Evidence map›Paper›PMID 41024278›Full record

ArticleItalian journal of pediatrics2025

(Epi)genotype-phenotype correlations of Beckwith-Wiedemann syndrome in China.

Dongyi Lan, Songchunyuan Zhang, Jun Li, Yueqing Wang, Chenbin Dong

Abstract read
In one paragraph

Article in Italian journal of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dongyi LanDepartment of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Songchunyuan ZhangDepartment of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Jun LiDepartment of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Yueqing WangDepartment of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Chenbin DongDepartment of Plastic Surgery, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China. dcb426@163.com.

Funding

Natural Science Foundation of Shanghai Municipality 22ZR1408300
6 · The paper itself

Abstract

backgroundBeckwith-Wiedemann syndrome (BWS) is a rare congenital overgrowth disorder characterized by various clinical features and (epi)genetic defects. The study aims to elaborate on the clinical features, (epi)genetic errors, and (epi)genotype-phenotype correlations in Beckwith-Wiedemann syndrome (BWS) in the past ten years.

methodsA retrospective study was designed on patients with BWS from July 2013 to October 2022 from Children's Hospital of Fudan University. Clinical data, including demographics, clinical features, and molecular testing results, were collected, and the (epi)genotype-phenotype correlations were systematically analyzed. The clinical diagnosis standard and scoring were referred to the international experts' consensus (2018 version). Patients suspected or clinically diagnosed with BWS underwent MS-MLPA testing for (epi)genotyping.

results242 BWS patients (119 males and 123 females) aged from 0 to 69 months were in the study. The most common clinical features were macroglossia (96.3%), followed by lateralized overgrowth (63.6%) and ear creases/pits (50.4%). Two hepatoblastomas and one Wilms tumor were found in the cohort. The average BWS clinical score was 5.74 ± 1.73 points. The (epi)genotyping results identified the three most common (epi)genetics errors: IC2 LOM, pUPD11, and IC1 GOM accounted for 52.3%, 19.2%, and 9.3%, respectively, of all patients who underwent MS-MLPA testing. A characteristic pattern was found in the three different molecular groups. Macroglossia, exomphalos, and facial naevus simplex were more common in IC2 LOM than in IC1 GOM and pUPD11 (p < 0.05). Lateralized overgrowth was more common in pUPD11 than in IC2 LOM and IC1 GOM group (p < 0.001). Nephromegaly or hepatomegaly was more common in IC1 GOM than in IC2 LOM and pUPD11 (p < 0.001).

conclusionThe (epi)genotype-phenotype correlations delineate different phenotypic profiles. Molecular testing and standardization of BWS diagnostic procedures are of great significance for the early diagnosis and surveillance of BWS.

Indexed as

Beckwith-Wiedemann SyndromeGenetic Association StudiesChildChild, PreschoolChinaFemaleGenotypeHumansInfantInfant, NewbornMalePhenotypeRetrospective StudiesBeckwith-Wiedemann syndrome(Epi)genotype-phenotype correlationsMethylation

Identifiers

PMID41024278
PMCPMC12482075

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