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Other literature type . 2016Open Access EnglishAuthors:Bentham, James; Cesare, Mariachiara Di; Stevens, Gretchen A.; Zhou, Bin; Bixby, Honor; Cowan, Melanie J.; Fortunato, Lea; Bennett, James E.; Danaei, Goodarz; Hajifathalian, Kaveh; +263 moreBentham, James; Cesare, Mariachiara Di; Stevens, Gretchen A.; Zhou, Bin; Bixby, Honor; Cowan, Melanie J.; Fortunato, Lea; Bennett, James E.; Danaei, Goodarz; Hajifathalian, Kaveh; Lu, Yuan; Riley, Leanne M.; Laxmaiah, Avula; Kontis, Vasilis; Paciorek, Christopher J.; Riboli, Elio; Ezzati, Majid; Abdeen, Ziad A.; Hamid, Zargar Abdul; Abu-Rmeileh, Niveen M.; Acosta-Cazares, Benjamin; Adams, Robert; Aekplakorn, Wichai; Aguilar-Salinas, Carlos A.; Agyemang, Charles; Ahmadvand, Alireza; Ahrens, Wolfgang; Al-Hazzaa, Hazzaa M.; Al-Othman, Amani Rashed; Raddadi, Rajaa Al; Ali, Mohamed M.; Alkerwi, Ala'a; Alvarez-Pedrerol, Mar; Aly, Eman; Amouyel, Philippe; Amuzu, Antoinette; Andersen, Lars Bo; Anderssen, Sigmund A.; Anjana, Ranjit Mohan; Aounallah-Skhiri, Hajer; Ariansen, Inger; Aris, Tahir; Arlappa, Nimmathota; Arveiler, Dominique; Assah, Felix K.; Avdicova, Maria; Azizi, Fereidoun; Babu, Bontha V.; Bahijri, Suhad; Balakrishna, Nagalla; Bandosz, Piotr; Banegas, Jose R.; Barbagallo, Carlo M.; Barcelo, Alberto; Barkat, Amina; Barros, Mauro V.; Bata, Iqbal; Batieha, Anwar M.; Batista, Rosangela L.; Baur, Louise A.; Beaglehole, Robert; Romdhane, Habiba Ben; Benet, Mikhail; Bennett, James E.; Bernabe-Ortiz, Antonio; Bernotine, Gailute; Bettiol, Heloisa; Bhagyalaxmi, Aroor; Bharadwaj, Sumit; Bhargava, Santosh K.; Bhatti, Zaid; Bhutta, Zulfiqar A.; Bi, HongSheng; Bi, Yufang; Bjerregaard, Peter; Bjertness, Espen; Bjertness, Marius B.; Bjorkelund, Cecilia; Blokstra, Anneke; Bo, Simona; Bobak, Martin; Boddy, Lynne M.; Boehm, Bernhard O.; Boeing, Heiner; Boissonnet, Carlos P.; Bongard, Vanina; Bovet, Pascal; Braeckman, Lutgart; Bragt, Marjolijn C. E.; Brajkovich, Imperia; Branca, Francesco; Breckenkamp, Juergen; Brenner, Hermann; Brewster, Lizzy M.; Brian, Garry R.; Bruno, Graziella; Bueno-de-Mesquita, H. B.; Bugge, Anna; Burns, C.; Leon, Antonio Cabrera de; Cacciottolo, Joseph; Cama, Tilema; Cameron, Christine; Camolas, Jose; Can, Gunay; Candido, Ana Paula C.; Capuano, Vincenzo; Cardoso, Viviane C.; Carlsson, Axel C.; Carvalho, Maria J.; Casanueva, Felipe F.; Casas, Juan-Pablo; Caserta, Carmelo A.; Chamukuttan, Snehalatha; Chan, Angelique W.; Chan, Queenie; Chaturvedi, Himanshu K.; Chaturvedi, Nishi; Chen, Chien-Jen; Chen, Fangfang; Chen, Huashuai; Chen, Shuohua; Chen, Y. Z.; Cheng, Ching-Yu; Chetrit, Angela; Chiolero, Arnaud; Chiou, Shu-Ti; Chirita-Emandi, Adela; Cho, Belong; Cho, Yumi; Christensen, Kaare; Chudek, Jerzy; Cifkova, Renata; Claessens, Frank; Clays, Els; Concin, Hans; Cooper, Cyrus; Cooper, Rachel; Coppinger, Tara C.; Costanzo, Simona; Cottel, Dominique; Cowell, Chris; Craig, Cora L.; Crujeiras, Ana B.; D'Arrigo, Graziella; d'Orsi, Eleonora; Dallongeville, Jean; Damasceno, Albertino; Damsgaard, Camilla T.; Danaei, Goodarz; Dankner, Rachel; Dauchet, Luc; Backer, Guy De; Bacquer, Dirk De; Gaetano, Giovanni de; Hanauw, Stefaan De; Smedt, Delphine De; Deepa, Mohan; Deev, Alexander D.; Dehghan, Abbas; Delisle, Helene; Delpeuch, Francis; Deschamps, Valerie; Dhana, Klodian; Castelnuovo, Augusto F. Di; Dias-da-Costa, Juvenal Soares; Diaz, Alejandro; Djalalinia, Shirin; Do, Ha T. P.; Dobson, Annette J.; Donfrancesco, Chiara; Donoso, Silvana P.; Doering, Angela; Doua, Kouamelan; Drygas, Wojciech; Dzerve, Vilnis; Egbagbe, Eruke E.; Eggertsen, Robert; Ekelund, Ulf; Ati, Jalila El; Elliott, Paul; Engle-Stone, Reina; Erasmus, Rajiv T.; Erem, Cihangir; Eriksen, Louise; Pena, Jorge Escobedo-de la; Evans, Alun; Faeh, David; Fall, Caroline H.; Farzadfar, Farshad; Felix-Redondo, Francisco J.; Ferguson, Trevor S.; Fernandez-Berges, Daniel; Ferrante, Daniel; Ferrari, Marika; Ferreccio, Catterina; Ferrieres, Jean; Finn, Joseph D.; Fischer, Krista; Monterrubio, Eric A.; Forslund, Ann-Sofie; Forsner, Maria; Franco, Oscar H.; Geleijnse, Johanna M.; Gudnason, Vilmundur; Hambleton, Ian R.; Hardy, Rebecca; Hwalla, Nahla; Jacobs, Jeremy M.; Jurak, Gregor; Kavousi, Maryam; Kelishadi, Roya; Krokstad, Steinar; Kuulasmaa, Kari; Kyobutungi, Catherine; Laamiri, Fatima Zahra; Laatikainen, Tiina; Lam, Tai Hing; Larijani, Bagher; Lin, Hsien-Ho; Linneberg, Allan; Lunet, Nuno; Malyutina, Sofia; Marques-Vidal, Pedro; Marrugat, Jaume; Mazur, Artur; Mbanya, Jean Claude N.; McNulty, Breige A.; Mediene-Benchekor, Sounnia; Meirhaeghe, Aline; Michaelsen, Kim F.; Molbo, Drude; Murphy, Neil; Musa, Kamarul Imran; Neovius, Martin; Osmond, Clive; Overvad, Kim; Pednekar, Mangesh S.; Peters, Annette; Pigeot, Iris; Pikhart, Hynek; Puiu, Maria; Raj, Manu; Ramke, Jacqueline; Ramos, Rafel; Rasmussen, Finn; Romaguera, Dora; Rui, Ornelas; Scazufca, Marcia; Schienkiewitz, Anja; Sen, Abhijit; Sibai, Abla M.; Smeeth, Liam; So, Hung-Kwan; Staessen, Jan A.; Stathopoulou, Maria G.; Staub, Kaspar; Stein, Aryeh D.; Stergiou, George S.; Tang, Xun; Tarp, Jakob; Thuesen, Betina H.; Ueda, Peter; Ulmer, Hanno; Vale, Susana; Herck, Koen Van; Veronesi, Giovanni; Visvikis-Siest, Sophie; Walton, Janette; Whincup, Peter H.; Woo, Jean; Woodward, Mark; Zimmermann, Esther;
pmid: 27458798
pmc: PMC4961475
Countries: United Kingdom, Sweden, Sweden, Spain, United Kingdom, Finland, Peru, Poland, Malta, Germany ...Project: WT | A Global Database on Card... (101506), WT , EC | HYPERGENES (201550)Being taller is associated with enhanced longevity, and higher education and earnings. We reanalysed 1472 population-based studies, with measurement of height on more than 18.6 million participants to estimate mean height for people born between 1896 and 1996 in 200 countries. The largest gain in adult height over the past century has occurred in South Korean women and Iranian men, who became 20.2 cm (95% credible interval 17.5–22.7) and 16.5 cm (13.3–19.7) taller, respectively. In contrast, there was little change in adult height in some sub-Saharan African countries and in South Asia over the century of analysis. The tallest people over these 100 years are men born in the Netherlands in the last quarter of 20th century, whose average heights surpassed 182.5 cm, and the shortest were women born in Guatemala in 1896 (140.3 cm; 135.8–144.8). The height differential between the tallest and shortest populations was 19-20 cm a century ago, and has remained the same for women and increased for men a century later despite substantial changes in the ranking of countries. http://purl.org/eprint/status/PeerReviewed published version Article
Substantial popularitySubstantial popularity In top 1%Substantial influencePopularity: Citation-based measure reflecting the current impact.Substantial influence In top 1%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Other literature type . Article . 2016Open AccessAuthors:Karoline Kuchenbaecker; Kyriaki Michailidou; Gustavo Mendoza-Fandiño; Janna Lilyquist; Curtis Olswold; Emily Hallberg; Habibul Ahsan; Kristiina Aittomäki; Irene L. Andrulis; Hoda Anton-Culver; +198 moreKaroline Kuchenbaecker; Kyriaki Michailidou; Gustavo Mendoza-Fandiño; Janna Lilyquist; Curtis Olswold; Emily Hallberg; Habibul Ahsan; Kristiina Aittomäki; Irene L. Andrulis; Hoda Anton-Culver; Volker Arndt; Brita Arver; Monica Barile; Rosa B. Barkardottir; Daniel Barrowdale; Lars Beckmann; Matthias W. Beckmann; Javier Benitez; Stephanie V. Blank; Carl Blomqvist; Natalia Bogdanova; Stig E. Bojesen; Manjeet K. Bolla; Bernardo Bonanni; Hiltrud Brauch; Hermann Brenner; Barbara Burwinkel; Saundra S. Buys; Trinidad Caldés; Maria A. Caligo; Federico Canzian; Jane Carpenter; Jenny Chang-Claude; Stephen J. Chanock; Wendy K. Chung; Kathleen Claes; Angela Cox; Simon S. Cross; Julie M. Cunningham; Kamila Czene; Mary B. Daly; Francesca Damiola; Hatef Darabi; Miguel de la Hoya; Peter Devilee; Orland Diez; Yuan C. Ding; Riccardo Dolcetti; Susan M. Domchek; Cecilia M. Dorfling; Isabel dos-Santos-Silva; Martine Dumont; Alison M. Dunning; Diana Eccles; Hans Ehrencrona; Arif B. Ekici; Heather Eliassen; Steve Ellis; Peter A. Fasching; Jonine Figueroa; Dieter Flesch-Janys; Florentia Fostira; Tara M. Friebel; Eitan Friedman; Debra Frost; Marike Gabrielson; Susan M. Gapstur; Judy Garber; Mia M. Gaudet; SA Gayther; Anne-Marie Gerdes; Maya Ghoussaini; Graham G. Giles; Gord Glendon; Mark S. Goldberg; David E. Goldgar; Pascal Guénel; Marc J. Gunter; Lothar Haeberle; Christopher A. Haiman; Ute Hamann; Thomas Hansen; Steven N. Hart; Tuomas Heikkinen; Brian E. Henderson; Josef Herzog; Frans B. L. Hogervorst; Antoinette Hollestelle; M.J. Hooning; Robert N. Hoover; John L. Hopper; Tomasz Huzarski; Evgeny N. Imyanitov; Claudine Isaacs; Anna Jakubowska; Paul A. James; Ramunas Janavicius; Uffe Birk Jensen; Esther M. John; Michael Jones; Maria Kabisch; Sofia Khan; Kay-Tee Khaw; Muhammad G. Kibriya; Yon Ko; Irene Konstantopoulou; Veli-Matti Kosma; Vessela N. Kristensen; Ava Kwong; Yael Laitman; Diether Lambrechts; Eunjung Lee; Loic Le Marchand; Jenny Lester; S. Lindstrom; Jianjun Liu; Jirong Long; Jan Lubinski; Phuong L. Mai; Enes Makalic; Arto Mannermaa; Siranoush Manoukian; Sara Margolin; Frederik Marme; John W. M. Martens; Lesley McGuffog; Alfons Meindl; Austin Miller; Marco Montagna; Sylvie Mazoyer; Anna Marie Mulligan; Taru A. Muranen; Katherine L. Nathanson; Susan L. Neuhausen; Heli Nevanlinna; Børge G. Nordestgaard; Robert L. Nussbaum; Kenneth Offit; Janet E. Olson; Ana Osorio; Sue K. Park; Petra H.M. Peeters; Bernard Peissel; Paolo Peterlongo; Julian Peto; Catherine M. Phelan; Robert Pilarski; Katri Pylkäs; Paolo Radice; Nazneen Rahman; Christine Rappaport; Gad Rennert; Andrea L. Richardson; Isabelle Romieu; Anja Rudolph; Emiel J. Rutgers; Elinor J. Sawyer; Daniel F. Schmidt; Marjanka K. Schmidt; Fredrick R. Schumacher; Rodney J. Scott; Leigha Senter; Priyanka Sharma; Jacques Simard; Christian F. Singer; Olga M. Sinilnikova; Penny Soucy; Melissa C. Southey; Doris Steinemann; Marie Stenmark-Askmalm; Dominique Stoppa-Lyonnet; Anthony J. Swerdlow; Csilla I. Szabo; Rulla M. Tamimi; William J. Tapper; Manuel R. Teixeira; Mary Beth Terry; Mads Thomassen; D Thompson; Laima Tihomirova; Amanda E. Toland; Robert A.E.M. Tollenaar; Ian Tomlinson; Thérèse Truong; Alex Teulé; Rosario Tumino; Nadine Tung; Clare Turnbull; Giski Ursin; Carolien H.M. van Deurzen; Elizabeth J. van Rensburg; Raymonda Varon-Mateeva; Zhaoming Wang; Shan Wang-Gohrke; Elisabete Weiderpass; Jeffrey N. Weitzel; Alice S. Whittemore; Robert Winqvist; Drakoulis Yannoukakos; M. Pilar Zamora; Wei Zheng; Per Hall; Peter Kraft; Celine M. Vachon; Georgia Chenevix-Trench; Paul D.P. Pharoah; Alvaro A.N. Monteiro; Douglas F. Easton;
doi: 10.1038/ncomms11375
handle: 2336/611194 , 1887/113206 , 1765/81552 , 10668/10025 , 20.500.11820/11e3b572-7147-4e25-85b6-d9cc7351cc4a , 20.500.12105/7867 , 1874/344341 , 1854/LU-7900406
pmc: PMC4853421
pmid: 27117709
doi: 10.1038/ncomms11375
handle: 2336/611194 , 1887/113206 , 1765/81552 , 10668/10025 , 20.500.11820/11e3b572-7147-4e25-85b6-d9cc7351cc4a , 20.500.12105/7867 , 1874/344341 , 1854/LU-7900406
pmc: PMC4853421
pmid: 27117709
Countries: Belgium, Netherlands, Spain, United States, United Kingdom, Belgium, Sweden, Spain, United Kingdom, Spain ...Project: CIHR , NIH | Elucidating Loci Involved... (5U19CA148537-02), EC | COGS (223175), NWO | Secure and gentle grip of... (11477), NIH | Follow-up of Ovarian Canc... (3U19CA148112-04S1), NIH | A genome-wide association... (5R01CA128978-02), WT , NIH | Discovery Expansion and R... (5U19CA148065-04)Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10−8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction. B.C.A.C. was funded through a European Community Seventh Framework Programme under grant agreement no 223175 (HEALTH-F2-2009-223175; COGS); Cancer Research UK (C1287/A10118, C1287/A10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692); the National Institutes of Health Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), R01 grants (CA128978, CA176785, CA192393), and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112 - the GAME-ON initiative); the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, the Breast Cancer Res. Foundation, and the Ovarian Cancer Research Fund. CIMBA genotyping was supported by National Institutes of Health grant (CA128978); the Department of Defence (W81XWH-10-1-0341); and the Breast Cancer Res. Foundation. CIMBA data management and data analysis were supported by Cancer Research UK grants C12292/A11174 and C1287/A10118. This study made use of data generated by the Wellcome Trust Case Control consortium. Functional studies were supported by the Florida Breast Cancer Foundation. A full description of funding and acknowledgments is provided in Supplementary Note 1.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Article . Other literature type . 2020 . Embargo End Date: 04 Feb 2021Open AccessAuthors:Carlevaro-Fita J.; Lanzos A.; Feuerbach L.; Hong C.; Mas-Ponte D.; Pedersen J. S.; Abascal F.; Amin S. B.; Bader G. D.; Barenboim J.; +127 moreCarlevaro-Fita J.; Lanzos A.; Feuerbach L.; Hong C.; Mas-Ponte D.; Pedersen J. S.; Abascal F.; Amin S. B.; Bader G. D.; Barenboim J.; Beroukhim R.; Bertl J.; Boroevich K. A.; Brunak S.; Campbell P. J.; Carlevaro-Fita J.; Chakravarty D.; Chan C. W. Y.; Chen K.; Choi J. K.; Deu-Pons J.; Dhingra P.; Diamanti K.; Feuerbach L.; Fink J. L.; Fonseca N. A.; Frigola J.; Gambacorti Passerini C.; Garsed D. W.; Gerstein M.; Getz G.; Gonzalez-Perez A.; Guo Q.; Gut I. G.; Haan D.; Hamilton M. P.; Haradhvala N. J.; Harmanci A. O.; Helmy M.; Herrmann C.; Hess J. M.; Hobolth A.; Hodzic E.; Hong C.; Hornshoj H.; Isaev K.; Izarzugaza J. M. G.; Johnson R.; Johnson T. A.; Juul M.; Juul R. I.; Kahles A.; Kahraman A.; Kellis M.; Khurana E.; Kim J.; Kim J. K.; Kim Y.; Komorowski J.; Korbel J. O.; Kumar S.; Lanzos A.; Larsson E.; Lawrence M. S.; Lee D.; Lehmann K. -V.; Li S.; Li X.; Lin Z.; Liu E. M.; Lochovsky L.; Lou S.; Madsen T.; Marchal K.; Martincorena I.; Martinez-Fundichely A.; Maruvka Y. E.; McGillivray P. D.; Meyerson W.; Muinos F.; Mularoni L.; Nakagawa H.; Nielsen M. M.; Paczkowska M.; Park K.; Park K.; Pedersen J. S.; Pich O.; Pons T.; Pulido-Tamayo S.; Raphael B. J.; Reimand J.; Reyes-Salazar I.; Reyna M. A.; Rheinbay E.; Rubin M. A.; Rubio-Perez C.; Sabarinathan R.; Sahinalp S. C.; Saksena G.; Salichos L.; Sander C.; Schumacher S. E.; Shackleton M.; Shapira O.; Shen C.; Shrestha R.; Shuai S.; Sidiropoulos N.; Sieverling L.; Sinnott-Armstrong N.; Stein L. D.; Stuart J. M.; Tamborero D.; Tiao G.; Tsunoda T.; Umer H. M.; Uuskula-Reimand L.; Valencia A.; Vazquez M.; Verbeke L. P. C.; Wadelius C.; Wadi L.; Wang J.; Warrell J.; Waszak S. M.; Weischenfeldt J.; Wheeler D. A.; Wu G.; Yu J.; Zhang J.; Zhang X.; Zhang Y.; Zhao Z.; Zou L.; von Mering C.; Johnson R.;
doi: 10.17863/cam.64282 , 10.3929/ethz-b-000399368 , 10.17863/cam.64917 , 10.7892/boris.143033 , 10.1038/s42003-019-0741-7
pmc: PMC7002399
handle: 2066/288696 , 20.500.11850/399368 , 1854/LU-8658728
Publisher: Apollo - University of Cambridge RepositoryCountries: Netherlands, Switzerland, Italy, Belgium, Switzerland, Sweden, Spain, Denmark, United KingdomLong non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for a resource of lncRNAs with validated cancer roles. Furthermore, it remains debated whether mutated lncRNAs can drive tumorigenesis, and whether such functions could be conserved during evolution. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we introduce the Cancer LncRNA Census (CLC), a compilation of 122 GENCODE lncRNAs with causal roles in cancer phenotypes. In contrast to existing databases, CLC requires strong functional or genetic evidence. CLC genes are enriched amongst driver genes predicted from somatic mutations, and display characteristic genomic features. Strikingly, CLC genes are enriched for driver mutations from unbiased, genome-wide transposon-mutagenesis screens in mice. We identified 10 tumour-causing mutations in orthologues of 8 lncRNAs, including LINC-PINT and NEAT1, but not MALAT1. Thus CLC represents a dataset of high-confidence cancer lncRNAs. Mutagenesis maps are a novel means for identifying deeply-conserved roles of lncRNAs in tumorigenesis. Communications Biology, 3 (1) ISSN:2399-3642
Substantial popularitySubstantial popularity In top 1%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Preprint . Article . 2017 . Embargo End Date: 01 Jan 2017Open AccessAuthors:Begy, Sean B.; Wade, Gregg A.; Handler, Gerald; Pigulski, Andrzej; Sikora, James; Shultz, Matt;Begy, Sean B.; Wade, Gregg A.; Handler, Gerald; Pigulski, Andrzej; Sikora, James; Shultz, Matt;Publisher: arXiv
We report BRITE-Constellation photometry of the beta Cep pulsator xi 1 CMa. Analysis of these data reveals a single pulsation period of 0.2095781(3) d, along with its first and second harmonics. We find no evidence for any other frequencies, limiting the value of this star as a target for magneto-asteroseismology. We em- ploy the 17-year database of RV measurements of xi 1 CMa to evaluate evidence for the reported change in pulsation period, and interpret this period change in terms of stellar evolution. We measure a rate-of-change of the period equal to 0.009(1) s/yr, consistent with that reported in the literature. Comment: 5 pages, proceedings of the 3rd BRITE-Constellation Science Conference, Lac Taureau, 2017
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Article . Other literature type . 2013Open Access EnglishAuthors:Maimoona A. Zariwala; Heon Yung Gee; Małgorzata Kurkowiak; Dalal A. Al-Mutairi; Margaret W. Leigh; Toby W. Hurd; Rim Hjeij; Sharon D. Dell; Moumita Chaki; Gerard W. Dougherty; +48 moreMaimoona A. Zariwala; Heon Yung Gee; Małgorzata Kurkowiak; Dalal A. Al-Mutairi; Margaret W. Leigh; Toby W. Hurd; Rim Hjeij; Sharon D. Dell; Moumita Chaki; Gerard W. Dougherty; Mohamed Adan; Philip C. Spear; Julian Esteve-Rudd; Niki T. Loges; Margaret Rosenfeld; Katrina A. Diaz; Heike Olbrich; Whitney E. Wolf; Eamonn Sheridan; Trevor F.C. Batten; Jan Halbritter; Jonathan D. Porath; Stefan Kohl; Svjetlana Lovric; Daw Yang Hwang; Jessica E. Pittman; Kimberlie A. Burns; Thomas W. Ferkol; Scott D. Sagel; Kenneth N. Olivier; Lucy Morgan; Claudius Werner; Johanna Raidt; Petra Pennekamp; Zhaoxia Sun; Weibin Zhou; Rannar Airik; Sivakumar Natarajan; Susan J. Allen; Israel Amirav; Dagmar Wieczorek; Kerstin Landwehr; Kim G. Nielsen; Nicolaus Schwerk; Jadranka Sertić; Gabriele Köhler; Joseph Washburn; Shawn Levy; Shuling Fan; Cordula Koerner-Rettberg; Serge Amselem; David S. Williams; Brian J. Mitchell; Iain A. Drummond; Edgar A. Otto; Heymut Omran; Michael R. Knowles; Friedhelm Hildebrandt;Publisher: HAL CCSDCountries: France, Germany, CroatiaProject: NIH | Genetic Disorder of Mucoc... (5U54HL096458-14), NIH | Identifying all Meckel-li... (1RC4DK090917-01), WT , NIH | Novel genetics, pathobiol... (5R01DK068306-17), NIH | Pathogenesis of PCD Lung ... (5R01HL071798-04), NIH | Colorado Clinical and Tra... (3UL1TR000154-05S1)
Defects of motile cilia cause primary ciliary dyskinesia (PCD), characterized by recurrent respiratory infections and male infertility. Using whole-exome resequencing and high-throughput mutation analysis, we identified recessive biallelic mutations in ZMYND10 in 14 families and mutations in the recently identified LRRC6 in 13 families. We show that ZMYND10 and LRRC6 interact and that certain ZMYND10 and LRRC6 mutations abrogate the interaction between the LRRC6 CS domain and the ZMYND10 C-terminal domain. Additionally, ZMYND10 and LRRC6 colocalize with the centriole markers SAS6 and PCM1. Mutations in ZMYND10 result in the absence of the axonemal protein components DNAH5 and DNALI1 from respiratory cilia. Animal models support the association between ZMYND10 and human PCD, given that zmynd10 knockdown in zebrafish caused ciliary paralysis leading to cystic kidneys and otolith defects and that knockdown in Xenopus interfered with ciliogenesis. Our findings suggest that a cytoplasmic protein complex containing ZMYND10 and LRRC6 is necessary for motile ciliary function. © 2013 The American Society of Human Genetics.
Substantial popularitySubstantial popularity In top 1%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Part of book or chapter of book . 2015Closed AccessAuthors:Tomasz Galkowski; Miroslaw Pawlak;Tomasz Galkowski; Miroslaw Pawlak;Publisher: Springer International Publishing
The article concerns of the problem of regression functions estimation when the output is contaminated by additive nonstationary noise. We investigate the model \(y_i = R\left( {{\bf x _i}} \right) + Z _i ,\,i = 1,2, \ldots n\), where x i is assumed to be the set of deterministic inputs (d-dimensional vector), y i is the scalar, probabilistic outputs, and Z i is a measurement noise with zero mean and variance depending on n. \(R\left( . \right)\) is a completely unknown function. The problem of finding function \(R\left( . \right)\) may be solved by applying non-parametric methodology, for instance: algorithms based on the Parzen kernel or algorithms derived from orthogonal series. In this work we present the orthogonal series approach. The analysis has been made for some class of nonstationarity. We present the conditions of convergence of the estimation algorithm for the variance of noise growing up when number of observations is tending to infinity. The results of numerical simulations are presented.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2018Open Access EnglishAuthors:Anne Lise Courbis; Ruth Murray; Sylvie Arnavielhe; Davide Caimmi; Anna Bedbrook; Michiel van Eerd; Govert De Vries; Gérard Dray; Ioana Agache; Mário Morais-Almeida; +32 moreAnne Lise Courbis; Ruth Murray; Sylvie Arnavielhe; Davide Caimmi; Anna Bedbrook; Michiel van Eerd; Govert De Vries; Gérard Dray; Ioana Agache; Mário Morais-Almeida; Claus Bachert; Karl Christian Bergmann; Sinthia Bosnic-Anticevich; Jan Brozek; Caterina Bucca; Paulo Augusto Moreira Camargos; Giorgio Walter Canonica; W. Carr; Thomas B. Casale; João Fonseca; Tari Haahtela; Omer Kalayci; Ludger Klimek; Piotr Kuna; Violeta Kvedariene; Désirée Larenas Linnemann; Phil Lieberman; Joaquim Mullol; Robyn E O'Hehir; Nikolaos G. Papadopoulos; David Price; Dermot Ryan; Bolesław Samoliński; F. Estelle R. Simons; Peter Valentin Tomazic; Massimo Triggiani; Arunas Valiulis; Erkka Valovirta; Martin Wagenmann; Magnus Wickman; Arzu Yorgancioglu; Jean Bousquet;
doi: 10.1111/cea.13230
pmid: 29999223
Publisher: Blackwell Publishing LtdCountries: Turkey, Finland, Italy, FranceBackground: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management. Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion. Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing. Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations. Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations. [MASK paper No 32]. © 2018 John Wiley & Sons Ltd
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2016Open AccessAuthors:Geneviève C. Vallée; Daniella Santos Muñoz; David Sankoff;Geneviève C. Vallée; Daniella Santos Muñoz; David Sankoff;Publisher: Springer Science and Business Media LLCProject: NSERC
Background Recent progress in selective breeding of maize (Zea mays L.) towards adaptation to temperate climate has allowed the production of inbred lines withstanding cold springs with temperatures below 8 °C or even close to 0 °C, indicating that despite its tropical origins maize is not inherently cold-sensitive. Results Here we studied the acclimatory response of three maize inbred lines of contrasting cold-sensitivity selected basing on multi-year routine field data. The field observations were confirmed in the growth chamber. Under controlled conditions the damage to the photosynthetic apparatus due to severe cold treatment was the least in the cold-tolerant line provided that it had been subjected to prior moderate chilling, i.e., acclimation. The cold-sensitive lines performed equally poorly with or without acclimation. To uncover the molecular basis of the attained cold-acclimatability we performed comparative transcriptome profiling of the response of the lines to the cold during acclimation phase by means of microarrays with a statistical and bioinformatic data analysis. Conclusions The analyses indicated three mechanisms likely responsible for the cold-tolerance: acclimation-dependent modification of the photosynthetic apparatus, cell wall properties, and developmental processes. Those conclusions supported the observed acclimation of photosynthesis to severe cold at moderate chilling and were further confirmed by experimentally showing specific modification of cell wall properties and repression of selected miRNA species, general regulators of development, in the cold-tolerant line subjected to cold stress. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2453-4) contains supplementary material, which is available to authorized users.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2018Open AccessAuthors:Aida Z, Kebede; Jayelle, Friesen-Enns; Belaghihalli N, Gnanesh; Jim G, Menzies; Jennifer W, Mitchell Fetch; James, Chong; Aaron D, Beattie; Edyta, Paczos-Grzęda; Curt A, McCartney;Aida Z, Kebede; Jayelle, Friesen-Enns; Belaghihalli N, Gnanesh; Jim G, Menzies; Jennifer W, Mitchell Fetch; James, Chong; Aaron D, Beattie; Edyta, Paczos-Grzęda; Curt A, McCartney;
pmid: 30554147
pmc: PMC6385968
Molecular mapping of crown rust resistance genes is important to effectively utilize these genes and improve breeding efficiency through marker-assisted selection. Pc45 is a major race-specific crown rust resistance gene initially identified in the wild hexaploid oat Avena sterilis in the early 1970s. This gene was transferred to cultivated oat (Avena sativa) and has been used as a differential for identification of crown rust races since 1974. Previous research identified an association between virulence to Pc45 and PcKM, a crown rust resistance gene in the varieties ‘Kame’ and ‘Morton’. This study was undertaken to reveal the relationship between Pc45 and PcKM. Pc45 was studied in the crosses ‘AC Morgan’/Pc45 and ‘Kasztan’/Pc45, where Pc45 is the differential line carrying Pc45. F2 progenies and F2:3 families of both populations were inoculated with the crown rust isolate CR258 (race NTGG) and single gene segregation ratios were observed. SNP markers for PcKM were tested on these populations and linkage maps were generated. In addition, 17 newly developed SNP markers identified from genotyping-by-sequencing (GBS) data were mapped in these two populations, plus another three populations segregating for Pc45 or PcKM. Pc45 and PcKM mapped to the same location of Mrg08 (chromosome 12D) of the oat chromosome-anchored consensus map. These results strongly suggest that Pc45 and PcKM are the same resistance gene, but allelism (i.e., functionally different alleles of the same gene) or tight linkage (i.e., two tightly linked genes) cannot be ruled out based on the present data.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2020Closed AccessAuthors:Manisha Singla; Debdas Ghosh; Kaushal K. Shukla; Witold Pedrycz;Manisha Singla; Debdas Ghosh; Kaushal K. Shukla; Witold Pedrycz;Publisher: Elsevier BV
Abstract In this work, with the help of the rescaled Hinge loss, we propose a twin support vector regression (TSVR) model that is robust to noise. The corresponding optimization problem turns out to be non-convex with smooth l2 regularizer. To solve the problem efficiently, we convert it to its dual form, thereby transforming it into a convex optimization problem. An algorithm, named Res-TSVR, is provided to solve the formulated dual problem. The proof of the convergence of the algorithm is given. It is shown that the maximum number of iterations to achieve an e-precision solution to the dual problem is O ( log ( 1 e ) ) . We conduct a set of numerical experiments to compare the proposed method with the recently proposed robust approaches of TSVR and the standard SVR. Experimental results reveal that the proposed approach outperforms other robust methods of TSVR in terms of generalization performance and robustness to noise with comparable training time. This claim is based on the experiments performed using seven real-world data sets and three synthetic data sets.
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Other literature type . 2016Open Access EnglishAuthors:Bentham, James; Cesare, Mariachiara Di; Stevens, Gretchen A.; Zhou, Bin; Bixby, Honor; Cowan, Melanie J.; Fortunato, Lea; Bennett, James E.; Danaei, Goodarz; Hajifathalian, Kaveh; +263 moreBentham, James; Cesare, Mariachiara Di; Stevens, Gretchen A.; Zhou, Bin; Bixby, Honor; Cowan, Melanie J.; Fortunato, Lea; Bennett, James E.; Danaei, Goodarz; Hajifathalian, Kaveh; Lu, Yuan; Riley, Leanne M.; Laxmaiah, Avula; Kontis, Vasilis; Paciorek, Christopher J.; Riboli, Elio; Ezzati, Majid; Abdeen, Ziad A.; Hamid, Zargar Abdul; Abu-Rmeileh, Niveen M.; Acosta-Cazares, Benjamin; Adams, Robert; Aekplakorn, Wichai; Aguilar-Salinas, Carlos A.; Agyemang, Charles; Ahmadvand, Alireza; Ahrens, Wolfgang; Al-Hazzaa, Hazzaa M.; Al-Othman, Amani Rashed; Raddadi, Rajaa Al; Ali, Mohamed M.; Alkerwi, Ala'a; Alvarez-Pedrerol, Mar; Aly, Eman; Amouyel, Philippe; Amuzu, Antoinette; Andersen, Lars Bo; Anderssen, Sigmund A.; Anjana, Ranjit Mohan; Aounallah-Skhiri, Hajer; Ariansen, Inger; Aris, Tahir; Arlappa, Nimmathota; Arveiler, Dominique; Assah, Felix K.; Avdicova, Maria; Azizi, Fereidoun; Babu, Bontha V.; Bahijri, Suhad; Balakrishna, Nagalla; Bandosz, Piotr; Banegas, Jose R.; Barbagallo, Carlo M.; Barcelo, Alberto; Barkat, Amina; Barros, Mauro V.; Bata, Iqbal; Batieha, Anwar M.; Batista, Rosangela L.; Baur, Louise A.; Beaglehole, Robert; Romdhane, Habiba Ben; Benet, Mikhail; Bennett, James E.; Bernabe-Ortiz, Antonio; Bernotine, Gailute; Bettiol, Heloisa; Bhagyalaxmi, Aroor; Bharadwaj, Sumit; Bhargava, Santosh K.; Bhatti, Zaid; Bhutta, Zulfiqar A.; Bi, HongSheng; Bi, Yufang; Bjerregaard, Peter; Bjertness, Espen; Bjertness, Marius B.; Bjorkelund, Cecilia; Blokstra, Anneke; Bo, Simona; Bobak, Martin; Boddy, Lynne M.; Boehm, Bernhard O.; Boeing, Heiner; Boissonnet, Carlos P.; Bongard, Vanina; Bovet, Pascal; Braeckman, Lutgart; Bragt, Marjolijn C. E.; Brajkovich, Imperia; Branca, Francesco; Breckenkamp, Juergen; Brenner, Hermann; Brewster, Lizzy M.; Brian, Garry R.; Bruno, Graziella; Bueno-de-Mesquita, H. B.; Bugge, Anna; Burns, C.; Leon, Antonio Cabrera de; Cacciottolo, Joseph; Cama, Tilema; Cameron, Christine; Camolas, Jose; Can, Gunay; Candido, Ana Paula C.; Capuano, Vincenzo; Cardoso, Viviane C.; Carlsson, Axel C.; Carvalho, Maria J.; Casanueva, Felipe F.; Casas, Juan-Pablo; Caserta, Carmelo A.; Chamukuttan, Snehalatha; Chan, Angelique W.; Chan, Queenie; Chaturvedi, Himanshu K.; Chaturvedi, Nishi; Chen, Chien-Jen; Chen, Fangfang; Chen, Huashuai; Chen, Shuohua; Chen, Y. Z.; Cheng, Ching-Yu; Chetrit, Angela; Chiolero, Arnaud; Chiou, Shu-Ti; Chirita-Emandi, Adela; Cho, Belong; Cho, Yumi; Christensen, Kaare; Chudek, Jerzy; Cifkova, Renata; Claessens, Frank; Clays, Els; Concin, Hans; Cooper, Cyrus; Cooper, Rachel; Coppinger, Tara C.; Costanzo, Simona; Cottel, Dominique; Cowell, Chris; Craig, Cora L.; Crujeiras, Ana B.; D'Arrigo, Graziella; d'Orsi, Eleonora; Dallongeville, Jean; Damasceno, Albertino; Damsgaard, Camilla T.; Danaei, Goodarz; Dankner, Rachel; Dauchet, Luc; Backer, Guy De; Bacquer, Dirk De; Gaetano, Giovanni de; Hanauw, Stefaan De; Smedt, Delphine De; Deepa, Mohan; Deev, Alexander D.; Dehghan, Abbas; Delisle, Helene; Delpeuch, Francis; Deschamps, Valerie; Dhana, Klodian; Castelnuovo, Augusto F. Di; Dias-da-Costa, Juvenal Soares; Diaz, Alejandro; Djalalinia, Shirin; Do, Ha T. P.; Dobson, Annette J.; Donfrancesco, Chiara; Donoso, Silvana P.; Doering, Angela; Doua, Kouamelan; Drygas, Wojciech; Dzerve, Vilnis; Egbagbe, Eruke E.; Eggertsen, Robert; Ekelund, Ulf; Ati, Jalila El; Elliott, Paul; Engle-Stone, Reina; Erasmus, Rajiv T.; Erem, Cihangir; Eriksen, Louise; Pena, Jorge Escobedo-de la; Evans, Alun; Faeh, David; Fall, Caroline H.; Farzadfar, Farshad; Felix-Redondo, Francisco J.; Ferguson, Trevor S.; Fernandez-Berges, Daniel; Ferrante, Daniel; Ferrari, Marika; Ferreccio, Catterina; Ferrieres, Jean; Finn, Joseph D.; Fischer, Krista; Monterrubio, Eric A.; Forslund, Ann-Sofie; Forsner, Maria; Franco, Oscar H.; Geleijnse, Johanna M.; Gudnason, Vilmundur; Hambleton, Ian R.; Hardy, Rebecca; Hwalla, Nahla; Jacobs, Jeremy M.; Jurak, Gregor; Kavousi, Maryam; Kelishadi, Roya; Krokstad, Steinar; Kuulasmaa, Kari; Kyobutungi, Catherine; Laamiri, Fatima Zahra; Laatikainen, Tiina; Lam, Tai Hing; Larijani, Bagher; Lin, Hsien-Ho; Linneberg, Allan; Lunet, Nuno; Malyutina, Sofia; Marques-Vidal, Pedro; Marrugat, Jaume; Mazur, Artur; Mbanya, Jean Claude N.; McNulty, Breige A.; Mediene-Benchekor, Sounnia; Meirhaeghe, Aline; Michaelsen, Kim F.; Molbo, Drude; Murphy, Neil; Musa, Kamarul Imran; Neovius, Martin; Osmond, Clive; Overvad, Kim; Pednekar, Mangesh S.; Peters, Annette; Pigeot, Iris; Pikhart, Hynek; Puiu, Maria; Raj, Manu; Ramke, Jacqueline; Ramos, Rafel; Rasmussen, Finn; Romaguera, Dora; Rui, Ornelas; Scazufca, Marcia; Schienkiewitz, Anja; Sen, Abhijit; Sibai, Abla M.; Smeeth, Liam; So, Hung-Kwan; Staessen, Jan A.; Stathopoulou, Maria G.; Staub, Kaspar; Stein, Aryeh D.; Stergiou, George S.; Tang, Xun; Tarp, Jakob; Thuesen, Betina H.; Ueda, Peter; Ulmer, Hanno; Vale, Susana; Herck, Koen Van; Veronesi, Giovanni; Visvikis-Siest, Sophie; Walton, Janette; Whincup, Peter H.; Woo, Jean; Woodward, Mark; Zimmermann, Esther;
pmid: 27458798
pmc: PMC4961475
Countries: United Kingdom, Sweden, Sweden, Spain, United Kingdom, Finland, Peru, Poland, Malta, Germany ...Project: WT | A Global Database on Card... (101506), WT , EC | HYPERGENES (201550)Being taller is associated with enhanced longevity, and higher education and earnings. We reanalysed 1472 population-based studies, with measurement of height on more than 18.6 million participants to estimate mean height for people born between 1896 and 1996 in 200 countries. The largest gain in adult height over the past century has occurred in South Korean women and Iranian men, who became 20.2 cm (95% credible interval 17.5–22.7) and 16.5 cm (13.3–19.7) taller, respectively. In contrast, there was little change in adult height in some sub-Saharan African countries and in South Asia over the century of analysis. The tallest people over these 100 years are men born in the Netherlands in the last quarter of 20th century, whose average heights surpassed 182.5 cm, and the shortest were women born in Guatemala in 1896 (140.3 cm; 135.8–144.8). The height differential between the tallest and shortest populations was 19-20 cm a century ago, and has remained the same for women and increased for men a century later despite substantial changes in the ranking of countries. http://purl.org/eprint/status/PeerReviewed published version Article
Substantial popularitySubstantial popularity In top 1%Substantial influencePopularity: Citation-based measure reflecting the current impact.Substantial influence In top 1%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product. - Publication . Other literature type . Article . 2016Open AccessAuthors:Karoline Kuchenbaecker; Kyriaki Michailidou; Gustavo Mendoza-Fandiño; Janna Lilyquist; Curtis Olswold; Emily Hallberg; Habibul Ahsan; Kristiina Aittomäki; Irene L. Andrulis; Hoda Anton-Culver; +198 moreKaroline Kuchenbaecker; Kyriaki Michailidou; Gustavo Mendoza-Fandiño; Janna Lilyquist; Curtis Olswold; Emily Hallberg; Habibul Ahsan; Kristiina Aittomäki; Irene L. Andrulis; Hoda Anton-Culver; Volker Arndt; Brita Arver; Monica Barile; Rosa B. Barkardottir; Daniel Barrowdale; Lars Beckmann; Matthias W. Beckmann; Javier Benitez; Stephanie V. Blank; Carl Blomqvist; Natalia Bogdanova; Stig E. Bojesen; Manjeet K. Bolla; Bernardo Bonanni; Hiltrud Brauch; Hermann Brenner; Barbara Burwinkel; Saundra S. Buys; Trinidad Caldés; Maria A. Caligo; Federico Canzian; Jane Carpenter; Jenny Chang-Claude; Stephen J. Chanock; Wendy K. Chung; Kathleen Claes; Angela Cox; Simon S. Cross; Julie M. Cunningham; Kamila Czene; Mary B. Daly; Francesca Damiola; Hatef Darabi; Miguel de la Hoya; Peter Devilee; Orland Diez; Yuan C. Ding; Riccardo Dolcetti; Susan M. Domchek; Cecilia M. Dorfling; Isabel dos-Santos-Silva; Martine Dumont; Alison M. Dunning; Diana Eccles; Hans Ehrencrona; Arif B. Ekici; Heather Eliassen; Steve Ellis; Peter A. Fasching; Jonine Figueroa; Dieter Flesch-Janys; Florentia Fostira; Tara M. Friebel; Eitan Friedman; Debra Frost; Marike Gabrielson; Susan M. Gapstur; Judy Garber; Mia M. Gaudet; SA Gayther; Anne-Marie Gerdes; Maya Ghoussaini; Graham G. Giles; Gord Glendon; Mark S. Goldberg; David E. Goldgar; Pascal Guénel; Marc J. Gunter; Lothar Haeberle; Christopher A. Haiman; Ute Hamann; Thomas Hansen; Steven N. Hart; Tuomas Heikkinen; Brian E. Henderson; Josef Herzog; Frans B. L. Hogervorst; Antoinette Hollestelle; M.J. Hooning; Robert N. Hoover; John L. Hopper; Tomasz Huzarski; Evgeny N. Imyanitov; Claudine Isaacs; Anna Jakubowska; Paul A. James; Ramunas Janavicius; Uffe Birk Jensen; Esther M. John; Michael Jones; Maria Kabisch; Sofia Khan; Kay-Tee Khaw; Muhammad G. Kibriya; Yon Ko; Irene Konstantopoulou; Veli-Matti Kosma; Vessela N. Kristensen; Ava Kwong; Yael Laitman; Diether Lambrechts; Eunjung Lee; Loic Le Marchand; Jenny Lester; S. Lindstrom; Jianjun Liu; Jirong Long; Jan Lubinski; Phuong L. Mai; Enes Makalic; Arto Mannermaa; Siranoush Manoukian; Sara Margolin; Frederik Marme; John W. M. Martens; Lesley McGuffog; Alfons Meindl; Austin Miller; Marco Montagna; Sylvie Mazoyer; Anna Marie Mulligan; Taru A. Muranen; Katherine L. Nathanson; Susan L. Neuhausen; Heli Nevanlinna; Børge G. Nordestgaard; Robert L. Nussbaum; Kenneth Offit; Janet E. Olson; Ana Osorio; Sue K. Park; Petra H.M. Peeters; Bernard Peissel; Paolo Peterlongo; Julian Peto; Catherine M. Phelan; Robert Pilarski; Katri Pylkäs; Paolo Radice; Nazneen Rahman; Christine Rappaport; Gad Rennert; Andrea L. Richardson; Isabelle Romieu; Anja Rudolph; Emiel J. Rutgers; Elinor J. Sawyer; Daniel F. Schmidt; Marjanka K. Schmidt; Fredrick R. Schumacher; Rodney J. Scott; Leigha Senter; Priyanka Sharma; Jacques Simard; Christian F. Singer; Olga M. Sinilnikova; Penny Soucy; Melissa C. Southey; Doris Steinemann; Marie Stenmark-Askmalm; Dominique Stoppa-Lyonnet; Anthony J. Swerdlow; Csilla I. Szabo; Rulla M. Tamimi; William J. Tapper; Manuel R. Teixeira; Mary Beth Terry; Mads Thomassen; D Thompson; Laima Tihomirova; Amanda E. Toland; Robert A.E.M. Tollenaar; Ian Tomlinson; Thérèse Truong; Alex Teulé; Rosario Tumino; Nadine Tung; Clare Turnbull; Giski Ursin; Carolien H.M. van Deurzen; Elizabeth J. van Rensburg; Raymonda Varon-Mateeva; Zhaoming Wang; Shan Wang-Gohrke; Elisabete Weiderpass; Jeffrey N. Weitzel; Alice S. Whittemore; Robert Winqvist; Drakoulis Yannoukakos; M. Pilar Zamora; Wei Zheng; Per Hall; Peter Kraft; Celine M. Vachon; Georgia Chenevix-Trench; Paul D.P. Pharoah; Alvaro A.N. Monteiro; Douglas F. Easton;
doi: 10.1038/ncomms11375
handle: 2336/611194 , 1887/113206 , 1765/81552 , 10668/10025 , 20.500.11820/11e3b572-7147-4e25-85b6-d9cc7351cc4a , 20.500.12105/7867 , 1874/344341 , 1854/LU-7900406
pmc: PMC4853421
pmid: 27117709
doi: 10.1038/ncomms11375
handle: 2336/611194 , 1887/113206 , 1765/81552 , 10668/10025 , 20.500.11820/11e3b572-7147-4e25-85b6-d9cc7351cc4a , 20.500.12105/7867 , 1874/344341 , 1854/LU-7900406
pmc: PMC4853421
pmid: 27117709
Countries: Belgium, Netherlands, Spain, United States, United Kingdom, Belgium, Sweden, Spain, United Kingdom, Spain ...Project: CIHR , NIH | Elucidating Loci Involved... (5U19CA148537-02), EC | COGS (223175), NWO | Secure and gentle grip of... (11477), NIH | Follow-up of Ovarian Canc... (3U19CA148112-04S1), NIH | A genome-wide association... (5R01CA128978-02), WT , NIH | Discovery Expansion and R... (5U19CA148065-04)Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10−8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction. B.C.A.C. was funded through a European Community Seventh Framework Programme under grant agreement no 223175 (HEALTH-F2-2009-223175; COGS); Cancer Research UK (C1287/A10118, C1287/A10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692); the National Institutes of Health Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), R01 grants (CA128978, CA176785, CA192393), and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112 - the GAME-ON initiative); the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer, the Breast Cancer Res. Foundation, and the Ovarian Cancer Research Fund. CIMBA genotyping was supported by National Institutes of Health grant (CA128978); the Department of Defence (W81XWH-10-1-0341); and the Breast Cancer Res. Foundation. CIMBA data management and data analysis were supported by Cancer Research UK grants C12292/A11174 and C1287/A10118. This study made use of data generated by the Wellcome Trust Case Control consortium. Functional studies were supported by the Florida Breast Cancer Foundation. A full description of funding and acknowledgments is provided in Supplementary Note 1.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . Other literature type . 2020 . Embargo End Date: 04 Feb 2021Open AccessAuthors:Carlevaro-Fita J.; Lanzos A.; Feuerbach L.; Hong C.; Mas-Ponte D.; Pedersen J. S.; Abascal F.; Amin S. B.; Bader G. D.; Barenboim J.; +127 moreCarlevaro-Fita J.; Lanzos A.; Feuerbach L.; Hong C.; Mas-Ponte D.; Pedersen J. S.; Abascal F.; Amin S. B.; Bader G. D.; Barenboim J.; Beroukhim R.; Bertl J.; Boroevich K. A.; Brunak S.; Campbell P. J.; Carlevaro-Fita J.; Chakravarty D.; Chan C. W. Y.; Chen K.; Choi J. K.; Deu-Pons J.; Dhingra P.; Diamanti K.; Feuerbach L.; Fink J. L.; Fonseca N. A.; Frigola J.; Gambacorti Passerini C.; Garsed D. W.; Gerstein M.; Getz G.; Gonzalez-Perez A.; Guo Q.; Gut I. G.; Haan D.; Hamilton M. P.; Haradhvala N. J.; Harmanci A. O.; Helmy M.; Herrmann C.; Hess J. M.; Hobolth A.; Hodzic E.; Hong C.; Hornshoj H.; Isaev K.; Izarzugaza J. M. G.; Johnson R.; Johnson T. A.; Juul M.; Juul R. I.; Kahles A.; Kahraman A.; Kellis M.; Khurana E.; Kim J.; Kim J. K.; Kim Y.; Komorowski J.; Korbel J. O.; Kumar S.; Lanzos A.; Larsson E.; Lawrence M. S.; Lee D.; Lehmann K. -V.; Li S.; Li X.; Lin Z.; Liu E. M.; Lochovsky L.; Lou S.; Madsen T.; Marchal K.; Martincorena I.; Martinez-Fundichely A.; Maruvka Y. E.; McGillivray P. D.; Meyerson W.; Muinos F.; Mularoni L.; Nakagawa H.; Nielsen M. M.; Paczkowska M.; Park K.; Park K.; Pedersen J. S.; Pich O.; Pons T.; Pulido-Tamayo S.; Raphael B. J.; Reimand J.; Reyes-Salazar I.; Reyna M. A.; Rheinbay E.; Rubin M. A.; Rubio-Perez C.; Sabarinathan R.; Sahinalp S. C.; Saksena G.; Salichos L.; Sander C.; Schumacher S. E.; Shackleton M.; Shapira O.; Shen C.; Shrestha R.; Shuai S.; Sidiropoulos N.; Sieverling L.; Sinnott-Armstrong N.; Stein L. D.; Stuart J. M.; Tamborero D.; Tiao G.; Tsunoda T.; Umer H. M.; Uuskula-Reimand L.; Valencia A.; Vazquez M.; Verbeke L. P. C.; Wadelius C.; Wadi L.; Wang J.; Warrell J.; Waszak S. M.; Weischenfeldt J.; Wheeler D. A.; Wu G.; Yu J.; Zhang J.; Zhang X.; Zhang Y.; Zhao Z.; Zou L.; von Mering C.; Johnson R.;
doi: 10.17863/cam.64282 , 10.3929/ethz-b-000399368 , 10.17863/cam.64917 , 10.7892/boris.143033 , 10.1038/s42003-019-0741-7
pmc: PMC7002399
handle: 2066/288696 , 20.500.11850/399368 , 1854/LU-8658728
Publisher: Apollo - University of Cambridge RepositoryCountries: Netherlands, Switzerland, Italy, Belgium, Switzerland, Sweden, Spain, Denmark, United KingdomLong non-coding RNAs (lncRNAs) are a growing focus of cancer genomics studies, creating the need for a resource of lncRNAs with validated cancer roles. Furthermore, it remains debated whether mutated lncRNAs can drive tumorigenesis, and whether such functions could be conserved during evolution. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we introduce the Cancer LncRNA Census (CLC), a compilation of 122 GENCODE lncRNAs with causal roles in cancer phenotypes. In contrast to existing databases, CLC requires strong functional or genetic evidence. CLC genes are enriched amongst driver genes predicted from somatic mutations, and display characteristic genomic features. Strikingly, CLC genes are enriched for driver mutations from unbiased, genome-wide transposon-mutagenesis screens in mice. We identified 10 tumour-causing mutations in orthologues of 8 lncRNAs, including LINC-PINT and NEAT1, but not MALAT1. Thus CLC represents a dataset of high-confidence cancer lncRNAs. Mutagenesis maps are a novel means for identifying deeply-conserved roles of lncRNAs in tumorigenesis. Communications Biology, 3 (1) ISSN:2399-3642
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You have already added works in your ORCID record related to the merged Research product. - Publication . Preprint . Article . 2017 . Embargo End Date: 01 Jan 2017Open AccessAuthors:Begy, Sean B.; Wade, Gregg A.; Handler, Gerald; Pigulski, Andrzej; Sikora, James; Shultz, Matt;Begy, Sean B.; Wade, Gregg A.; Handler, Gerald; Pigulski, Andrzej; Sikora, James; Shultz, Matt;Publisher: arXiv
We report BRITE-Constellation photometry of the beta Cep pulsator xi 1 CMa. Analysis of these data reveals a single pulsation period of 0.2095781(3) d, along with its first and second harmonics. We find no evidence for any other frequencies, limiting the value of this star as a target for magneto-asteroseismology. We em- ploy the 17-year database of RV measurements of xi 1 CMa to evaluate evidence for the reported change in pulsation period, and interpret this period change in terms of stellar evolution. We measure a rate-of-change of the period equal to 0.009(1) s/yr, consistent with that reported in the literature. Comment: 5 pages, proceedings of the 3rd BRITE-Constellation Science Conference, Lac Taureau, 2017
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . Other literature type . 2013Open Access EnglishAuthors:Maimoona A. Zariwala; Heon Yung Gee; Małgorzata Kurkowiak; Dalal A. Al-Mutairi; Margaret W. Leigh; Toby W. Hurd; Rim Hjeij; Sharon D. Dell; Moumita Chaki; Gerard W. Dougherty; +48 moreMaimoona A. Zariwala; Heon Yung Gee; Małgorzata Kurkowiak; Dalal A. Al-Mutairi; Margaret W. Leigh; Toby W. Hurd; Rim Hjeij; Sharon D. Dell; Moumita Chaki; Gerard W. Dougherty; Mohamed Adan; Philip C. Spear; Julian Esteve-Rudd; Niki T. Loges; Margaret Rosenfeld; Katrina A. Diaz; Heike Olbrich; Whitney E. Wolf; Eamonn Sheridan; Trevor F.C. Batten; Jan Halbritter; Jonathan D. Porath; Stefan Kohl; Svjetlana Lovric; Daw Yang Hwang; Jessica E. Pittman; Kimberlie A. Burns; Thomas W. Ferkol; Scott D. Sagel; Kenneth N. Olivier; Lucy Morgan; Claudius Werner; Johanna Raidt; Petra Pennekamp; Zhaoxia Sun; Weibin Zhou; Rannar Airik; Sivakumar Natarajan; Susan J. Allen; Israel Amirav; Dagmar Wieczorek; Kerstin Landwehr; Kim G. Nielsen; Nicolaus Schwerk; Jadranka Sertić; Gabriele Köhler; Joseph Washburn; Shawn Levy; Shuling Fan; Cordula Koerner-Rettberg; Serge Amselem; David S. Williams; Brian J. Mitchell; Iain A. Drummond; Edgar A. Otto; Heymut Omran; Michael R. Knowles; Friedhelm Hildebrandt;Publisher: HAL CCSDCountries: France, Germany, CroatiaProject: NIH | Genetic Disorder of Mucoc... (5U54HL096458-14), NIH | Identifying all Meckel-li... (1RC4DK090917-01), WT , NIH | Novel genetics, pathobiol... (5R01DK068306-17), NIH | Pathogenesis of PCD Lung ... (5R01HL071798-04), NIH | Colorado Clinical and Tra... (3UL1TR000154-05S1)
Defects of motile cilia cause primary ciliary dyskinesia (PCD), characterized by recurrent respiratory infections and male infertility. Using whole-exome resequencing and high-throughput mutation analysis, we identified recessive biallelic mutations in ZMYND10 in 14 families and mutations in the recently identified LRRC6 in 13 families. We show that ZMYND10 and LRRC6 interact and that certain ZMYND10 and LRRC6 mutations abrogate the interaction between the LRRC6 CS domain and the ZMYND10 C-terminal domain. Additionally, ZMYND10 and LRRC6 colocalize with the centriole markers SAS6 and PCM1. Mutations in ZMYND10 result in the absence of the axonemal protein components DNAH5 and DNALI1 from respiratory cilia. Animal models support the association between ZMYND10 and human PCD, given that zmynd10 knockdown in zebrafish caused ciliary paralysis leading to cystic kidneys and otolith defects and that knockdown in Xenopus interfered with ciliogenesis. Our findings suggest that a cytoplasmic protein complex containing ZMYND10 and LRRC6 is necessary for motile ciliary function. © 2013 The American Society of Human Genetics.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Part of book or chapter of book . 2015Closed AccessAuthors:Tomasz Galkowski; Miroslaw Pawlak;Tomasz Galkowski; Miroslaw Pawlak;Publisher: Springer International Publishing
The article concerns of the problem of regression functions estimation when the output is contaminated by additive nonstationary noise. We investigate the model \(y_i = R\left( {{\bf x _i}} \right) + Z _i ,\,i = 1,2, \ldots n\), where x i is assumed to be the set of deterministic inputs (d-dimensional vector), y i is the scalar, probabilistic outputs, and Z i is a measurement noise with zero mean and variance depending on n. \(R\left( . \right)\) is a completely unknown function. The problem of finding function \(R\left( . \right)\) may be solved by applying non-parametric methodology, for instance: algorithms based on the Parzen kernel or algorithms derived from orthogonal series. In this work we present the orthogonal series approach. The analysis has been made for some class of nonstationarity. We present the conditions of convergence of the estimation algorithm for the variance of noise growing up when number of observations is tending to infinity. The results of numerical simulations are presented.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2018Open Access EnglishAuthors:Anne Lise Courbis; Ruth Murray; Sylvie Arnavielhe; Davide Caimmi; Anna Bedbrook; Michiel van Eerd; Govert De Vries; Gérard Dray; Ioana Agache; Mário Morais-Almeida; +32 moreAnne Lise Courbis; Ruth Murray; Sylvie Arnavielhe; Davide Caimmi; Anna Bedbrook; Michiel van Eerd; Govert De Vries; Gérard Dray; Ioana Agache; Mário Morais-Almeida; Claus Bachert; Karl Christian Bergmann; Sinthia Bosnic-Anticevich; Jan Brozek; Caterina Bucca; Paulo Augusto Moreira Camargos; Giorgio Walter Canonica; W. Carr; Thomas B. Casale; João Fonseca; Tari Haahtela; Omer Kalayci; Ludger Klimek; Piotr Kuna; Violeta Kvedariene; Désirée Larenas Linnemann; Phil Lieberman; Joaquim Mullol; Robyn E O'Hehir; Nikolaos G. Papadopoulos; David Price; Dermot Ryan; Bolesław Samoliński; F. Estelle R. Simons; Peter Valentin Tomazic; Massimo Triggiani; Arunas Valiulis; Erkka Valovirta; Martin Wagenmann; Magnus Wickman; Arzu Yorgancioglu; Jean Bousquet;
doi: 10.1111/cea.13230
pmid: 29999223
Publisher: Blackwell Publishing LtdCountries: Turkey, Finland, Italy, FranceBackground: Allergic rhinitis (AR) management has changed in recent years following the switch from the concept of disease severity to the concept of disease control, publication of the AR clinical decision support system (CDSS) and development of mobile health (m-health) tools for patients (eg Allergy Diary). The Allergy Diary Companion app for healthcare providers is currently being developed and will be launched in 2018. It incorporates the AR CDSS to provide evidence-based treatment recommendations, linking all key stakeholders in AR management. Objective: To produce an electronic version of the AR CDSS (e-CDSS) for incorporation into the Allergy Diary Companion, to describe the app interfaces used to collect information necessary to inform the e-CDSS and to summarize some key features of the Allergy Diary Companion. Methods: The steps involved in producing the e-CDSS and incorporating it into the Allergy Diary Companion were (a) generation of treatment management scenarios; (b) expert consensus on treatment recommendations; (c) generation of electronic decisional algorithms to describe all AR CDSS scenarios; (d) digitization of these algorithms to form the e-CDSS; and (e) embedding the e-CDSS into the app to permit easy user e-CDSS interfacing. Results: Key experts in the AR field agreed on the AR CDSS approach to AR management and on specific treatment recommendations provided by Allergy Diary Companion. Based on this consensus, decision processes were developed and programmed into the Allergy Diary Companion using Titanium Appcelerator (JavaScript) for IOS tablets. To our knowledge, this is the first time the development of any m-health tool has been described in this transparent and detailed way, providing confidence, not only in the app, but also in the provided management recommendations. Conclusion: The Allergy Diary Companion for providers provides guideline and expert-endorsed AR management recommendations. [MASK paper No 32]. © 2018 John Wiley & Sons Ltd
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2016Open AccessAuthors:Geneviève C. Vallée; Daniella Santos Muñoz; David Sankoff;Geneviève C. Vallée; Daniella Santos Muñoz; David Sankoff;Publisher: Springer Science and Business Media LLCProject: NSERC
Background Recent progress in selective breeding of maize (Zea mays L.) towards adaptation to temperate climate has allowed the production of inbred lines withstanding cold springs with temperatures below 8 °C or even close to 0 °C, indicating that despite its tropical origins maize is not inherently cold-sensitive. Results Here we studied the acclimatory response of three maize inbred lines of contrasting cold-sensitivity selected basing on multi-year routine field data. The field observations were confirmed in the growth chamber. Under controlled conditions the damage to the photosynthetic apparatus due to severe cold treatment was the least in the cold-tolerant line provided that it had been subjected to prior moderate chilling, i.e., acclimation. The cold-sensitive lines performed equally poorly with or without acclimation. To uncover the molecular basis of the attained cold-acclimatability we performed comparative transcriptome profiling of the response of the lines to the cold during acclimation phase by means of microarrays with a statistical and bioinformatic data analysis. Conclusions The analyses indicated three mechanisms likely responsible for the cold-tolerance: acclimation-dependent modification of the photosynthetic apparatus, cell wall properties, and developmental processes. Those conclusions supported the observed acclimation of photosynthesis to severe cold at moderate chilling and were further confirmed by experimentally showing specific modification of cell wall properties and repression of selected miRNA species, general regulators of development, in the cold-tolerant line subjected to cold stress. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2453-4) contains supplementary material, which is available to authorized users.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2018Open AccessAuthors:Aida Z, Kebede; Jayelle, Friesen-Enns; Belaghihalli N, Gnanesh; Jim G, Menzies; Jennifer W, Mitchell Fetch; James, Chong; Aaron D, Beattie; Edyta, Paczos-Grzęda; Curt A, McCartney;Aida Z, Kebede; Jayelle, Friesen-Enns; Belaghihalli N, Gnanesh; Jim G, Menzies; Jennifer W, Mitchell Fetch; James, Chong; Aaron D, Beattie; Edyta, Paczos-Grzęda; Curt A, McCartney;
pmid: 30554147
pmc: PMC6385968
Molecular mapping of crown rust resistance genes is important to effectively utilize these genes and improve breeding efficiency through marker-assisted selection. Pc45 is a major race-specific crown rust resistance gene initially identified in the wild hexaploid oat Avena sterilis in the early 1970s. This gene was transferred to cultivated oat (Avena sativa) and has been used as a differential for identification of crown rust races since 1974. Previous research identified an association between virulence to Pc45 and PcKM, a crown rust resistance gene in the varieties ‘Kame’ and ‘Morton’. This study was undertaken to reveal the relationship between Pc45 and PcKM. Pc45 was studied in the crosses ‘AC Morgan’/Pc45 and ‘Kasztan’/Pc45, where Pc45 is the differential line carrying Pc45. F2 progenies and F2:3 families of both populations were inoculated with the crown rust isolate CR258 (race NTGG) and single gene segregation ratios were observed. SNP markers for PcKM were tested on these populations and linkage maps were generated. In addition, 17 newly developed SNP markers identified from genotyping-by-sequencing (GBS) data were mapped in these two populations, plus another three populations segregating for Pc45 or PcKM. Pc45 and PcKM mapped to the same location of Mrg08 (chromosome 12D) of the oat chromosome-anchored consensus map. These results strongly suggest that Pc45 and PcKM are the same resistance gene, but allelism (i.e., functionally different alleles of the same gene) or tight linkage (i.e., two tightly linked genes) cannot be ruled out based on the present data.
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You have already added works in your ORCID record related to the merged Research product. - Publication . Article . 2020Closed AccessAuthors:Manisha Singla; Debdas Ghosh; Kaushal K. Shukla; Witold Pedrycz;Manisha Singla; Debdas Ghosh; Kaushal K. Shukla; Witold Pedrycz;Publisher: Elsevier BV
Abstract In this work, with the help of the rescaled Hinge loss, we propose a twin support vector regression (TSVR) model that is robust to noise. The corresponding optimization problem turns out to be non-convex with smooth l2 regularizer. To solve the problem efficiently, we convert it to its dual form, thereby transforming it into a convex optimization problem. An algorithm, named Res-TSVR, is provided to solve the formulated dual problem. The proof of the convergence of the algorithm is given. It is shown that the maximum number of iterations to achieve an e-precision solution to the dual problem is O ( log ( 1 e ) ) . We conduct a set of numerical experiments to compare the proposed method with the recently proposed robust approaches of TSVR and the standard SVR. Experimental results reveal that the proposed approach outperforms other robust methods of TSVR in terms of generalization performance and robustness to noise with comparable training time. This claim is based on the experiments performed using seven real-world data sets and three synthetic data sets.
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You have already added works in your ORCID record related to the merged Research product.