Evidence map›Paper›PMID 41853045›Full record

ArticleBrain communications2026

Genetic landscape and phenotypic correlations of lissencephaly: prenatal and postnatal insights.

Ruibin Huang, Fang Fu, Na Zhang, Hang Zhou, Shanshan Mei, Jin Han, Qiong Deng, Hongsheng Liu, Yongling Zhang, Qiuxia Yu and 12 more

Abstract read
In one paragraph

Article in Brain communications, 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. Article
  2. 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

22 authors.

Ruibin HuangPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Fang FuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Na ZhangPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Hang ZhouPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Shanshan MeiDepartment of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Jin HanPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Qiong DengPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Hongsheng LiuDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Yongling ZhangPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Qiuxia YuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Min PanPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Fucheng LiPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Jianqin LuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Chunling MaPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Fei GuoPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Huanyi ChenPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Liyuan LiuPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Xinyi ZhaoPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Xinyue TanPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Dongzhi LiPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Ru LiPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.
Can LiaoPrenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lissencephaly (LIS) is a spectrum of cortical malformations including agyria, pachygyria and subcortical band heterotopia, which arises from aberrant neuronal migration and is associated with severe neurodevelopmental impairments. Despite advancements in prenatal imaging, diagnosing LIS remains challenging. Genetic factors play a crucial role in LIS, involving multiple genes and signalling pathways, yet research on prenatal diagnosis and the genetic basis is still limited. This study aimed to assess the diagnostic yield of whole exome sequencing (WES) in LIS and to examine genotype-phenotype correlations, addressing the challenge of 'phenotype lag' in prenatal LIS diagnosis. This study included 20 fetuses with LIS suggested by prenatal imaging and 20 children with LIS diagnosed after birth; all cases were diagnosed by magnetic resonance imaging and underwent genetic testing. In addition, a literature review was conducted and 80 studies were included, of which 1 was used to compare detection efficacy and 79 studies totalling 210 cases were used to assess genotype-phenotype correlation. In the prenatal cohort, 85.0% (17/20) of cases exhibited concurrent anomalies, predominantly ventriculomegaly (50.0%) and microcephaly (25.0%). In the postnatal cohort, the most common phenotypes were epilepsy (80.0%, 16/20) and global developmental delay (65.0%, 13/20), with half of the cases (10/20) showing no abnormalities in the prenatal period. The diagnostic yields were 55.0% (11/20) and 65.0% (13/20), respectively, with

Indexed as

agyriapachygyriaprenatal diagnosissubcortical band heterotopiawhole exome sequencing

Identifiers

PMID41853045
PMCPMC12993814

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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.