PubMed HealthSearch

PubMed · 42663026

[Genetic analysis of a fetus with Short-rib thoracic dysplasia 8 with or without polydactyly due to variants of DYNC2I1 gene].

Abstract

OBJECTIVE: To investigate the clinical characteristics of a fetus with Short-rib thoracic dysplasia 8 with or without polydactyly (SRTD8) due to variants of DYNC2I1 gene. METHODS: A fetus identified to have short ribs, short long bones, and narrow thorax at 26+1 weeks of gestation at the Women and Children's Hospital of Ningbo University in September 2024 was selected as study subject. The fetus underwent termination of pregnancy at 35+5 weeks of gestation. Clinical data of the fetus were retrospectively collected. Whole exome sequencing (WES) was carried out on fetal tissue, and candidate variants were validated by Sanger sequencing. Difference between the wild type and variant DYNC2I1 proteins was analyzed using AlphaFold v3.0.1 and PyMOL v2.5.6 software. Pathogenicity of the variant was rated based on guidelines from the American College of Medical Genetics and Genomics (ACMG). Using keywords such as "DYNC2I1 gene", previous literature on patients due to biallelic DYNC2I1 gene variants were retrieved from the PubMed databases, CNKI, and Wanfang Data Knowledge Service Platform, and the genetic variant and clinical phenotypes of patients were analyzed. The literature retrieval time was set from the establishment of database to December 31, 2025. This study was approved by the Medical Ethics Committee of the hospital (Ethics No.: 2023-094). RESULTS: Prenatal ultrasound revealed that the fetus had short ribs, short long bones, and narrow thorax at 26+1 gestational weeks. WES and Sanger sequencing revealed that the fetus has harbored compound heterozygous variants of the DYNC2I1 gene, namely c.265_268 (p.Gln89GlyfsTer15) in exon 3 and c.1777C>T (p.Arg593Trp) in exon 14, which were inherited from his father and mother, respectively. Prediction of the DYNC2I1 protein structure suggested that the c.265_268del variant has formed a premature termination codon, which may significantly alter the protein's secondary structure. The c.1777C>T variant may disrupt the electrostatic interaction between Arg593 and Asp729. Based on the ACMG guidelines, the c.265_268del (p.Gln89GlyfsTer15) variant was predicted to be likely pathogenic (PM2_Supporting +PVS1), whilst the c.1777C>T(p.Arg593Trp) variant was rated as uncertain significance (PM2_Supporting+PM3+PP4). Literature search has identified five articles related to biallelic DYNC2I1 variants involving a total of 11 fetuses/patients. Together with the fetus from this study, typical phenotypes included short ribs (6 cases), narrow thorax (6 cases), short limb bones (6 cases), and hand polydactyly (6 cases), and foot polydactyly (5 cases), albeit with significant clinical heterogeneity. A total of 12 genetic variants were identified, among which c.44delC was the most common (16.7%, 4/24), followed by c.1777C>T, c.2246C>T, and c.2305G>A (each accounting for 12.5%). No mutational hotspot was identified. CONCLUSION: The c.265_268del (p.Gln89GlyfsTer15) and c.1777C>T (p.Arg593Trp) compound heterozygous variants of the DYNC2I1 gene probably underlay the pathogenesis of SRTD8 in this fetus. This study has enriched the mutational spectrum of the DYNC2I1 gene and facilitated etiological diagnosis and treatment of DYNC2I1-related diseases.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yingwen Liu, Chunxiao Han, Yuxin Zhang, Lulu Yan, Jiangyang Xue, Haibo Li. 2026-09-10. [Genetic analysis of a fetus with Short-rib thoracic dysplasia 8 with or without polydactyly due to variants of DYNC2I1 gene].. https://doi.org/10.3760/cma.j.cn511374-20250221-00099

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans