A multi-ethnic genome-wide association study identifies novel loci for non-syndromic cleft lip with or without cleft palate on 2p24.2, 17q23 and 19q13
Notice bibliographique
Résumé
AUTORES: Elizabeth J. Leslie1, Jenna C. Carlson1,2, John R. Shaffer1,3, Eleanor Feingold1,2,3, George Wehby4, Cecelia A. Laurie5, Deepti Jain5, Cathy C. Laurie5, Kimberly F. Doheny6, Toby McHenry1, Judith Resick1, Carla Sanchez1, Jennifer Jacobs1, Beth Emanuele1, Alexandre R. Vieira1,3, Katherine Neiswanger1, Andrew C. Lidral7, Luz Consuelo Valencia-Ramirez11, Ana Maria Lopez-Palacio12, Dora Rivera Valencia13, Mauricio Arcos-Burgos14, Andrew E. Czeizel15, L. Leigh Field16, Carmencita D. Padilla17,18, Eva Maria, C. Cutiongco-de la Paz17,18, Frederic Deleyiannis19, Kaare Christensen20, Ronald G. Munger21, Rolv T. Lie22, Allen Wilcox23, Paul A. Romitti8, Eduardo E. Castilla24,25,26, Juan C. Mereb28, Fernando A. Poletta24,25,26,I^eda M. Orioli26,27, Flavia M. Carvalho25,26, Jacqueline T. Hecht29, Susan H. Blanton30, Carmen J. Bux o31, Azeez Butali9, Peter A. Mossey32, Wasiu L. Adeyemo33, Olutayo James33, Ramat O. Braimah34, Babatunde S. Aregbesola34, Mekonen A. Eshete35, Fikre Abate35, Mine Koruyucu36, Figen Seymen36, Lian Ma37, Javier Enr ıquez de Salamanca38, Seth M. Weinberg1, Lina Moreno7, Jeffrey C. Murray10 and Mary L. Marazita1,3,39,* INSTITUIÇÕES: 1Department of Oral Biology, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA, 2Department of Biostatistics and 3Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA, 4Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, IA 52246, USA, 5Department of Biostatistics, Genetic Coordinating Center, University of Washington, Seattle, WA 98195, USA, 6Center for Inherited Disease Research, Johns Hopkins University, Baltimore, MD 21224, USA, 7Department of Orthodontics and 8Department of Epidemiology, College of Public Health, 9Department of Oral Pathology, Radiology and Medicine, Dows Institute for Dental Research, College of Dentistry, and 10Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA, 11Fundaci on Cl ınica Noel, Medellin 050012, Colombia, 12Department of Basic Integrated Studies, College of Dentistry and 13Population Genetics and Mutacarcinogenesis Group, University of Antioquia, Medellin 050001, Colombia, 14Genomics and Predictive Medicine, Genome Biology Department, John Curtin School of Medical Research, ANU College of Medicine, Biology & Environment, The Australian National University, Canberra, ACT 0200, Australia, 15Foundation for the Community Control of Hereditary Diseases, Budapest 1051, Hungary, 16Department of Medical Genetics, University of British Columbia, Vancouver V6H 3N1, Canada, 17Department of Pediatrics, College of Medicine; and Institute of Human Genetics, National Institutes of Health; University of the Philippines Manila, Manilla, The Philippines 1000 and 18Philippine Genome Center, University of the Philippines System, Manilla, The Philippines 1101, 19Department of Surgery, Plastic and Reconstructive Surgery, University of Colorado School of Medicine, Denver, CO 80045, USA, 20Department of Epidemiology, Institute of Public Health, University of Southern Denmark, Odense DK-5230 Denmark, 21Department of Nutrition, Dietetics, and Food Sciences, Utah State University, Logan, UT 84322, USA, 22Department of Global Public Health and Primary Care, University of Bergen, Bergen, NO-5020 Norway, 23Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA, 24CEMIC: Center for Medical Education and Clinical Research, Buenos Aires 1431, Argentina, 25Laboratory of Congenital Malformation Epidemiology, Oswaldo Cruz Institute, FIOCRUZ, Rio de Janeiro 21040-360, Brazil, 26ECLAMC (Latin American Collaborative Study of Congenital Malformations) at INAGEMP (National Institute of Population Medical Genetics) and 27Department of Genetics, Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro 21941-617, Brazil, 28ECLAMC (Latin American Collaborative Study of Congenital Malformations) at Hospital de Area, El Bolson 8430, Argentina, 29Department of Pediatrics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA, 30Dr. John T.Macdonald Foundation Department of Human Genetics,Hussman Institute for Human Genomics, Mailman School of Medicine, University ofMiami, Miami, FL 33124,USA, 31School of Dental Medicine, University of Puerto Rico, San Juan, Puerto Rico 00936, 32Department of Orthodontics, University of Dundee, Dundee DD1 4HN, Scotland, 33Department of Oral and Maxillofacial Surgery. College of Medicine, University of Lagos, Lagos P.M.B. 12003, Nigeria, 34Department of Oral and Maxillofacial Surgery, Obafemi Awolowo University, Ife-Ife P.M.B. 13, Nigeria, 35Surgical Department, School of Medicine, Addis Ababa University, Addis Ababa, P.O. Box 26493, Ethiopia, 36Department of Pedodontics, Istanbul University, Istanbul 34116, Turkey, 37Peking University, School of Stomatology, Beijing 100081, China, 38Hospital Infantil Universitario Ni~no Jes us; Unidad de Cirug ıa Pl astica, Madrid 28009, Spain and 39Clinical and Translational Science, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».