Cargando…

Crowdsourcing genetic prediction of clinical utility in the Rheumatoid Arthritis Responder Challenge

Detalles Bibliográficos
Autores principales:	Plenge, Robert M., Greenberg, Jeffrey D., Mangravite, Lara M., Derry, Jonathan M. J., Stahl, Eli A., Coenen, Marieke J. H., Barton, Anne, Padyukov, Leonid, Klareskog, Lars, Gregersen, Peter K., Mariette, Xavier, Moreland, Larry W., Bridges, S Louis, de Vries, Niek, Huizinga, Tom W. J., Guchelaar, Henk-Jan, Friend, Stephen H., Stolovitzky, Gustavo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2013
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4084858/ https://www.ncbi.nlm.nih.gov/pubmed/23619782 http://dx.doi.org/10.1038/ng.2623

Ejemplares similares

Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
por: Sieberts, Solveig K., et al.
Publicado: (2016)

Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
por: Sieberts, Solveig K., et al.
Publicado: (2016)

Integration of Sequence Data from a Consanguineous Family with Genetic Data from an Outbred Population Identifies PLB1 as a Candidate Rheumatoid Arthritis Risk Gene
por: Okada, Yukinori, et al.
Publicado: (2014)

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
por: Kueffner, Robert, et al.
Publicado: (2019)

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis
por: Noren, David P., et al.
Publicado: (2016)

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection
por: Ewing, Adam D, et al.
Publicado: (2015)

Five amino acids in three HLA proteins explain most of the association between MHC and seropositive rheumatoid arthritis
por: Raychaudhuri, Soumya, et al.
Publicado: (2012)

Genome-Wide Association Study and Gene Expression Analysis Identifies CD84 as a Predictor of Response to Etanercept Therapy in Rheumatoid Arthritis
por: Cui, Jing, et al.
Publicado: (2013)

Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection
por: Lee, Anna Y., et al.
Publicado: (2018)

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis
por: Sun, Dongmei, et al.
Publicado: (2022)

Crowdsourced mapping of unexplored target space of kinase inhibitors
por: Cichońska, Anna, et al.
Publicado: (2021)

Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39
por: Spiliopoulou, Athina, et al.
Publicado: (2019)

Fine mapping the TAGAP risk locus in rheumatoid arthritis
por: Chen, R, et al.
Publicado: (2011)

Loci associated with N-glycosylation of human IgG are not associated with rheumatoid arthritis: a Mendelian randomisation study
por: Yarwood, Annie, et al.
Publicado: (2015)

Crowdsourcing & Gamification
por: Khelif, Marwan
Publicado: (2016)

The practice of crowdsourcing
por: Alonso, Omar, et al.
Publicado: (2019)

Crowdsourcing For Dummies
por: Grier, David
Publicado: (2013)

Crowdsourcing the Corpasome
por: Corpas, Manuel
Publicado: (2013)

Crowdsourcing data to mitigate epidemics
por: Leung, Gabriel M, et al.
Publicado: (2020)

Closing the loop on crowdsourced science
por: Robson, James M., et al.
Publicado: (2022)

Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback
por: Turner-McGrievy, Gabrielle M, et al.
Publicado: (2016)

Quantifying Missing Heritability at Known GWAS Loci
por: Gusev, Alexander, et al.
Publicado: (2013)

Scaling drug indication curation through crowdsourcing
por: Khare, Ritu, et al.
Publicado: (2015)

Brief Report: Identification of BACH2 and RAD51B as Rheumatoid Arthritis Susceptibility Loci in a Meta-Analysis of Genome-Wide Data
por: McAllister, Kate, et al.
Publicado: (2013)

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
por: Fourati, Slim, et al.
Publicado: (2018)

Digital libraries and crowdsourcing
por: Andro, Mathieu
Publicado: (2018)

Genes and environment in arthritis: can RA be prevented?
por: Klareskog, Lars, et al.
Publicado: (2002)

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
por: Tarca, Adi L., et al.
Publicado: (2021)

Crowdsourcing the Robin Hood effect in cities
por: Louail, Thomas, et al.
Publicado: (2017)

Translating Pharmacogenomics: Challenges on the Road to the Clinic
por: Swen, Jesse J, et al.
Publicado: (2007)

Crowdsourcing airway annotations in chest computed tomography images
por: Cheplygina, Veronika, et al.
Publicado: (2021)

Crowdsourcing Knowledge Discovery and Innovations in Medicine
por: Celi, Leo Anthony, et al.
Publicado: (2014)

Analysis of Drug Metabolizing Gene Panel in Osteosarcoma Patients Identifies Association Between Variants in SULT1E1, CYP2B6 and CYP4F8 and Methotrexate Levels and Toxicities
por: Hurkmans, Evelien G. E., et al.
Publicado: (2020)

Contribution of common and rare genetic variants in CEP72 on vincristine‐induced peripheral neuropathy in brain tumour patients
por: Klumpers, Marije J., et al.
Publicado: (2022)

The Common Oceanographer: Crowdsourcing the Collection of Oceanographic Data
por: Lauro, Federico M., et al.
Publicado: (2014)

Crowdsourcing for Cognitive Science – The Utility of Smartphones
por: Brown, Harriet R., et al.
Publicado: (2014)

Crowdsourced Asparagus Urinary Odor Population Kinetics
por: Ramamoorthy, Anuradha, et al.
Publicado: (2017)

Genetic Variants in Toll-Like Receptors Are Not Associated with Rheumatoid Arthritis Susceptibility or Anti-Tumour Necrosis Factor Treatment Outcome
por: Coenen, Marieke J. H., et al.
Publicado: (2010)

The complete idiot's guide to crowdsourcing
por: Sherman, Aliza
Publicado: (2011)

Crowdsourcing of sensor cloud services
por: Ghari Neiat, Azadeh, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_b250v6mfl1a8qu9gj9dfbs6gr3