ALBERT

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Susan P -- Baker, Timothy D -- New York, N.Y. -- Science. 2002 May 17;296(5571):1237.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12025831" target="_blank"〉PubMed〈/a〉

Description: Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182531/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182531/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International Multiple Sclerosis Genetics Consortium -- Wellcome Trust Case Control Consortium 2 -- Sawcer, Stephen -- Hellenthal, Garrett -- Pirinen, Matti -- Spencer, Chris C A -- Patsopoulos, Nikolaos A -- Moutsianas, Loukas -- Dilthey, Alexander -- Su, Zhan -- Freeman, Colin -- Hunt, Sarah E -- Edkins, Sarah -- Gray, Emma -- Booth, David R -- Potter, Simon C -- Goris, An -- Band, Gavin -- Oturai, Annette Bang -- Strange, Amy -- Saarela, Janna -- Bellenguez, Celine -- Fontaine, Bertrand -- Gillman, Matthew -- Hemmer, Bernhard -- Gwilliam, Rhian -- Zipp, Frauke -- Jayakumar, Alagurevathi -- Martin, Roland -- Leslie, Stephen -- Hawkins, Stanley -- Giannoulatou, Eleni -- D'alfonso, Sandra -- Blackburn, Hannah -- Martinelli Boneschi, Filippo -- Liddle, Jennifer -- Harbo, Hanne F -- Perez, Marc L -- Spurkland, Anne -- Waller, Matthew J -- Mycko, Marcin P -- Ricketts, Michelle -- Comabella, Manuel -- Hammond, Naomi -- Kockum, Ingrid -- McCann, Owen T -- Ban, Maria -- Whittaker, Pamela -- Kemppinen, Anu -- Weston, Paul -- Hawkins, Clive -- Widaa, Sara -- Zajicek, John -- Dronov, Serge -- Robertson, Neil -- Bumpstead, Suzannah J -- Barcellos, Lisa F -- Ravindrarajah, Rathi -- Abraham, Roby -- Alfredsson, Lars -- Ardlie, Kristin -- Aubin, Cristin -- Baker, Amie -- Baker, Katharine -- Baranzini, Sergio E -- Bergamaschi, Laura -- Bergamaschi, Roberto -- Bernstein, Allan -- Berthele, Achim -- Boggild, Mike -- Bradfield, Jonathan P -- Brassat, David -- Broadley, Simon A -- Buck, Dorothea -- Butzkueven, Helmut -- Capra, Ruggero -- Carroll, William M -- Cavalla, Paola -- Celius, Elisabeth G -- Cepok, Sabine -- Chiavacci, Rosetta -- Clerget-Darpoux, Francoise -- Clysters, Katleen -- Comi, Giancarlo -- Cossburn, Mark -- Cournu-Rebeix, Isabelle -- Cox, Mathew B -- Cozen, Wendy -- Cree, Bruce A C -- Cross, Anne H -- Cusi, Daniele -- Daly, Mark J -- Davis, Emma -- de Bakker, Paul I W -- Debouverie, Marc -- D'hooghe, Marie Beatrice -- Dixon, Katherine -- Dobosi, Rita -- Dubois, Benedicte -- Ellinghaus, David -- Elovaara, Irina -- Esposito, Federica -- Fontenille, Claire -- Foote, Simon -- Franke, Andre -- Galimberti, Daniela -- Ghezzi, Angelo -- Glessner, Joseph -- Gomez, Refujia -- Gout, Olivier -- Graham, Colin -- Grant, Struan F A -- Guerini, Franca Rosa -- Hakonarson, Hakon -- Hall, Per -- Hamsten, Anders -- Hartung, Hans-Peter -- Heard, Rob N -- Heath, Simon -- Hobart, Jeremy -- Hoshi, Muna -- Infante-Duarte, Carmen -- Ingram, Gillian -- Ingram, Wendy -- Islam, Talat -- Jagodic, Maja -- Kabesch, Michael -- Kermode, Allan G -- Kilpatrick, Trevor J -- Kim, Cecilia -- Klopp, Norman -- Koivisto, Keijo -- Larsson, Malin -- Lathrop, Mark -- Lechner-Scott, Jeannette S -- Leone, Maurizio A -- Leppa, Virpi -- Liljedahl, Ulrika -- Bomfim, Izaura Lima -- Lincoln, Robin R -- Link, Jenny -- Liu, Jianjun -- Lorentzen, Aslaug R -- Lupoli, Sara -- Macciardi, Fabio -- Mack, Thomas -- Marriott, Mark -- Martinelli, Vittorio -- Mason, Deborah -- McCauley, Jacob L -- Mentch, Frank -- Mero, Inger-Lise -- Mihalova, Tania -- Montalban, Xavier -- Mottershead, John -- Myhr, Kjell-Morten -- Naldi, Paola -- Ollier, William -- Page, Alison -- Palotie, Aarno -- Pelletier, Jean -- Piccio, Laura -- Pickersgill, Trevor -- Piehl, Fredrik -- Pobywajlo, Susan -- Quach, Hong L -- Ramsay, Patricia P -- Reunanen, Mauri -- Reynolds, Richard -- Rioux, John D -- Rodegher, Mariaemma -- Roesner, Sabine -- Rubio, Justin P -- Ruckert, Ina-Maria -- Salvetti, Marco -- Salvi, Erika -- Santaniello, Adam -- Schaefer, Catherine A -- Schreiber, Stefan -- Schulze, Christian -- Scott, Rodney J -- Sellebjerg, Finn -- Selmaj, Krzysztof W -- Sexton, David -- Shen, Ling -- Simms-Acuna, Brigid -- Skidmore, Sheila -- Sleiman, Patrick M A -- Smestad, Cathrine -- Sorensen, Per Soelberg -- Sondergaard, Helle Bach -- Stankovich, Jim -- Strange, Richard C -- Sulonen, Anna-Maija -- Sundqvist, Emilie -- Syvanen, Ann-Christine -- Taddeo, Francesca -- Taylor, Bruce -- Blackwell, Jenefer M -- Tienari, Pentti -- Bramon, Elvira -- Tourbah, Ayman -- Brown, Matthew A -- Tronczynska, Ewa -- Casas, Juan P -- Tubridy, Niall -- Corvin, Aiden -- Vickery, Jane -- Jankowski, Janusz -- Villoslada, Pablo -- Markus, Hugh S -- Wang, Kai -- Mathew, Christopher G -- Wason, James -- Palmer, Colin N A -- Wichmann, H-Erich -- Plomin, Robert -- Willoughby, Ernest -- Rautanen, Anna -- Winkelmann, Juliane -- Wittig, Michael -- Trembath, Richard C -- Yaouanq, Jacqueline -- Viswanathan, Ananth C -- Zhang, Haitao -- Wood, Nicholas W -- Zuvich, Rebecca -- Deloukas, Panos -- Langford, Cordelia -- Duncanson, Audrey -- Oksenberg, Jorge R -- Pericak-Vance, Margaret A -- Haines, Jonathan L -- Olsson, Tomas -- Hillert, Jan -- Ivinson, Adrian J -- De Jager, Philip L -- Peltonen, Leena -- Stewart, Graeme J -- Hafler, David A -- Hauser, Stephen L -- McVean, Gil -- Donnelly, Peter -- Compston, Alastair -- 068545/Z/02/Wellcome Trust/United Kingdom -- 075491/Z/04/Z/Wellcome Trust/United Kingdom -- 084702/Wellcome Trust/United Kingdom -- 085475/Wellcome Trust/United Kingdom -- 085475/B/08/Z/Wellcome Trust/United Kingdom -- 085475/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 898/Multiple Sclerosis Society/United Kingdom -- AI076544/AI/NIAID NIH HHS/ -- CA104021/CA/NCI NIH HHS/ -- G0100594/Medical Research Council/United Kingdom -- G0400017/Medical Research Council/United Kingdom -- G0700061/Medical Research Council/United Kingdom -- G0901310/Medical Research Council/United Kingdom -- G0901461/Medical Research Council/United Kingdom -- G19/2/Medical Research Council/United Kingdom -- K23N/S048869/PHS HHS/ -- NS032830/NS/NINDS NIH HHS/ -- NS049477/NS/NINDS NIH HHS/ -- NS049510/NS/NINDS NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS19142/NS/NINDS NIH HHS/ -- NS26799/NS/NINDS NIH HHS/ -- NS43559/NS/NINDS NIH HHS/ -- PDA/02/06/016/Department of Health/United Kingdom -- R01 NS026799/NS/NINDS NIH HHS/ -- R01 NS049477/NS/NINDS NIH HHS/ -- R01 NS049477-06A1/NS/NINDS NIH HHS/ -- RR020092/RR/NCRR NIH HHS/ -- RR024992/RR/NCRR NIH HHS/ -- UL1 TR000448/TR/NCATS NIH HHS/ -- Medical Research Council/United Kingdom -- England -- Nature. 2011 Aug 10;476(7359):214-9. doi: 10.1038/nature10251.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21833088" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, M -- New York, N.Y. -- Science. 1999 Jan 29;283(5402):617, 619.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9988653" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, M -- New York, N.Y. -- Science. 1999 Jan 1;283(5398):16-7.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9917255" target="_blank"〉PubMed〈/a〉

Description: Plasma Abeta42 (amyloid beta42 peptide) is invariably elevated in early-onset familial Alzheimer's disease (AD), and it is also increased in the first-degree relatives of patients with typical late-onset AD (LOAD). To detect LOAD loci that increase Abeta42, we used plasma Abeta42 as a surrogate trait and performed linkage analysis on extended AD pedigrees identified through a LOAD patient with extremely high plasma Abeta. Here, we report linkage to chromosome 10 with a maximal lod score of 3.93 at 81 centimorgans close to D10S1225. Remarkably, linkage to the same region was obtained independently in a genome-wide screen of LOAD sibling pairs. These results provide strong evidence for a novel LOAD locus on chromosome 10 that acts to increase Abeta.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ertekin-Taner, N -- Graff-Radford, N -- Younkin, L H -- Eckman, C -- Baker, M -- Adamson, J -- Ronald, J -- Blangero, J -- Hutton, M -- Younkin, S G -- AG06656/AG/NIA NIH HHS/ -- MH59490/MH/NIMH NIH HHS/ -- P50 AG16574/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2000 Dec 22;290(5500):2303-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Mayo Clinic Jacksonville, Jacksonville, FL 32224, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11125143" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Daniel N -- New York, N.Y. -- Science. 2002 Aug 30;297(5586):1486-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO 80309, USA. daniel.baker@lasp.colorado.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12202809" target="_blank"〉PubMed〈/a〉

Description: Genome sequencing projects are producing linear amino acid sequences, but full understanding of the biological role of these proteins will require knowledge of their structure and function. Although experimental structure determination methods are providing high-resolution structure information about a subset of the proteins, computational structure prediction methods will provide valuable information for the large fraction of sequences whose structures will not be determined experimentally. The first class of protein structure prediction methods, including threading and comparative modeling, rely on detectable similarity spanning most of the modeled sequence and at least one known structure. The second class of methods, de novo or ab initio methods, predict the structure from sequence alone, without relying on similarity at the fold level between the modeled sequence and any of the known structures. In this Viewpoint, we begin by describing the essential features of the methods, the accuracy of the models, and their application to the prediction and understanding of protein function, both for single proteins and on the scale of whole genomes. We then discuss the important role that protein structure prediction methods play in the growing worldwide effort in structural genomics.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, D -- Sali, A -- GM 54762/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2001 Oct 5;294(5540):93-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. dabaker@u.washington.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11588250" target="_blank"〉PubMed〈/a〉

Description: Previous studies have demonstrated that allelic deletions of the short arm of chromosome 17 occur in over 75% of colorectal carcinomas. Twenty chromosome 17p markers were used to localize the common region of deletion in these tumors to a region contained within bands 17p12 to 17p13.3. This region contains the gene for the transformation-associated protein p53. Southern and Northern blot hybridization experiments provided no evidence for gross alterations of the p53 gene or surrounding sequences. As a more rigorous test of the possibility that p53 was a target of the deletions, the p53 coding regions from two tumors were analyzed; these two tumors, like most colorectal carcinomas, had allelic deletions of chromosome 17p and expressed considerable amounts of p53 messenger RNA from the remaining allele. The remaining p53 allele was mutated in both tumors, with an alanine substituted for valine at codon 143 of one tumor and a histidine substituted for arginine at codon 175 of the second tumor. Both mutations occurred in a highly conserved region of the p53 gene that was previously found to be mutated in murine p53 oncogenes. The data suggest that p53 gene mutations may be involved in colorectal neoplasia, perhaps through inactivation of a tumor suppressor function of the wild-type p53 gene.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, S J -- Fearon, E R -- Nigro, J M -- Hamilton, S R -- Preisinger, A C -- Jessup, J M -- vanTuinen, P -- Ledbetter, D H -- Barker, D F -- Nakamura, Y -- White, R -- Vogelstein, B -- GM07184/GM/NIGMS NIH HHS/ -- GM07309/GM/NIGMS NIH HHS/ -- HD20619/HD/NICHD NIH HHS/ -- etc. -- New York, N.Y. -- Science. 1989 Apr 14;244(4901):217-21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Oncology Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/2649981" target="_blank"〉PubMed〈/a〉

Description: TRAIL (also called Apo2L) belongs to the tumor necrosis factor family, activates rapid apoptosis in tumor cells, and binds to the death-signaling receptor DR4. Two additional TRAIL receptors were identified. The receptor designated death receptor 5 (DR5) contained a cytoplasmic death domain and induced apoptosis much like DR4. The receptor designated decoy receptor 1 (DcR1) displayed properties of a glycophospholipid-anchored cell surface protein. DcR1 acted as a decoy receptor that inhibited TRAIL signaling. Thus, a cell surface mechanism exists for the regulation of cellular responsiveness to pro-apoptotic stimuli.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sheridan, J P -- Marsters, S A -- Pitti, R M -- Gurney, A -- Skubatch, M -- Baldwin, D -- Ramakrishnan, L -- Gray, C L -- Baker, K -- Wood, W I -- Goddard, A D -- Godowski, P -- Ashkenazi, A -- New York, N.Y. -- Science. 1997 Aug 8;277(5327):818-21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Oncology, Genentech, South San Francisco, CA 94080-4918, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9242611" target="_blank"〉PubMed〈/a〉

Description: People exert large amounts of problem-solving effort playing computer games. Simple image- and text-recognition tasks have been successfully 'crowd-sourced' through games, but it is not clear if more complex scientific problems can be solved with human-directed computing. Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non-scientists in solving hard prediction problems. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. We show that top-ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Players working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only the conformational space but also the space of possible search strategies. The integration of human visual problem-solving and strategy development capabilities with traditional computational algorithms through interactive multiplayer games is a powerful new approach to solving computationally-limited scientific problems.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956414/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956414/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cooper, Seth -- Khatib, Firas -- Treuille, Adrien -- Barbero, Janos -- Lee, Jeehyung -- Beenen, Michael -- Leaver-Fay, Andrew -- Baker, David -- Popovic, Zoran -- Players, Foldit -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Aug 5;466(7307):756-60. doi: 10.1038/nature09304.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science and Engineering, University of Washington, Box 352350, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20686574" target="_blank"〉PubMed〈/a〉