Evidence map›Paper›PMID 37730945›Full record

ArticleJournal of assisted reproduction and genetics2023

A novel embryo biopsy morphological analysis and genetic integrality criterion system significantly improves the outcome of preimplantation genetic testing.

Ying Kuo, Xiaohui Zhu, Qianying Guo, Yuqian Wang, Shuo Guan, Ping Liu, Rong Li, Zhiqiang Yan, Liying Yan, Jie Qiao

Open access · greenAbstract read
In one paragraph

Article in Journal of assisted reproduction and genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

10 authors at 1 institution in 3 countries.

Ying KuoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Xiaohui ZhuCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Qianying GuoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Yuqian WangCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Shuo GuanCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Ping LiuCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Rong LiCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China.
Zhiqiang YanCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China. zqyan@pku.edu.cn.
Liying YanCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China. yanliyingkind@aliyun.com.ORCID http://orcid.org/0000-0001-9572-9440
Jie QiaoCenter for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, North Garden Road, Haidian district, Beijing, 100191, China. jie.qiao@263.net.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhile efforts have been made to establish blastocyst grading systems in the past decades, little research has examined the quality of biopsy specimens. This study is the first to correlate the morphology of biopsied trophectoderm (TE) cells to their quality and subsequent genetic testing results of preimplantation genetic testing (PGT), through an innovative Morphological Analysis and Genetic Integrality Criterion (MAGIC) system.

methodsBiopsied TE cells were first evaluated according to the MAGIC procedure, followed by whole-genome amplification (WGA) and library construction, and then sequenced using the Illumina X Ten Platform. Copy number variation (CNV) and allele drop-out (ADO) rates as well as test failure rates were compared and analyzed.

resultsOur data explores the relationship between TE cell morphology and its quality and final genetic testing outcome, which is established based on the MAGIC system. MAGIC guarantees that only high- or good-quality TE cells are used for genetic testing to generate excellent data uniformity and lower ADO rates. Low-quality cells containing biopsied TE cell mass are responsible for the "background noise" of CNV analysis.

conclusionThe MAGIC application has effectively decreased the false-positive mosaicism, hence to ensure the stability and veracity of detection results, to avoid misdiagnoses, and to improve accuracy, as well as to avoid re-biopsy procedures. The study also contributes to understand how the IVF laboratory and the molecular biology laboratory depend on each other to achieve good-quality PGT results, which are clinically relevant for the patients.

Indexed as

Preimplantation DiagnosisAneuploidyBiopsyBlastocystDNA Copy Number VariationsFemaleGenetic TestingHumansMosaicismPregnancyCNVEmbryo biopsy specimenFalse-positive mosaicismMAGIC systemPGTTrophectoderm biopsy

Identifiers

PMID37730945
PMCPMC10643757
OpenAlexW4386910474

What OpenQuestion holds

Textmetadata
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.