Screening Human Embryos for Polygenic Traits Has Limited Utility.

The increasing proportion of variance in human complex traits explained by polygenic scores, along with progress in preimplantation genetic diagnosis, suggests the possibility of screening embryos for traits such as height or cognitive ability. However, the expected outcomes of embryo screening are unclear, which undermines discussion of associated ethical concerns. Here, we use theory, simulations, and real data to evaluate the potential gain of embryo screening, defined as the difference in trait value between the top-scoring embryo and the average embryo. The gain increases very slowly with the number of embryos but more rapidly with the variance explained by the score. Given current technology, the average gain due to screening would be ≈2.5 cm for height and ≈2.5 IQ points for cognitive ability. These mean values are accompanied by wide prediction intervals, and indeed, in large nuclear families, the majority of children top-scoring for height are not the tallest.

Preimplantation genetic testing in couples with balanced chromosome rearrangement: a four-year period real world retrospective cohort study.

BACKGROUND: Couples with balanced chromosome rearrangement (BCR) are at high risk of recurrent miscarriages or birth defects due to chromosomally abnormal embryos. This study aimed to provide real-world evidence of the euploidy rate of blastocysts from couples with BCR using preimplantation genetic testing (PGT) and to guide pretesting genetic counselling. METHODS: A continuous four-year PGT data from couples with BCR were retrospectively analyzed. Biopsied trophectoderm cells were amplified using whole genome amplification, and next-generation sequencing was performed to detect the chromosomal numerical and segmental aberrations. Clinical data and molecular genetic testing results were analyzed and compared among the subgroups. RESULTS: A total of 1571 PGT cycles with 5942 blastocysts were performed chromosomal numerical and segmental aberrations detection during the four years. Of them, 1034 PGT cycles with 4129 blastocysts for BCR couples were included; 68.96% (713/1034) PGT cycles had transferable euploid embryos. The total euploidy rate of blastocysts in couples carrying the BCR was 35.29% (1457/4129). Couples with complex BCR had euploid blastocyst rates similar to those of couples with non-complex BCR (46.15% vs. 35.18%, P > 0.05). Chromosome inversion had the highest chance of obtaining a euploid blastocyst (57.27%), followed by Robertsonian translocation (RobT) (46.06%), and the lowest in reciprocal translocation (RecT) (30.11%) (P < 0.05). Couples with males carrying RobT had higher rates of euploid embryo both in each PGT cycles and total blastocysts than female RobT carriers did, despite the female age in male RobT is significant older than those with female RobT (P < 0.05). The proportions of non-carrier embryos were 52.78% (95/180) and 47.06% (40/85) in euploid blastocysts from couples with RecT and RobT, respectively (P > 0.05). RecT had the highest proportion of blastocysts with translocated chromosome-associated abnormalities (74.23%, 1527/2057), followed by RobT (54.60%, 273/500) and inversion (30.85%, 29/94) (P < 0.05). CONCLUSIONS: In couples carrying BCR, the total euploidy rate of blastocysts was 35.29%, with the highest in inversion, followed by RobT and RecT. Even in couples carrying complex BCR, the probability of having a transferable blastocyst was 46.15%. Among the euploid blastocysts, the non-carrier ratios in RecT and RobT were 52.78% and 47.06%, respectively. RecT had the highest proportion of blastocysts with translocated chromosome-associated abnormalities.

Germline genome editing of human IVF embryos should not be subject to overly stringent restrictions.

This paper critiques the restrictive criteria for germline genome editing recently proposed by Chin, Nguma, and Ahmad in this journal. While praising the authors for resisting fervent calls for an outright ban on clinical applications of the technology, this paper argues that their approach is nevertheless unduly restrictive, and may thus hinder technological progress. This response advocates for weighing potential benefits against risks without succumbing to excessive caution, proposing that ethical oversight combined with genetic scrutiny at the embryo stage post-editing can enable responsible use of the technology, ultimately reducing the burden of genetic diseases and enhancing human health, akin to how IVF transformed reproductive medicine despite strong initial opposition.

Implementing preconception expanded carrier screening in a universal health care system: A model-based cost-effectiveness analysis.

PURPOSE: The limited evidence available on the cost-effectiveness (CE) of expanded carrier screening (ECS) prevents its widespread use in most countries, including Italy. Herein, we aimed to estimate the CE of 3 ECS panels (ie, American College of Medical Genetics and Genomics [ACMG] Tier 1 screening, "Focused Screening," testing 15 severe, highly penetrant conditions, and ACMG Tier 3 screening) compared with no screening, the health care model currently adopted in Italy. METHODS: The reference population consisted of Italian couples seeking pregnancy with no increased personal/familial genetic risk. The CE model was developed from the perspective of the Italian universal health care system and was based on the following assumptions: 100% sensitivity of investigated screening strategies, 77% intervention rate of at-risk couples (ARCs), and no risk to conceive an affected child by risk-averse couples opting for medical interventions. RESULTS: The incremental CE ratios generated by comparing each genetic screening panel with no screening were: -14,875 ± 1,208 €/life years gained (LYG) for ACMG1S, -106,863 ± 2,379 €/LYG for Focused Screening, and -47,277 ± 1,430 €/LYG for ACMG3S. ACMG1S and Focused Screening were dominated by ACMG3S. The parameter uncertainty did not significantly affect the outcome of the analyses. CONCLUSION: From a universal health care system perspective, all the 3 ECS panels considered in the study would be more cost-effective than no screening.

The presence of partial compaction patterns is associated with lower rates of blastocyst formation, sub-optimal morphokinetic parameters and poorer morphologic grade.

BACKGROUND: Compaction is an important marker of embryonic genome activation and marks a critical step in the development to blastocyst. The objective of our study was to determine whether visualization of the embryonic compaction process through time-lapse imaging (TL) can assist in predicting the kinetics of embryo development as well as the likelihood for blastocyst formation, grade, or ploidy. METHODS: This study is a retrospective review of prospectively collected datafrom a single academic institution. Couples included were thosewho underwent preimplantation genetic testing for aneuploidy (PGT-A) following in vitro fertilization between Januaryand December 2020. Embryos were cultured in the Embrysocope. Embryo morphokinetic data was prospectively collected and analyzed.TL videos werelater reviewed in detail for compaction pattern. Embryo compaction patterns (CP) were categorized as follows: 1) full compaction (CP-F), 2) partial compaction with cell extrusion (P-ext), 3) partial compactionwith cell exclusion (P-exc) and 4) partial compactionwith both cell extrusion and exclusion (P-both). Assessment of embryo decompaction and re-compaction was evaluated. The association between CP, morphokinetic parameters,blastocyst formation, grade and ploidy were then analyzed. RESULTS: A total of 349 embryos were studied. Amongst embryos which progressed to morula (n = 281), the distribution of compaction patterns were: CP-F 45.6%, P-ext12.5%, P-exc29.5% and P-both 12.5%. Embryos exhibiting a CP-F were more likely to proceed to blastocyst compared with those that demonstrated partial compaction patterns (p = 0.006). When compared to CP-F, partial compaction patterns were significantly associated with poorer ICM and TE grades (P < 0.001). Of the 281 morula, 59.8% (n = 168) demonstrated at least one episode of decompaction and re-compaction. Of the 249 blastocysts formed, 200 were cryopreserved for future use after undergoing PGT-A evaluation. Of those, 42.5% were diagnosed as euploid, 39.0% as aneuploid, 9.0% as mosaic and 9.5% had no result. When compared to CP-F, partialCPs exhibited a significantly greater percentage of mosaic embryos (3.6% v. 15.6%, p = 0.032). Additionally, we found that a greater percentage of embryos demonstrating CP-F exhibited morphokinetics that fell into optimal ranges for embryo development when compared to those with partial compaction patterns. CONCLUSION: Time-lapse visualization of compaction patterns identified exclusions and/or extrusions as negative indicators of blastocyst formation and blastocyst grade. When compared to full compaction patterns, partial compaction patterns were associated with delayed embryonic development as well as lower rates of optimal kinetic development.

Correlation between controlled ovarian stimulation protocols and euploid blastocyst rate in pre-implantation genetic testing for aneuploidy cycles.

BACKGROUND: Several studies have explored which COS protocol yields a higher blastocyst euploidy rate, but findings have been inconsistent. The present study aimed to explore whether controlled ovarian stimulation (COS) protocols was associated with euploid blastocyst rate in pre-implantation genetic testing for aneuploidy (PGT-A) cycles. METHODS: The study was a retrospective study where data were obtained from three reproductive medicine centers. The study included PGT-A cycles with the GnRH-a, GnRH-ant, or PPOS protocols, and the data on patient demographics, protocols, and embryonic outcomes were collected for the PGT-A cycles performed between January 2019 and August 2022. RESULTS: This study included 457 PGT-A cycles from three reproductive medicine centers, with 152, 126, and 179 cycles performed using the PPOS, GnRH-a, and GnRH-ant protocols, respectively. The baseline characteristics of the three groups show no significant differences were observed in female BMI, infertility type, and infertility duration among the PPOS, GnRH-a, and GnRH-ant protocol groups. The study found no significant association between Gn dosage, Gn duration, and blastocyst euploidy. The mean number of euploidy blastocysts in PPOS protocol was significantly lower than that of GnRH-a protocol and GnRH-ant protocol (0.75 ± 0.92 vs. 1.79 ± 1.78 vs. 1.80 ± 1.67). The euploidy rate per biopsy blastocyst (48.4% vs. 49.1% vs. 33.1%), per oocyte retrieved (15.0% vs. 14.7% vs. 10.5%), and per MII oocyte (17.7% vs. 16.4% vs. 11.7%) were significantly higher in the cycles using the GnRH-ant and GnRH-a protocols than that of PPOS protocol group. Regression analyses indicated that, compared with the PPOS protocol, the GnRH-ant protocol was positively associated with the euploid blastocyst rate and the mean number of euploid blastocysts, whereas the GnRH-a protocol showed no such relationship. LIMITATIONS AND REASONS FOR CAUTION: The main limitation of this study was the retrospective design. Although this study also used other tests to account for confounding factors and reduce potential bias, multiple tests have its own weaknesses. CONCLUSIONS: GnRH-ant protocol was the most effective for PGT-A cycles. The findings emphasize the need for personalized treatment strategies, considering patient demographics, and optimizing COS protocols to enhance the chances of successful outcomes in ART procedures.

AMH independently predicts aneuploidy but not live birth per transfer in IVF PGT-A cycles.

BACKGROUND: While anti-Müllerian hormone (AMH) predicts quantitative IVF outcomes such as oocyte yield, it is not certain whether AMH predicts markers of oocyte quality such as aneuploidy. METHODS: Retrospective case-control analysis of the SART-CORS database, 2014-2016, to determine whether anti-Müllerian hormone (AMH) predicts aneuploidy and live birth in IVF cycles utilizing preimplantation genetic testing for aneuploidy (PGT-A). RESULTS: Of 51,273 cycles utilizing PGT-A for all embryos, 10,878 cycles were included in the final analysis; of these, 2,100 cycles resulted in canceled transfer due to lack of normal embryos and 8,778 cycles resulted in primary FET. AMH levels of cycles with ≥ 1 euploid embryo were greater than those of cycles with no normal embryos, stratifying by number of embryos biopsied (1-2, 3-4, 5-6, and ≥ 7), P < 0.017 for each stratum. Adjusting for age and number of embryos biopsied, AMH was a significant independent predictor of ≥ 1 euploid embryo for all age groups: < 35 yrs (aOR 1.074; 95%CI 1.005-1.163), 35-37 years (aOR 1.085; 95%CI 1.018-1.165) and ≥ 38 years (aOR 1.055; 95%CI 1.020-1.093). In comparative model analysis, AMH was superior to age as a predictor of  ≥ 1 euploid embryo for age groups < 35 years and 35-37 years, but not  ≥ 38 years. Across all cycles, age (aOR 0.945, 95% CI 0.935-0.956) and number of embryos (aOR 1.144, 95%CI 1.127-1.162) were associated with live birth per transfer, but AMH was not (aOR 0.995, 95%CI 0.983-1.008). In the subset of cycles resulting in ≥ 1 euploid embryo for transfer, neither age nor AMH were associated with live birth. CONCLUSIONS: Adjusting for age and number of embryos biopsied, AMH independently predicted likelihood of obtaining ≥ 1 euploid embryo for transfer in IVF PGT-A cycles. However, neither age nor AMH were predictive of live birth once a euploid embryo was identified by PGT-A for transfer. This analysis suggests a predictive role of AMH for oocyte quality (aneuploidy risk), but not live birth per transfer once a euploid embryo is identified following PGT-A.

Psychological and cognitive factors involved in decision-making process of haemophilia carriers in reproductive choices.

INTRODUCTION: Haemophilia carriers (HCs) face a multitude of psychological challenges, mainly linked to the possibility of having an affected child. Important reproductive decisions such as opting for pre-implantation genetic testing, or choosing prenatal diagnosis and then whether to continue or interrupt pregnancy in case of affected male fetus, have to be taken into consideration. Notwithstanding, the role of psychological characteristics on such decision-making process needs further investigation. AIM: The aim of this study was to investigate whether HCs' beliefs and emotions about haemophilia and cognitive factors such as decision-making style, risk perception, coping strategies in response to stress, and need for cognitive closure might modulate HCs' reproductive decisions. METHODS: Participants were interviewed about their beliefs and emotions on haemophilia and filled an on-line standardized questionnaire on cognitive variables. Sixty HCs participated in this study. RESULTS: Results show that HCs with high distress for haemophilia given by negative childhood experiences for one or more family member illness and by high concern for their children's health, and with psychological traits characterized by logical (versus emotional) reasoning, active coping style and high need for certainty, tend to choose diagnostic prenatal tests over routine pregnancy analysis. CONCLUSION: This study highlighted the influence of negative early-life experience with haemophilia and of several cognitive factors in HCs choice of prenatal test.

Evaluation of pre-implantation genetic testing for aneuploidy outcomes in patients without infertility undergoing in vitro fertilization compared to infertile controls.

PURPOSE: To evaluate pre-implantation genetic testing for aneuploidy (PGT-A) outcomes in patients without infertility compared to infertile patients. METHODS: We performed a retrospective cohort study of all patients without an infertility diagnosis ("fertile" patients) who utilized PGT-A at a large university-affiliated fertility center between 2016 and 2021. Fertile patients were 1-to-3 matched to infertile controls by age and number of oocytes retrieved. The primary outcome was blastocyst aneuploidy rate. Secondary outcomes included ovarian reserve markers, laboratory outcomes, and other PGT-A outcomes [rates of euploidy, mosaicism, and potentially transferrable (euploid + mosaic) embryos]. RESULTS: 283 fertile and 849 infertile patients were included. Median age, anti-Mullerian hormone, and day 2 estradiol levels were equivalent among groups; day 2 follicle-stimulating hormone levels were higher in fertile patients (6.9 vs. 6.5 IU/mL, p < 0.01). The aneuploidy rate was similar among fertile and infertile patients (33.7% vs. 31.8%, p = 0.11); the euploidy rate was higher (50.8% vs. 47.0%, p < 0.01), and the mosaicism rate was lower in fertile patients (13.3% vs. 19.2%, p < 0.01). The rate of transferrable embryos was similar among groups (64.0% vs. 66.3%, p = 0.07), as was the percentage of patients yielding ≥ 1 euploid embryo (90.1% vs. 87.3%, p = 0.25). When controlling for significant covariates, multiple linear regression showed that aneuploidy rate was equivalent in both cohorts. CONCLUSION: Aneuploidy rate was similar in fertile and infertile patients. Fertile patients had slightly higher euploidy and lower mosaicism than infertile patients. Still, compared to fertile patients, infertile patients had equivalent rates of transferrable embryos and were just as likely to yield ≥ 1 euploid embryo.

Utilization of standardized preimplantation genetic testing for aneuploidy (PGT-A) via artificial intelligence (AI) technology is correlated with improved pregnancy outcomes in single thawed euploid embryo transfer (STEET) cycles.

PURPOSE: To investigate the role of standardized preimplantation genetic testing for aneuploidy (PGT-A) using artificial intelligence (AI) in patients undergoing single thawed euploid embryo transfer (STEET) cycles. METHODS: Retrospective cohort study at a single, large university-based fertility center with patients undergoing in vitro fertilization (IVF) utilizing PGT-A from February 2015 to April 2020. Controls included embryos tested using subjective NGS. The first experimental group included embryos analyzed by NGS utilizing AI and machine learning (PGTaiSM Technology Platform, AI 1.0). The second group included embryos analyzed by AI 1.0 and SNP analysis (PGTai2.0, AI 2.0). Primary outcomes included rates of euploidy, aneuploidy and simple mosaicism. Secondary outcomes included rates of implantation (IR), clinical pregnancy (CPR), biochemical pregnancy (BPR), spontaneous abortion (SABR) and ongoing pregnancy and/or live birth (OP/LBR). RESULTS: A total of 24,908 embryos were analyzed, and classification rates using AI platforms were compared to subjective NGS. Overall, those tested via AI 1.0 showed a significantly increased euploidy rate (36.6% vs. 28.9%), decreased simple mosaicism rate (11.3% vs. 14.0%) and decreased aneuploidy rate (52.1% vs. 57.0%). Overall, those tested via AI 2.0 showed a significantly increased euploidy rate (35.0% vs. 28.9%) and decreased simple mosaicism rate (10.1% vs. 14.0%). Aneuploidy rate was insignificantly decreased when comparing AI 2.0 to NGS (54.8% vs. 57.0%). A total of 1,174 euploid embryos were transferred. The OP/LBR was significantly higher in the AI 2.0 group (70.3% vs. 61.7%). The BPR was significantly lower in the AI 2.0 group (4.6% vs. 11.8%). CONCLUSION: Standardized PGT-A via AI significantly increases euploidy classification rates and OP/LBR, and decreases BPR when compared to standard NGS.

Systematic review and meta-analysis: does pre-implantation genetic testing for aneuploidy at the blastocyst stage improve live birth rate?

PURPOSE: To establish if preimplantation genetic testing for aneuploidy (PGT-A) at the blastocyst stage improves the composite outcome of live birth rate and ongoing pregnancy rate per embryo transfer compared to conventional morphological assessment. METHODS: A systematic literature search was conducted using PubMed, EMBASE and Cochrane database from 1st March 2000 until 1st March 2022. Studies comparing reproductive outcomes following in vitro fertilisation using comprehensive chromosome screening (CCS) at the blastocyst stage with traditional morphological methods were evaluated. RESULTS: Of the 1307 citations identified, six randomised control trials (RCTs) and ten cohort studies fulfilled the inclusion criteria. The pooled data identified a benefit between PGT-A and control groups in the composite outcome of live birth rate and ongoing pregnancy per embryo transfer in both the RCT (RR 1.09, 95% CI 1.02-1.16) and cohort studies (RR 1.50, 95% CI 1.28-1.76). Euploid embryos identified by CCS were more likely to be successfully implanted amongst the RCT (RR 1.20, 95% CI 1.10-1.31) and cohort (RR 1.69, 95% CI 1.29-2.21) studies. The rate of miscarriage per clinical pregnancy is also significantly lower when CCS is implemented (RCT: RR 0.73, 95% CI 0.56-0.96 and cohort: RR 0.48, 95% CI 0.32-0.72). CONCLUSIONS: CCS-based PGT-A at the blastocyst biopsy stage increases the composite outcome of live births and ongoing pregnancies per embryo transfer and reduces the rate of miscarriage compared to morphological assessment alone. In view of the limited number of studies included and the variation in methodology between studies, future reviews and analyses are required to confirm these findings.

Non-invasive embryo selection strategy for clinical IVF to avoid wastage of potentially competent embryos.

RESEARCH QUESTION: Can a non-invasive embryo transfer strategy provide a reference for embryo selection to be established? DESIGN: Chromosome sequencing of 345 paired blastocyst culture medium and whole blastocyst samples was carried out and a non-invasive embryo grading system was developed based on the random forest machine learning algorithm to predict blastocyst ploidy. The system was validated in 266 patients, and a blinded prospective observational study was conducted to investigate clinical outcomes between machine learning-guided and traditional non-invasive preimplantation genetic testing for aneuploidy (niPGT-A) analyses. Embryos were graded as A, B or C according to their euploidy probability levels predicted by non-invasive chromosomal screening (NICS). RESULTS: Higher live birth rate was observed in A- versus C-grade embryos (50.4% versus 27.1%, P = 0.006) and B- versus C-grade embryos (45.3% versus 27.1%, P = 0.022) and lower miscarriage rate in A- versus C-grade embryos (15.9% versus 33.3%, P = 0.026) and B- versus C-grade embryos (14.3% versus 33.3%, P = 0.021). The embryo utilization rate was significantly higher through the machine learning strategy than the conventional dichotomic judgment of euploidy or aneuploidy in the niPGT-A analysis (78.8% versus 57.9%, P < 0.001). Better outcomes were observed in A- and B-grade embryos versus C-grade embryos and higher embryo utilization rates through the machine learning strategy compared with traditional niPGT-A analysis. CONCLUSION: A machine learning guided embryo grading system can be used to optimize embryo selection and avoid wastage of potential embryos.

Nomogram based on clinical and laboratory characteristics of euploid embryos using the data in PGT-A: a euploid-prediction model.

BACKGROUND: The evaluation of embryo morphology may be inaccurate. A euploid prediction model is needed to provide the best and individualized counseling about embryo selection based on patients and embryo characteristics. METHODS: Our objective was to develop a euploid-prediction model for evaluating blastocyst embryos, based on data from a large cohort of patients undergoing pre-implantation genetic testing for aneuploidy (PGT-A). This retrospective, single-center cohort study included data from 1610 blastocysts which were performed PGT-A with known genetic outcomes. The study population was divided into the training and validation cohorts in a 3:1 ratio. The performance of the euploid-prediction model was quantified using the area under the receiver operating characteristic (ROC) curve (AUC). In addition, a nomogram was drawn to provide quantitative and convenient tools in predicting euploid. RESULTS: We developed a reliable euploid-prediction model and can directly assess the probability of euploid with the AUC (95%CI) of 0.859 (0.834,0.872) in the training cohort, and 0.852 (0.831,0.879) in the validation cohort, respectively. The euploid-prediction model showed sensitivities of 0.903 and specificities of 0.578. CONCLUSIONS: The euploid-prediction model is a reliable prediction model and can directly assess the probability of euploid.

The successful strategy of comprehensive pre-implantation genetic testing for beta-thalassaemia-haemoglobin E disease and chromosome balance using karyomapping.

Thalassaemia is the commonest monogenic disease and causes a health and economic burden worldwide. Karyomapping can be used for pre-implantation genetic testing of monogenic disorders (PGT-M). This study applied karyomapping in two PGT-M cycles and made a comparison to polymerase chain reaction (PCR). Two families at risk of having beta-thalassaemia-haemoglobin E disease offspring decided to join the project and informed consent was obtained. Karyomapping results of family A (beta-thalassaemia (c.41_42delTCTT)-Hb E (c.26G>A) disease) revealed four normal, two beta-thalassaemia traits, one Hb E trait and six affected. Three embryos exhibited unbalanced chromosomes. One normal male embryo was transferred. Karyomapping results of family B (beta-thalassaemia (c.17A>T)-Hb E (c.26G>A) disease) revealed six Hb E traits and three affected. Three embryos were chromosomally unbalanced. One Hb E trait embryo was transferred. Two successful karyomapping PGT-M were performed, including deletion and single-base mutations. Karyomapping provides accuracy as regards the protocol and copy number variation which is common in pre-implantation embryos. Impact StatementWhat is already known on this subject? Thalassaemia syndrome is the commonest monogenic disease and causes a health and economic burden worldwide. Modern haplotyping using SNP array (aSNP) and karyomapping algorithms can be used for pre-implantation genetic testing of monogenic disorders (PGT-M). However, few clinical karyomapping PGT-M cycles have been done and validated so far.What do the results of this study add? Two successful clinical PGT-M cycles for beta-thalassaemia (c.41_42delTCTT and c.17A>T mutations)-haemoglobin E (c.26G>A) disease were performed using karyomapping. The outcome was two healthy babies. Multiplex fluorescent polymerase chain reaction (PCR) with mini-sequencing was also used for confirmation mutation analysis results. PCR confirmed haplotyping results in all embryos. Six embryos from both PGT-M cycles exhibited unbalanced chromosomes evidenced by aSNP.What are the implications of these findings for clinical practice and/or further research? Karyomapping provides accurate information quickly and the outcomes of the study will save time as regards protocol development, provide a usable universal PGT-M protocol and add additional copy number variation (CNV) information, chromosome number variation being a common issue in pre-implantation embryos.

Pre-implantation genetic testing for Marfan syndrome using mini-sequencing.

Marfan syndrome (MFS1) is an autosomal dominant condition causing aortopathy including fatal aortic dissection. This study aimed to perform clinical PGT-M in a family with a history of MFS1 for two generations. A family with two members affected by MFS1 approached the hospital for PGT-M. The couple decided to join the project following extensive counselling and informed consent was obtained. The mutation contributory to MFS1 was identified using whole-exome sequencing (WES). A novel PGT-M protocol using multiplex fluorescent PCR and mini-sequencing was developed and tested. Ten blastocysts were subjected to PGT-M in two clinical PGT cycles. Mini-sequencing revealed four normal and six affected embryos. Microsatellite-based linkage analysis confirmed mutation analysis results in all samples. The embryos diagnosed as normal (non-MFS1) were chosen for transfer. A pregnancy was obtained in the third embryo transfer. Invasive prenatal diagnosis confirmed the normal genotype of the baby. This study demonstrated comprehensive management using the application of clinical-based diagnosis, WES for mutation identification within the MFS1 gene, mini-sequencing for embryo selection and microsatellite-based linkage analysis for backup of PGT-M results and contamination detection to assist couples in having a healthy child when there was a family history of Marfan syndrome.Impact StatementWhat is already known on this subject? Marfan syndrome (MFS1, OMIM#154700) is an autosomal dominant condition causing aortopathy including fatal aortic dissection. Pre-implantation genetic testing (PGT) is an alternative to traditional invasive prenatal diagnosis (PND) giving the couples the chance of starting pregnancy with the confidence that the baby will be unaffected. Most of the previous PGT reports employed microsatellite-based linkage analysis. A few PGT studies used sequencing, mini-sequencing and mutation analysis; however, the details of the techniques were not described.What do the results of this study add? Single-cell PCR protocol using multiplex fluorescent PCR and mini-sequencing was developed and validated. Two clinical PGTs cycles for Marfan syndrome were performed. A healthy baby was resulted. The details of multiplex fluorescent PCR and mini-sequencing protocols are described in this study so that the procedures can be reproduced.What are the implications of these findings for clinical practice and/or further research? Embryo selection can help the family suffering from Marfan syndrome for two generations to start a pregnancy with confidence that their child will be unaffected. This study also shows the use of a mini-sequencing protocol for PGT, which can be a universal protocol for other mutations by changing the PCR primers and mini-sequencing primers.

Morphology-based selection from available euploid blastocysts induces male-skewed sex proportion in the offspring.

PURPOSE: To determine whether blastocyst morphology has an impact on sex proportion at pre-implantation and birth in PGT-A and non-PGT-A cycles. METHODS: A total of 1254 biopsied blastocysts from 466 PGT-A cycles were analyzed for sex proportion, day of biopsy, degree of expansion, inner cell mass (ICM), and trophectoderm (TE) morphology. From these, 197 frozen single embryo transfers (SET) were assessed for clinical outcomes and sex proportion of ongoing pregnancies and deliveries. In addition, we evaluated the day of vitrification/embryo transfer, degree of expansion, and TE morphology in a group of 229 births (217 cycles) from frozen or fresh transfers of non-biopsied blastocysts. RESULTS: Sex proportion was impacted by day of biopsy and TE morphology, but not by ICM morphology, in PGT-A cycles. Therefore, biopsy on day 5 and TE "A" shifted the sex proportion towards males. Interestingly, we noted that our morphology-based embryo selection for SET of euploid blastocysts has favored the choice for XY embryos, generating a 54.3% XY proportion at transfer and 56.1% XY proportion at ongoing pregnancy/delivery. Our models indicate a weaker association between blastocyst morphology parameters and sex proportion of babies in non-PGT-A cycles. CONCLUSION: Blastocyst features associated with a skewed sex proportion towards XY embryos, such as biopsy on day 5 and top quality TE, are also parameters used for selecting euploid embryos for SET. Therefore, our data suggest that morphology-based embryo selection represents a strong factor responsible for a skewed male sex proportion at birth in PGT-A cycles.

Pre-implantation genetic testing for aneuploidy: motivations, concerns, and perceptions in a UK population.

PURPOSE: Pre-implantation genetic testing for aneuploidies (PGT-A) is a technique used as part of in vitro fertilisation to improve outcomes. Despite the upward trend in women utilising PGT-A, data on women's motivations and concerns toward using the technology, and perceptions having undergone the process, remain scarce. METHODS: This cross-sectional survey, based at a fertility clinic in the UK, utilised an electronic questionnaire to assess the motivations of women who undergo PGT-A and their perceptions and attitudes toward PGT-A after using it. RESULTS: One hundred sixty-one women responded. The most significant motivating factors to undergo PGT-A were to improve the probability of having a baby per cycle (9.0 ± 2.1) and enhance the chance of implantation (8.8 ± 2.5). The least important motivations were reducing the number of embryos transferred per cycle (2.7 ± 3.3) and saving money by reducing the number of procedures required (4.6 ± 3.4). The most significant concerning factors identified included not having embryos to transfer (5.7 ± 3.4) and the potential for embryo damage (5.2 ± 3.3). The least concerning factors included religious (0.6 ± 1.7) or moral (1 ± 2.2) concerns. The majority of women were satisfied/very satisfied following treatment (n = 109; 68%). The proportion of those who were satisfied/very satisfied increased to 94.2% (n = 81) following a successful outcome, and reduced to 43.5% (n = 27) in those who had an unsuccessful outcome or had not undergone embryo transfer (p < 0.001). CONCLUSION: This study highlights that perceptions amongst women who use PGT-A are mostly positive. We also demonstrate a significant association between satisfaction and reproductive outcomes, with those who achieve a live birth reporting more positive perceptions toward PGT-A.

Trophectoderm biopsy protocols may impact the rate of mosaic blastocysts in cycles with pre-implantation genetic testing for aneuploidy.

PURPOSE: This study aimed to analyze the impact of different biopsy protocols on the rate of mosaic blastocysts. METHODS: This is a retrospective cohort study which included 115 cycles with pre-implantation genetic testing for aneuploidy (PGT-A). Two groups were allocated based on the biopsy protocols: method 1 group, the zona pellucida (ZP) was drilled on day 3 embryos followed by trophectoderm (TE) biopsy; and method 2 group, the ZP was opened on day 5 or 6 blastocysts followed by TE biopsy. All biopsy samples were assessed using next-generation sequencing (NGS) at a single reference laboratory. The euploid, aneuploid, and mosaic blastocyst rates and clinical outcomes were compared. RESULTS: The mosaicism rate in the method 1 group was 19.58%, significantly higher than the method 2 group (8.12%; P < 0.05). No statistically significant difference was observed in euploid, aneuploid blastocyst rates, and clinical pregnancy rates between the two groups. Logistic regression analysis indicated that the biopsy protocols were independently associated with the mosaicism rates among all the variables. CONCLUSIONS: The present study showed that different biopsy protocols may have an impact on the mosaic blastocyst rate. ZP opening on day 3 combined with TE biopsy might increase the incidence of mosaic blastocysts.

Towards the selection of embryos with the greatest implantation potential.

Choosing the most suitable embryo remains challenging as the standard approach to select top-quality embryos for transfer rely on static morphological assessment. It is completed after fertilisation, on days 3 and 5 post oocyte retrieval and evaluates the size and number of blastomeres, presence of nucleation and percentage of fragmentation for cleavage stage embryos. Because of the limited number of observations during the morphological assessment, morphokinetic development of embryos has been implemented. It shows a broader image of embryo behaviour with precise evaluation of the timing of events. Yet, studies are inconsistent and debatable in predicting the parameters to identify chromosomal abnormalities. Pre-implantation genetic testing detects dysmorphic embryos and correlate their developmental potential to the assessed morphology. However, the clinical utility of PGT-aneuploidy remains controversial. The future relies on newly described scoring systems such as artificial intelligence and non-invasive PGT, yet their application and actual success rate still lacks supportive evidence.

Zygotic splitting following embryo biopsy: a cohort study of 207 697 single-embryo transfers following IVF treatment.

OBJECTIVE: To evaluate the risk of monozygotic splitting with embryo biopsy during in vitro fertilisation (IVF). DESIGN: A cohort study. SETTING: Anonymised assisted reproductive technology national data from the Human Fertilisation and Embryology Authority, UK. POPULATION: Women undergoing single-embryo transfer (SET) following either pre-implantation genetic testing (PGT) involving embryo biopsy or IVF without PGT. METHODS: Data on women undergoing SET either following PGT and non-PGT IVF treatment in 2000-2016 were analysed to compare the risk of zygotic splitting and monozygotic twining. Logistic regression analysis was performed adjusting for potential confounders. MAIN OUTCOMES: Monozygotic spitting, monozygotic twin birth. RESULTS: Data comprising a total of 207 697 SET cycles (4544 following PGT and 203 153 following non-PGT IVF) were analysed. The live birth rate per embryo transfer was 31.9% (95% confidence interval [CI] 30.5-33.2%) following PGT and 26.9% (95% CI 26.7-27.1%) following non-PGT IVF. The incidence of zygotic splitting following PGT was 2.4% (95% CI 1.7-3.3%) versus 1.5% (95% CI 1.4-1.6%) following non-PGT IVF. There was a significantly higher risk of zygotic splitting with PGT versus non-PGT IVF cycles (odds ratio [OR] 1.64, 95% CI 1.19-2.27). The higher risk of zygotic splitting with PGT cycles remained significant after adjusting for potential confounders (adjusted OR 1.51, 95% CI 1.06-2.15). CONCLUSIONS: The present study demonstrated an increased risk of monozygotic splitting with embryo biopsy. Given the current sparse literature, it is important to accumulate further evidence to validate the findings. TWEETABLE ABSTRACT: A likely increased risk of monozygotic splitting following embryo biopsy.