Evidence map›Paper›PMID 42151836›Full record

ArticleBMC pregnancy and childbirth2026

Hi-C technology for detection of chromosomal rearrangements in families with adverse pregnancy outcomes: a preliminary exploratory study.

Wei Wang, Yinglu Zhang, Lingna Zhou, Wenyi Chen, Feng Zhang, Bin Yu, Bin Zhang

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Wei Wang *Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China.
Yinglu Zhang *Department of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China.
Lingna ZhouDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China.
Wenyi ChenDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China.
Feng ZhangDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China.
Bin YuDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China. binyu@njmu.edu.cn.
Bin ZhangDepartment of Medical Genetics, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, No.16 Dingxiang road, Changzhou, 213000, China. binzhang@njmu.edu.cn.ORCID http://orcid.org/0009-0002-3198-7162

Funding

Medical Technology Research Project of Changzhou Maternal and Child Health Care Hospital YJ202413Top Talent of Changzhou "The 14th Five‑Year Plan" High‑Level Health Talents Training Project 2022CZBJ089
6 · The paper itself

Abstract

Chromosomal abnormalities are a leading cause of adverse pregnancy outcomes. Conventional methods such as karyotyping and chromosomal microarray analysis (CMA) have limited ability to detect cryptic, mosaic, or repeat-region structural variants. This preliminary exploratory study evaluated the feasibility and potential utility of Hi-C in comparison with karyotyping, CMA, optical genome mapping (OGM), and structural variant sequencing (SV-seq) in two families with unexplained or incompletely characterized recurrent adverse pregnancy outcomes. In Family 1, CMA and recurrent abnormal NIPS results suggested maternal mosaic copy number changes, and high depth karyotyping, SV-seq, and Hi-C supported a mosaic unbalanced translocation involving chromosomes 9 and 18; OGM detected the copy number changes but did not resolve the underlying cryptic rearrangement structure. In Family 2, Hi-C, together with OGM and SV-seq, refined the candidate breakpoint regions of a balanced translocation initially detected by karyotyping, and supported transmission of the same rearrangement to the daughter. These findings suggest that Hi-C may serve as a valuable complementary diagnostic tool for identifying cryptic balanced or mosaic chromosomal rearrangements in selected families with unexplained or incompletely characterized recurrent adverse pregnancy outcomes. Larger sample prospective studies are still required to verify its general clinical application in the future.

Indexed as

Chromosome AberrationsChromosome DisordersAdultChromosome MappingDNA Copy Number VariationsFeasibility StudiesFemaleHumansKaryotypingPregnancyPregnancy OutcomeTranslocation, GeneticAdverse pregnancy outcomesChromosomal rearrangementsHi-C technologyOptical genome mappingStructural variant sequencing

Identifiers

PMID42151836
PMCPMC13348099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.