Twelve years of assessing the quality of preimplantation genetic testing for monogenic disorders.

OBJECTIVE: Genomics Quality Assessment has provided external quality assessments (EQAs) for preimplantation genetic testing (PGT) for 12 years for eight monogenic diseases to identify sub-optimal PGT strategies, testing and reporting of results, which can be shared with the genomics community to aid optimised standards of PGT services for couples. METHOD: The EQAs were provided in two stages to mimic end-to-end protocols. Stage 1 involved DNA feasibility testing of a couple undergoing PGT and affected proband. Participants were required to report genotyping results and outline their embryo testing strategy. Lymphoblasts were distributed for mock embryo testing for stage 2. Submitted clinical reports and haplotyping results were assessed against peer-ratified criteria. Performance was monitored to identify poor performance. RESULTS: The most common testing methodology was short tandem repeat linkage analysis (59%); however, the adoption of single nucleotide polymorphism-based platforms was observed and a move from blastomere to trophectoderm testing. There was a variation in testing strategies, assigning marker informativity and understanding test limitations, some clinically unsafe. Critical errors were reported for genotyping and interpretation. CONCLUSION: EQA provides an overview of the standard of preimplantation genetic testing-M clinical testing and identifies areas of improvement for accurate detection of high-risk embryos.

Development and clinical application of a preimplantation genetic testing for monogenic disease (PGT-M) for beta thalassemia in Vietnam.

PURPOSE: The purpose of this research is to study the clinical outcomes using a next-generation sequencing-based protocol allowing for simultaneous testing of mutations in the beta thalassemia (HBB) gene, including single nucleotide polymorphism (SNP) markers for PGT-M along with low-pass whole genome analysis of chromosome aneuploidies for PGT-A. METHODS: A combined PGT-M (thalassemia) plus PGT-A system was developed for patients undergoing IVF in Vietnam. Here we developed a system for testing numerous thalassemia mutations plus SNP-based testing for backup mutation analysis and contamination control using next-generation sequencing (NGS). Low -pass next-generation sequencing was used to assess aneuploidy in some of the clinical PGT cases. Patients underwent IVF followed by embryo biopsy at the blastocyst stage for combined PGT-A/M. RESULTS: Two cases have completed the entire process including transfer of embryos, while a further nine cases have completed the IVF and PGT-M/A analysis but have not completed embryo transfer. In the two cases with embryo transfer, both patients achieved pregnancy with an unaffected, euploid embryo confirmed through prenatal diagnosis. In the further nine cases, 39 embryos were biopsied and all passed QC for amplification. There were 8 unaffected embryos, 31 carrier embryos, and 11 affected embryos. A subset of 24 embryos also had PGT-A analysis with 22 euploid embryos and 2 aneuploid embryos. CONCLUSIONS: Here we report the development and clinical application of a combined PGT-M for HBB and PGT-A for gross chromosome aneuploidies from 11 patients with detailed laboratory findings along with 2 cases that have completed embryo transfer.

Current experience concerning mosaic embryos diagnosed during preimplantation genetic screening.

The concept of embryos containing multiple cell lines (mosaicism) is not new, but much attention has been paid to this concept recently owing to recent advances in molecular techniques to analyze human embryos. Mosaicism in embryos has been known and reported for some time, originally in early cleavage-stage embryos diagnosed with the use of fluorescence in situ hybridization (FISH). However, the early data have come under attack owing to the limited ability of FISH to reliably detect the actual copy number count of chromosomes as well as potential ascertainment bias of those early studies, which were all performed on already analyzed embryos found to be aneuploid. More recent molecular techniques for analyzing embryos have allowed scientists to really begin to understand mosaic embryos, and to now transfer and follow this class of embryo. Indeed, it could be said that three classes of embryos now exist after preimplantation genetic screening: euploid, aneuploid, and mosaic aneuploid. This paper attempts to bring to light the latest data on mosaic embryos and to understand how clinicians and others will deal with this issue today and in the future. Finally, an attempt is made to look to other fields of genetics to understand how this important issue can be dealt with as a group much better than any one individual group may be able to.

Diminished effect of maternal age on implantation after preimplantation genetic diagnosis with array comparative genomic hybridization.

OBJECTIVE: To assess the relationship between maternal age, chromosome abnormality, implantation, and pregnancy loss. DESIGN: Multicenter retrospective study. SETTING: IVF centers in the United States. PATIENT(S): IVF patients undergoing chromosome screening. INTERVENTION(S): Embryo biopsy on day 3 or day 5/6 with preimplantation genetic diagnosis (PGD) by array comparative genomic hybridization. MAIN OUTCOME MEASURE(S): Aneuploidy, implantation, pregnancy, and loss rates. RESULT(S): Aneuploidy rates increased with maternal age from 53% to 93% for day 3 biopsies and from 32% to 85% for blastocyst biopsies. Implantation rates for euploid embryos for ages <35-42 years did not decrease after PGD: ranges 44%-32% for day 3 and 51%-40% for blastocyst. Ongoing pregnancy rates per transfer did not decrease for maternal ages <42 years after PGD with day 3 biopsy (48.5%-38.1%) or blastocyst biopsy (64.4%-54.5%). Patients >42 years old had implantation rates of 23.3% (day 3), 27.7% (day 5/6), and the pregnancy rate with day 3 biopsy was 9.3% and with day 5 biopsy 10.3%. CONCLUSION(S): Selective transfer of euploid embryos showed that implantation and pregnancy rates were not significantly different between reproductively younger and older patients up to age 42 years. Some patients who start an IVF cycle planning to have chromosome screening do not have euploid embryos available for transfer, a situation that increases with advancing maternal age. Mounting data suggests that the dramatic decline in IVF treatment success rates with female age is primarily caused by aneuploidy.

Chromosomal disorders and male infertility.

Infertility in humans is surprisingly common occurring in approximately 15% of the population wishing to start a family. Despite this, the molecular and genetic factors underlying the cause of infertility remain largely undiscovered. Nevertheless, more and more genetic factors associated with infertility are being identified. This review will focus on our current understanding of the chromosomal basis of male infertility specifically: chromosomal aneuploidy, structural and numerical karyotype abnormalities and Y chromosomal microdeletions. Chromosomal aneuploidy is the leading cause of pregnancy loss and developmental disabilities in humans. Aneuploidy is predominantly maternal in origin, but concerns have been raised regarding the safety of intracytoplasmic sperm injection as infertile men have significantly higher levels of sperm aneuploidy compared to their fertile counterparts. Males with numerical or structural karyotype abnormalities are also at an increased risk of producing aneuploid sperm. Our current understanding of how sperm aneuploidy translates to embryo aneuploidy will be reviewed, as well as the application of preimplantation genetic diagnosis (PGD) in such cases. Clinical recommendations where possible will be made, as well as discussion of the use of emerging array technology in PGD and its potential applications in male infertility.

Karyomapping: a universal method for genome wide analysis of genetic disease based on mapping crossovers between parental haplotypes.

The use of genome wide single nucleotide polymorphism (SNP) arrays for high resolution molecular cytogenetic analysis using a combination of quantitative and genotype analysis is well established. This study demonstrates that by Mendelian analysis of the SNP genotypes of the parents and a sibling or other appropriate family member to establish phase, it is possible to identify informative loci for each of the four parental haplotypes across each chromosome and map the inheritance of these haplotypes and the position of any crossovers in the proband. The resulting 'karyomap', unlike a karyotype, identifies the parental and grandparental origin of each chromosome and chromosome segment and is unique for every individual being defined by the independent segregation of parental chromosomes and the pattern of non-recombinant and recombinant chromosomes. Karyomapping, therefore, enables both genome wide linkage based analysis of inheritance and detection of chromosome imbalance where either both haplotypes from one parent are present (trisomy) or neither are present (monosomy/deletion). The study also demonstrates that karyomapping is possible at the single cell level following whole genome amplification and, without any prior patient or disease specific test development, provides a universal linkage based methodology for preimplantation genetic diagnosis readily available worldwide.

Non-disclosing preimplantation genetic diagnosis for Huntington disease.

OBJECTIVES: Individuals at risk for Huntington disease face difficult decisions regarding their reproductive options. Most do not wish to pass on the gene for Huntington disease to their children, but may not be prepared themselves to undergo presymptomatic testing and learn their genetic status. For these reasons, many at-risk individuals with a family history of HD would choose a method of genetic diagnosis that would assure them that they can have children unaffected with HD without revealing their own genetic status (non-disclosing). We have shown that, with a carefully designed and executed programme of non-disclosing preimplantation genetic testing, one can successfully assist at-risk couples to have their own biological children who are free from Huntington disease, without forcing parents to confront knowledge of their own genetic status. METHODS: Couples where one partner was at 50% risk for Huntington disease underwent in vitro fertilization with preimplantation embryo biopsy and molecular analysis for Huntington disease where appropriate. RESULTS: After extensive counselling and informed consent, 10 couples underwent 13 in vitro fertilization and two frozen embryo transfer cycles in a programme for non-disclosing preimplantation genetic diagnosis for Huntington disease. In 11 cycles, embryos determined to be free of Huntington disease were transferred, resulting in five clinical pregnancies. One set of twins and three singleton pregnancies have delivered. One pregnancy resulted in a first-trimester loss. CONCLUSIONS: The option of non-disclosing preimplantation genetic diagnosis should be reviewed, along with other relevant medical options, when counselling at-risk Huntington disease families.