P-551 Application of simultaneous PGT-M/PGT-A using whole genome sequencing and haplotyping for monogenetic disorders, multiple variants, low penetrance, and de novo disorders
Notice bibliographique
Résumé
Abstract Study question Is the concurrent use of high-resolution PGT-A and genome-wide haplotyping with disease-specific assays for PGT-M effective in an unselected patient population at-risk for monogenetic disorders? Summary answer PGT-A/PGT-M is an effective treatment for couples/patients burdened with genetic diseases, that provides optimal family planning, prevents vertical transmission, and reduces personal and societal encumbrance What is known already Societal awareness of genetic testing expanded the use of carrier screening, diagnostic genetic tests, and higher in vitro fertilization (IVF) utilization has increased demand for preimplantation genetic testing for monogenetic disorders (PGT-M), as an alternative to invasive prenatal tests. The scope of PGT-M testing expands beyond common severe childhood disorders, to include serious and mild late onset disorders, cancer predisposition, variants of unknown significance, de novo mutations, and variants in multiple genes. This highlights novel ethical dilemmas, necessitating adjustment of generic genome wide approaches to complement, or eventually replace, targeted disease-specific PGT-M assays. Study design, size, duration This is a retrospective study of 359 couples at-risk for monogenetic disorders referred to the CReATe Fertility Centre, Toronto, Canada. Our objective was to evaluate the efficiency of concurrent use of genome wide haplotyping and disease specific assays for PGT-M and high resolution PGT-A in an unselected patient population at risk for monogenetic disorders, multiple and de novo variants, low penetrance and variants of unknown significance. Participants/materials, setting, methods All patients received comprehensive genetic counselling. For each couple/patient, DNA from gamete providers, related family member/s and whole-genome amplified (WGA)DNA from a single trophectoderm(TE) biopsy were analyzed. Whole-genome SNP-array (Karyomapping, Illumina, CA) and STR-analysis were used to obtain parental haplotypes and Sanger-sequencing was used for direct variant analysis. PGT-A was performed using Illumina platform(NextSeq 550). NxClinical (BioDiscovery) and BlueFuse Multi(Illumina) software were used for data analysis. Main results and the role of chance 1826 embryos, from 235 IVF cycles were analyzed for 88 unique genes (14 cancer predisposing, 42 autosomal recessive and 32 dominant genes) and a total of 282 unique variants. The most frequent genes tested were BRCA1/2 -21% of all cases, followed by HBB-8.7%, CFTR-8.7% and CYP21A2-8.7%. PGT-M for 11 cases was done for a de novo variant detected in a sibling and in 2 cases for a parental mosaic variant. Multiple genes and VUS were analyzed in 12 and 6 cases, respectively. PGT-A analysis showed 31.6% aneuploidy, 9.6% mosaicism and 58.8% euploidy. Genome wide haplotyping was used for euploid and mosaic embryos with an average case call rate of 95%, and average case Allele Drop Out (ADO) rate of 2.7%. Recombination events in 3% of cases prevented assignment of haplotype. Direct mutation testing was obtained for all samples and was 100% concordant with the predicted haplotypes. In cases with no predicted haplotype, direct testing established the PGT-M diagnosis. The distribution for both recessive and dominant disorders was in Mendelian order. To date 66 live births confirmed the results from PGT-M diagnosis. Limitations, reasons for caution Ethical considerations and extensive genetic counselling are prerequisites for PGT-A/M testing implementation. Simultaneous screening for embryo aneuploidy and monogenetic disorders optimizes patient treatment and family planning, but may not be available in all jurisdictions. Although the data was collected prospectively, retrospective design is a limitation. Wider implications of the findings Simultaneous PGT-A and PGT-M with direct variant testing provides optimal embryo prioritization for transfer and significantly reduces time to a healthy pregnancy in couples at risk for inherited disorders. Karyomapping is effective for generic haplotyping, with a low risk of undetected recombination events in the genomic region of interest. Trial registration number not applicable
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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 ».