A novel deep intronic COL5A1 variant in an Ehlers-Danlos syndrome family: functional characterization by minigene assay

This study aimed to identify the genetic cause of Ehlers-Danlos syndrome (EDS) in a Chinese family and to evaluate the functional impact of a deep intronic COL5A1 variant using a minigene assay. The genetic analysis was performed using medical whole-exome sequencing, covering 5,398 genes associated with human genetic diseases. A candidate variant was prioritized based on its segregation and potential effect on splicing. To confirm functional effects, wild-type and mutant minigene constructs were created and transfected into HEK293T cells. RT-PCR and sequencing were used to analyze splicing products. A heterozygous intronic COL5A1 variant (NM_000093.5: c.1774–95 C > T) was found in both the proband and her father, but not in the mother. Clinically, affected individuals showed features typical of classic Ehlers-Danlos syndrome (cEDS), including hyperextensible skin, atrophic scars, easy bruising, and joint hypermobility. Functional minigene assays demonstrated that the variant causes abnormal splicing, leading to pseudoexon inclusion, a frameshift (p.Gly592CysfsTer2), and the production of a truncated protein. Our findings provide functional evidence that the deep intronic COL5A1 variant c.1774–95 C > T disrupts normal splicing and is likely pathogenic in cEDS. This discovery broadens the mutational range of COL5A1, highlights the diagnostic value of deep intronic variants, and points to a possible therapeutic target for splice-modulating strategies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-31
DOI
https://doi.org/10.1038/s41598-026-46346-8
Primary Topic
Connective tissue disorders research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel deep intronic COL5A1 variant in an Ehlers-Danlos syndrome family: functional characterization by minigene assay

Jingjing Feng, Jie Zhao
Scientific Reports
Connective tissue disorders research
article

A novel deep intronic COL5A1 variant in an Ehlers-Danlos syndrome family: functional characterization by minigene assay

Jingjing Feng, Jie Zhao
article en

Abstract

This study aimed to identify the genetic cause of Ehlers-Danlos syndrome (EDS) in a Chinese family and to evaluate the functional impact of a deep intronic COL5A1 variant using a minigene assay. The genetic analysis was performed using medical whole-exome sequencing, covering 5,398 genes associated with human genetic diseases. A candidate variant was prioritized based on its segregation and potential effect on splicing. To confirm functional effects, wild-type and mutant minigene constructs were created and transfected into HEK293T cells. RT-PCR and sequencing were used to analyze splicing products. A heterozygous intronic COL5A1 variant (NM_000093.5: c.1774–95 C > T) was found in both the proband and her father, but not in the mother. Clinically, affected individuals showed features typical of classic Ehlers-Danlos syndrome (cEDS), including hyperextensible skin, atrophic scars, easy bruising, and joint hypermobility. Functional minigene assays demonstrated that the variant causes abnormal splicing, leading to pseudoexon inclusion, a frameshift (p.Gly592CysfsTer2), and the production of a truncated protein. Our findings provide functional evidence that the deep intronic COL5A1 variant c.1774–95 C > T disrupts normal splicing and is likely pathogenic in cEDS. This discovery broadens the mutational range of COL5A1, highlights the diagnostic value of deep intronic variants, and points to a possible therapeutic target for splice-modulating strategies.

Scientific Reports
Qilu Hospital of Shandong University (CN)
Openalex Percentile: Top 9%
Connective tissue disorders research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.