppe is a senior clinical investigator of FWO. Mattias Van Heetvelde obtained funding from IWT. Hospital Clinico San Carlos (HCSC): Spanish Ministry of Health PI15/00059, PI16/01292, and CB-161200301 CIBERONC from ISCIII (Spain), partially supported by European Regional Development FEDER funds. Helsinki Breast Cancer Study (HEBCS): Helsinki University Hospital Research Fund, the Finnish Cancer Society and the Sigrid Juselius Foundation. Hereditary Breast and Ovarian cancer study the Netherlands (HEBON): the Dutch Cancer Society grants NKI1998-1854, NKI2004-3088, NKI2007-3756, the Netherlands Organization of Scientific Research grant NWO 91109024, the Pink Ribbon grants 110005 and 2014-187.WO76, the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) grant NWO 184.021.007/CP46 and the Transcan grant JTC 2012 Cancer 12-054. HEBON thanks the registration teams of Dutch Cancer Registry (IKNL; S. Siesling, J. Verloop) and the Dutch Pathology database (PALGA; L. Overbeek) for part of the data collection. Study of Genetic Mutations in Breast and Ovarian Cancer patients in Hong Kong and Asia (HRBCP): Hong Kong Sanatorium and Hospital, Dr Ellen Li Charitable Foundation, The Kerry Group Kuok Foundation, National Institute of Health1R 03CA130065, and North California Cancer Center. Molecular Genetic Studies of Breast- and Ovarian Cancer in Hungary (HUNBOCS): Hungarian Research Grants KTIA-OTKA CK-80745 and NKFI_OTKA K-112228. Institut Català d’Oncologia (ICO): The authors would like to particularly acknowledge the support of the Asociación Española Contra el Cáncer (AECC), the Instituto de Salud Carlos III (organismo adscrito al Ministerio de Economía y Competitividad) and “FEDER, una manera de hacer Europa” (PI10/01422, PI13/00285, PIE13/00022, PI15/00854, PI16/00563 and CIBERONC) and the Institut Català de la Salut and Autonomous Government of Catalonia (2009SGR290, 2014SGR338 and PERIS Project MedPerCan). International Hereditary Cancer Centre (IHCC): PBZ_KBN_122/P05/2004. Iceland Landspitali – University Hospital (ILUH): Icelandic Association “Walking for Breast Cancer Research” and by the Landspitali University Hospital Research Fund. INterdisciplinary HEalth Research Internal Team BReast CAncer susceptibility (INHERIT): Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program—grant No. CRN-87521 and the Ministry of Economic Development, Innovation and Export Trade—grant No. PSR-SIIRI-701. Istituto Oncologico Veneto (IOVHBOCS): Ministero della Salute and “5x1000” Istituto Oncologico Veneto grant. Portuguese Oncology Institute-Porto Breast Cancer Study (IPOBCS): Liga Portuguesa Contra o Cancro. Kathleen Cuningham Consortium for Research into Familial Breast Cancer (kConFab): The National Breast Cancer Foundation, and previously by the National Health and Medical Research Council (NHMRC), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia. Korean Hereditary Breast Cancer Study (KOHBRA): the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), and the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HI16C1127; 1020350; 1420190). Mayo Clinic (MAYO): NIH grants CA116167, CA192393 and CA176785, an NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), and a grant from the Breast Cancer Research Foundation. McGill University (MCGILL): Jewish General Hospital Weekend to End Breast Cancer, Quebec Ministry of Economic Development, Innovation and Export Trade. Marc Tischkowitz is supported by the funded by the European Union Seventh Framework Program (2007Y2013)/European Research Council (Grant No. 310018). Modifier Study of Quantitative Effects on Disease (MODSQUAD): MH CZ—DRO (MMCI, 00209805), MEYS—NPS I—LO1413 to LF, and by Charles University in Prague project UNCE204024 (MZ). Memorial Sloane Kettering Cancer Center (MSKCC): the Breast Cancer Research Foundation, the Robert and Kate Niehaus Clinical Cancer Genetics Initiative, the Andrew Sabin Research Fund and a Cancer Center Support Grant/Core Grant (P30 CA008748). Women’s College Research Institute Hereditary Breast and Ovarian Cancer Study (NAROD): 1R01 CA149429-01. National Cancer Institute (NCI): the Intramural Research Program of the US NCI, NIH, and by support services contracts NO2-CP-11019-50, N02-CP-21013-63 and N02-CP-65504 with Westat, Inc, Rockville, MD. National Israeli Cancer Control Center (NICCC): Clalit Health Services in Israel, the Israel Cancer Association and the Breast Cancer Research Foundation (BCRF), NY. N.N. Petrov Institute of Oncology (NNPIO): the Russian Foundation for Basic Research (grants 17-54-12007, 17-00-00171 and 18-515-12007). NRG Oncology: U10 CA180868, NRG SDMC grant U10 CA180822, NRG Administrative Office and the NRG Tissue Bank (CA 27469), the NRG Statistical and Data Center (CA 37517) and the Intramural Research Program, NCI. The Ohio State University Comprehensive Cancer Center (OSUCCG): Ohio State University Comprehensive Cancer Center. Università di Pisa (PBCS): AIRC [IG 2013 N.14477] and Tuscany Institute for Tumors (ITT) grant 2014-2015-2016. South East Asian Breast Cancer Association Study (SEABASS): Ministry of Science, Technology and Innovation, Ministry of Higher Education (UM.C/HlR/MOHE/06) and Cancer Research Initiatives Foundation. Sheba Medical Centre (SMC): the Israeli Cancer Association. Swedish Breast Cancer Study (SWE-BRCA): the Swedish Cancer Society. University of Chicago (UCHICAGO): NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA125183), R01 CA142996, 1U01CA161032 and by the Ralph and Marion Falk Medical Research Trust, the Entertainment Industry Fund National Women’s Cancer Research Alliance and the Breast Cancer research Foundation. OIO is an American Cancer Society (ACS) Clinical Research Professor. University of California Los Angeles (UCLA): Jonsson Comprehensive Cancer Center Foundation; Breast Cancer Research Foundation. University of California San Francisco (UCSF): UCSF Cancer Risk Program and Helen Diller Family Comprehensive Cancer Center. UK Familial Ovarian Cancer Registry (UKFOCR): Cancer Research UK. University of Pennsylvania (UPENN): NIH (R01-CA102776 and R01-CA083855); Breast Cancer Research Foundation; Susan G. Komen Foundation for the cure, Basser Research Center for BRCA. Cancer Family Registry University of Pittsburg (UPITT/MWH): Hackers for Hope Pittsburgh. Victorian Familial Cancer Trials Group (VFCTG): Victorian Cancer Agency, Cancer Australia, National Breast Cancer Foundation. Women’s Cancer Program at Cedars-Sinai Medical Center (WCP): Dr Karlan is funded by the ACS Early Detection Professorship (SIOP-06-258-01-COUN) and the National Center for Advancing Translational Sciences (NCATS), Grant UL1TR000124. TN-D is a recipient of a Career Development Fellow from the National Breast Cancer Foundation (Australia, ECF-17-001).
Published: 2022
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2. Clinical and genetic characteristics of late-onset Huntington's disease

Author: Oosterloo, Mayke, Bijlsma, Emilia K., van Kuijk, Sander MJ., Minkels, Floor, de Die-Smulders, Christine EM., Bachoud-Lévi, Anne-Catherine, Bentivoglio, Anna-Rita, Biunno, Ida, Bonelli, Raphael M., Bronzova, Juliana, Burgunder, Jean-Marc, Dunnett, Stephen B., Ferreira, Joaquim J., Frich, Jan, Giuliano, Joe, Handley, Olivia J., Heiberg, Arvid, Illarioshkin, Sergey, Illmann, Torsten, Klempir, Jiri, Landwehrmeyer, G. Bernhard, Levey, Jamie, Mclean, Tim, Nielsen, Jørgen E., Koivisto, Susana Pro, Päivärinta, Markku, Pålhagen, Sven, Quarrell, Oliver, Ramos-Arroyo, Maria, Roos, Raymund A. C., Saft, Carsten, Sebastián, Ana Rojo, Tabrizi, Sarah J., Vandenberghe, Wim, Verellen-Dumoulin, Christine, Uhrova, Tereza, Wahlström+, Jan, Zaremba, Jacek (formerly Rödig, Verena, Baake, Barth, Katrin, Garde, Monica Bascuñana, Becanovic, Kristina, Bernard, Tomáš, Betz, Sabrina, Bos, Reineke, Come, Adrien, Guedes, Leonor Correia, Callaghan, Jenny, Capodarca, Selene, Charpentier, Sébastien, Vieira da Silva, Wildson, Di Renzo, Martina, Ecker, Daniel, Finisterra, Ana Maria, Fullam, Ruth, Genoves, Camille, Gilling, Mette, Horta, Andrea, Hvalstedt, Carina, Held, Christine, Hussain, Hasina, Koppers, Kerstin, Lamanna, Claudia, Laurà, Matilde, Descals, Asunción Martínez, Martinez-Horta, Saul, Mestre, Tiago, Minster, Sara, Monza, Daniela, Münkel, Kristina, Mütze, Lisanne, Oehmen, Martin, Padieu, Helene, Paterski, Laurent, Peppa, Nadia, Rindal, Beate, Rogers, Dawn, Røren (formerly Heinonen), Niini, Salgueiro, Ana, Šašinková, Pavla, Seliverstov, Yury, Taylor, Catherine, Timewell, Erika, Townhill, Jenny, Cubillo, Patricia Trigo, van Walsem, Marleen R., Witjes-Ané, Marie-Noelle, Witkowski, Grzegorz, Wright, Abigail, Yudina, Elizaveta, Zielonka, Daniel, Zielonka, Eugeniusz, Zinzi, Paola, Hecht, Karen, Herranhof, Brigitte, Holl (formerly Hödl), Anna, Kapfhammer, Hans-Peter, Koppitz, Michael, Lilek, Sabine, Magnet, Markus, Müller, Nicole, Otti, Daniela, Painold, Annamaria, Reisinger, Karin, Scheibl, Monika, Schöggl, Helmut, Ullah, Jasmin, Braunwarth, Eva-Maria, Brugger, Florian, Buratti, Lisa, Hametner, Eva-Maria, Hepperger, Caroline, Holas, Christiane, Hotter, Anna, Hussl, Anna, Larcher, Barbara, Mahlknecht, Philipp, Müller, Christoph, Pinter, Bernadette, Poewe, Werner, Reiter, Eva-Magdalena, Seppi, Klaus, Sprenger, Fabienne, Wenning, Gregor, Ladurner, Gunther, Lilek, Stefan, Sinadinosa, Daniela, Staffen, Wolfgang, Walleczek, Anna Maria, Linder, Christoph, Pirker, Walter, Liessens, Dirk, Calmeyn, Godelinde, Somers, Nele, Delvaux, Isabelle, Boogaerts, Andrea, Flamez, Anja, de Raedt, Sylvie, Alaerts, Nick, Slama, Hichem, Supiot, Frédéric, Constant, Eric, Gillardin, Anne-Françoise, Léonard, Marie-Claude, van de Wyngaerde, Françoise, Dupuis, Michel, Minet, Cécile, Ribaï, Pascale, Van Paemel, Dominique, van Reijen, Dimphna, Weckx, Petra, Kaiserova, Michaela, Šenkárová, Zuzana, Bezdíček, Ondřej, Klempíř, Jiří, Klempířová, Olga, Majerová-Ibarburu, Veronika, Nikolai, Tomáš, Roth, Jan, Stárková, Irena, Madsen, Louise Hasselstrøm, Møller, Anette Torvin, Hjermind, Lena, Jacobsen, Oda, Larsen, Ida Unmack, Lindquist, Suzanne, Nielsen, Jørgen, Regeur, Lisbeth, Roos, Peter, Stockholm, Jette, Vangsted-Hansen, Christina, Vinther-Jensen, Tua, Lolk, Annette, Lundsgaard, Marianne, Wermuth, Lene, Andersson, Christian, Nyberg, Clara, Sundblom, Jimmy, Peippo, Maarit, Sipponen, Marjatta, Bruun, Anu, Hartikainen, Paivi, Mäkipää, Seija, Ollokainen, Mari, Åman, Jaana, Kärppä, Mikko, Ignatius, Jaakko, Jääskeläinen, Outi, Kajula, Outi, Moilanen, Jukka, Mustonen, Aki, Santala, Maire, Eklund, Pia, Hiivola, Heli, Hyppönen, Hannele, Martikainen, Kirsti, Ojala, Marjut, Tähkäpää, Sirkku, Tuuha, Katri, Allain, Philippe, Bonneau, Dominique, Bost, Marie, Gohier, Bénédicte, Guérid, Marie-Anne, Olivier, Audrey, Prouzet, Julie, Prundean, Adriana, Scherer-Gagou, Clarisse, Verny, Christophe, Babiloni, Blandine, Bled, Déborah, Debruxelles, Sabrina, Duché, Charlotte, Fraisse, Sonia, Goizet, Cyril, Jameau, Laetitia, Lafoucrière, Danielle, Spampinato, Umberto, Couttier, Julien, Debilly, Bérengère, Delaigue, Christine, Derost, Philippe, Durif, Franck, Germain, Véronique, Legendre, Perrine, Loiseau, Sylvie, Marques, Ana, Ulla, Miguel, Vidal, Tiphaine, Badei, Farideh, Boissé, Marie-Françoise, Boudali, Lotfi, Cleret de Langavant, Laurent, Lemoine, Laurie, Morgado, Graca, Youssov, Katia, Annic, Agnès, Barthélémy, Recka, De Bruycker, Christelle, Cabaret, Maryline, Carette, Anne-Sophie, Carrière, Nicolas, Decorte, Eric, Defebvre, Luc, Delliaux, Marie, Delval, Arnaud, Depelchin, Alizé, Destee, Alain, Dewulf-Pasz, Nelly, Dondaine, Thibaut, Dugauquier, Florence, Dujardin, Kathy, Hopes, Lucie, Krystkowiak, Pierre, Lemaire, Marie-Hélène, Manouvrier, Sylvie, Mutez, Eugénie, Peter, Mireille, Plomhause, Lucie, Sablonnière, Bernard, Simonin, Clémence, Tard, Céline, Thibault-Tanchou, Stéphanie, Vuillaume, Isabelle, Bellonet, Marcellin, Blin, Stéphanie, Chen, Simone, Masmoudi, Kamel, Morin, Gilles, Roussel, Martine, Tir, Mélissa, Schüler, Béatrice, Wannepain, Sandrine, Zouitina, Yassine, Azulay, Jean-Philippe, Delfini, Marie, Eusebio, Alexandre, Fluchere, Frédérique, Guenam, Aicha, Mundler, Laura, Nguyen, Karine, Benaich, Sandra, Brice, Alexis, Boster, Sarah, Charles, Perrine, Durr, Alexandra, Ewenczyk, Claire, Francisque, Hélène, Jauffret, Céline, Justo, Damian, Kassar, Abdulrahman, Klebe, Stephan, Lesne, Fabien, Milani, Paolo, Monin, Marie-Lorraine, Monnier, Tiffany, Roze, Emmanuel, Tataru, Alina, Tchikviladzé, Maya, Bioux, Sandrine, Bliaux, Evangeline, Girard, Carole, Guyant-Maréchal, Lucie, Hannequin, Didier, Hannier, Véronique, Jourdain, Séverine, Maltête, David, Pouliquen, Dorothée, Anheim, Mathieu, Barun, Nadia, Lagha-Boukbiza, Ouhaid, Longato, Nadine, Marcel, Christophe, Phillipps, Clélie, Rudolf, Gabrielle, Steinmetz, Gisèle, Tranchant, Christine, Wagner, Caroline, Zimmermann, Marie-Agathe, Blondeau, Leily, Calvas, Fabienne, Cheriet, Samia, Delabaere, Helène, Demonet, Jean-François, Marquine, Laurent, Pariente, Jérémie, Pierre, Michèle, Pomies, Elsa, Rolland, Sandrine, Souyris, Corinne, Kosinski, Christoph Michael, Milkereit, Eva, Probst, Daniela, Reetz, Kathrin, Sass, Christian, Schiefer, Johannes, Schlangen, Christiane, Werner, Cornelius J., Beuth, Markus, Gelderblom, Harald, Priller, Josef, Prüß, Harald, Spruth, Eike, Thiel, Silvia, Andrich, Jürgen, Ellrichmann, Gisa, Herrmann, Lennard, Hoffmann, Rainer, Kaminski, Barbara, Kraus, Peter, Stamm, Christiane, Ganos, Christos, Stubbe, Lars, Tadic, Vera, Tübing, Jennifer, Lange, Herwig, Bosredon, Cecile, Hunger, Ulrike, Löhle, Matthias, Maass, Antonia, Ossig, Christiana, Schmidt, Simone, Storch, Alexander, Wolz, Annett, Wolz, Martin, Kohl, Zacharias, Kozay, Christina, Winkler, Jürgen, Bergmann, Ulrike, Böringer, Regina, Capetian, Philipp, Kammel, Gerit, Lambeck, Johann, Mächtel, Miriam, Meier, Simone, Rijntjes, Michel, Zucker, Birgit, Boelmans, Kai, Goerendt, Ines, Heinicke, Walburgis, Hidding, Ute, Lewerenz, Jan, Münchau, Alexander, Orth, Michael, Schmalfeld, Jenny, Zittel, Simone, Diercks, Gabriele, Dressler, Dirk, Francis, Flverly, Gayde-Stephan, Sabine, Gorzolla, Heike, Kramer, Bianca, Minschke, Rebecca, Schrader, Christoph, Tacik, Pawel, Ribbat+, Michael, Longinus, Bernhard, Möller, Carsten, Bürk, Katrin, Lüsebrink, Antje, Mühlau, Mark, Peinemann, Alexander, Städtler, Michael, Weindl, Adolf, Winkelmann, Juliane, Ziegler, Cornelia, Bechtel, Natalie, Beckmann, Heike, Bohlen, Stefan, Göpfert, Nicole, Hölzner, Eva, Reilmann, Ralf, Rohm, Stefanie, Rumpf, Silke, Schepers, Sigrun, Weber, Nathalia, Bachmeier, Michael, Dose, Matthias, Hofstetter, Nina, Marquard, Ralf, Mühlbäck, Alzbeta, Buck, Andrea, Connemann, Julia, Geitner, Carolin, Kesse, Andrea, Landwehrmeyer, Bernhard, Lezius, Franziska, Nepper, Solveig, Niess, Anke, Schneider, Ariane, Schwenk, Daniela, Süssmuth, Sigurd, Trautmann, Sonja, Vogel, Melanie, Weydt, Patrick, Musacchio, Thomas, Leypold, Christine, Nöth, Kerstin, Cormio, Claudia, Difruscolo, Olimpia, Franco, Giovanni, Nuzzi, Angela, Sciruicchio, Vittorio, Serpino, Claudia, de Tommaso, Marina, Calandra-Buonaura, Giovanna, Capellari, Sabina, Cortelli, Pietro, Gallassi, Roberto, Poda, Roberto, Scaglione, Cesa, Agosti, Chiara, Barlati, Sergio, Compostella, Silvia, Marchina, Eleonora, Padovani, Alessando, Figorilli, Michela, Marrosu, Francesco, Muroni, Antonella, Piras, Valeria, Vacca, Melisa, Bertini, Elisabetta, Bartoli, Caterina, Fortunato, Fernanda, Ghelli, Elena, Ginestroni, Andrea, Mechi, Claudia, Paganini, Marco, Piacentini, Silvia, Pradella, Silvia, Romoli, Anna Maria, Sorbi, Sandro, Abbruzzese, Giovanni, Bandettini di Poggio, Monica, Ferrandes, Giovanna, Mandich, Paola, Marchese, Roberta, Di Maria, Emilio, Tamburini, Tiziano, Albanese, Alberto, Castagliuolo, Simona, Castaldo, Anna, Di Donato, Stefano, Di Bella, Daniela, Gellera, Cinzia, Genitrini, Silvia, Mariotti, Caterina, Nanetti, Lorenzo, Panzeri, Marta, Paridi, Dominga, Soliveri, Paola, Spagnolo, Francesca, Taroni, Franco, Tomasello, Chiara, De Michele, Giuseppe, Di Maio, Luigi, Rinaldi, Carlo, Massarelli, Marco, Peluso, Silvio, Roca, Alessandro, Russo, Cinzia Valeria, Salvatore, Elena, Sorrentino, Pierpaolo, Tucci, Tecla, Cannella, Milena, Codella, Valentina, De Gregorio, Francesca, De Nicola, Annunziata, Elifani, Francesca, Esposito, Chiara, Martino, Tiziana, Mazzante, Irene, Petrollini, Martina, Simonelli, Maria, Vezza, Maurizio, Squitieri, Ferdinando, D'Alessio, Barbara, Lovo, Francesca, Bentivoglio, Anna Rita, Bove, Francesco, Catalli, Claudio, Di Giacopo, Raffaella, Fasano, Alfonso, Frontali, Marina, Guidubaldi, Arianna, Ialongo, Tamara, Jacopini, Gioia, Loria, Giovanna, Modoni, Anna, Petracca, Martina, Piano, Carla, Chiara, Piccininni, Quaranta, Davide, Romano, Silvia, Soleti, Francesco, Solito, Marcella, Spadaro, Maria, Torlizzi, Flavia, Coarelli, Giulia, Ferraldeschi, Michela, Ristori, Giovanni, van Hout, Monique S. E., van Vugt, Jeroen P. P., Marit de Weert, A., Verhoeven, Marloes, Dekker, Meike, Klooster, Jesper, Leenders, Nico, van Oostrom, Joost, Kremer, Berry, Baake, Verena, van den Bogaard, Simon J. A., Dumas, Eve M., t Hart, Ellen P., Hogenboom, Marye, Jacobs, Milou, Jurgens, Caroline, Kampstra, Anne, Schoonderbeek, Anne, Witjes-Ané, Marie-Noëlle, Duits, Annelien, Waber, Mirella, Verstappen, Carla, Blinkenberg, Ellen Økland, Hauge, Erik, Tyvoll, Hilde, Aaserud, Olaf, Aanonsen, Nils Olaf, Bjørgo, Kathrine, Borgerød, Nancy, Dramstad, Elisabeth, Fannemel, Madeleine, Frich, Jan C., Gørvell, Per F., Haggag, Kathrine, Johannessen, Cecilie Haggag, Retterstøl, Lars, Røsby, Oddveig, Rummel, Jutta, Sikiric, Alma, Stokke, Bodil, van Walsem, Marleen, Wehus, Ragnhild, Arntsen, Vibeke, Bjørnevoll, Inga, Sando, Sigrid Botne, Haug, Marte Gjøl, Størseth, Hanna Haugan, Østern, Rune, Paulsen, Julie, Dziadkiewicz, Artur, Konkel, Agnieszka, Narożańska, Ewa, Nowak, Malgorzata, Robowski, Piotr, Sitek, Emilia, Slawek, Jaroslaw, Soltan, Witold, Szinwelski, Michal, Arkuszewski, Michał, Błaszczyk, Magdalena, Boczarska-Jedynak, Magdalena, Ciach-Wysocka, Ewelina, Gorzkowska, Agnieszka, Jasińska-Myga, Barbara, Kaczmarczyk, Aleksandra, Kłodowska – Duda, Gabriela, Opala, Grzegorz, Rudzińska, Monika, Stompel, Daniel, Banaszkiewicz, Krzysztof, Boćwińska, Dorota, Bojakowska-Jaremek, Kamila, Dec, Małgorzata, Grabska, Natalia, Krawczyk, Malgorzata, Kubowicz, Ewelina, Malec-Litwinowicz, Michalina, Stenwak, Agata, Szczudlik, Andrzej, Szczygieł, Elżbieta, Wójcik, Magdalena, Wasielewska, Anna, Anna Bryl, Jacek Anioła, Ciesielska, Anna, Klimberg, Aneta, Marcinkowski, Jerzy, Samara, Husam, Sempołowicz, Justyna, Wiśniewski, Bartłomiej, Gogol (formerly Kalbarczyk), Anna, Janik, Piotr, Jamrozik, Zygmunt, Kaminska, Anna, Kwiecinski+, Hubert, Antczak, Jakub, Jachinska, Katarzyna, Krysa, Wioletta, Rakowicz, Maryla, Rola, Rafal, Ryglewicz, Danuta, Sienkiewicz-Jarosz, Halina, Stępniak, Iwona, Sułek, Anna, Zaremba, Jacek, Zdzienicka, Elzbieta, Ziora-Jakutowicz, Karolina, Januário, Cristina, Júlio, Filipa, Almeida, Manuel, Calado, Ana, Dias, Margarida, Morgado, Joana, Semedo, Cristina, Coelho, Miguel, Magalhães, Andreia, Mendes, Tiago, Neutel, Dulce, Rodrigues, Filipe, Valadas, Anabela, Costa, Cristina, Cardoso, Helena, Santos, Mariana, Cação, Gonçalo, Cavaco, Sara, Damásio, Joana, Fernandes, Joana, Gonçalves, Alexandra, Loureiro, Rui, Moreira, Inês, Magalhães, Marina, Salgado, Paula, Andrade, Carlos, Costa, Andreia, Garrett, Carolina, Gago, Miguel, Guimarães, Joana, Massano, João, Meireles, Joana, Monteiro, Ana, Khasanova, Diana, Zalyalova, Zuleykha, Klyushnikov, Sergey, Sidorova, Olga, Smirnov, Oleg, Antonova, Victoria, Kopishinskaya, Svetlana, Korotysh, Maria, Magzhanov, Rim, Saifullina, Elena, Kurbatov, Sergey, Solis, Pilar, Herrera, Carmen Durán, Moreno, Patrocinio Garcia, Bas, Jordi, Busquets, Núria, Calopa, Matilde, Classen, Serge Jaumà, Dedichá, Nadia Rodríguez, Buongiorno, María Teresa, María, Andrés de la Cerda Santa, Muñoz, Esteban, Santacruz, Pilar, Barbera, Miquel Aguilar, Pardo, Sonia Arribas, Guia, Dolors Badenes, Calzado, Noemi, Hernanz, Laura Casas, Tartari Díaz-Zorita, Juan Pablo, Catena, Judit López, Ferrer, Pilar Quiléz, Carruesco, Gemma Tome, Robert, Misericordia Floriach, Viladrich, Cèlia Mareca, Roca, Elvira, Ruiz Idiago, Jesús Miguel, Riballo, Antonio Villa, Campolongo, Antonia, Fernandez de Bobadilla, Ramon, Bojarsky, Jaime Kulisevsky, Pagonabarraga, Javier, Perez, Jesus Perez, Ribosa, Roser, Villa, Carolina, Acera Gil, Maria Angeles, Corrales, Koldo Berganzo, Gomez Esteban, Juan Carlos, González, Amaia, Merino, Beatriz Tijero, Cubo, Esther, Polo, Cecilia Gil, Mariscal, Natividad, Sánchez, Jesús, Romero, Sandra Gutierrez, Arbelo, José Matías, Malo de Molina, Rocío, Martín, Idaira, Periañez, Juan Manuel, Udaeta, Beatriz, Alonso-Frech, Fernando, Loarte, María del Valle, Barrero, Francisco, Morales, Blas, Frades, Belén, Villanueva, Marina Ávila, Zea Sevilla, Maria Ascension, Fenollar, María del Mar, García-Ramos García, Rocío, Villanueva, Clara, Bascuñana, Mónica, Ventura, Marta Fatás, Caldentey, Juan García, Ribas, Guillermo García, García de Yébenes, Justo, López-Sendón Moreno, José Luis, Barral, Verónica Mañanes, Feliz, Cici, García Ruíz, Pedro José, García, Ana, López, Rosa Guerrero, Bárcenas, Antonio Herranz, Martínez-Descals, Asunción, Pueyo, Angel Martínez, Martin, Veronica Puertas, Martínez, Noelia Rodríguez, Montojo, Teresa, Sainz Artiga, María José, Sánchez, Vicenta, Alarcón, María Dolores, Almagro, Carmen Antúnez, Diéguez, Esther, Fortuna, Lorenza, Legaz, Agustina, Manzanares, Salvadora, Muñoz, Juan Marín, Antequera Torres, María Martirio, Perea, Fuensanta Noguera, Vivancos, Laura, González, Sonia, Guisasola, Luis Menéndez, Prieto, Marta Para, Ribacoba, René, Salvador, Carlos, Lozano, Pablo Sánchez, Ramirez, Inés Legarda, Benito, Dolors Moragues, Arques, Penelope Navas, Lopera, Monica Rodriguez, Pastor, Barbara Vives, Gaston, Itziar, Garcia-Amigot, Fermin, Martinez-Jaurrieta, Maria Dolores, Ramos-Arroyo, Maria Antonia, Adarmes, Astrid, Bernal-Escudero, Maravilla, Carrillo, Fátima, Jesús, Silvia, Mir, Pablo, Vargas-González, Laura, Hermoso, Fátima Damas, García Moreno, José Manuel, Jaramillo, Javier Abril, Lucena, Carolina Mendez, Pacheco Cortegana, Eva María, Peña, José Chacón, Redondo, Luis, Sánchez, Violeta Sánchez, Fernandez, Cristina Melgar, Romero Lemos, María Dolores, Mata, Maite Paredes, Casado, Rocío Villagrán, Bosca, Maria, Burguera, Juan Andres, Brugada, Francisco Castera, Millán Salvador, Jose Maria, Vilaplana, Carmen Peiró, Solís, Pilar, Figuerola, Begoña Jeweinat, Palanca, Paloma Millan, Diago, Elena Bellosta, López del Val, Javier, Martinez, Laura Martinez, López, Elena, Høsterey-Ugander, Ulrika, Fredlund, Gunnel, Constantinescu, Radu, Lewin, Kajsa, Neleborn-Lingefjärd, Liselotte, Berglund, Maria, Berglund, Peter, Linnsand, Petra, Petersén, Åsa, Reimer, Jan, Widner, Håkan, Esmaeilzadeh, Mouna, Tedroff, Joakim, Winnberg, Elisabeth, Benaminov, Stanislav, Björnsson, Elisabeth, Merrick, Daniel, Paucar, Martin, Svenningsson, Per, Wallden, Tina, Berglund, Måns, Loutfi, Ghada, Olofsson, Carina, Stattin, Eva-Lena, Westman, Laila, Wikström, Birgitta, Ekwall, Camilla, Göller, Marie-Lousie, Johansson, Anders, Niemelä, Valter, Nyholm, Dag, Wiklund, Leif, Koehli, Jessica, Stebler, Yanik, Kaelin, Alain, Romero, Irene, Schüpbach, Michael, Zaugg, Sabine Weber, Esposito, Federica, Good, Jean-Marc, Paus, Karin, Vingerhoets, Francois, Wider+, Christian, Jung, Hans H., Petersen, Jens A., Ligon-Auer, Maria, Mihaylova, Violeta, Downie, Lorna, Jack, Roisin, Matheson, Kirsty, Miedzybrodzka, Zosia, Rae, Daniela, Simpson, Sheila A., Summers, Fiona, Ure, Alexandra, Vaughan, Vivien, Harrower, Timothy, Vernon, Nathan, Akhtar, Shahbana, Crooks, Jenny, Curtis, Adrienne, de Souza (Keylock), Jenny, Piedad, John, Rickards, Hugh, Wright, Jan, Haig-Brown, Diane, Craven, Janet, Pallett, Andrew, Simpson, Steve, Weekes, Rebecca, Coulthard, Elizabeth, Gethin, Louise, Hayward, Beverley, Sieradzan, Kasia, Barker, Roger A., O'Keefe, Deidre, Gerrtiz (nee Di Pietro), Anna, Fisher, Kate, Goodman, Anna, Hill, Susan, Mason, Sarah, Swain, Rachel, Guzman, Natalie Valle, Busse, Monica, Butcher, Cynthia, Dunnett, Stephen, Clenaghan, Catherine, Hunt, Sarah, Jones, Lesley, Jones, Una, Khalil, Hanan, Owen, Michael, Price, Kathleen, Rosser, Anne, Goudie, David, Buchanan, Lindsay, Mcfadyen, Paula, Tonner, Alison, Taylor, Anne-Marie, Edwards, Maureen, Carrie, Ho, Mcgill, Marie, Porteous, Mary, Pearson, Pauline, Irvine, Sarah, Brockie, Peter, Foster, Jillian, Johns, Nicola, Mckenzie, Sue, Rothery, Jean, Thomas, Gareth, Yates, Shona, Neumann, Christian, Patterson, Kirsten, Thomson, David, Deith, Catherine, Ireland, Jane, Ritchie, Stuart, Brown, Pauline, Burrows, Liz, Fletcher, Amy, Harding, Alison, Harrison, Kaye, Laver, Fiona, Silva, Mark, Thomson, Aileen, Chu, Carol, Evans, Carole, Gallentree, Deena, Hamer, Stephanie, Kraus, Alison, Markova, Ivana, Raman, Ashok, Rowett, Liz, Andrew, Alyson, Frost, Julie, Noad, Rupert, Cosgrove, Jeremy, Gallantree, Deena, Hobson, Emma, Jamieson, Stuart, Longthorpe, Mandy, Musgrave, Hannah, Peacy, Caroline, Toscano, Jean, Wild, Sue, Yardumian, Pam, Clayton, Carole, Dipple, Heather, Freire-Patino, Dawn, Hallam, Caroline, Middleton, Julia, Alusi, Sundus, Davies, Rhys, Foy, Kevin, Gerrans, Emily, Pate, Louise, Anjum, Uruj, Coebergh, Jan, Eddy, Charlotte, Lahiri, Nayana, Mcentagart, Meriel, Patton, Michael, Peterson, Maria, Rose, Sarah, Andrews, Thomasin, Dougherty, Andrew, Golding, Charlotte, Kavalier, Fred, Laing, Hana, Lashwood, Alison, Robertson, Dene, Ruddy, Deborah, Santhouse, Alastair, Whaite, Anna, Gosling (nee Brown), Stefanie, Bruno, Stefania, Chu, Elvina, Doherty, Karen, Haider, Salman, Hensman, Davina, Lewis, Monica, Novak, Marianne, Patel, Aakta, Robertson, Nicola, Rosser, Elisabeth, Tabrizi, Sarah, Taylor, Rachel, Warner, Thomas, Wild, Edward, Ackermann, Oda, Duport, Sophie, Scott, Adrienne, Stoy, Nicholas, Vaughn, Jenny, Arran, Natalie, Bek, Judith, Craufurd, David, Hare, Marianne, Howard, Liz, Huson, Susan, Johnson, Liz, Jones, Mary, Krishnamoorthy, Ashok, Murphy, Helen, Oughton, Emma, Partington-Jones, Lucy, Sollom, Andrea, Snowden, Julie, Stopford, Cheryl, Thompson, Jennifer, Trender-Gerhard, Iris, Verstraelen (formerly Ritchie), Nichola, Westmoreland, Leann, Cass, Ginette, Davidson, Lynn, Davison, Jill, Fullerton, Neil, Holmes, Katrina, Komati, Suresh, Mcdonnell, Sharon, Mohammed, Zeid, Morgan, Karen, Savage, Lois, Singh, Baldev, Wood, Josh, Knight, Caroline, O'Neill, Mari, Purkayastha, Debasish Das, Nemeth, Andrea H., Siuda, Gill, Valentine, Ruth, Dixon, Kathryn, Armstrong, Richard, Harrison, David, Hughes, Max, Large, Sandra, Donovan, John O., Palmer, Amy, Parkinson, Andrew, Soltysiak, Beverley, Timings, Leanne, Williams, Josh, Burn, John, Bailey, Wendy, Coleman, Caroline, Majeed, Tahir, Verstraelen (Ritchie), Nicola, Barrett, Wendy, Aileen, Ho, Bandmann, Oliver, Bradbury, Alyson, Fairtlough, Helen, Fillingham, Kay, Foustanos, Isabella, Gill, Paul, Kazoka, Mbombe, O'Donovan, Kirsty, Nevitt, Louise, Taylor, Cat, Tidswell, Katherine, Kipps, Christopher, Mackinnon, Lesley, Agarwal, Veena, Hayward, Elaine, Gunner, Kerry, Harris, Kayla, Anderson, Mary, Heywood, Melanie, Keys, Liane, Smalley, Sarah, El-Nimr, George, Duffell, Allison, Wood, Sue, Kennedy (nee Smith), Karen, Gowers, Lesley, Powell, Kingsley, Bethwaite, Pamela, Edwards, Rachel, Fuller, Kathleen, Phillips, Michelle, Tan, Louis, Lau, Puay Ngoh, Pica, Emmanuel, Roos, Raymund AC., Klinische Neurowetenschappen, MUMC+: MA Med Staf Spec Neurologie (9), MUMC+: KIO Kemta (9), Epidemiologie, RS: CAPHRI - R2 - Creating Value-Based Health Care, Klinische Genetica, MUMC+: DA KG Polikliniek (9), and RS: GROW - R4 - Reproductive and Perinatal Medicine
Subjects: Male, HD, 0301 basic medicine, Pediatrics, Neurology, Huntingtin Protein/genetics, FEATURES, Disease, Neuropsychological Tests, 0302 clinical medicine, Cognitive Dysfunction/psychology, Medicine, Family history, Postural Balance, Huntington Disease/genetics, Huntingtin Protein, education.field_of_study, Chorea/physiopathology, Huntington's disease, Sensation Disorders/physiopathology, Middle Aged, Dystonia, Settore MED/26 - NEUROLOGIA, Huntington Disease, neurodegenerative disorders, Sensation Disorders, Disease Progression, Female, medicine.symptom, Adult, medicine.medical_specialty, Population, Age of onset, Late-onset Huntington's disease, Geriatrics and Gerontology, Neurology (clinical), 03 medical and health sciences, AGE, Chorea, Humans, Cognitive Dysfunction, education, Dystonia/physiopathology, Gait Disorders, Neurologic/physiopathology, Gait Disorders, Neurologic, business.industry, medicine.disease, Gait, 030104 developmental biology, Trinucleotide Repeat Expansion, business, 030217 neurology & neurosurgery, Balance problems
Abstract: Background: The frequency of late-onset Huntington's disease (>59 years) is assumed to be low and the clinical course milder. However, previous literature on late-onset disease is scarce and inconclusive. Objective: Our aim is to study clinical characteristics of late-onset compared to common-onset HD patients in a large cohort of HD patients from the Registry database. Methods: Participants with late- and common-onset (30–50 years)were compared for first clinical symptoms, disease progression, CAG repeat size and family history. Participants with a missing CAG repeat size, a repeat size of ≤35 or a UHDRS motor score of ≤5 were excluded. Results: Of 6007 eligible participants, 687 had late-onset (11.4%) and 3216 (53.5%) common-onset HD. Late-onset (n = 577) had significantly more gait and balance problems as first symptom compared to common-onset (n = 2408) (P
Published: 2019
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3. Power Quality in DC Power Distribution Systems and Microgrids

Author: Brandon M. Grainger, Alexis Kwasinski, and Stephen Whaite
Subjects: Engineering, Control and Optimization, DC distribution system, Energy Engineering and Power Technology, inrush current, lcsh:Technology, law.invention, telecommunication power management, jel:Q40, Electric power system, DC architectures, law, jel:Q, jel:Q43, jel:Q42, Electronic engineering, jel:Q41, jel:Q48, datacenter, jel:Q47, DC microgrid, Electrical and Electronic Engineering, Engineering (miscellaneous), residential power systems, jel:Q49, Electric power distribution, power quality, DC distribution, grounding, Renewable Energy, Sustainability and the Environment, business.industry, Ground, lcsh:T, Direct current, jel:Q0, jel:Q4, Power optimizer, Power engineering, business, Alternating current, Energy (miscellaneous)
Abstract: This review paper discusses power quality considerations for direct current (DC) electric power distribution systems, particularly DC microgrids. First, four selected sample DC architectures are discussed to provide motivation for the consideration of power quality in DC systems. Second, a brief overview of power quality challenges in conventional alternating current (AC) distribution systems is given to establish the field of power quality. Finally, a survey of literature addressing power quality issues in DC systems is presented, and necessary power quality considerations in DC distribution system design and operation are discussed.
Published: 2015

4. Observing Huntington's disease: the European Huntington's Disease Network's REGISTRY

Author: Orth, M, Handley, Oj, Schwenke, C, Dunnett, S, Wild, Ej, Tabrizi, Sj, Landwehrmeyer, Gb, Bachoud Lévi AC, Bentivoglio, Ar, Biunno, I, Bonelli, R, Burgunder, Jm, Dunnett, Sb, Ferreira, Jj, Giuliano, J, Heiberg, A, Illmann, T, van Kammen, D, Landwehrmeye, Gb, Levey, J, Nielsen, Je, Päivärinta, M, Roos, Ra, Sebastián, Ar, Vandenberghe, W, Verellen Dumoulin, C, Zaremba, J, Uhrova, T, Wahlström, J, Wallner, M, Barth, K, Guedes, Lc, Finisterra, Am, Garde, Mb, Bos, R, Burg, S, Ecker, D, Held, C, Koppers, K, Laurà, M, Descals, Am, Mclean, T, Mestre, T, Minster, S, Monza, D, Townhill, J, Padieu, H, Paterski, L, Peppa, N, Koivisto, Sp, Rialland, A, Røren, N, Sasinková, P, Cubillo, Pt, Tritsch, C, van Walsem MR, Witjes Ané MN, Yudina, E, Zielonka, D, Zielonka, E, Zinzi, P, Bonelli, Rm, Herranhof, B, Holl, A, Kapfhammer, Hp, Koppitz, M, Magnet, M, Otti, D, Painold, A, Reisinger, K, Scheibl, M, Hecht, K, Lilek, S, Müller, N, Schöggl, H, Ullah, J, Brugger, F, Hepperger, C, Hotter, A, Mahlknecht, P, Nocker, M, Seppi, K, Wenning, G, Buratti, L, Hametner, Em, Holas, C, Hussl, A, Mair, K, Poewe, W, Wolf, E, Zangerl, A, Braunwarth, Em, Sinadinosa, D, Walleczek, Am, Ladurner, G, Staffen, W, Ribaï, P, Flamez, A, Morez, V, de Raedt, S, Boogaerts, A, van Reijen, D, Klempíř, J, Kucharík, M, Roth, J, Šenkárová, Z, Hasholt, L, Hjermind, Le, Jakobsen, O, Nørremølle, A, Sørensen, Sa, Stokholm, J, Nielsen, J, Hiivola, H, Martikainen, K, Tuuha, K, Peippo, M, Sipponen, M, Ignatius, J, Kärppä, M, Åman, J, Santala, M, Allain, P, Guérid, Ma, Gohier, B, Olivier, A, Prundean, A, Scherer Gagou, C, Verny, C, Babiloni, B, Debruxelles, S, Goizet, C, Lafoucrière, D, De Bruycker, C, Carette, As, Decorte, E, Delval, A, Delliaux, M, Dujardin, K, Peter, M, Plomhouse, L, Simonin, C, Thibault Tanchou, S, Bellonet, M, Duru, C, Krystkowiak, P, Roussel, M, Wannepain, S, Azulay, Jp, Chabot, C, Delphini, M, Eusebio, A, Grosjean, H, Mundler, L, Nowak, M, Rudolf, G, Steinmetz, G, Tranchant, C, Wagner, C, Zimmermann, Ma, Calvas, F, Cheriet, S, Démonet, Jf, Galitzky, M, Kosinski, Cm, Milkereit, E, Probst, D, Sass, C, Schiefer, J, Schlangen, C, Werner, Cj, Gelderblom, H, Priller, J, Prüss, H, Spruth, Ej, Andrich, J, Hoffmann, R, Kraus, Ph, Muth, S, Prehn, C, Saft, C, Salmen, S, Stamm, C, Steiner, T, Strassburger, K, Lange, H, Friedrich, A, Hunger, U, Löhle, M, Schmidt, S, Storch, A, Wolz, A, Wolz, M, Lambeck, J, Zucker, B, Boelmans, K, Ganos, C, Hidding, U, Lewerenz, J, Münchau, A, Schmalfeld, J, Stubbe, L, Zittel, S, Diercks, G, Gorzolla, H, Schrader, C, Heinicke, W, Ribbat, M, Longinus, B, Bürk, K, Möller, Jc, Rissling, I, Peinemann, A, Städtler, M, Weindl, A, Bechtel, N, Beckmann, H, Bohlen, S, Hölzner, E, Reilmann, R, Rohm, S, Rumpf, S, Schepers, S, Beister, A, Dose, M, Hammer, K, Kieni, J, Leythaeuser, G, Marquard, R, Raab, T, Richter, S, Selimbegovic Turkovic, A, Schrenk, C, Schuierer, M, Wiedemann, A, Buck, A, Connemann, J, Eschenbach, C, Landwehrmeyer, B, Lezius, F, Nepper, S, Niess, A, Süssmuth, S, Trautmann, S, Weydt, P, Cormio, C, Difruscolo, O, Sciruicchio, V, Serpino, C, de Tommaso, M, Capellari, S, Cortelli, P, Gallassi, R, Poda, R, Rizzo, G, Scaglione, C, Bertini, E, Ghelli, E, Ginestroni, A, Massaro, F, Mechi, C, Paganini, M, Piacentini, S, Pradella, S, Romoli, Am, Sorbi, S, Abbruzzese, G, di Poggio MB, Di Maria, E, Ferrandes, G, Mandich, P, Marchese, R, Albanese, A, Di Bella, D, Di Donato, S, Gellera, C, Genitrini, S, Mariotti, C, Nanetti, L, Paridi, D, Soliveri, P, Tomasello, C, De Michele, G, Di Maio, L, Rinaldi, C, Russo, Cv, Salvatore, E, Tucci, T, Cannella, M, Codella, V, De Gregorio, F, De Nicola, N, Martino, T, Simonelli, M, Squitieri, F, Catalli, C, Di Giacopo, R, Fasano, A, Frontali, M, Guidubaldi, A, Ialongo, T, Jacopini, G, Loria, G, Modoni, A, Piano, C, Chiara, P, Quaranta, D, Romano, Silvia, Soleti, F, Spadaro, M, van Hout MS, van Vugt JP, de Weert AM, Bolwijn, Jj, Dekker, M, Leenders, Kl, van Oostrom JC, Dumas, Em, Jurgens, Ck, van den Bogaard SJ, 't Hart EP, Kremer, B, Verstappen, Cc, Frich, J, Wehus, R, Aaserud, O, Borgerød, N, Bjørgo, K, Fannemel, M, Gørvell, P, Pro Koivisto, S, Retterstøl, L, Overland, T, Stokke, B, Bjørnevoll, I, Sando, Sb, Blinkenberg, Eø, Hauge, E, Tyvoll, H, Sitek, E, Slawek, J, Soltan, W, Boczarska Jedynak, M, Jasinska Myga, B, Opala, G, Kłodowska Duda, G, Banaszkiewicz, K, Szczudlik, A, Rudzińska, M, Wójcik, M, Dec, M, Krawczyk, M, Bryl, A, Ciesielska, A, Klimberg, A, Marcinkowski, J, Sempołowicz, J, Samara, H, Janik, P, Kalbarczyk, A, Kwiecinski, H, Jamrozik, Z, Antczak, J, Jachinska, K, Rakowicz, M, Richter, P, Ryglewicz, D, Witkowski, G, Zdzienicka, E, Sułek, A, Krysa, W, Júlio, F, Januário, C, Guedes, L, Coelho, M, Mendes, T, Valadas, A, Timóteo, Â, Costa, C, Vale, J, Cavaco, S, Damásio, J, Magalhães, M, Gago, M, Garrett, C, Guerra, Mr, Solis, P, Herrera, Cd, Garcia, Pm, Barrero, F, Morales, B, Cubo, E, Mariscal, N, Alonso Frech, F, Perez, Mr, Fenollar, M, García, Rg, Quiroga, Pp, Rivera, Sv, Villanueva, C, Bascuñana, M, Ventura, Mf, Ribas, Gg, de Yébenes JG, Moreno, Jl, Ruíz, Pj, Martínez Descals, A, Artiga, Mj, Sánchez, V, Perea, Mf, Lorenza, F, Torres, Mm, Reinante, G, Moreau, Lv, Barbera, Ma, Guia, Db, Hernanz, Lc, Catena, Jl, Ferrer, Pq, Carruesco, Gt, Bas, J, Busquets, N, Calopa, M, Buongiorno, Mt, Muñoz, E, Elorza, Md, López, Cd, Terol, Sd, Robert, Mf, Ruíz, Bg, Casado, Ag, Martínez, Ih, Viladrich, Cm, Càrdenas R, Pons i., Roca, E, Llesoy, Jr, Idiago, Jm, Vergara, Mr, García, Ss, Villa Riballo, A, González, Sg, Guisasola, Lm, Salvador, C, San Martín ES, Gorospe, A, Legarda, I, Arques, Pn, Rodríguez, Mj, Vives, B, Gaston, I, Ramos Arroyo MA, Moreno, Jm, Peña, Jc, Avarvarei, Ld, Bastida, Am, Recio, Mf, Vergé, Lr, Sánchez, Vs, Carrillo, F, Cáceres, Mt, Mir, P, Suarez, Mj, Bosca, M, Burguera, Ja, Garcia, Ac, Martínez, Lm, del Val JL, Loutfi, G, Olofsson, C, Stattin, El, Westman, L, Wikström, B, Höglund, A, Pålhagen, Se, Paucar, M, Sandström, B, Soltani, R, Svenningsson, P, Reza Soltani TW, Constantinescu, R, Fredlund, G, Høsterey Ugander, U, Neleborn Lingefjärd, L, Esmaeilzadeh, M, Tedroff, J, Winnberg, E, Björn, Y, Ekwall, C, Gøller, Ml, Johansson, A, Wiklund, L, Petersen, Å, Reimer, J, Widner, H, Burgunder, Y, Stebler, Y, Kaelin, A, Romero, I, Schüpbach, M, Zaugg, Sw, Jack, R, Matheson, K, Miedzybrodzka, Z, Rae, D, Simpson, S, Summers, F, Ure, A, Crooks, J, Curtis, A, de Souza Keylock, J, Rickards, H, Wright, J, Hayward, B, Sieradzan, K, Wright, A, Barker, Ra, Di Pietro, A, Fisher, K, Goodman, A, Hill, S, Kershaw, A, Mason, S, Paterson, N, Raymond, L, Bisson, J, Busse, M, Clenaghan, C, Ellison Rose, L, Handley, O, Hunt, S, Price, K, Rosser, A, Edwards, M, Hughes, T, Mcgill, M, Pearson, P, Porteous, M, Smith, P, Zeman, A, Causley, A, Harrower, T, Howcroft, D, Lambord, N, Rankin, J, Brockie, P, Foster, J, Johns, N, Mckenzie, S, Rothery, J, Thomas, G, Yates, S, Miller, J, Ritchie, S, Burrows, L, Fletcher, A, Harding, A, Laver, F, Silva, M, Thomson, A, Burns, P, Chu, C, Evans, C, Hamer, S, Markova, I, Raman, A, Barnes, K, Hobson, E, Jamieson, S, Thomson, J, Toscano, J, Wild, S, Yardumian, P, Bourne, C, Clayton, C, Dipple, H, Clapton, J, Grant, D, Hallam, C, Middleton, J, Murch, A, Patino, D, Bate, L, Pate, L, Andrews, T, Dougherty, A, Kavalier, F, Golding, C, Lashwood, A, Robertson, D, Ruddy, D, Whaite, A, Patton, M, Peterson, M, Rose, S, Bruno, S, Chu, E, Doherty, K, Henley, S, Lahiri, N, Novak, M, Patel, A, Read, J, Rosser, E, Say, M, Tabrizi, S, Taylor, R, Warner, T, Wild, E, Arran, N, Callaghan, J, Craufurd, D, Fullam, R, Howard, L, Huson, S, Oughton, E, Partington Jones, L, Snowden, J, Sollom, A, Stopford, C, Thompson, J, Trender Gerhad, I, Verstraelen, N, Westmoreland, L, Nemeth, Ah, Siuda, G, Harrison, D, Hughes, M, Parkinson, A, Soltysiak, B, Burn, J, Coleman, C, Majeed, T, Verstraelen Ritchie, N, Bandmann, O, Bradbury, A, Gill, P, Fairtlough, H, Fillingham, K, Foustanos, I, O'Donovan, K, Tidswell, K, Quarrell, O., Orth, M, European Huntington's Disease, Network, Handley, Oj, Schwenke, C, Dunnett, S, Wild, Ej, Tabrizi, Sj, Bachoud Lévi AC, Landwehrmeyer G. B., Bentivoglio, Ar, Biunno, I, Bonelli, R, Burgunder, Jm, Dunnett, Sb, Ferreira, Jj, Giuliano, J, Heiberg, A, Illmann, T, van Kammen, D, Landwehrmeye, Gb, Levey, J, Nielsen, Je, Päivärinta, M, Roos, Ra, Sebastián, Ar, Vandenberghe, W, Verellen Dumoulin, C, Zaremba, J, Uhrova, T, Wahlström, J, Wallner, M, Barth, K, Guedes, Lc, Finisterra, Am, Garde, Mb, Bos, R, Burg, S, Ecker, D, Held, C, Koppers, K, Laurà, M, Descals, Am, Mclean, T, Mestre, T, Minster, S, Monza, D, Townhill, J, Padieu, H, Paterski, L, Peppa, N, Koivisto, Sp, Rialland, A, Røren, N, Sasinková, P, Cubillo, Pt, Tritsch, C, van Walsem, Mr, Witjes Ané, Mn, Yudina, E, Zielonka, D, Zielonka, E, Zinzi, P, Bonelli, Rm, Herranhof, B, Holl, A, Kapfhammer, Hp, Koppitz, M, Magnet, M, Otti, D, Painold, A, Reisinger, K, Scheibl, M, Hecht, K, Lilek, S, Müller, N, Schöggl, H, Ullah, J, Brugger, F, Hepperger, C, Hotter, A, Mahlknecht, P, Nocker, M, Seppi, K, Wenning, G, Buratti, L, Hametner, Em, Holas, C, Hussl, A, Mair, K, Poewe, W, Wolf, E, Zangerl, A, Braunwarth, Em, Sinadinosa, D, Walleczek, Am, Ladurner, G, Staffen, W, Ribaï, P, Flamez, A, Morez, V, de Raedt, S, Boogaerts, A, van Reijen, D, Klempíř, J, Kucharík, M, Roth, J, Šenkárová, Z, Hasholt, L, Hjermind, Le, Jakobsen, O, Nørremølle, A, Sørensen, Sa, Stokholm, J, Nielsen, J, Hiivola, H, Martikainen, K, Tuuha, K, Peippo, M, Sipponen, M, Ignatius, J, Kärppä, M, Åman, J, Santala, M, Allain, P, Guérid, Ma, Gohier, B, Olivier, A, Prundean, A, Scherer Gagou, C, Verny, C, Babiloni, B, Debruxelles, S, Goizet, C, Lafoucrière, D, De Bruycker, C, Carette, A, Decorte, E, Delval, A, Delliaux, M, Dujardin, K, Peter, M, Plomhouse, L, Simonin, C, Thibault Tanchou, S, Bellonet, M, Duru, C, Krystkowiak, P, Roussel, M, Wannepain, S, Azulay, Jp, Chabot, C, Delphini, M, Eusebio, A, Grosjean, H, Mundler, L, Nowak, M, Rudolf, G, Steinmetz, G, Tranchant, C, Wagner, C, Zimmermann, Ma, Calvas, F, Cheriet, S, Démonet, Jf, Galitzky, M, Kosinski, Cm, Milkereit, E, Probst, D, Sass, C, Schiefer, J, Schlangen, C, Werner, Cj, Gelderblom, H, Priller, J, Prüss, H, Spruth, Ej, Andrich, J, Hoffmann, R, Kraus, Ph, Muth, S, Prehn, C, Saft, C, Salmen, S, Stamm, C, Steiner, T, Strassburger, K, Lange, H, Friedrich, A, Hunger, U, Löhle, M, Schmidt, S, Storch, A, Wolz, A, Wolz, M, Lambeck, J, Zucker, B, Boelmans, K, Ganos, C, Hidding, U, Lewerenz, J, Münchau, A, Schmalfeld, J, Stubbe, L, Zittel, S, Diercks, G, Gorzolla, H, Schrader, C, Heinicke, W, Ribbat, M, Longinus, B, Bürk, K, Möller, Jc, Rissling, I, Peinemann, A, Städtler, M, Weindl, A, Bechtel, N, Beckmann, H, Bohlen, S, Hölzner, E, Reilmann, R, Rohm, S, Rumpf, S, Schepers, S, Beister, A, Dose, M, Hammer, K, Kieni, J, Leythaeuser, G, Marquard, R, Raab, T, Richter, S, Selimbegovic Turkovic, A, Schrenk, C, Schuierer, M, Wiedemann, A, Buck, A, Connemann, J, Eschenbach, C, Landwehrmeyer, B, Lezius, F, Nepper, S, Niess, A, Süssmuth, S, Trautmann, S, Weydt, P, Cormio, C, Difruscolo, O, Sciruicchio, V, Serpino, C, de Tommaso, M, Capellari, S, Cortelli, P, Gallassi, R, Poda, R, Rizzo, G, Scaglione, C, Bertini, E, Ghelli, E, Ginestroni, A, Massaro, F, Mechi, C, Paganini, M, Piacentini, S, Pradella, S, Romoli, Am, Sorbi, S, Abbruzzese, G, di Poggio, Mb, Di Maria, E, Ferrandes, G, Mandich, P, Marchese, R, Albanese, A, Di Bella, D, Di Donato, S, Gellera, C, Genitrini, S, Mariotti, C, Nanetti, L, Paridi, D, Soliveri, P, Tomasello, C, DE MICHELE, Giuseppe, Di Maio, L, Rinaldi, Carlo, Russo, Cv, Salvatore, Elena, Tucci, T, Cannella, M, Codella, V, De Gregorio, F, De Nicola, N, Martino, T, Simonelli, M, Squitieri, F, Catalli, C, Di Giacopo, R, Fasano, A, Frontali, M, Guidubaldi, A, Ialongo, T, Jacopini, G, Loria, G, Modoni, A, Piano, C, Chiara, P, Quaranta, D, Romano, S, Soleti, F, Spadaro, M, van Hout, M, van Vugt, Jp, de Weert, Am, Bolwijn, Jj, Dekker, M, Leenders, Kl, van Oostrom, Jc, Dumas, Em, Jurgens, Ck, van den Bogaard, Sj, 't Hart, Ep, Kremer, B, Verstappen, Cc, Frich, J, Wehus, R, Aaserud, O, Borgerød, N, Bjørgo, K, Fannemel, M, Gørvell, P, Pro Koivisto, S, Retterstøl, L, Overland, T, Stokke, B, Bjørnevoll, I, Sando, Sb, Blinkenberg, Eø, Hauge, E, Tyvoll, H, Sitek, E, Slawek, J, Soltan, W, Boczarska Jedynak, M, Jasinska Myga, B, Opala, G, Kłodowska Duda, G, Banaszkiewicz, K, Szczudlik, A, Rudzińska, M, Wójcik, M, Dec, M, Krawczyk, M, Bryl, A, Ciesielska, A, Klimberg, A, Marcinkowski, J, Sempołowicz, J, Samara, H, Janik, P, Kalbarczyk, A, Kwiecinski, H, Jamrozik, Z, Antczak, J, Jachinska, K, Rakowicz, M, Richter, P, Ryglewicz, D, Witkowski, G, Zdzienicka, E, Sułek, A, Krysa, W, Júlio, F, Januário, C, Guedes, L, Coelho, M, Mendes, T, Valadas, A, Timóteo, Â, Costa, C, Vale, J, Cavaco, S, Damásio, J, Magalhães, M, Gago, M, Garrett, C, Guerra, Mr, Solis, P, Herrera, Cd, Garcia, Pm, Barrero, F, Morales, B, Cubo, E, Mariscal, N, Alonso Frech, F, Perez, Mr, Fenollar, M, García, Rg, Quiroga, Pp, Rivera, Sv, Villanueva, C, Bascuñana, M, Ventura, Mf, Ribas, Gg, de Yébenes, Jg, Moreno, Jl, Ruíz, Pj, Martínez Descals, A, Artiga, Mj, Sánchez, V, Perea, Mf, Lorenza, F, Torres, Mm, Reinante, G, Moreau, Lv, Barbera, Ma, Guia, Db, Hernanz, Lc, Catena, Jl, Ferrer, Pq, Carruesco, Gt, Bas, J, Busquets, N, Calopa, M, Buongiorno, Mt, Muñoz, E, Elorza, Md, López, Cd, Terol, Sd, Robert, Mf, Ruíz, Bg, Casado, Ag, Martínez, Ih, Viladrich, Cm, Pons i., Càrdenas R, Roca, E, Llesoy, Jr, Idiago, Jm, Vergara, Mr, García, S, Villa Riballo, A, González, Sg, Guisasola, Lm, Salvador, C, San Martín, E, Gorospe, A, Legarda, I, Arques, Pn, Rodríguez, Mj, Vives, B, Gaston, I, Ramos Arroyo, Ma, Moreno, Jm, Peña, Jc, Avarvarei, Ld, Bastida, Am, Recio, Mf, Vergé, Lr, Carrillo, F, Cáceres, Mt, Mir, P, Suarez, Mj, Bosca, M, Burguera, Ja, Garcia, Ac, Martínez, Lm, del Val, Jl, Loutfi, G, Olofsson, C, Stattin, El, Westman, L, Wikström, B, Höglund, A, Pålhagen, Se, Paucar, M, Sandström, B, Soltani, R, Svenningsson, P, Reza Soltani, Tw, Constantinescu, R, Fredlund, G, Høsterey Ugander, U, Neleborn Lingefjärd, L, Esmaeilzadeh, M, Tedroff, J, Winnberg, E, Björn, Y, Ekwall, C, Gøller, Ml, Johansson, A, Wiklund, L, Petersen, Å, Reimer, J, Widner, H, Burgunder, Y, Stebler, Y, Kaelin, A, Romero, I, Schüpbach, M, Zaugg, Sw, Jack, R, Matheson, K, Miedzybrodzka, Z, Rae, D, Simpson, S, Summers, F, Ure, A, Crooks, J, Curtis, A, de Souza Keylock, J, Rickards, H, Wright, J, Hayward, B, Sieradzan, K, Wright, A, Barker, Ra, Di Pietro, A, Fisher, K, Goodman, A, Hill, S, Kershaw, A, Mason, S, Paterson, N, Raymond, L, Bisson, J, Busse, M, Clenaghan, C, Ellison Rose, L, Handley, O, Hunt, S, Price, K, Rosser, A, Edwards, M, Hughes, T, Mcgill, M, Pearson, P, Porteous, M, Smith, P, Zeman, A, Causley, A, Harrower, T, Howcroft, D, Lambord, N, Rankin, J, Brockie, P, Foster, J, Johns, N, Mckenzie, S, Rothery, J, Thomas, G, Yates, S, Miller, J, Ritchie, S, Burrows, L, Fletcher, A, Harding, A, Laver, F, Silva, M, Thomson, A, Burns, P, Chu, C, Evans, C, Hamer, S, Markova, I, Raman, A, Barnes, K, Hobson, E, Jamieson, S, Thomson, J, Toscano, J, Wild, S, Yardumian, P, Bourne, C, Clayton, C, Dipple, H, Clapton, J, Grant, D, Hallam, C, Middleton, J, Murch, A, Patino, D, Bate, L, Pate, L, Andrews, T, Dougherty, A, Kavalier, F, Golding, C, Lashwood, A, Robertson, D, Ruddy, D, Whaite, A, Patton, M, Peterson, M, Rose, S, Bruno, S, Chu, E, Doherty, K, Henley, S, Lahiri, N, Novak, M, Patel, A, Read, J, Rosser, E, Say, M, Tabrizi, S, Taylor, R, Warner, T, Wild, E, Arran, N, Callaghan, J, Craufurd, D, Fullam, R, Howard, L, Huson, S, Oughton, E, Partington Jones, L, Snowden, J, Sollom, A, Stopford, C, Thompson, J, Trender Gerhad, I, Verstraelen, N, Westmoreland, L, Nemeth, Ah, Siuda, G, Harrison, D, Hughes, M, Parkinson, A, Soltysiak, B, Burn, J, Coleman, C, Majeed, T, Verstraelen Ritchie, N, Bandmann, O, Bradbury, A, Gill, P, Fairtlough, H, Fillingham, K, Foustanos, I, O'Donovan, K, Tidswell, K, Quarrell, O., Faculty of Economic and Social Sciences and Solvay Business School, Neurology, Clinical sciences, Neuroprotection & Neuromodulation, Orth M., European Huntington's Disease Network, Handley O.J., Schwenke C., Dunnet S., Wild E.J., Tabrizi S.J., Landwehrmeyer G.B., Capellari S., Cortelli P., Gallassi R., Poda R., Rizzo G., and Scaglione C.
Subjects: Gerontology, medicine.medical_specialty, Neurology, International Cooperation, Disease, Irritability, Data Collection/methods, Huntington's disease, medicine, Humans, Registries, Psychiatry, Suicidal ideation, Disease burden, business.industry, Data Collection, medicine.disease, Europe, Huntington Disease, Psychiatry and Mental health, European Huntington's Disease Network, Surgery, Observational study, Neurology (clinical), medicine.symptom, business
Abstract: BACKGROUND: Huntington's disease (HD) is a rare triplet repeat (CAG) disorder. Advanced, multi-centre, multi-national research frameworks are needed to study simultaneously multiple complementary aspects of HD. This includes the natural history of HD, its management and the collection of clinical information and biosamples for research. METHODS: We report on cross-sectional data of the first 1766 participants in REGISTRY, the European Huntington's Disease Network's (EHDN), multi-lingual, multi-national prospective observational study of HD in Europe. Data collection (demographics, phenotype, genotype, medication, co-morbidities, biosamples) followed a standard protocol. RESULTS: Phenotype, and the HD genotype, of manifest HD participants across different European regions was similar. Motor onset was most common (48%) with a non-motor onset in more than a third of participants. Motor signs increased, and cognitive abilities and functional capacity declined as the disease burden (CAGn-35.5) X age) increased. A life-time history of behavioural symptoms was common, but the behavioural score was not related to disease burden. One fifth of participants had severe psychiatric problems, e.g. suicidal ideation and attempts, and/or irritability/aggression, with psychosis being less common. Participants on anti-dyskinetic medication had a higher motor and lower cognitive score, were older, and more prone to physical trauma. A higher motor and a lower cognitive score predicted more advanced disease. CONCLUSIONS: The unparalleled collection of clinical data and biomaterials within the EHDN's REGISTRY can expedite the search for disease modifiers (genetic and environmental) of age at onset and disease progression that could be harnessed for the development of novel treatments.
Published: 2011

5. Autonomous exploration: driven by uncertainty

Author: P. Whaite and Frank P. Ferrie
Subjects: Computer science, business.industry, Applied Mathematics, media_common.quotation_subject, Inference, Fidelity, Mobile robot, Dilemma, Computational Theory and Mathematics, Action (philosophy), Artificial Intelligence, Computer Vision and Pattern Recognition, Motion planning, Artificial intelligence, Active vision, business, Software, media_common
Abstract: Passively accepting measurements of the world is not enough, as the data we obtain is always incomplete, and the inferences made from it uncertain to a degree which is often unacceptable. If we are to build machines that operate autonomously, they will always be faced with this dilemma, and can only be successful if they play a much more active role. This paper presents such a machine. It deliberately seeks out those parts of the world which maximize the fidelity of its internal representations, and keeps searching until those representations are acceptable. We call this paradigm autonomous exploration, and the machine an autonomous explorer. This paper has two major contributions. The first is a theory that tells us how to explore, and which confirms the intuitive ideas we have put forward previously. The second is an implementation of that theory. In our laboratory, we have constructed a working autonomous explorer and here, for the first time, show it in action. The system is entirely bottom-up and does not depend on any a priori knowledge of the environment. To our knowledge, it is the first to have successfully closed the loop between gaze planning and the inference of complex 3D models.
Published: 1997
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6. On the sequential determination of model misfit

Author: P. Whaite and Frank P. Ferrie
Subjects: Structure (mathematical logic), business.industry, Computer science, Applied Mathematics, Machine learning, computer.software_genre, Noise, Computational Theory and Mathematics, Artificial Intelligence, Segmentation, Computer Vision and Pattern Recognition, Artificial intelligence, Active vision, business, Algorithm, computer, Software, Abstraction (linguistics)
Abstract: Many strategies in computer vision assume the existence of general purpose models that can be used to characterize a scene or environment at various levels of abstraction. The usual assumptions are that a selected model is competent to describe a particular attribute and that the parameters of this model can be estimated by interpreting the input data in an appropriate manner (e.g., location of lines and edges, segmentation into parts or regions, etc.). This paper considers the problem of how to determine when those assumptions break down. The traditional approach is to use statistical misfit measures based on an assumed sensor noise model. The problem is that correct operation often depends critically on the correctness of the noise model. Instead, we show how this can be accomplished with a minimum of a priori knowledge and within the framework of an active approach which builds a description of environment structure and noise over several viewpoints.
Published: 1997
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7. Parametric shape recognition using a probabilistic inverse theory

Author: Tal Arbel, P. Whaite, and Frank P. Ferrie
Subjects: business.industry, Probabilistic logic, Conditional probability, Probability density function, Statistical model, Conditional probability distribution, Machine learning, computer.software_genre, Artificial Intelligence, Signal Processing, Pattern recognition (psychology), Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithm, computer, Reference model, Software, Parametric statistics, Mathematics
Abstract: This paper describes a new framework for parametric shape recognition based on a probabilistic model of inverse theory first introduced by Tarantola. The key result is a method for generating classifiers in the form of conditional probability densities for recognizing an unknown from a set of reference models. Our procedure is automatic. Off-line, it invokes an autonomous process to estimate reference model parameters and their statistics. On-line, during measurement, it combines these with a priori context-dependent information, as well as the parameters and statistics estimated for an unknown object, into a single description. That description, a conditional probability density function, represents the likelihood of correspondence between the unknown and a particular reference model. The paper also describes the implementation of this procedure in a system for automatically generating and recognizing 3-D part-oriented models. Specifically we show that recognition performance is near perfect for cases in which complete surface information is accessible to the algorithm, and that it falls off gracefully (minimal false-positive response) when only partial information is available. This leads to the possibility of an active recognition strategy in which the belief measures associated with each classification can be used as feedback for the acquisition of further evidence as required.
Published: 1996
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8. Discrepancies in reporting the CAG repeat lengths for Huntington's disease

Author: Quarrell, Ow, Handley, O, O'Donovan, K, Dumoulin, C, Ramos Arroyo, M, Biunno, I, Bauer, P, Kline, M, Landwehrmeyer, Gb, Barth, K, Correia Guedes, L, Maria Finisterra, A, Bascuñana Garde, M, Bos, R, Ecker, D, Held, C, Koppers, K, Laurà, M, Martínez Descals, A, Mclean, T, Mestre, T, Minster, S, Monza, D, Townhill, J, Orth, M, Padieu, H, Paterski, L, Peppa, N, Koivisto, Sp, Rialland, A, Røren, N, Šašinková, P, Cubillo, Pt, van Walsem MR, Witjes Ané MN, Yudina, E, Zielonka, D, Zielonka, E, Zinzi, P, Bachoud Lévi AC, Bentivoglio, Ar, Bonelli, R, Burgunder, Jm, Dunnett, Sb, Ferreira, Jj, Handley, Oj, Heiberg, A, Illmann, T, Levey, J, Nielsen, Je, Päivärinta, M, Roos, Ra, Rojo Sebastián, A, Tabrizi, Sj, Vandenberghe, W, Verellen Dumoulin, C, Zaremba, J, Uhrova, T, Wahlström, J, Bonelli, Rm, Herranhof, B, Holl, A, Kapfhammer, Hp, Koppitz, M, Magnet, M, Otti, D, Painold, A, Reisinger, K, Scheibl, M, Hecht, K, Lilek, S, Müller, N, Schöggl, H, Ullah, J, Brugger, F, Hepperger, C, Hotter, A, Mahlknecht, P, Nocker, M, Seppi, K, Wenning, G, Buratti, L, Hametner, Em, Holas, C, Hussl, A, Mair, K, Poewe, W, Wolf, E, Zangerl, A, Braunwarth, Em, Ribaï, P, Flamez, A, Morez, V, de Raedt, S, Boogaerts, A, van Reijen, D, Klempíř, J, Kucharík, M, Roth, J, Hjermind, Le, Jakobsen, O, Stokholm, J, Hasholt, L, Nørremølle, A, Sørensen, Sa, Hiivola, H, Martikainen, K, Tuuha, K, Peippo, M, Sipponen, M, Kosinski, Cm, Milkereit, E, Probst, D, Sass, C, Schiefer, J, Schlangen, C, Werner, Cj, Gelderblom, H, Priller, J, Prüss, H, Spruth, Ej, Andrich, J, Hoffmann, R, Kraus, Ph, Muth, S, Prehn, C, Saft, C, Salmen, S, Stamm, C, Steiner, T, Strassburger, K, Lange, H, Friedrich, A, Hunger, U, Löhle, M, Schmidt, S, Storch, A, Wolz, A, Wolz, M, Lambeck, J, Zucker, B, Boelmans, K, Ganos, C, Hidding, U, Lewerenz, J, Münchau, A, Schmalfeld, J, Stubbe, L, Zittel, S, Heinicke, W, Longinus, B, Uni, M, Bürk, K, Möller, Jc, Rissling, I, Peinemann, A, Städtler, M, Weindl, A, Bechtel, N, Beckmann, H, Bohlen, S, Hölzner, E, Reilmann, R, Rohm, S, Rumpf, S, Schepers, S, Beister, A, Dose, M, Hammer, K, Kieni, J, Leythaeuser, G, Marquard, R, Raab, T, Richter, S, Selimbegovic Turkovic, A, Schrenk, C, Schuierer, M, Wiedemann, A, Buck, A, Connemann, J, Eschenbach, C, Landwehrmeyer, B, Lezius, F, Nepper, S, Niess, A, Süssmuth, S, Trautmann, S, Weydt, P, Cormio, C, Difruscolo, O, Sciruicchio, V, Serpino, C, de Tommaso, M, Capellari, S, Cortelli, P, Gallassi, R, Poda, R, Rizzo, G, Scaglione, C, Bertini, E, Ghelli, E, Ginestroni, A, Massaro, F, Mechi, C, Paganini, M, Piacentini, S, Pradella, S, Romoli, Am, Sorbi, S, Abbruzzese, G, Bandettini di Poggio, M, Di Maria, E, Ferrandes, G, Mandich, P, Marchese, R, Albanese, A, Di Bella, D, Di Donato, S, Gellera, C, Genitrini, S, Mariotti, C, Nanetti, L, Paridi, D, Soliveri, P, Tomasello, C, De Michele, G, Di Maio, L, Rinaldi, C, Valeria Russo, C, Salvatore, E, Tucci, T, Cannella, M, Codella, V, De Gregorio, F, De Nicola, N, Martino, T, Simonelli, M, Squitieri, F, Catalli, C, Di Giacopo, R, Fasano, A, Frontali, M, Guidubaldi, A, Ialongo, T, Jacopini, G, Loria, G, Modoni, A, Piano, C, Piccininni, C, Quaranta, D, Romano, Silvia, Soleti, F, Spadaro, M, van Hout MS, van Vugt JP, Marit de Weert, A, Bolwijn, Jj, Dekker, M, Leenders, Kl, van Oostrom JC, Dumas, Em, Jurgens, Ck, van den Bogaard SJ, 't Hart EP, Kremer, B, Verstappen, Cc, Aaserud, O, Wehus, R, Bjørgo, K, Fannemel, M, Gørvell, P, Retterstøl, L, Overland, T, Stokke, B, Bjørnevoll, I, Sando, Sb, Sitek, E, Slawek, J, Soltan, W, Boczarska Jedynak, M, Jasinska Myga, B, Opala, G, Kodowska Duda, G, Banaszkiewicz, K, Szczudlik, A, Rudziñska, M, Wójcik, M, Dec, M, Krawczyk, M, Bryl, A, Ciesielska, A, Klimberg, A, Marcinkowski, J, Sempoowicz, J, Samara, H, Janik, P, Kalbarczyk, A, Kwiecinski, H, Jamrozik, Z, Antczak, J, Jachinska, K, Rakowicz, M, Richter, P, Ryglewicz, D, Witkowski, G, Zdzienicka, E, Suek, A, Krysa, W, Guedes, L, Coelho, M, Mendes, T, Valadas, A, Cavaco, S, Damásio, J, Magalhães, M, Gago, M, Garrett, C, Guerra, Mr, Barrero, F, Morales, B, Cubo, E, Mariscal, N, Sánchez, J, Alonso Frech, F, Rabasa Perez, M, Fenollar, M, García, R, Quiroga, Pp, Vázquez Rivera, S, Villanueva, C, Bascuñana, M, Fatás Ventura, M, García Ribas, G, García de Yébenes, J, López Sendón Moreno JL, García Ruíz PJ, José Saiz Artiga, M, Sánchez, V, Noguera Perea, F, Lorenza, F, Torres, Mm, Reinante, G, Vivancos Moreau, L, Barbera, Ma, Badenes Guia, D, Hernanz, Lc, Catena, Jl, Ferrer, Pq, Tome Carruesco, G, Bas, J, Busquets, N, Calopa, M, Dalmau Elorza, M, Díez, C, López, A, Durán, S, Terol, S, Floriach Robert, M, Garzón Ruíz, B, González Casado, A, Haro Martínez, I, Viladrich, Cm, Càrdenas R, Pons i., Roca, E, Llesoy, Jr, Ruiz Idiago JM, Ruíz Vergara, M, Soriano García, S, Villa Riballo, A, Gorospe, A, Legarda, I, Arques, Pn, Torres Rodríguez MJ, Vives, B, Gaston, I, Bosca, M, Burguera, Ja, Garcia, Ac, Pålhagen, Se, Paucar, M, Svenningsson, P, Walldén Reza Soltani, T, Höglund, A, Sandström, B, Høsterey Ugander, U, Fredlund, G, Constantinescu, R, Neleborn Lingefjärd, L, Tedroff, J, Esmaeilzadeh, M, Winnberg, E, Burgunder, Y, Stebler, Y, Kaelin, A, Romero, I, Schüpbach, M, Zaugg, Sw, Jack, R, Matheson, K, Miedzybrodzka, Z, Rae, D, Simpson, S, Summers, F, Ure, A, Crooks, J, Curtis, A, de Souza, J, Rickards, H, Wright, J, Barker, Ra, Di Pietro, A, Fisher, K, Goodman, A, Hill, S, Kershaw, A, Mason, S, Paterson, N, Raymond, L, Bisson, J, Busse, M, Clenaghan, C, Ellison Rose, L, Hunt, S, Price, K, Rosser, A, Edwards, M, Hughes, T, Mcgill, M, Pearson, P, Porteous, M, Smith, P, Zeman, A, Causley, A, Harrower, T, Howcroft, D, Lambord, N, Rankin, J, Brockie, P, Foster, J, Johns, N, Mckenzie, S, Rothery, J, Thomas, G, Yates, S, Miller, J, Ritchie, S, Burrows, L, Fletcher, A, Harding, A, Laver, F, Silva, M, Thomson, A, Barnes, K, Chu, C, Hobson, E, Jamieson, S, Markova, I, Thomson, J, Toscano, J, Wild, S, Yardumian, P, Bourne, C, Clayton, C, Dipple, H, Clapton, J, Grant, J, Gross, D, Hallam, C, Middleton, J, Murch, A, Patino, D, Andrews, T, Dougherty, A, Kavalier, F, Golding, C, Lashwood, A, Robertson, D, Ruddy, D, Whaite, A, Patton, M, Peterson, M, Rose, S, Bruno, S, Chu, E, Doherty, K, Henley, S, Lahiri, N, Novak, M, Patel, A, Read, J, Rosser, E, Say, M, Tabrizi, S, Taylor, R, Warner, T, Wild, E, Arran, N, Callaghan, J, Craufurd, D, Fullam, R, Howard, L, Huson, S, Oughton, E, Partington Jones, L, Snowden, J, Sollom, A, Stopford, C, Thompson, J, Trender Gerhad, I, Verstraelen, N, Westmoreland, L, Nemeth, Ah, Suida, G, Harrison, D, Hughes, M, Parkinson, A, Soltysiak, B, Bandmann, O, Bradbury, A, Gill, P, Fairtlough, H, Fillingham, K, Foustanos, I, Tidswell, K., Kaelin, André, Quarrel O.W., Handley O., O'Donovan K., Dumoulin C., Ramos-Arroyo M., Biunno I., Bauer P., Kline M., Capellari S., Cortelli P., Gallassi R., Landwehrmeyer G.B., European Huntington's Disease Network., Neurology, Clinical sciences, Neuroprotection & Neuromodulation, Quarrell, Ow, Handley, O, O'Donovan, K, Dumoulin, C, Ramos Arroyo, M, Biunno, I, Bauer, P, Kline, M, Landwehrmeyer, Gb, European Huntington's Disease, Network, European Huntington's Disease, N. e. t. w. o. r. k., Rinaldi, Carlo, Salvatore, Elena, and DE MICHELE, Giuseppe
Subjects: medicine.medical_specialty, Concordance, International Cooperation, Diagnostic Errors/statistics & numerical data, Nerve Tissue Proteins, Guidelines as Topic, Bioinformatics, Sensitivity and Specificity, Article, Huntingtin Gene, Huntington's disease, Trinucleotide Repeats, Internal medicine, External quality assessment, Genetics, medicine, Humans, Nerve Tissue Proteins/genetics, Diagnostic laboratory, Genetic Testing, Genetic Testing/methods/standards, Allele, Diagnostic Errors, standard reference material, Genetics (clinical), Alleles, Huntingtin Protein, ddc:618, business.industry, international cooperation, Nuclear Proteins, Reproducibility of Results, Reference Standards, medicine.disease, CAG repeat length, Nuclear Proteins/genetics, Huntington Disease, Huntington Disease/diagnosis, Mutation, Medical genetics, reproducibility of results, mutation, business, Trinucleotide repeat expansion, Huntington Disease/diagnosis/genetics, Genetic Testing/methods
Abstract: Huntington's disease results from a CAG repeat expansion within the Huntingtin gene; this is measured routinely in diagnostic laboratories. The European Huntington's Disease Network REGISTRY project centrally measures CAG repeat lengths on fresh samples; these were compared with the original results from 121 laboratories across 15 countries. We report on 1326 duplicate results; a discrepancy in reporting the upper allele occurred in 51% of cases, this reduced to 13.3% and 9.7% when we applied acceptable measurement errors proposed by the American College of Medical Genetics and the Draft European Best Practice Guidelines, respectively. Duplicate results were available for 1250 lower alleles; discrepancies occurred in 40% of cases. Clinically significant discrepancies occurred in 4.0% of cases with a potential unexplained misdiagnosis rate of 0.3%. There was considerable variation in the discrepancy rate among 10 of the countries participating in this study. Out of 1326 samples, 348 were re-analysed by an accredited diagnostic laboratory, based in Germany, with concordance rates of 93% and 94% for the upper and lower alleles, respectively. This became 100% if the acceptable measurement errors were applied. The central laboratory correctly reported allele sizes for six standard reference samples, blind to the known result. Our study differs from external quality assessment (EQA) schemes in that these are duplicate results obtained from a large sample of patients across the whole diagnostic range. We strongly recommend that laboratories state an error rate for their measurement on the report, participate in EQA schemes and use reference materials regularly to adjust their own internal standards.
Published: 2012

9. Making it happen — a U.K. patent office training programme on laser discs

Author: Roland Whaite
Subjects: Patent office, Renewable Energy, Sustainability and the Environment, Process Chemistry and Technology, media_common.quotation_subject, Innovation process, Energy Engineering and Power Technology, Industrial property, Bioengineering, Library and Information Sciences, Barcode, Computer Science Applications, law.invention, Engineering management, Fuel Technology, law, Initial phase, Operations management, Business, Publicity, Training programme, media_common
Abstract: The development of an elaborate training and publicity programme by the U.K. office is described. The initial phase comprised a Roadshow which toured the country explaining the importance of industrial property to representatives of industry and educational institutions. Out of this was developed a patent training package on two laser discs with barcode access to the various topics covered. This initial package has now been expanded into a four-disc system providing a guide to the whole innovation process from the first innovative idea, through the steps of commercial evaluation and on to the alternative options of exploitation by the originator or by licensing, and it incorporates the original “Patent Training Package”. The package is available as a whole or in individual sections.
Published: 1994
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10. NMDA receptor gene variations as modifiers in Huntington disease

Author: Saft, C, Epplen, Jt, Wieczorek, S, Landwehrmeyer, Gb, Roos, Ra, de Yebenes JG, Dose, M, Tabrizi, Sj, Craufurd, D, Arning, L, Barth, K, Bascuñana Garde, M, Bos, R, Ecker, D, Handley, O, Heinonen, N, Held, C, Laurà, M, Martínez Descals, A, Mestre, T, Monza, D, Naji, J, Orth, M, Padieu, H, Pro Koivisto, S, Rialland, A, Sasinková, P, Trigo Cubillo, P, van Walsem, M, Witjes Ané MN, Zielonka, D, Bonelli, R, Herranhof, B, Hödl, A, Kapfhammer, Hp, Koppitz, M, Magnet, M, Otti, D, Painold, A, Reisinge, K, Brugger, F, Hepperger, C, Hotter, A, Mahlknecht, P, Nocker, M, Seppi, K, Wenning, G, Ribaï, P, Verellen Dumoulin, C, Klempíř, J, Kucharik, M, Roth, J, Hasholt, L, Hjermind, L, Jakobsen, O, Nielsen, J, Nørremølle, A, Sørensen, S, Stokholm, J, Hiivola, H, Martikainen, K, Tuuha, K, Kosinski, C, Probst, D, Sass, C, Schiefer, J, Schlangen, C, Werner, C, Lange, H, Löhle, M, Storch, A, Wolz, A, Wolz, M, Lambeck, J, Zucker, B, Münchau, A, Stubbe, L, Zittel, S, Heinicke, W, Longinus, B, Peinemann, A, Städtler, M, Weindl, A, Bohlen, S, Reilmann, R, Beister, A, Hammer, K, Leythaeuser, G, Marquard, R, Raab, T, Schrenk, C, Schuierer, M, Wiedemann, A, Eschenbach, C, Landwehrmeyer, B, Lezius, F, Trautmann, S, Cormio, C, Difruscolo, O, de Tommaso, M, Sciruicchio, V, Serpino, C, Bertini, E, Mechi, C, Paganini, M, Piacentini, S, Romoli, M, Sorbi, S, Abbruzzese, G, Di Maria, E, Bandettini di Poggio Giovanna Ferrandes, M, Mandich, P, Marchese, R, Albanese, A, Di Donato, S, Mariotti, C, Soliveri, P, Gellera, C, Tomasello, C, Nanetti, L, Luigi, D, De Michele, G, Rinaldi, C, Russo, C, Salvatore, E, Tucci, T, Squitieri, F, Martino, T, Orobello, S, Alberti, S, De Gregorio, F, Codella, V, De Nicola, N, Maglione, V, Bentivoglio, A, Fasano, A, Frontali, M, Guidubaldi, A, Ialongo, T, Jacopini, G, Loria, G, Piano, C, Romano, Silvia, Soleti, F, Spadaro, M, Zinzi, P, Heiberg, A, Bjørgo, K, Fannemel, M, Gørvell, P, Retterstøl, L, Bjørnevoll, I, Botne Sando, S, Slawek, J, Soltan, W, Sitek, E, Boczarska Jedynak, M, Jasinska Myga, B, Opala, G, Szczudlik, A, Rudzińska, M, Wójcik, M, Banaszkiewicz, K, Krawczyk, M, Marcinkowski, J, Ciesielska, A, Sempołowicz, J, Bryl, A, Klimberg, A, Janik, P, Kalbarczyk, A, Kwiecinski, H, Jamrozik, Z, Witkowski, G, Ryglewicz, D, Antczak, J, Rakowicz, M, Jachinska, K, Zdzienicka, E, Richter, P, Zaremba, J, Coelho, M, Ferreira, J, Rosa, M, Valadas, A, Gago, M, Garrett, C, Guerra, M, Barrero, F, Morales, B, López Sendón Moreno, J, Cubo, E, Mariscal, N, Sánchez, J, García, R, Villanueva, C, Pin Quiroga, P, Bascuñana, M, Fatàas, M, Luis López Moreno, J, García Ribas, G, Schwarz, C, de Yébenes JG, José Saiz Artiga, M, García Ruíz, P, Sánchez, V, Fortuna Alcaraz, L, Fuensanta Noguera Perea, M, Martirio Antequera Torres, M, Vivancos Moreau, L, Rojo Sebastian, A, Aguilar Barbera, M, Badenes Guia, D, Casas Hernanz, L, Tome Carruesco, G, Suarez San Martin, E, López Catena, J, Bas, J, Calopa, M, Busquets, N, Navas Arques, P, Gorospe, A, Legarda, I, José Torres Rodríguez, M, Vives, B, Carrillo, F, Mir, P, José Lama Suarez, M, Loutfi, G, Stattin, El, Westman, L, Wikström, B, Pålhagen, S, Björnsson, E, Burgunder, Jm, Romero, I, Schüpbach, M, Weber Zaugg, S, van Hout, M, van Vugt, J, Marit de Weert, A, Bolwijn, Jj, Dekker, M, Leenders, Kl, van Oostrom JC, Dumas, E, Jurgens, C, van den Bogaard SA, Roos, R, Kremer, B, Verstappen, Cc, de Souza, J, Rickards, H, Wright, J, Barker, R, Fisher, K, Goyder Goodman, A, Hill, S, Kershaw, A, Mason, S, Paterson, N, Raymond, L, Bisson, J, Busse, M, Ellison Rose, L, Hunt, S, Price, K, Rosser, A, Dunnett, S, Edwards, M, De Sousa, P, Hughes, T, Mcgill, M, Pearson, P, Porteous, M, Smith, P, Zeman, A, Lambord, N, Rankin, J, Burrows, L, Fletcher, A, Laver, F, Silva, M, Thomson, A, Andrews, T, Dougherty, A, Kavalier, F, Golding, C, Lashwood, A, Robertson, D, Ruddy, D, Whaite, A, Patton, M, Patterson, M, Bourne, C, Clayton, C, Dipple, H, Clapton, J, Grant, J, Gross, D, Hallam, C, Middleton, J, Murch, A, Patino, D, Bruno, S, Chu, E, Doherty, K, Lahiri, N, Novak, M, Patel, A, Tabrizi, S, Taylor, R, Warner, T, Wild, E, Arran, N, Fullam, R, Howard, L, Huson, S, Partington Jones, L, Verstraelen, N, Snowden, J, Sollom, A, Stopford, C, Thompson, J, Westmoreland, L, Nemeth, A, Siuda, G, Bandmann, O, Bradbury, A, Fillingham, K, Foustanos, I, Tidswell, K, and Quarrell, O.
Subjects: Genetics, biology, business.industry, Medicine (miscellaneous), Disease, Bioinformatics, Huntington Disease, Cohort, biology.protein, Medicine, GRIN2A, NMDA receptor, GRIN2B, business, Trinucleotide repeat expansion, Gene, Modifier Genes
Abstract: Several candidate modifier genes which, in addition to the pathogenic CAG repeat expansion, influence the age at onset (AO) in Huntington disease (HD) have already been described. The aim of this study was to replicate association of variations in the N-methyl D-aspartate receptor subtype genes GRIN2A and GRIN2B in the "REGISTRY" cohort from the European Huntington Disease Network (EHDN). The analyses did replicate the association reported between the GRIN2A rs2650427 variation and AO in the entire cohort. Yet, when subjects were stratified by AO subtypes, we found nominally significant evidence for an association of the GRIN2A rs1969060 variation and the GRIN2B rs1806201 variation. These findings further implicate the N-methyl D-aspartate receptor subtype genes as loci containing variation associated with AO in HD.
Published: 2011

11. Darboux frames, snakes, and super-quadrics: geometry from the bottom-up

Author: Frank P. Ferrie, P. Whaite, and J. Lagarde
Subjects: Surface (mathematics), Basis (linear algebra), business.industry, Applied Mathematics, Geometry, Solid modeling, Computational geometry, Curvature, Set (abstract data type), Computational Theory and Mathematics, Differential geometry, Artificial Intelligence, Superquadrics, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, business, Representation (mathematics), Software, Mathematics
Abstract: A representation and a computational model for deriving three-dimensional articulated volumetric descriptions of objects from laser range-finder data are described. What differentiates this work from other approaches is that it is purely bottom up, relying on general assumptions cast in terms of differential geometry. Darboux frames, snakes, and superquadrics form the basis of this representation, and curvature consistency provides the computational framework. The organization is hierarchical. Darboux frames are used to describe the local surface, while snakes are used to interpolate between features, particularly those that serve to partition a surface into its constituent parts. Superquadrics are subsequently used to characterize the 3-D shape of each surface partition. The result is a set of connected volumetric primitives which serve to describe the overall shape of an object. A set of examples showing how the approach performs on data acquired with a laser range finder is included. >
Published: 2003
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12. Active exploration: Knowing when we're wrong

Author: P. Whaite and Frank P. Ferrie
Subjects: Active contour model, business.industry, Computer science, Variance (accounting), Viewpoints, Machine learning, computer.software_genre, Active appearance model, Interpretation (model theory), Artificial intelligence, Graph cuts in computer vision, business, Active vision, computer, Abstraction (linguistics)
Abstract: Many strategies in computer vision assume the existence of general purpose models that can be used to characterize a scene or environment at various levels of abstraction. The usual assumptions are that a selected model is competent to describe a particular attribute and that the parameters of this model can be estimated by interpreting the input data in an appropriate manner. The authors consider the problem of determining when these assumptions break down so that an alternate model may be considered or further interpretation of data performed. Specifically, how this can be accomplished is analyzed within the framework of an approach that actively builds a description of the environment from several different viewpoints. It is shown that a gaze planning strategy used to minimize model parameter variance can also be used to decide whether the model itself provides an adequate description of the environment. >
Published: 2002
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13. Recognizing volumetric objects in the presence of uncertainty

Author: Tal Arbel, P. Whaite, and Frank P. Ferrie
Subjects: Set (abstract data type), Regular conditional probability, Computer science, business.industry, Conditional probability, Pattern recognition, Conditional probability distribution, Artificial intelligence, Density estimation, business, Parametric statistics
Abstract: This paper describes a new framework for parametric shape recognition. The key result is a method for generating classifiers in the form of conditional probability densities for recognizing an unknown from a set of reference models. The authors' procedure is automatic. Off-line, it invokes an autonomous process to estimate reference model parameters and their statistics. On-line, during measurement, it combines these with a priori context-dependent information, as well as the parameters and statistics estimated for an unknown object, into a conditional probability density function, which represents the belief that the unknown is a particular reference model. The paper also describes the implementation of this procedure in a system for automatically generating and recognizing 3-D part-oriented models. The authors show that recognition performance is near perfect for cases in which complete surface information is accessible to the algorithm, and that it falls off gracefully when only partial information is available. This leads to the possibility of an active recognition strategy in which the belief measures associated with each classification can be used as feedback for the acquisition of further evidence as required.
Published: 2002
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14. From uncertainty to visual exploration

Author: Frank P. Ferrie and P. Whaite
Subjects: Superellipsoid, Visual perception, Computer science, business.industry, Applied Mathematics, media_common.quotation_subject, Interpretation (philosophy), Probabilistic logic, Local property, Context (language use), Ambiguity, Parameter space, Computational geometry, Ellipsoid, Interpretation (model theory), Computational Theory and Mathematics, Artificial Intelligence, Perception, Computer Vision and Pattern Recognition, Artificial intelligence, Representation (mathematics), business, Software, Mathematics, media_common
Abstract: The question posed is what can be inferred from ambiguity in processes of visual interpretation? Much emphasis is naturally placed on the form of constraints used to minimize ambiguity, particularly as they pertain to such issues as perceptual acceptability. The authors feel that it is perhaps more instructive to consider what can be learned from situations where different interpretations of data are possible, i.e., the ambiguity of perception. This immediately raises a number of issues regarding the characterization of ambiguity, communicating it to other visual processes, and using ambiguity to further refine visual interpretation. The context in which the authors discuss these problems is the interpretation of scene geometry in the form of volumetric models. They describe a representation for ambiguity in terms of an ellipsoid of confidence in which there is a finite probability that the true parameters of the model can be found. >
Published: 2002
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15. In vitro Diagnostic Medical Devices

Author: Robin Whaite, Gonzalo Ulloa, Bernhard Maassen, Giovanni Forlani, Jeremy Marriage, and Wilhelm Kewenig
Subjects: Pathology, medicine.medical_specialty, business.industry, Medicine, business, In vitro diagnostic
Published: 1994
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16. Autonomous exploration: driven by uncertainty

Author: Ferrie and Whaite
Subjects: Dilemma, Computer science, business.industry, media_common.quotation_subject, Fidelity, Inference, Artificial intelligence, business, Gaze, media_common
Abstract: Passively accepting measurements of the world is not enough, as the data we obtain is always incomplete, and the inferences made from it are uncertain to a degree which is often unacceptable. If we are to build machines that operate autonomously they will always be faced with this dilemma, and can only be successful if they play a much more active role. This paper presents such a machine. It deliberately seeks out those parts of the world which maximize the fidelity of its internal representations, and keeps searching until those representations are acceptable. We call this paradigm autonomous exploration, and the machine an a autonomous explorer. This paper has two major contributions. The first is a theory that tells us how to explore, and which confirms the intuitive ideas we have put forward previously. The second is an implementation of that theory. The system is entirely bottom-up and does not depend on a priori knowledge of the environment. To our knowledge it is the first to have successfully closed the loop between gaze planning and the inference of complex 3D models. >
Published: 1994
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17. Model building and autonomous exploration

Author: Frank P. Ferrie and P. Whaite
Subjects: Engineering, Observer (quantum physics), business.industry, Process (engineering), media_common.quotation_subject, Data modeling, Upload, Human–computer interaction, A priori and a posteriori, Robot, Artificial intelligence, business, Function (engineering), Model building, media_common
Abstract: We define autonomous exploration as a process by which an active observer can interact with its surroundings, e.g., by intentionally moving around and collecting information, in order to learn about its environment. Such an ability is essential for autonomous systems that must operate in unstructured environments, i.e., where it is difficult (if not impossible) to characterize the environment beforehand. This paper describes a working system that implements an autonomous explorer whose function is to describe the environment in terms of articulated volumetric models. A novel feature of the system is that it uses feedback to reduce reliance on a priori knowledge.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Published: 1993
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18. Recovery of volumetric object descriptions from laser rangefinder images

Author: P. Whaite, Frank P. Ferrie, and Jean Lagarde
Subjects: Differential geometry, business.industry, Computer science, Principal curvature, Computer graphics (images), Laser rangefinder, Computer vision, Artificial intelligence, business, Object (computer science), Representation (mathematics)
Abstract: This paper describes a representation and computational model for deriving three dimensional, articulated volumetric descriptions of objects from laser rangefinder data. What differentiates this work from other approaches is that it is purely bottom-up, relying on general assumptions cast in terms of differential geometry.
Published: 1990
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19. Evaluation of training programs for health professionals in substance misuse. A review

Author: A Whaite and C E Ewan
Subjects: Injury control, Attitude of Health Personnel, Substance-Related Disorders, education, Medicine (miscellaneous), Poison control, Suicide prevention, Occupational safety and health, Behavior Therapy, Injury prevention, Substance misuse, medicine, Humans, General Psychology, Medical education, Education, Medical, ComputingMilieux_THECOMPUTINGPROFESSION, Health professionals, business.industry, Human factors and ergonomics, medicine.disease, Alcoholism, Health Occupations, Medical emergency, business, Personality
Abstract: Evaluation of programs to train health professionals to deal more effectively with substance misuse and the criteria and instruments which have been used in assessing the programs' effectiveness are reviewed. The shortcomings of many such evaluation efforts are discussed and directions for future efforts are suggested.
Published: 1983
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20. A SURVEY OF SHOE‐FITTING X‐RAY FLUOROSCOPES LOCATED IN NEW SOUTH WALES

Author: Alan Bell and H. M. Whaite
Subjects: Orthodontics, medicine.diagnostic_test, business.industry, medicine, Fluoroscopy, General Medicine, Shoe fitting, Radiation protection, business, Geology
Published: 1958
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21. Training health professionals in substance abuse: a review

Author: Christine Ewan and Anne Whaite
Subjects: ComputingMilieux_THECOMPUTINGPROFESSION, Knowledge gain, Health professionals, Education, Medical, business.industry, Attitude of Health Personnel, Substance-Related Disorders, education, Medicine (miscellaneous), medicine.disease, Training (civil), United States, Substance abuse, Documentation, Work (electrical), Nursing, Health Occupations, ComputingMilieux_COMPUTERSANDEDUCATION, Medicine, Humans, Program development, Education, Medical, Continuing, business, Education, Nursing
Abstract: Alcohol- and drug-related problems are a major component of the work of health professionals. Most professionals are inadequately trained to handle the problems they will confront in this field. The need for training in aspects of substance abuse is widely accepted. This paper is a review of reports of such training programs in English-speaking countries. The programs have been reviewed in four categories: (1) courses for practitioners and teachers of health professionals, (2) courses for medical students, (3) courses for nurses and nursing students, and (4) courses for other health professionals. Many programs have achieved their objectives, but documentation for many of them is insufficient to provide guidance for future program development. In general, knowledge gain is easily demonstrated, but changes in attitudes and skills require special conditions in training.
Published: 1982

22. Two deaths from anoxaemia during the construction of a sewerage system

Author: H. M. Whaite and Alan Bell
Subjects: Death, Occupational Diseases, Sewerage, Humans, General Medicine, Sanitary sewer, Business, Water resource management, Hypoxia
Published: 1957

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22 results on '"Whaite, A"'

1. Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores

2. Clinical and genetic characteristics of late-onset Huntington's disease

3. Power Quality in DC Power Distribution Systems and Microgrids

4. Observing Huntington's disease: the European Huntington's Disease Network's REGISTRY

5. Autonomous exploration: driven by uncertainty

6. On the sequential determination of model misfit

7. Parametric shape recognition using a probabilistic inverse theory

8. Discrepancies in reporting the CAG repeat lengths for Huntington's disease

9. Making it happen — a U.K. patent office training programme on laser discs

10. NMDA receptor gene variations as modifiers in Huntington disease

11. Darboux frames, snakes, and super-quadrics: geometry from the bottom-up

12. Active exploration: Knowing when we're wrong

13. Recognizing volumetric objects in the presence of uncertainty

14. From uncertainty to visual exploration

15. In vitro Diagnostic Medical Devices

16. Autonomous exploration: driven by uncertainty

17. Model building and autonomous exploration

18. Recovery of volumetric object descriptions from laser rangefinder images

19. Evaluation of training programs for health professionals in substance misuse. A review

20. A SURVEY OF SHOE‐FITTING X‐RAY FLUOROSCOPES LOCATED IN NEW SOUTH WALES

21. Training health professionals in substance abuse: a review

22. Two deaths from anoxaemia during the construction of a sewerage system

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22 results on '"Whaite, A"'

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