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Enregistrement W2085126908 · doi:10.1093/humrep/17.11.3003-a

Reported relationship between increased CTG repeat lengths in myotonic dystrophy and azoospermia

2002· letter· en· W2085126908 sur OpenAlexaffabout
Nicola Dean, Steven J. Phillips, Pei‐Ying S. Chan, Seang Lin Tan, Aasen Ao

Notice bibliographique

RevueHuman Reproduction · 2002
Typeletter
Langueen
DomaineNeuroscience
ThématiqueGenetic Neurodegenerative Diseases
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésMyotonic dystrophyAzoospermiaMedicineGynecologyAudiologyBiologyGeneticsInternal medicinePregnancyInfertility

Résumé

récupéré en direct d'OpenAlex

Dear Sir, We read with interest the analysis by Pan and colleagues. in which they conclude that, in the myotonic dystrophy protein kinase (DMPK) variable CTG repeat region, alleles of 18 or more repeat units are observed only in patients with non-obstructive azoospermia and not in controls (Pan et al., 2002). We have previously performed an analysis on the size of the DMPK CTG repeat in 118 male partners of couples undergoing IVF. Forty-three couples had male factor infertility, 52 had female factors, three had both male and female indications and 20 had unexplained infertility. None of the male partners had idiopathic azoospermia. The range of CTG repeat units elucidated in these 236 DMPK alleles was from 5–32 with a mean of 11 and median of 10. There were 15 males (12.7%) and 16 alleles (6.8%) found to carry a DMPK CTG of >18 repeat units of which 14 men had one allele >18 and one man had both alleles >18 repeat units. The range in these 16 larger alleles was 20–32 with an average CTG length of 23 and a median of 21. Thirteen of these 15 men had semen parameters defined as normozoospermic. Twelve couples underwent an IVF cycle with an average fertilization rate of 67% per couple. Three couples underwent ICSI, one for oligoasthenoteratozoospermia, one for obstructive azoospermia due to a previous vasectomy and one because few oocytes were collected. Within the total group there were six clinical pregnancies (40%) of which five (42%) were in the IVF group and one (33%) was in the ICSI group. In the study published by Pan et al. (2002) the analysis was carried out on men with idiopathic azoospermia and in a control group of men with proven fertility. The men we studied were from infertile couples who presented for IVF and constitute a different population to that reported in the publication. However, seven of the 15 men who were found to have these larger normal DMPK CTG repeats had fathered previous pregnancies without the help of assisted conception. Different ethnic groups are known to have different distributions of DMPK CTG repeat sizes (Davies et al., 1992; Imbert et al ., 1993; Zerylnick et al., 1995). The prevalence of larger normal DMPK CTG repeats (19–37) is higher in the Caucasian population than generally found in the Chinese population. In the Taiwanese population this is stated to be 1.4% (Pan et al., 2001). Based on this low frequency, it is necessary to test more than the 47 control individuals used in the published study, to definitively exclude the presence of these larger CTG repeats. We would expect, and observed, a higher percentage of males carrying this larger allele in our Canadian, predominantly Caucasian, population. However, as none of these males had idiopathic azoospermia and almost half of them had proven fertility, the suggestion that there is a correlation between idiopathic azoospermia and larger normal DMPK CTG repeats does not seem applicable in our study group. It could be that, in general, azoospermic men have larger CTG repeat units at the DMPK locus but, unlike the suggestion made by Pan and colleagues (2002), these larger repeats are not exclusive to this group and are also found in normozoospermic men. Therefore, the statement that the genetic defects associated with azoospermia could be linked to triplet repeat instability is unlikely to be valid, at least at the DMPK locus.

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)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,312
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,113
Tête enseignante GPT0,300
Écart entre enseignants0,187 · 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.

Devis d'étudeObservationnel
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

Citations4
Publié2002
Routes d'admission2
Résumé présentoui

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