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Enregistrement W2593799233 · doi:10.1093/pch/6.5.269

Genetics and the Canadian Paediatric Surveillance Program

2001· article· en· W2593799233 sur OpenAlexaffabout
Anne Summers

Notice bibliographique

RevuePaediatrics & Child Health · 2001
Typearticle
Langueen
DomaineMedicine
ThématiqueCongenital Ear and Nasal Anomalies
Établissements canadiensNorth York General Hospital
Organismes subventionnairesnon disponible
Mots-clésGeneticsComputational biologyBiologyMedicineComputer science

Résumé

récupéré en direct d'OpenAlex

The mission of the Canadian Paediatric Surveillance Program (CPSP) is to “contribute to the improvement of the health of children and youth in Canada by national surveillance and research into uncommon paediatric diseases and conditions.” This mission strikes right to the heart of research into rare paediatric genetic disorders. Currently, there are two CPSP genetic projects: one project is underway, and the other one was recently approved and is expected to start in the summer of 2001. The objective of the first project is to determine the incidence of Smith-Lemli-Opitz syndrome (SLOS) in Canada (principal investigator, Dr M Nowaczyk), and the objective of the second project (principal investigator, Dr K Blake) is to identify cases of CHARGE association (coloboma, heart defects, atresia choanae, retardation of growth and development and/or central nervous system anomalies, genital anomalies and/or hypogonadism, and ear anomalies and/or hearing loss) (1). SLOS is an autosomal recessive disorder of cholesterol metabolism due to mutations in the DHCR7 gene. These mutations result in a deficiency of the 7-dehydrocholesterol reductase that causes abnormally low plasma cholesterol levels and elevated 7-dehydrocholesterol levels (2). People with SLOS have moderately short stature, with failure to thrive; moderate to severe mental retardation; microcephaly; facial dysmorphism, including anteverted nostrils, ptosis, low set ears and micrognathia; syndactyly of the second and third toes; and urogenital abnormalities that may present as sex reversal in males (3). Evidence suggests that early treatment with cholesterol (30 to 40 mg/kg/day in infants and 10 mg/kg/day in adults) may improve growth and some of the behavioural features associated with SLOS (4). The CPSP/SLOS project is expected to have a number of benefits. The main thrust of the project is to determine the incidence of SLOS, which is currently estimated to be between 1/10,000 and 1/100,000 population (4); knowing the incidence rate will allow estimates to be made of the need for and the development of appropriate intervention programs. In addition, there is evidence to suggest that this disorder may be detected in utero using the estriol component of maternal serum screening (5). In this type of prenatal screening, it is critical to know the incidence of the disorder in the population to set parameters such as cut-offs and false positive rates, and to estimate the detection rate of the screen. Anecdotally, the project appears to have had the effect of increasing physician awareness of the disorder, thus, allowing earlier intervention and/or prevention through genetic counselling and prenatal diagnosis. In the first year of the SLOS study, 14 cases were confirmed, and confirmation is pending for six more cases. CHARGE association is a nonrandom association of abnormalities that can occur alone or as a part of a syndrome. A person with CHARGE association may have some or all of these features. The incidence of this disorder is unknown (6), as is the etiology; however, a few people with CHARGE have been found to have deletions of chromosome region 22q11 (7,8). The investigators in the CPSP/CHARGE association project want to determine the incidence of this disorder, but are also interested in finding out whether early identification and treatment improve the general health and behaviour profile of patients with CHARGE. In addition, they are interested in answering a number of questions related to the natural history and etiology: What are the morbidity and mortality rates of CHARGE? Can a prognosis be based on the features of CHARGE? What effect does CHARGE have on development? What was paternal age at the time of conception? What is the effect of teratogen exposure? The two projects show how the CPSP can be helpful to researchers who are looking at rare paediatric genetic disorders and of benefit to patients. Since the implementation of the SLOS project, both geneticists and paediatricians across the country have been on the alert for cases. By bringing the disorder to the attention of so many practitioners, the awareness of the disorder has increased, potentially improving the care of patients. Questions about etiology, natural history and other queries can be asked at the time of ascertainment, but collaborative research relationships can also be formed with the physicians and families of patients. Because the surveillance program relies on voluntary participation and response, the CPSP cannot guarantee complete ascertainment, and, thus, incidence estimates may be very good but not perfect. Nevertheless, year-end study results confirm that the program has been very successful in capturing the high-end estimate of expected SLOS cases. As the Canadian College of Medical Geneticists representative to the CPSP, I have heard a little grumbling from my colleagues over filling out the monthly form and the occasional follow-up detailed questionnaire when cases are seen. I agree that this is a minor irritant, but I believe that the benefits far outweigh the inconvenience and strongly encourage active participation from all.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,021
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,997
Score d'incertitude au seuil0,640

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,021
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,009
Études des sciences et des technologies0,0040,001
Communication savante0,0020,001
Science ouverte0,0030,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0120,001

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 Opus0,012
Tête enseignante GPT0,265
Écart entre enseignants0,253 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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

Citations1
Publié2001
Routes d'admission2
Résumé présentnon

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