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Enregistrement W2081905870 · doi:10.1038/oby.2007.609

Time to Move On

2007· article· en· W2081905870 sur OpenAlexaboutno aff
Claude Bouchard

Notice bibliographique

RevueObesity · 2007
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueNutrition, Genetics, and Disease
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCitationLibrary sciencePublishingResource (disambiguation)ObesityWorld Wide WebGerontologyMedicinePolitical scienceComputer scienceLawPathology

Résumé

récupéré en direct d'OpenAlex

In 1996, we began publishing in Obesity Research a review of the status of the human obesity gene map (1). Since then, 10 updates of the map have been published, the latest in 2006 covering the literature available as of the end of October 2005 (2). In 1999, an electronic version of the map was made available on the website of the Donald B. Brown Chair on Obesity at Université Laval in Quebec City, Canada. Later, in 2002, the web-based version of the map was migrated to the Human Genomics Laboratory web site at the Pennington Biomedical Research Center in Baton Rouge, LA, where I had moved. While the print version of the map continued to be a factual summary of the material published at a particular point in time, the web-based version (Obesity Gene Map Database or OGMDB) was enriched considerably and provided extensive linkages to other relevant resources. The printed version in Obesity (previously, Obesity Research) was well received by the scientific community, as evidenced by its relatively high rate of citation over the last 10 years (∼750 citations by the end of 2006). Similarly, the OGMDB resource enjoyed ∼15,000 hits per month in the last few years, with thousands of regular visitors. Interestingly, the most assiduous users were from the pharmaceutical industry and from biotechnology companies. Developing the yearly update of the map became progressively a major burden. For instance, the last rendition published in Obesity in 2006 reached a total of 116 journal pages. It had become an effort of a magnitude that could not be sustained without the addition of human resources dedicated solely to the project. Despite our best efforts, funds could not be raised in a timely fashion to make it possible for us to continue publishing these yearly updates. Fortunately, a joint effort by the National Institute on Aging at NIH and the Centers for Disease Control and Prevention will compensate in part for the termination of the human obesity gene map publication project and OGMDB. Indeed, these two entities have launched and are maintaining a database of human genetic association studies. The database can be accessed at http:geneticassociationdb.nih.gov. Obesity is not the main focus of the database, but it is included, along with many other diseases and conditions. While the human obesity gene map covered much more than association studies (i.e., Mendelian syndromes, human and animal model single gene defects, genomic scans performed in human cohorts and in animal models, transgenic and knockout murine data, etc.), the new NIH-CDC database focuses on one of the most critical lines of evidence to consider in assessing the role of gene polymorphisms. So it seems like a good time to move on. The field should continue to be well served by the new resource. The map project was made possible through the dedication and hard work of several colleagues at Université Laval and at the Pennington Biomedical Research Center. Even though I will not be able to thank them all here, I would like to express my gratitude to the very early collaborators, Drs. Louis Perusse and Yvon C. Chagnon, as well as John Weisnagel and Tuomo Rankinen, who joined the team soon thereafter. Thanks are also due to Drs. Eric E. Snyder, George Argyropoulos, and Aamir Zuberi, who brought additional expertise to the team in the later years. We were well supported by Diane Drolet in the early phase at Université Laval and, subsequently, by Brandon M. Walts and Nina Laidlaw at the Pennington Biomedical Research Center. I am also grateful for the contribution of the Donald B. Brown Chair on Obesity in the first few years of the project and of several units of the Pennington Biomedical Research Center in more recent times. Finally, I would like to thank the Editors of Obesity (Drs. Xavier Pi-Sunyer and, later, Barbara Corkey) and the Managing Editor, Deborah K. Moskowitz, for their encouragement and strong support for the publication of the annual update of the human obesity gene map over the last 10 years.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,233
Score d'incertitude au seuil0,945

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,232
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2007
Routes d'admission1
Résumé présentoui

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