Methylation profiling

Dataset Information

0

Impact of Assisted Reproduction, Infertility, Sex, and Paternal Factors on the Placental DNA Methylome


ABSTRACT: Children conceived using Assisted Reproductive Technologies (ART) have a higher incidence of growth and birth defects, attributable in part to epigenetic perturbations. Both ART and germline defects associated with parental infertility could interfere with epigenetic reprogramming events in germ cells or early embryos. Mouse models indicate that the placenta is more susceptible to the induction of epigenetic abnormalities than the embryo, and thus the placental methylome may provide a sensitive indicator of ‘at risk’ conceptuses. Our goal was to use genome-wide profiling to examine the extent of epigenetic abnormalities in matched placentas from an ART/infertility group and control singleton pregnancies (n=44/group) from a human prospective longitudinal birth cohort, the 3D Study. Principal component analysis revealed a group of ART outliers. The ART outlier group was enriched for females and a subset of placentas showing loss of methylation of several imprinted genes including GNAS, SGCE, KCNQT1OT1 and BLCAP/NNAT. Within the ART group, placentas from pregnancies conceived with IVF/ICSI showed distinct epigenetic profiles as compared to those conceived with less invasive procedures (ovulation induction, intrauterine insemination). Male factor infertility and paternal age further differentiated the IVF/ICSI group, suggesting an interaction of infertility and techniques in perturbing the placental epigenome. Together, the results suggest that the human placenta is sensitive to the induction of epigenetic defects by ART and/or infertility, and we stress the importance of considering both sex and paternal factors and that some but not all ART conceptuses will be susceptible.

ORGANISM(S): Homo sapiens

PROVIDER: GSE120250 | GEO | 2018/10/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2017-08-16 | GSE85270 | GEO
| EGAS00001006643 | EGA
2021-10-21 | GSE186147 | GEO
2019-05-15 | GSE123143 | GEO
2021-10-21 | GSE186148 | GEO
2021-01-15 | GSE164819 | GEO
2015-03-31 | E-GEOD-63821 | biostudies-arrayexpress
2023-12-05 | GSE234855 | GEO
| PRJNA597363 | ENA
2024-04-24 | GSE225317 | GEO