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〉