Loss‐Of‐Function CCM Gene Variants in Japanese Patients With Cerebral Cavernous Malformations

ABSTRACT Hereditary cerebral cavernous malformations (CCMs) are characterized by lesion multiplicity and the formation of de novo lesions, in contrast to sporadic forms. We performed sequencing analyses covering the known autosomal dominant loci CCM1/ KRIT1 , CCM2/ CCM2 ( Malcavernin ), and CCM3/ PDCD10 in 11 patients from eight families with CCMs. All patients had multiple lesions, and de novo lesions were observed in four patients (36.4%). Heterozygous loss‐of‐function variants were identified in seven families, including four variants of KRIT1 , two of CCM2 , and one of PDCD10 . Among them, c.1730 + 4_1730 + 7delAGTA in KRIT1 and c.609G>A (p.Lys203=) in CCM2 were putative splicing variants located outside the invariant GT/AG dinucleotides at the splice junction because AI‐based prediction tools indicated that both variants may disrupt normal splicing. In vitro splicing assays confirmed that the AI‐based predictions were correct, and the same aberrant splicing pattern was reproduced by reverse transcription PCR using tissue‐derived RNA for the c.609G>A variant in CCM2 . In one patient with numerous CCM lesions, whole‐genome sequencing was performed, which showed no abnormalities in the three known CCM loci, including deep intronic and structural variants. This may indicate the technological limitations of current bioinformatics analyses or the presence of a novel CCM gene.

Authors

Institutions

Publication Details

Journal
Clinical Genetics
Published
2026-09-24
DOI
https://doi.org/10.1111/cge.70253
Primary Topic
Vascular Malformations Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Loss‐Of‐Function CCM Gene Variants in Japanese Patients With Cerebral Cavernous Malformations

Taichi Ishiguro, Satoshi Tsutsumi, Kenko Azuma, Emi M. Nomura et al.
Clinical Genetics
Vascular Malformations Diagnosis and Treatment
article

Loss‐Of‐Function CCM Gene Variants in Japanese Patients With Cerebral Cavernous Malformations

Taichi Ishiguro, Satoshi Tsutsumi, Kenko Azuma, Emi M. Nomura, Kazutoshi Hashimoto, Takahiro Hori, Yuichi Kubota, Hiroyuki Akagawa, Yasunaga Yamamoto, Hidenori Ohbuchi
article en

Abstract

ABSTRACT Hereditary cerebral cavernous malformations (CCMs) are characterized by lesion multiplicity and the formation of de novo lesions, in contrast to sporadic forms. We performed sequencing analyses covering the known autosomal dominant loci CCM1/ KRIT1 , CCM2/ CCM2 ( Malcavernin ), and CCM3/ PDCD10 in 11 patients from eight families with CCMs. All patients had multiple lesions, and de novo lesions were observed in four patients (36.4%). Heterozygous loss‐of‐function variants were identified in seven families, including four variants of KRIT1 , two of CCM2 , and one of PDCD10 . Among them, c.1730 + 4_1730 + 7delAGTA in KRIT1 and c.609G>A (p.Lys203=) in CCM2 were putative splicing variants located outside the invariant GT/AG dinucleotides at the splice junction because AI‐based prediction tools indicated that both variants may disrupt normal splicing. In vitro splicing assays confirmed that the AI‐based predictions were correct, and the same aberrant splicing pattern was reproduced by reverse transcription PCR using tissue‐derived RNA for the c.609G>A variant in CCM2 . In one patient with numerous CCM lesions, whole‐genome sequencing was performed, which showed no abnormalities in the three known CCM loci, including deep intronic and structural variants. This may indicate the technological limitations of current bioinformatics analyses or the presence of a novel CCM gene.

Clinical Genetics
Obayashi (Japan) (JP), Okayama University (JP), Tokyo Women's Medical University Adachi Medical Center (JP), Tokyo Women's Medical University (JP), Juntendo University Urayasu Hospital (JP)
Openalex Percentile: Top 11%
Vascular Malformations Diagnosis and Treatment
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.