Evidence map›Paper›PMID 41559681›Full record

ArticleJournal of translational medicine2026

Evaluation of the efficacy of optical genome mapping in prenatal diagnosis: a retrospective cohort study.

Kaili Yin, Yan Lü, Hanzhe Zhang, Mengmeng Li, Jiazhen Chang, Xueting Yang, Qingwei Qi, Xiya Zhou, Jiangshan Guo, Yaru Wang and 4 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. 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. Review
  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

14 authors.

Kaili YinNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yan LüNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hanzhe ZhangNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mengmeng LiNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiazhen ChangNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xueting YangNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Qingwei QiNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiya ZhouNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jiangshan GuoBecreative Lab Co., Ltd, Beijing, China.
Yaru WangEcobono (Beijing) Biotech Co., Ltd, Beijing, China.
Cuixia WangHebei Maternal Hospital, Hebei, China.
Wei LiBaoding Maternal and Child Health Hospital, Hebei, China.
Na HaoNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. haona@pumch.cn.
Yulin JiangNational Clinical Research Center for Obstetric & Gynecologic DiseasesDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. jiangyl@pumch.cn.

Funding

CAMS Innovation Fund for Medical Sciences CIFMS-2022-I2M-C&T-B-008High-level Hospital Construction Project of Guangdong Provincial People's Hospital 2022-PUMCH-B-076National Key Clinical Specialty Discipline Construction Program of China U114000
6 · The paper itself

Abstract

backgroundOptical genome mapping (OGM) is an emerging cytogenetic method for concurrently detecting structural variants (SVs) and copy number variants (CNVs). However, its clinical application in prenatal diagnosis remains underexplored.

methodsThis study retrospectively evaluated the clinical validity of OGM in prenatal diagnosis by comparing with two routine genetic testing methods: karyotyping and chromosomal microarray analysis (CMA). Both positive and negative cases detected by routine genetic methods were enrolled to evaluate the technical concordance of OGM and its capability to improve diagnostic rate in negative cases. The exclusion criteria were balanced centromeric translocations, mosaic cases with cellular fractions < 20%, and loss of heterozygosity (LOH) < 25 Mb. All samples subjected to OGM testing were anonymized and analyzed blindly. The results from OGM were compared with those from routine genetic testing, and statistical analyses were performed to assess technical concordance and diagnostic rate.

resultsOf 217 samples (166 positive samples and 51 negative samples for routine genetic testing), all were successfully tested with OGM, including 2 umbilical cord blood samples, 4 chorionic villi samples, and 211 cultured amniotic fluid samples. Of the 207 reportable chromosomal aberrations from 166 positive samples, the blinded concordance between OGM and CMA, karyotyping, and combination of karyotyping plus CMA was 97.81%, 96.36%, and 97.10%, respectively. OGM missed six aberrations initially, including one LOH, two marker chromosomes, and three microdeletions. However, after reanalysis, its concordance improved to 100% with CMA and 99.03% with karyotyping plus CMA. OGM also diagnosed one additional case of a 3-kb deletion in 51 negative samples, improving the diagnostic rate by 1.96%. Moreover, OGM reclassified the pathogenicity of two microdeletions from pathogenic to uncertain significance in 2 positive cases. Furthermore, OGM clarified the diagnosis suspected by routine genetic testing and improved diagnostic accuracy in some cases.

conclusionAs far as we know, this is the largest retrospective study on OGM in prenatal diagnosis, and it includes a broad range of sample types. The results showed that OGM exhibits high concordance among the tested methods and increases the diagnostic rate. Thus, OGM has the potential to become a first-line technique for prenatal diagnosis in the future.

Indexed as

Chromosome MappingGenome, HumanPrenatal DiagnosisAdultChromosome AberrationsCohort StudiesFemaleHumansKaryotypingPregnancyRetrospective StudiesChromosomal aberrationsChromosomal microarray analysisKaryotypingOptical genome mappingPrenatal diagnosis

Identifiers

PMID41559681
PMCPMC12822095

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.