Evidence map›Paper›PMID 41705901›Full record

ArticlePrenatal diagnosis2026

NONO-Related Syndromic X-Linked Developmental Disability 34: Further Clinical and Molecular Delineation in a Prenatal Cohort.

Yilin Zhao, Gang Zou, Mengmeng Shi, Kwok Ming Law, So Ling Lau, Meng Meng, Yuen Ha Ting, Chiu Yee Liona Poon, Zirui Dong, Matthew Hoi Kin Chau and 4 more

Abstract readCase Reports
In one paragraph

Article in Prenatal diagnosis, 2026. 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
–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

1 citing paper in PubMed.

  1. 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

14 authors.

Yilin ZhaoReproductive Medicine Institute, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.
Gang ZouShanghai Key Laboratory of Maternal Fetal Medicine, Department of Obstetrics, Fetal Medicine Unit and Prenatal Diagnosis Center, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Mengmeng ShiDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0009-0009-3523-7685
Kwok Ming LawDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
So Ling LauDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-4198-1709
Meng MengShanghai Key Laboratory of Maternal Fetal Medicine, Department of Obstetrics, Fetal Medicine Unit and Prenatal Diagnosis Center, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Yuen Ha TingDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chiu Yee Liona PoonDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-3944-4130
Zirui DongDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-3626-6500
Matthew Hoi Kin ChauDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-0945-1938
Tak Yeung LeungDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Kwong Wai ChoyDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xinwen ZhangReproductive Medicine Institute, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.
Ye CaoDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-5712-1968

Funding

Collaborative Research Fund C4062-21 GFCUHK Direct Grant 2025.164,2024.157General Research Fund 14112221Natural Science Basic Research Plan in Shaanxi Province of China 2021JQ-936
6 · The paper itself

Abstract

objectiveTo characterize the prenatal sonographic features across different trimesters and genomic spectrum of NONO-related X-linked intellectual developmental disorder.

methodWe analyzed two fetuses presenting with corpus callosum agenesis and rare cardiac anomalies using genome sequencing and exome sequencing. A systematic literature review was conducted to provide a comprehensive analysis of genotype-phenotype correlations.

resultsTwo novel cases were reported in this study: one with a de novo 61.7 kb deletion affecting both NONO and ITGB1BP2, and another with a de novo c.1093 C > T(p.Arg365Ter), a recurrent variant reported in the literature. A total of 23 cases with NONO defects and prenatal phenotypes were identified, encompassing 19 distinct variant types. Large deletions and splicing variants accounted for approximately 32% (6/19). Among all cases, 78% (18/23) exhibited typical or concurrent brain abnormalities, such as corpus callosum agenesis, cardiac defects including left ventricular noncompaction (LVNC), or short long bones in the second trimester. Notably, 4% (1/23) of cases were reported with isolated intrauterine growth restriction (IUGR), primarily identified in the third trimester.

conclusionGenome sequencing facilitates thorough identification of the genetic causes of NONO-related syndrome. The recurrent variant p.Arg365Ter has been reported to cause variable cardiac abnormalities in different patients, suggesting that other genetic or non-genetic factors may contribute to the cardiac manifestations in NONO-related syndromes.

Indexed as

Developmental DisabilitiesGenetic Diseases, X-LinkedAdultAgenesis of Corpus CallosumCohort StudiesFemaleHeart Defects, CongenitalHumansPregnancyUltrasonography, Prenatalgenome sequencingintellectual disabilityIUGRMRXS34non‐compaction cardiomyopathyNONO, corpus callosum anomaliessyndromic X‐linked intellectual disability 34

Identifiers

PMID41705901
PMCPMC13170050

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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.