Evidence map›Paper›PMID 37827482›Full record

SynthesisFertility and sterility2024

A systematic review of genome-wide analyses of methylation changes associated with assisted reproductive technologies in various tissues.

Amelia M Schaub, Tania L Gonzalez, Anna E Dorfman, Allynson G Novoa, Rimsha A Hussaini, Paige M Harakuni, Mayaal H Khan, Brandon J Shabani, Akhila Swarna, Erica T Wang and 3 more

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Fertility and sterility, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Amelia M SchaubDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Tania L GonzalezDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Anna E DorfmanDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Allynson G NovoaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Rimsha A HussainiDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Paige M HarakuniDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Mayaal H KhanDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Brandon J ShabaniDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Akhila SwarnaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Erica T WangDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
Jessica L ChanDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California.
John WilliamsDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California; David Geffen School of Medicine at UCLA, Los Angeles, California.
Margareta D PisarskaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars Sinai Medical Center, Los Angeles, California; David Geffen School of Medicine at UCLA, Los Angeles, California. Electronic address: pisarskam@cshs.org.
Cedars-Sinai Medical Center · US

Funding

Effects of fetal sex on the first trimester transcriptomeR01HD074368 · NICHD · CEDARS-SINAI MEDICAL CENTER · PI PISARSKA, MARGARETA · 2013 to 2018
$3.4M
The impact of sex and gender on disease progression, from developmental originsR01AI154535 · NIAID · CEDARS-SINAI MEDICAL CENTER · PI PISARSKA, MARGARETA · 2020 to 2024
$2.3M
NIAID NIH HHS R01 AI154535NICHD NIH HHS R01 HD074368
6 · The paper itself

Abstract

importanceBecause 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.

objectiveTo 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.

findingsSeventeen 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.

conclusionsComparing 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.

Indexed as

DNA MethylationGenome-Wide Association StudyReproductive Techniques, AssistedAdultChildFemaleFertilization in VitroHumansInfant, NewbornInfertilityMalePlacentaPregnancySemenDNA methylationepigeneticsinfertilityin vitro fertilization

Identifiers

PMID37827482
PMCPMC11262788
OpenAlexW4387504208

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.