Cell-based non-invasive prenatal testing for monogenic disorders: confirmation of unaffected fetuses following preimplantation genetic testing.

PURPOSE: Proof of concept of the use of cell-based non-invasive prenatal testing (cbNIPT) as an alternative to chorionic villus sampling (CVS) following preimplantation genetic testing for monogenic disorders (PGT-M). METHOD: PGT-M was performed by combined testing of short tandem repeat (STR) markers and direct mutation detection, followed by transfer of an unaffected embryo. Patients who opted for follow-up of PGT-M by CVS had blood sampled, from which potential fetal extravillous throphoblast cells were isolated. The cell origin and mutational status were determined by combined testing of STR markers and direct mutation detection using the same setup as during PGT. The cbNIPT results with respect to the mutational status were compared to those of genetic testing of the CVS. RESULTS: Eight patients had blood collected between gestational weeks 10 and 13, from which 33 potential fetal cell samples were isolated. Twenty-seven out of 33 isolated cell samples were successfully tested (82%), of which 24 were of fetal origin (89%). This corresponds to a median of 2.5 successfully tested fetal cell samples per case (range 1-6). All fetal cell samples had a genetic profile identical to that of the transferred embryo confirming a pregnancy with an unaffected fetus, in accordance with the CVS results. CONCLUSION: These findings show that although measures are needed to enhance the test success rate and the number of cells identified, cbNIPT is a promising alternative to CVS. TRIAL REGISTRATION NUMBER: N-20180001.

A systematic review on concurrent aneuploidy screening and preimplantation genetic testing for hereditary disorders: What is the prevalence of aneuploidy and is there a clinical effect from aneuploidy screening?

INTRODUCTION: In assisted reproductive technology, aneuploidy is considered a primary cause of failed embryo implantation. This has led to the implementation of preimplantation genetic testing for aneuploidy in some clinics. The prevalence of aneuploidy and the use of aneuploidy screening during preimplantation genetic testing for inherited disorders has not previously been reviewed. Here, we systematically review the literature to investigate the prevalence of aneuploidy in blastocysts derived from patients carrying or affected by an inherited disorder, and whether screening for aneuploidy improves clinical outcomes. MATERIAL AND METHODS: PubMed and Embase were searched for articles describing preimplantation genetic testing for monogenic disorders and/or structural rearrangements in combination with preimplantation genetic testing for aneuploidy. Original articles reporting aneuploidy rates at the blastocyst stage and/or clinical outcomes (positive human chorionic gonadotropin, gestational sacs/implantation rate, fetal heartbeat/clinical pregnancy, ongoing pregnancy, miscarriage, or live birth/delivery rate on a per transfer basis) were included. Case studies were excluded. RESULTS: Of the 26 identified studies, none were randomized controlled trials, three were historical cohort studies with a reference group not receiving aneuploidy screening, and the remaining were case series. In weighted analysis, 34.1% of 7749 blastocysts were aneuploid. Screening for aneuploidy reduced the proportion of embryos suitable for transfer, thereby increasing the risk of experiencing a cycle without transferable embryos. In pooled analysis the percentage of embryos suitable for transfer was reduced from 57.5% to 37.2% following screening for aneuploidy. Among historical cohort studies, one reported significantly improved pregnancy and birth rates but did not control for confounding, one did not report any statistically significant difference between groups, and one properly designed study concluded that preimplantation genetic testing for aneuploidy enhanced the chance of achieving a pregnancy while simultaneously reducing the chance of miscarriage following single embryo transfer. CONCLUSIONS: On average, aneuploidy is detected in 34% of embryos when performing a single blastocyst biopsy derived from patients carrying or affected by an inherited disorder. Accordingly, when screening for aneuploidy, the risk of experiencing a cycle with no transferable embryos increases. Current available data on the clinical effect of preimplantation genetic testing for aneuploidy performed concurrently with preimplantation genetic testing for inherited disorders are sparse, rendering the clinical effect from preimplantation genetic testing for aneuploidy difficult to access.

[Preimplantation genetic diagnosis].

In Denmark, preimplantation genetic diagnosis (PGD) is offered within the public healthcare to families with a known risk of an inherited disease in a child - as an alternative to prenatal diagnosis. It is a well-established technique with rather well-described perinatal- and neonatal outcomes, being comparable to what is seen following in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). The most common strategy is now to perform trophectoderm biopsy and then vitrify, while the diagnostic test is performed. Until 2013, 134 children have been born following PGD. Today, the clinical pregnancy rates are comparable to those following IVF/ICSI.

Effect of Female Body Mass Index on Oocyte Quantity in Fertility Treatments (IVF): Treatment Cycle Number Is a Possible Effect Modifier. A Register-Based Cohort Study.

INTRODUCTION: Overweight and obese women may require higher doses of gonadotrophin when undergoing In Vitro Fertilization Treatment (IVF). Consequently, one may expect a sub-optimal oocyte retrieval in the first treatment cycle and thus a larger compensation in gonadotrophin-dose in the following treatment-cycles and a more favorable outcome. The main objective was to explore if treatment cycle number modifies the outcome when investigating the effect of female Body Mass Index (BMI) on oocyte quantity in IVF. MATERIAL AND METHODS: A historical cohort study was conducted on 5,342 treatment-cycles during the period 1999-2009. Exclusion criteria were missing information on BMI or treatment type. Further, women were excluded if they had ovulated before oocyte retrieval. According to baseline BMI, women were divided into four categories following the World Health Organization standards. Multiple linear regressions analyses were performed accounting for the non-independence of ≥2 cycles in a woman. RESULTS: Stratification according to cycle number revealed a more suboptimal outcome in the first treatment- cycles than in the following cycles, suggesting a possible interaction or effect modification from cycle number or a factor related to cycle number. The median dose of total follicular stimulating hormone given to the four BMI groups could not straight forwardly explain the less optimal oocyte outcome observed in first treatment cycles. No statistically significant differences were observed in oocyte yield for underweight, overweight and obesity compared to normal weight women when analyzing all treatment-cycles. Overweight women had significantly fewer mature (MII) oocytes (p = 0.009) than normal weight women, whereas no differences was observed for underweight and obese women. CONCLUSION: Our study suggests a possible interaction or effect modification related to treatment cycle number. Investigating the effects of BMI on IVF-results in first treatment-cycles alone should be carried out cautiously.

Preimplantation genetic diagnosis: a national multicenter obstetric and neonatal follow-up study.

OBJECTIVE: To study whether women conceiving after preimplantation genetic diagnosis (PGD) and their children have greater risks of adverse pregnancy and birth outcomes compared with children conceived spontaneously or after IVF with or without intracytoplasmic sperm injection (ICSI). DESIGN: Historical cohort study. SETTING: Not applicable. PATIENT(S): All deliveries following PGD treatment for single gene and sex-linked disorders or structural chromosomal aberrations (n = 126 deliveries/149 children), IVF/ICSI treatment (n = 30,418 deliveries/36,115 children), and spontaneous conception (n = 896,448 deliveries/909,624 children). INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Adverse obstetric and neonatal outcomes, such as pre-eclampsia, preterm primary rupture of membranes, placenta previa, abruption of placenta, preterm birth, low birth weight, malformations, and neonatal admission. RESULT(S): Compared with spontaneously conceived pregnancies, PGD pregnancies were at significantly increased risk of placenta previa (adjusted odds ratio [ORa] 9.1; 95% confidence interval [95% CI] 3.4, 24.9), cesarean section (ORa 2.0; 95% CI 1.3, 2.9), preterm birth (ORa 1.6; 95% CI 1.0, 2.7), shorter gestation (mean difference -3.4 days; 95% CI -5.7, -1.1 days), and longer neonatal admission (mean difference 21 days; 95% CI 15, 28 days). The risks were comparable to that of pregnancies following IVF/ICSI. In subanalyses, adverse outcomes were only present in children conceived by PGD owing to parental monogenetic disorder and comparable to those of children born to parents with monogenic disorders conceiving without PGD, except for a higher risk of placenta previa. CONCLUSION(S): In this cohort study, the risk of adverse obstetric and neonatal outcomes was mainly related to the underlying parental condition rather than the PGD procedure.

Evaluation of PCR-based preimplantation genetic diagnosis applied to monogenic diseases: a collaborative ESHRE PGD consortium study.

Preimplantation genetic diagnosis (PGD) for monogenic disorders currently involves polymerase chain reaction (PCR)-based methods, which must be robust, sensitive and highly accurate, precluding misdiagnosis. Twelve adverse misdiagnoses reported to the ESHRE PGD-Consortium are likely an underestimate. This retrospective study, involving six PGD centres, assessed the validity of PCR-based PGD through reanalysis of untransferred embryos from monogenic-PGD cycles. Data were collected on the genotype concordance at PGD and follow-up from 940 untransferred embryos, including details on the parameters of PGD cycles: category of monogenic disease, embryo morphology, embryo biopsy and genotype assay strategy. To determine the validity of PCR-based PGD, the sensitivity (Se), specificity (Sp) and diagnostic accuracy were calculated. Stratified analyses were also conducted to assess the influence of the parameters above on the validity of PCR-based PGD. The analysis of overall data showed that 93.7% of embryos had been correctly classified at the time of PGD, with Se of 99.2% and Sp of 80.9%. The stratified analyses found that diagnostic accuracy is statistically significantly higher when PGD is performed on two cells versus one cell (P=0.001). Se was significantly higher when multiplex protocols versus singleplex protocols were applied (P=0.005), as well as for PGD applied on cells from good compared with poor morphology embryos (P=0.032). Morphology, however, did not affect diagnostic accuracy. Multiplex PCR-based methods on one cell, are as robust as those on two cells regarding false negative rate, which is the most important criteria for clinical PGD applications. Overall, this study demonstrates the validity, robustness and high diagnostic value of PCR-based PGD.

Preimplantation genetic diagnosis for HLA typing in a case of X-linked chronic granulomatous disease.

Bone marrow transplantation may be life saving in cases of hematopoietic disease, severe congenital immunodeficiency or malignancy. An HLA-matching sibling often gives the best success, but this may not be an option, nor may an HLA-matching unrelated donor be found. Preimplantation genetic diagnosis with HLA-matching embryos may then be a solution. We report the first Danish child born after such diagnosis with identification of healthy embryos and HLA matching for a sibling with chronic granulomatous disease. Our patient had 13 in vitro fertilization (IVF) cycles; 286 oocytes were collected and 74 embryos analysed. Sixteen of these (22%) were either healthy or carriers. Five embryos were transferred in four stimulated fresh IVF cycles. Four embryos were frozen, and two were later transferred. Two successive clinical pregnancies ensued. In the first, prenatal diagnosis revealed trisomy 21, and the fetus was aborted. In the second pregnancy, chorionic villus sampling revealed a normal karyotype, the diagnosis was confirmed, and the pregnancy was normal. At delivery, 82 mL of cord blood was collected for later transplantation to the diseased sibling.

Mosaics and moles.

Hydatidiform mole (HM) is an abnormal human pregnancy, where the placenta presents with vesicular swelling of the chorionic villi. A fetus is either not present, or malformed and not viable. Most moles are diploid androgenetic as if one spermatozoon fertilized an empty oocyte, or triploid with one maternal and two paternal chromosome sets as if two spermatozoa fertilized a normal oocyte. However, diploid moles with both paternal and maternal markers of the nuclear genome have been reported. Among 162 consecutively collected diploid moles, we have earlier found indications of both maternal and paternal genomes in 11. In the present study, we have performed detailed analysis of DNA-markers in tissue and single cells from these 11 HMs. In 3/11, we identified one biparental cell population only, whereas in 8/11, we demonstrated mosaicism: one biparental cell population and one androgenetic cell population. One mosaic mole was followed by persistent trophoblastic disease (PTD). In seven of the mosaics, one spermatozoon appeared to have contributed to the genomes of both cell types. Our observations make it likely that mosaic conceptuses, encompassing an androgenetic cell population, result from various postzygotic abnormalities, including paternal pronuclear duplication, asymmetric cytokinesis, and postzygotic diploidization. This corroborates the suggestion that fertilization of an empty egg is not mandatory for the creation of an androgenetic cell population. Future studies of mosaic conceptuses may disclose details about fertilization, early cell divisions and differentiation. Apparently, only a minority of diploid moles with both paternal and maternal markers are 'genuine' diploid biparental moles (DiBiparHMs).

Identification of the Slynar gene (AY070435) and related brain expressed sequences as a candidate gene for susceptibility to affective disorders through allelic and haplotypic association with bipolar disorder on chromosome 12q24.

OBJECTIVE: Three linkage studies of bipolar disorder have implicated chromosome 12q24.3, with significant lod scores of over 3.00. Several other linkage studies have found lod scores between 2.00 and 3.00. In order to identify which gene on this chromosome is responsible, the authors carried out tests of allelic association with bipolar disorder in order to fine map an affective disorder susceptibility gene. METHOD: DNA samples from 681 bipolar disorder patients and 570 comparison subjects from Denmark and the United Kingdom were genotyped with markers close to the region at which the authors had found maximum linkage in previous studies. RESULTS: Single marker allelic association was found with four markers in the Danish cohort. Seven markers in exactly the same region were then found to show significant allelic association in the U.K. cohort. Tests of haplotypic association were also significant, confirming the single marker allelic associations. CONCLUSIONS: These positive fine mapping results validate earlier linkage studies and implicate a 278-kilobase region of chromosome 12 that contributes to the etiology of bipolar disorder. Several brain transcripts are transcribed from sequences in the region. The main candidate gene has no known function but is found in human brain cDNA and is homologous to a Macaque brain cDNA. Sequencing of expressed sequences and control regions in the area should identify etiological base pair changes that increase susceptibility to bipolar disorder.

Linkage disequilibrium and demographic history of the isolated population of the Faroe Islands.

The isolated population of the Faroe Islands has a history of recent expansion after being limited to a small size for centuries. Such an isolated population may be ideal for linkage disequilibrium mapping of disease genes if linkage disequilibrium (LD) extends over large regions. Analyses of 18 markers on 12q24.3, spanning a region of 4.3 Mb (16 cM), revealed extensive LD in the Faroese population. Maximum LD was found between marker pairs separated by more than 3.8 Mb. The same region had a maximum LD of only 1.2 and 1.4 Mb respectively in two outbred Danish and British populations analysed here for comparison. The analyses of gene diversity excess at 15 unlinked microsatellite markers did not reveal any sign of a severe bottleneck to have occurred within approximately 1200 years' history of the Faroese population. The extensive LD in this population may, therefore, have arisen primarily by random genetic drift. The implications for future gene mapping studies are discussed.