Evidence map›Paper›PMID 37987034›Full record

ReviewZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences2023

Research progress and challenges of preimplantation genetic testing for polygenic diseases.

Xiaojing Wu, Jiexue Pan, Yimin Zhu, Hefeng Huang

Abstract readReview
In one paragraph

Review in Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Xiaojing WuZhejiang University School of Medicine, Hangzhou 310058, China. wxj_zju22118407@163.com.
Jiexue PanDepartment of Reproductive Medicine, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200090, China.
Yimin ZhuZhejiang University School of Medicine, Hangzhou 310058, China. zhuyim@zju.edu.cn.
Hefeng HuangZhejiang University School of Medicine, Hangzhou 310058, China. hhf57@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preimplantation genetic testing is an important part in assisted reproductive technology, which can block the intergenerational inheritance of a single gene or chromosomal diseases. Preimplantation genetic testing for polygenic disease risk (PGT-P) is one of the latest developments in the field. With the development of artificial intelligence and genetic detection technology, PGT-P can be used to analyze genetic material, calculate polygenic risk scores and convert these into incidence probability. Embryos with relatively low incidence probability can be screened for transfer, in order to reduce the possibility that the offspring suffers from the disease in the future. This has significant clinical and social significance. At present, PGT-P has been applied clinically and made phased progress at home and abroad. But as a developing technology, PGT-P still has some technical limitations as unstable results, environmental influences and racial differences cannot be ruled out. From the ethical perspective, if the screening indications are not strictly regulated, it is likely to cause new social problems. In this paper, we review the technical details and recent progress in PGT-P, and discuss the prospects of its future development, especially how to establish a complete and suitable screening model for Chinese population.

Indexed as

Genetic TestingPreimplantation DiagnosisArtificial IntelligenceFemaleGenetic Diseases, InbornHumansMultifactorial InheritancePregnancyReproductive Techniques, AssistedPolygenic disordersPolygenic risk scorePreimplantation genetic testingReview

Identifiers

PMID37987034
PMCPMC11348693

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.