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PubMed1996

Genomic imprinting: significance in development and diseases and the molecular mechanisms.

Certain mammalian genes are expressed exclusively from either the paternal or the maternal chromosome because of a differential marking process that occurs during gametogenesis. This epigenetic marking is called genomic imprinting. Monoallelic expression of imprinted genes is responsible for the inability of uniparental mammalian embryos to develop normally and for the abnormal phenotypes observed with particular chromosomal disomies. Many of the imprinted genes identified to date are involved in the regulation of cell proliferation and differentiation and, together with other pieces of evidence, they are suggested to play a role in tumorigenesis. Here we discuss how imprinted genes cause diseases and tumors and summarize the recent advances of studies on the molecular basis of this epigenetic phenomenon. In particular, we focus on two well-characterized imprinted chromosomal regions, namely the human Prader-Willi/Angelman syndrome region and the mouse INS2/IGF2/H19 region. The correlations between the differential gene activity and the changes in DNA methylation, higher order chromatin structure and replication timing, will shed light on gene regulation at the level of the chromosomal domain.

Animals↗

PubMed2000

Zac1 (Lot1), a potential tumor suppressor gene, and the gene for epsilon-sarcoglycan are maternally imprinted genes: identification by a subtractive screen of novel uniparental fibroblast lines.

Imprinted genes are expressed from one allele according to their parent of origin, and many are essential to mammalian embryogenesis. Here we show that the epsilon-sarcoglycan gene (Sgce) and Zac1 (Lot1) are both paternally expressed imprinted genes. They were identified in a subtractive screen for imprinted genes using a cDNA library made from novel parthenogenetic and wild-type fibroblast lines. Sgce is a component of the dystrophin-sarcoglycan complex, Zac1 is a nuclear protein inducing growth arrest and/or apoptosis, and Zac1 is a potential tumor suppressor gene. Sgce and Zac1 are expressed predominantly from their paternal alleles in all adult mouse tissues, except that Zac1 is biallelic in the liver and Sgce is weakly expressed from the maternal allele in the brain. Sgce and Zac1 are broadly expressed in embryos, with Zac1 being highly expressed in the liver primordium, the umbilical region, and the neural tube. Sgce, however, is strongly expressed in the allantoic region on day 9.5 but becomes more widely expressed throughout the embryo by day 11.5. Sgce is located at the proximal end of mouse chromosome 6 and is a candidate gene for embryonic lethality associated with uniparental maternal inheritance of this region. Zac1 maps to the proximal region of chromosome 10, identifying a new imprinted locus in the mouse, homologous with human chromosome 6q24-q25. In humans, unipaternal disomy for this region is associated with fetal growth retardation and transient neonatal diabetes mellitus. In addition, loss of expression of ZAC has been described for a number of breast and ovarian carcinomas, suggesting that ZAC is a potential tumor suppressor gene.

Animals↗

PubMed1991

Molecular study of the Prader-Willi syndrome: deletion, RFLP, and phenotype analyses of 50 patients.

Deletion and RFLP studies with 5 cloned DNA markers localized at 15q11.2 were performed in 50 patients with the Prader-Willi syndrome (PWS). A one-copy density (deletion) for at least one of 4 loci, D15S9, D15S11, D15S10, D15S12, was detected in 32 (64%) of the 50 patients; deletions of each of the 4 loci were found in 29, 30, 29, and 28 patients, respectively. Three patients showed 4 or more copy density for D15S12 locus, in addition to deletions. The remaining 18 patients showed two-copy densities for each of the 4 loci. A common site of rearrangements among our 32 patients as well as the reported patients seemed to be confined to a segment between D15S9 and D15S11, suggesting the putative PWS gene locus in this segment. Of 6 patients who have cytologic deletions but did not show any molecular deletions, 3 have normal size of hands and feet, and 4 have normally pigmented skin and hair. The normal pigmentation was also observed in 3 patients who had small molecular deletions in the examined 5-locus segment. These observations may support the conception of contiguous gene syndrome. RFLP analysis demonstrated maternal uniparental isodisomy of chromosomes 15 in both a patient with 45,t(15q;15q) and a karyotypically normal patient. Based on the results of the present study, a new model is proposed to explain the occurrence of PWS with a variety of chromosome abnormalities, including partial monosomy, disomy, trisomy, and/or tetrasomy for 15q11.2. The normal development may require an even or more "number ratio" of paternally derived allele(s) to maternally derived allele(s) of the gene(s) localized at 15q11.2, and a disturbance of the ratio would lead to the PWS phenotype.

Adolescent↗

PubMed1997

Prader-Willi syndrome in a child with mosaic trisomy 15 and mosaic triplo-X: a molecular analysis.

A 3.3 year old girl with Prader-Willi syndrome (PWS) and mosaicism for two aneuploidies, 47,XXX and 47,XX,+15, is presented. The triplo-X cell line was found in white blood cells and fibroblasts, the trisomy 15 cell line in 50% of the fibroblasts. Using methylation studies of the PWS critical region and by polymorphic microsatellite analysis, the existence of uniparental maternal heterodisomy for chromosome 15 was shown in white blood cells. This provided a molecular explanation for the PWS in this child. In fibrolasts, an additional paternal allele was detected for markers on chromosome 15, which is in agreement with the presence of mosaicism for trisomy 15 in these cells. This example provides direct evidence for trisomic rescue by reduction to disomy as a possible basis for PWS. Whereas the trisomy 15 was caused by a maternal meiosis I error, the triplo-X resulted from a postzygotic gain of a maternal X chromosome, as shown by the finding of two identical maternal X chromosomes in the 47,XXX cell line. Because the triplo-X and the trisomy 15 were present in different cell lines, gain of an X chromosome occurred either in the same cell division as the trisomy 15 rescue or shortly before or after.

Alleles↗

PubMed2000

Clinical and molecular studies in 15 females with ring X chromosomes: implications for r(X) formation and mental development.

We report clinical and molecular findings in 15 Japanese mosaic females with r(X) chromosomes, 45,X/46,X,r(X), confirmed by fluorescence in situ hybridization (FISH) analysis for DXZ1 and whole X chromosome painting. Cases 1-3, 5-7, and 11-13 had mental retardation (MR), the remaining cases being free from MR. FISH analysis showed that XIST was absent from the r(X) chromosomes in cases 1-4 and was present on the r(X) chromosomes in cases 5-15. X-inactivation analysis for the methylation status of the AR gene indicated that, of eight cases with XIST-positive r(X) chromosomes in more than 10% (23%-62%) of lymphocytes (cases 5-12), cases 5-10 had selective X-inactivation, whereas cases 11 and 12 had active X disomy. Microsatellite analysis for multiple loci on the pericentromeric region revealed that, of 11 cases with r(X) chromosomes in more than 10% (13%-62%) of lymphocytes (cases 1, 2, and 4-12), cases 1, 2, and 5-10 had heterozygous alleles for at least one locus, whereas cases 4, 11, and 12 had single alleles for all the loci examined. The results suggest that the r(X) and normal X chromosomes could be of biparental or uniparental origin, and that mental status in females with r(X) chromosomes is determined by multiple factors, including the presence or absence of XIST on the r(X) chromosomes and the size and frequency of active r(X) chromosomes, in addition to co-incidental genetic and environmental factors.

Adolescent↗

PubMed2000

Seven ring (X) chromosomes lacking the XIST locus, six with an unexpectedly mild phenotype.

Small ring (X) chromosomes lacking the XIST gene at Xq13.2 have been associated with a severe phenotype that includes mental retardation, facial dysmorphism and congenital abnormalities. It has been hypothesised that the loss of XIST results in functional disomy for the sequences contained in the ring. We studied 47 females with a 45,X/46,r(X) karyotype and found seven to have an XIST-negative ring. Only one of the seven patients had the severe phenotype. The remaining six patients had physical phenotypes consistent with Turner syndrome. The rings were characterised cytogenetically and molecularly. The severe phenotype in one patient can be explained by the absence of XIST expression, the relatively large amount of Xp material in the ring and, possibly, the concomitant maternal uniparental isodisomy. We propose three explanations for the unexpectedly mild phenotypes in the remaining six patients; (1) the rings contained limited amounts of X-chromosome material, and sequences that, when functionally disomic, result in a severe phenotype were absent; (2) mosaicism resulting in the absence of the ring from tissues, such as the brain, which are important in the severe phenotype and (3) the presence of an inactive X in some tissues at some time, exemplified by the demonstration of XIST expression in one patient.

Abnormalities, Multiple↗

PubMed2002

The proportion of cells with functional X disomy is associated with the severity of mental retardation in mosaic ring X Turner syndrome females.

Turner syndrome females (45,X) do not have mental retardation (MR), whereas some mosaic ring X Turner syndrome females, with 45,X/46,X,r(X), have severe MR. The MR is believed to be caused by a failure of X chromosome inactivation (XCI) of the small ring X chromosome, which leads to functional X disomy (FXD), To explore this hypothesis, we examined the proportion of FXD cells in the peripheral blood of four ring X Turner syndrome females with various levels of MR, using two newly developed XCI assays based on DNA methylation of X-linked genes. As a result, the two patients with extremely severe MR showed complete FXD patterns, whereas the remaining two patients with relatively milder MR showed partial FXD patterns. These results indicate that the proportion of FXD cells may be associated with the severity of MR in mosaic ring X Turner syndrome females, although this association should be confirmed by examining brain cells during development. One of the cases with severe MR and a complete FXD pattern neither lacked the XIST gene nor had uniparental X isodisomy, and we discuss the mechanism of the failure of XCI in this case.

Child↗

PubMed2025

Accurate identification of abnormal ploidy using an artificial intelligence model in preimplantation genetic testing.

STUDY QUESTION: Can ultra-low-coverage whole-genome sequencing (ulc-WGS) accurately identify abnormal ploidy during preimplantation genetic testing (PGT)? SUMMARY ANSWER: The artificial intelligence (AI)-based PGT-Plus model demonstrates high accuracy in ploidy detection, offering a cost-effective solution that enhances clinical utility of PGT. WHAT IS KNOWN ALREADY: The predominant PGT for aneuploidy can identify chromosomal aneuploidies but cannot determine ploidy status. Transferring embryos with ploidy abnormalities can result in miscarriage and molar pregnancy. On the other hand, in ART, fertilization is assessed by morphological pronuclear assessment at the zygote stage. However, it has a low specificity in the prediction of abnormal ploidy status and embryos deemed abnormally fertilized can yield healthy pregnancies. Accurately identified abnormal ploidy in PGT-A can resolve current limitations and expand the utility range of PGT-A. Several studies have identified ploidy abnormalities; however, they were mainly based on single-nucleotide polymorphism (SNP) arrays or needed to combine additional targeted-next-generation sequencing (NGS) information. Studies based on ulc-WGS remain scarce. STUDY DESIGN SIZE DURATION: The study consisted of two stages: methodology establishment and validation. An AI model, named PGT-Plus, was developed using 653 samples with known ploidy status, which was further validated using 792 different ploidy status samples. In the clinical application stage, the approach was used to analyse the ploidy status of 19 103 normally fertilized PGT blastocysts and 140 single pronucleus (1PN)-derived blastocysts collected between May 2022 and December 2023. All blastocysts were tested using trophectoderm biopsy and NGS. PARTICIPANTS/MATERIALS SETTING METHODS: The methodology is based on the ulc-WGS data. First, based on samples with known ploidy status: the heterozygosity rate of high-frequency biallelic SNPs, the likelihood ratio (LLR) of alleles was calculated under different assumptions ('both parental homologs' [BPH] from a single parent, 'single parental homolog' [SPH] from each parent, disomy, and monosomy) by leveraging allele frequencies and linkage disequilibrium (LD) measured in the 1000 genomes project database. Twenty-three continuous candidate features derived from heterozygosity rates and LLRs of chromosomes or selected windows were included to establish the ploidy prediction AI model. Gini importance analysis and multicollinearity mitigation was performed for feature selection, then the performance of Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression for modelling was compared. Subsequently, the parameter optimization was performed based on the RF model. Ploidy constitution concordance was evaluated in known ploidy status samples. The frequency of abnormal ploidy in normal fertilized PGT blastocysts and 1PN-derived blastocysts (including conventional IVF and ICSI) was evaluated. MAIN RESULTS AND THE ROLE OF CHANCE: Eleven features were collected for model architecture compared to SVM and Logistic Regression; RF achieved superior performance for ploidy detection. The AI model achieved an AUC of 1 for genome-wide-uniparental diploidy (GW-UPD), 1 for triploidy, and 0.99 for diploidy. For the 792 validation samples, 99.5% of samples were successfully detected using the AI model, and the model showed 100% accuracy for ploidy classification. In the clinical application stage, out of 19 103 PGT samples, 19 069 were successfully analysed using the model, with 110 (0.57%) identified as having abnormal ploidy embryos. Among these, 12.7% (14/110) were identified as GW-UPD, and 87.3% (96/110) were triploid. Among 5563 diploid blastocysts transferred, 3478 clinical pregnancies were achieved. Subsequent ploidy analysis was performed for 217 spontaneous abortion and 935 prenatal diagnostic samples, and no abnormal ploidy was identified. Furthermore, of the 140 1PN embryos tested, 40 (28.6%) exhibited GW-UPD, 3 (2.1%) exhibited triploidy, and 97 (69.3%) were determined to be biparental and normally fertilized. Among the 97 biparental embryos, 46 were diploid, 11 were mosaic, and 40 were aneuploid. In terms of the insemination pattern, the percentage of abnormal ploidy in ICSI was significantly higher than in conventional IVF (P < 0.01, 37.1% vs. 2.9%, respectively). With full informed consent, 20 patients without euploidy from normal fertilization chose 1PN-derived biparental and diploid blastocysts to transfer, resulting in 10 clinical pregnancies and 9 ongoing pregnancies. LARGE-SCALE DATA: N/A. LIMITATIONS REASONS FOR CAUTION: Some rare ploidy abnormalities, such as polyploidy with an equal number of identical sets of chromosomes and ploidy mosaicism cannot be accurately identified. Moreover, the origin of abnormal ploidy was not identified due to the unavailability of DNA from both parents. WIDER IMPLICATIONS OF THE FINDINGS: The PGT-Plus AI model provides a ploidy evaluation method based on the conventional PGT-A data and integrates directly into standard PGT-A workflows. Clinical utility results suggest that the model is a valuable tool for identifying embryos with abnormal ploidy in PGT-A and rescuing normal diploid embryos from abnormally fertilized embryos. These findings demonstrate that PGT-Plus significantly enhances the diagnostic accuracy of PGT. STUDY FUNDING/COMPETING INTERESTS: This study was supported by grants from Major Scientific Program of CITIC Group (No. 2023ZXKYB34100, to Ge.L.), Hunan Provincial Grant for Innovative Province Construction (2019SK4012), Hunan Xiangjiang New District (Changsha High-tech Zone) key core technology research project in 2023, and Science Foundation of Hunan Province (Grant 2023JJ30422). All authors declared no conflicts of interest..

artificial intelligence↗