O-088 Whole transcriptome and genome sequencing of standard embryo biopsies can potentially reduce failed euploid transfers
Notice bibliographique
Résumé
Abstract Study question Can whole transcriptome sequencing (WTS) of embryos and whole genome sequencing (WGS) of parents and embryos identify variants associated with embryo viability? Summary answer WGS/WTS can identify variants from conventional biopsies that are potentially associated with embryo viability, likely reducing failed euploid transfers. What is known already Since 45% of euploid transfers fail, and up to 95% of patients will achieve a pregnancy and live birth if enough euploid embryos are transferred, euploid failures are likely embryonic in origin. Further, they are likely due to the genetics of the embryo (beyond ploidy) since WGS studies of pregnancy loss, stillbirth and perinatal death demonstrate that 50% of euploid cases are due to single nucleotide variants (SNVs). WGS/WTS of parents and embryos has the potential to reduce failed euploid transfers by identifying SNVs that may be associated with reduced embryo viability and deprioritizing those embryos. Study design, size, duration The study was conducted on donated embryos, regardless of ploidy status. Variants were evaluated independently of ploidy, as they are expected to segregate independently. Parents who did not use donor gametes and had completed their fertility treatment were offered participation in the study. Parents were consented to the study by their treating physician and blood samples were provided for WGS. The study included 30 donated embryos from seven families (2-7 embryos/family). Participants/materials, setting, methods WGS/WTS (50x depth) was performed on at least two samples per donated embryo, including the remainder. WGS (30x depth) was performed for each parental blood sample. Genes were considered essential to embryo viability based on product of conception (PoC) and CRISPR-Cas9 knockout studies. Variants were annotated based on in vivo, in vitro, and computational evidence available in human data resources and published scientific work. Main results and the role of chance Twelve of 30 embryos (40%) were found to have predicted pathogenic, likely pathogenic or pathogenic SNVs associated with reduced embryo viability. Variants segregated independent of chromosome abnormalities, as expected. Among the 12 embryos with variants, 7 embryos had compound heterozygous SNVs in genes associated with autosomal recessive inheritance, 6 male embryos had hemizygous SNVs in genes associated with X-linked recessive inheritance (variants were confirmed to be maternally inherited) and 2 embryos had de-novo SNVs, believed to be de-novo because they were not inherited from either parent and not observed in any population databases (note the sum is greater than 12, as some embryos had multiple variants detected). Since sequencing was performed on multiple samples, the likelihood of a false positive variant call is less than 1%. Given the rate of detectable SNVs in this study is consistent with the 50% reported in the literature, we estimate that prioritizing euploid embryos without SNVs associated with reduced embryo viability could reduce failed euploid transfers by up to 50%. Further reductions could likely be achieved by including additional genetic variation, such as structural variants and copy number variants. Limitations, reasons for caution The reduction in failed euploid transfers can only be estimated at this time. Observational studies of pregnancy and live birth rates, based on transfers using WGS results are currently under way. Wider implications of the findings Reducing failed euploid transfers by prioritizing euploid embryos without SNVs that may be associated with reduced embryo viability could further improve live birth rates per embryo transfer and thereby save aspiring parents time, expense and anxiety in their IVF journeys. Trial registration number No
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 | 0,000 | 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 ».