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Li S, Mei L, He C, Cai X, Wu H, Wu X, Liu Y, Feng Y, Song J. Identification of a family with van der Hoeve's syndrome harboring a novel COL1A1 mutation and generation of patient-derived iPSC lines and CRISPR/Cas9-corrected isogenic iPSCs. Hum Cell 2024; 37:817-831. [PMID: 38379122 DOI: 10.1007/s13577-024-01028-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/11/2024] [Indexed: 02/22/2024]
Abstract
Van der Hoeve's syndrome, also known as osteogenesis imperfecta (OI), is a genetic connective tissue disorder characterized by fragile, fracture-prone bone and hearing loss. The disease is caused by a gene mutation in one of the two type I collagen genes COL1A1 or COL1A2. In this study, we identified a novel frameshift mutation of the COL1A1 gene (c.1607delG) in a family with OI using whole-exome sequencing, bioinformatics analysis and Sanger sequencing. This mutation may lead to the deletion of a portion of exon 23 and the generation of a premature stop codon in the COL1A1 gene. To further investigate the impact of this mutation, we established two induced pluripotent stem cell (iPSC) lines from peripheral blood mononuclear cells of OI patients carrying a novel mutation in the COL1A1 gene. Osteoblasts (OB) derived from OI-iPSCs exhibited reduced production of type I collagen and diminished ability to differentiate into osteoblasts. Using a CRISPR-based homology-directed repair strategy, we corrected the OI disease-causing COL1A1 novel mutations in iPSCs generated from an affected individual. Our results demonstrated that the diminished expression of type I collagen and osteogenic potential were enhanced in OB induced from corrected OI-iPSCs compared to those from OI-iPSCs. Overall, our results provide new insights into the genetic basis of Van der Hoeve's syndrome and highlight the potential of iPSC technology for disease modeling and therapeutic development.
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Affiliation(s)
- SiJun Li
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Lingyun Mei
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Chufeng He
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Xinzhang Cai
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Hong Wu
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - XueWen Wu
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Yalan Liu
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China
- Clinical Research Center for Pharyngolaryngeal Diseases and Voice Disorders in Hunan Province, Changsha, Hunan, China
| | - Yong Feng
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Department of Otorhinolaryngology, The Affiliated Maternal and Child Health Hospital of Hunan Province, Hengyang Medical School, University of South China, Changsha, Hunan, China.
- MOE Key Lab of Rare Pediatric Diseases and Institute of Otorhinolaryngology, Head and Neck Surgery, University of South China, Changsha, Hunan, China.
| | - Jian Song
- Department of Otolaryngology-Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Otolaryngology Major Disease Research Key Laboratory of Hunan Province, Changsha, Hunan, China.
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Yu X, Luo X, Cai G, Xiao F. OSCAA: A two-dimensional Gaussian mixture model for copy number variation association analysis. Genet Epidemiol 2024. [PMID: 38533840 DOI: 10.1002/gepi.22558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 01/30/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024]
Abstract
Copy number variants (CNVs) are prevalent in the human genome and are found to have a profound effect on genomic organization and human diseases. Discovering disease-associated CNVs is critical for understanding the pathogenesis of diseases and aiding their diagnosis and treatment. However, traditional methods for assessing the association between CNVs and disease risks adopt a two-stage strategy conducting quantitative CNV measurements first and then testing for association, which may lead to biased association estimation and low statistical power, serving as a major barrier in routine genome-wide assessment of such variation. In this article, we developed One-Stage CNV-disease Association Analysis (OSCAA), a flexible algorithm to discover disease-associated CNVs for both quantitative and qualitative traits. OSCAA employs a two-dimensional Gaussian mixture model that is built upon the PCs from copy number intensities, accounting for technical biases in CNV detection while simultaneously testing for their effect on outcome traits. In OSCAA, CNVs are identified and their associations with disease risk are evaluated simultaneously in a single step, taking into account the uncertainty of CNV identification in the statistical model. Our simulations demonstrated that OSCAA outperformed the existing one-stage method and traditional two-stage methods by yielding a more accurate estimate of the CNV-disease association, especially for short CNVs or CNVs with weak signals. In conclusion, OSCAA is a powerful and flexible approach for CNV association testing with high sensitivity and specificity, which can be easily applied to different traits and clinical risk predictions.
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Affiliation(s)
- Xuanxuan Yu
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Xizhi Luo
- Data and Statistical Sciences, AbbVie Inc., North Chicago, Illinois, USA
| | - Guoshuai Cai
- Department of Surgery, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Feifei Xiao
- Department of Biostatistics, College of Public Health and Health Promotion & College of Medicine, University of Florida, Gainesville, Florida, USA
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