A systematic review of genome-wide analyses of methylation changes associated with assisted reproductive technologies in various tissues
Tania L Gonzalez, Erica T. Wang, Jessica L. Chan, Margareta D. Pisarska, Amelia M. Schaub, Anna E. Dorfman, Allynson G. Novoa, Rimsha A. Hussaini, Paige M. Harakuni, Mayaal H. Khan, Brandon J. Shabani, Akhila Swarna, John Williams
Because analytic technologies improve, increasing amounts of data on methylation differences between assisted reproductive technology (ART) and unassisted conceptions are available. However, various studies use different tissue types and different populations in their analyses, making data comparison and integration difficult.
Objective
To compare and integrate data on genome-wide analyses of methylation differences due to ART, allowing exposure of overarching themes.
Evidence Review
All studies undertaking genome-wide analysis of human methylation differences due to ART or infertility in any tissue type across the lifespan were assessed for inclusion.
Findings
Seventeen studies were identified that met the inclusion criteria. One study assessed trophectoderm biopsies, 2 first-trimester placenta, 1 first-trimester fetal tissue, 2 term placenta, 7 cord blood, 3 newborn dried blood spots, 1 childhood buccal smears, 1 childhood peripheral blood, and 2 adult peripheral blood. Eleven studies compared tissues from in vitro fertilization (IVF) conceptions with those of unassisted conceptions, 4 compared intracytoplasmic sperm injection with unassisted conceptions, 4 compared non-IVF fertility treatment (NIFT) with unassisted conceptions, 4 compared NIFT with IVF, and 5 compared an infertile population (conceiving via various methods) with an unassisted presumably fertile population. In studies assessing placental tissue, 1 gene with potential methylation changes due to IVF when compared with unassisted conceptions was identified by 2 studies. In blood, 11 potential genes with methylation changes due to IVF compared with unassisted conceptions were identified by 2 studies, 1 of which was identified by 3 studies. Three potentially affected genes were identified by 2 studies involving blood between intracytoplasmic sperm injection and unassisted populations. There were no overlapping genes identified in any tissue type between NIFT and unassisted populations, between NIFT and IVF, or the infertility combined population when compared with the unassisted fertile population.
Conclusions
Comparing studies is challenging due to differing variables between analyses. However, even in similar tissue types and populations, overlapping methylation changes are limited, suggesting that differences due to ART are minimal.
RELEVANCE: Information from this systematic review is significant for providers and patients who provide and use ART to understand methylation risks that may be associated with the technology.
The number of sperm that reaches the oocytes in mammalian species is limited. In mice, 8-10 oocytes are ovulated, a similar number of sperm reaches the oocytes, and nearly all oocytes are fertilized v...
Sanders JN et al., 2016Paediatric and Perinatal Epidemiology
BACKGROUND: Most cohort-based research for subfertility has been conducted in clinic-based cohorts, which may differ from population-based cohorts.
METHODS: We retrospectively recruited parallel coho...
Thomas FS et al., 2015
Open Access
Reproductive health
Background: Many women throughout the world have history of subfertility (resolved or unresolved), but much remains unknown about services and treatments chosen.
Methods: We developed a mixed-mode fe...
Schisterman EF et al., 2013Paediatric and perinatal epidemiology
Background: Low-dose aspirin (LDA) has been proposed to improve pregnancy outcomes in couples experiencing recurrent pregnancy loss. However, results from studies of LDA on pregnancy outcomes have bee...