Whole-Exome Sequencing Analysis Identifies Risk Genes in Atlantoaxial Dislocation Patients with Sandwich Fusion

Gao, Guodong; Tian, Yinglun; Hung, Kan-Lin; Fan, Dongwei; Xu, Nanfang; Wang, Shenglin

doi:https://doi.org/10.1155/2024/5021689

Human Mutation

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Abstract Introduction Methods Results Discussion Conclusions Data Availability Ethical Approval Consent Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2024 | Article ID 5021689 | https://doi.org/10.1155/2024/5021689

Whole-Exome Sequencing Analysis Identifies Risk Genes in Atlantoaxial Dislocation Patients with Sandwich Fusion

Guodong Gao,¹Yinglun Tian,¹Kan-Lin Hung,¹Dongwei Fan,¹Nanfang Xu,¹and Shenglin Wang¹

Academic Editor: George P. Patrinos

Received26 Dec 2023

Revised19 Feb 2024

Accepted27 Feb 2024

Published12 Mar 2024

Abstract

Sandwich fusion of Klippel-Feil syndrome (KFS), which is a rare congenital disorder involving the fusion of cervical vertebrae, poses significant challenges in the diagnosis and treatment of atlantoaxial dislocation (AAD). While the disorder’s genetic basis is not well-understood, the rarity of the sandwich fusion makes it difficult to study. Whole-exome sequencing (WES) was conducted on 68 unrelated Chinese patients with sandwich fusion. The study compared their genetic data with a control group of 219 individuals without musculoskeletal disorders. Various analyses, including mutational burden assessments, were employed to identify potential pathogenic genes. The study identified significant genetic variations in patients with sandwich fusion, highlighting genes like KMT5A, HYDIN, and PCDHB4 as potential contributors. Notably, severe cases exhibited oligogenic effects, with mutations in genes like MEOX1 associated with the severity of spinal issues. These findings offer critical insights into the genetic basis of sandwich fusion and provide a foundation for future research and therapeutic development.

1. Introduction

Atlantoaxial dislocation (AAD) is a rare and potentially life-threatening anatomical disturbance of the craniovertebral junction, characterized by the loss of stability between the atlas (C1) and axis (C2) due to traumatic, inflammatory, idiopathic, or congenital abnormalities. This instability leads to dislocation of the normal joint, and if not promptly and appropriately treated, it may result in permanent central nervous system dysfunction, such as high quadriplegia [1]. One of the susceptible populations for AAD is the sandwich fusion anomaly, which refers to congenital spinal fusion affecting both C0-1 and C2-3 simultaneously, presenting a significantly increased risk of AAD and subsequent high cervical cord events [2, 3].

The sandwich anomaly represents a specific subtype of Klippel-Feil syndrome, a congenital disorder characterized primarily by segmental fusion of cervical vertebrae and diagnosed through radiographic imaging [4]. KFS has long been considered a rare disorder, with an estimated incidence of approximately 1 in 40,000 live births and a higher prevalence in female infants [5]. However, clinicians widely acknowledge the likelihood of underreporting in this data [6]. Clinical manifestations of KFS exhibit significant heterogeneity, ranging from isolated cervical spine fusion to associated anomalies in other organs or systems. Fusion sites may involve single or multiple fusions at various locations, including continuous long fusions [7]. The most common fusion sites are C2-3 and C5-6, with C2-3 fusion accounting for 74.1% of congenital cervical fusions [8]. The sandwich fusion, a distinctive subtype of KFS, concentrates compensatory stress between C1 and C2, making it highly prone to AAD, leading to spinal cord pathology and even concurrent cranial nerve disorders. Currently, there are no effective predictive tools or supportive therapies for sandwich fusion, making exploration of its pathogenic genetic mechanisms crucial for providing genetic counseling, reproductive decision-making, and developing targeted therapies and prognostic predictions. KFS exhibits high genetic heterogeneity, and its etiology remains incompletely understood, generally attributed to a multifactorial disease involving predominant genetic factors and environmental influences [9], possibly following an oligogenic inheritance pattern [10]. The widespread adoption of high-throughput sequencing technologies, coupled with the accumulation and exploration of clinical genetic resources, provides a pathway for investigating the genetic basis of sandwich fusion. Therefore, we conducted a WES analysis of 68 AAD patients with a genetic background of sandwich fusion, identifying rare genomic variations, and performed comparative analyses using exome data from a threefold number of healthy individuals.

2. Methods

2.1. Human Subject Recruitment and Demographic Data Collection

Between January 2016 and January 2022, patients with AAD undergoing orthopedic surgery at Peking University Third Hospital were invited to participate in genetic research if they had a genetic background predisposing them to sandwich fusion. A total of 68 patients with sandwich fusion were recruited, and clinical diagnoses were verified by two senior orthopedic physicians and one radiologist. Demographic information, detailed family medical history, physical examination results, clinical symptoms, and surgical details were collected. Radiological assessments included anteroposterior and lateral radiographs, preoperative and postoperative MRI evaluations of AAD, spinal cord compression, congenital fused vertebral segments, Samartzis classification of KFS, spinal deformities, and other associated anomalies. A total of 219 WES datasets of unrelated Chinese individuals without musculoskeletal or spinal disorders were selected as controls from Berry’s in-house database, with similar sex ratios and age distributions.

2.2. Whole-Exome Sequencing and Data Analysis

Informed consent was obtained from all patients and guardians of minors, and approval was obtained from the Peking University Third Hospital Medical Ethics Committee. Peripheral blood samples were collected from 68 unrelated patients with sandwich fusion during general anesthesia, and sequencing was performed on the Novaseq6000 platform (Illumina, San Diego, USA) in 150 bp paired-end reads mode by Berry Genomics Incorporated, China. After quality assessment, sequencing reads were aligned to the Human Genome 38 (hg38/GRCh38) by BWA software, and variants calling was by GATK software. Based on the American College of Medical Genetics and Genomics (ACMG) guidelines [11], further annotation and interpretation were conducted by ANNOVAR (http://annovar.openbioinformatics.org/en/latest/) and the Enliven Variants Annotation Interpretation System authorized by Berry Genomics, annotation databases mainly included gnomeAD (http://gnomad.broadinstitute.org/), the 1000 Genomes Project (http://browser.1000genomes.org), HGMD (http://www.hgmd.org), and HPO (https://hpo.jax.org/app/). Variant deleteriousness was provided by prediction algorithms in silico such as SIFT (http://sift.jcvi.org), MutationTaster (http://www.mutationtaster.org/), and CADD (http://cadd.gs.washington.edu). Minor allele frequency was the criterion of a rare variant, and Combined Annotation Dependent Depletion (CADD) predicted score of 15 or more was the criterion of a skeptically deleterious variant. Variant was considered to be diagnostic when its reported phenotypes aligned with clinical findings in this study as well as a consistent inheritance mode.

2.3. Statistical Analysis of Mutational Burden

A control group consisting of irrelevant 219 individuals without skeletal or spinal disorders underwent exome sequencing. Within the exomes, we compared the burden of all deleterious rare mutations () at the gene level between the patients group and the control group. The ranking of potential pathogenic genes was based on the odds ratio (OR values). Statistical analysis was conducted using SPSS 26.0 software, with Fisher’s exact test for comparing rates between the two groups, considering as statistically significant as well as recalculating adjusted values to make the results more credible.

3. Results

3.1. Clinical Characteristics and Demographic Information

The study included 68 unrelated individuals with sandwich fusion and 219 unrelated individuals without musculoskeletal disorders, and their detailed demographic information is presented in Table 1. In the case group, the average age at diagnosis was 44 years, with the majority of cases occurring between 36 and 60 years old. All 68 patients exhibited craniovertebral junction anomalies (C0-C1 fusion) and C2-C3 fusion, with C6-C7 being the most common fusion level besides these. Samartzis et al. [12] classified KFS into three types based on the continuity of the fused segments: type I (single fusion), type II (two or more noncontiguous fusions), and type III (two or more contiguous fusions). In this study, type II accounted for 85%, and type III accounted for 15%. All patients presented with AAD and basilar invagination. Other spinal and spinal cord anomalies included 18 cases of Chiari malformation, 16 cases of scoliosis, 11 cases of syringomyelia, 9 cases of torticollis, and 4 cases of os odontoideum. Additionally, 11.8% of patients with sandwich fusion exhibited cardiac or vascular morphological abnormalities, indicating a close association with congenital cardiovascular malformations [13].

3.2. Variants Searched in Reported KFS Causal Gene

There was no diagnostic variant found, and then we searched all genuine variants in 68 people for the presence of four reported KFS pathogenic genes [14–17] to search for potentially explicable pathogenic variants. The search results showed that, as shown in Table 2, the occurrence rate of these gene loci in sandwich fusion patients varied greatly, with the highest mutation frequency being MYO18B and the smallest mutation frequency being GDF6.

3.3. Genetic Burden Analysis between Cases and Controls

Methods such as next-generation sequencing and burden analysis based on high-throughput sequencing have been used to parse the underlying genetic mechanisms of rare skeletal diseases [18]. By comparing all rare variants with high pathogenic potential ( and CADD predictive ) between the case group () and the control group (), we calculated that, at the exon level, compared with the healthy control group, the mutant genes significantly enriched in the case group were KMT5A (), HYDIN (), and PCDHB4 () as shown in Table 3.

3.4. Individuals with Multiple Mutations and Potential Oligogenic Effects

We listed seven patients with severe clinical manifestations and analyzed their genetic mutations in detail. In these patients, we found complex mutations with multiple viable genes, including KMT5A, HYDIN, PODXL, MEOX1, and MYO18B, which may be the oligogenic effect of KFS [10]. Remarkably, they all carry a mutation in MEOX1. The splicing mutation c.1-19G>A was found in two patients, the splicing mutation c.420+133_420+151del was found in three patients, and the splicing mutation c.420+146T>A was observed in two patients. Some typical individuals who carry multiple mutations in these genes are listed in Table 4 separately with the CADD prediction score, and one of them gives her consent to demonstrate her imaging details in Figure 1.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

Figure 1

One 62-year-old woman (patient ID 22KAH0010) with quadriplegia carried multiple nonsynonymous mutations in MEOX1 and KMT5A. (a–d) the radiological imaging showed sandwich fusion that is occiput-atlas fusion combined with axis-C3 vertebra fusion. The areas pointed out by the red arrows in b are the fusion sites. (e, f) MRI showed AAD compressing the spinal cord as well as a huge syringomyelia where the red pentastars indicate. (g) Preoperative lateral X-ray films showed sandwich fusion, AAD, and swan neck deformity. (h) Postoperative lateral X-ray films showed atlantoaxial joint was in anatomical reduction.

4. Discussion

Klippel-Feil syndrome patients exhibit diverse clinical manifestations, and the most common fusion site is C2-C3 level (74.1%); sandwich fusion occurs if accompanied by atlanto-occipital ossification. It contributes to a higher risk of AAD and severe cervical spinal cord disease, emphasizing the importance of recognizing this specific subtype. Due to the loss of mobility at the fusion level, the compensatory stress is concentrated in the atlantoaxial joint and increases the stretch of the atlantoaxial cruciate ligament, thus accelerating its degeneration and increasing the risk of AAD in the long term [19]. Previous research comparing sandwich AAD patients with nonsandwich AAD patients revealed an earlier onset of disease, more severe neurological impairments, and a higher prevalence of other deformities. Additionally, anomalies in the vertebral artery and internal carotid artery, along with craniovertebral junction deformities, are prevalent in sandwich-type AAD patients, posing challenges for surgical treatment and resulting in poorer outcomes [20]. In this study, 68 cases of sandwich fusion patients queue statistics show that merge proportion (63.2%), scoliosis, spinal cord disease (23.6%), syringomyelia, and a high proportion (16.1%) once again confirmed that the sandwich fusion is a subtype of KFS with well-marked clinical features.

The genetic heterogeneity of KFS is another distinctive feature [9]. Currently, four pathogenic genes with inheritance patterns, GDF3 and GDF6 (autosomal dominant) and MEOX1 and MYO18B (autosomal recessive), have been identified in families with congenital cervical fusion. However, these genes only explain less than 10% of KFS cases. In this study, the seven individuals with severe sandwich fusion all carried nonsynonymous mutations in MEOX1 and KMT5A, suggesting a close association between these genes and the occurrence of sandwich fusion. MEOX1, a bHLH-type transcription factor involved in vertebral development, has been linked to vertebral defects in zebrafish and mice, exhibiting phenotypes similar to human KFS [21]. In this study, MEOX1 gene mutations were correlated with the severity of AAD, younger age of onset, and severity of cervical spinal cord disease, indicating a potential involvement of MEOX1 mutations in the pathogenesis of sandwich fusion.

Lysine methyltransferase 5A (KMT5A), also known as SET8, is located on the long arm of chromosome 12 (12q24.31). KMT5A catalyzes specific monomethylation of lysine 20 on histone H4, participating in various cellular processes such as gene transcription regulation, replication origin regulation, genome stability maintenance, and cell cycle regulation. Recent studies have linked KMT5A to various cancers, indicating its role in promoting gene expression and cell proliferation through signaling pathways like WNT and p53 [22]. Therefore, we reasonably speculate that dysfunction of KMT5A during embryonic development may lead to disturbances in craniovertebral junction development and abnormal spinal segmentation. The instability of KMT5A in these individuals may also make them more susceptible to tumorous diseases, warranting attention to preventive measures and monitoring.

Genetic diseases affecting the musculoskeletal system present high heterogeneity both clinically and genetically, complicating diagnosis and treatment. Genome-wide association studies (GWAS) have identified 463 genes associated with human skeletal disorders [23], but there is still limited research on many rare subtypes. Our study established the first genetic sequencing cohort for the sandwich fusion subtype of KFS, representing a sizable genetic cohort for KFS [10]. The findings provide crucial insights into the etiology, diagnostics, and therapeutics of this condition.

The main limitation of this study is the relatively small sample size of the discovery set, which is due to the rarity of sandwich fusion. Besides, single genes cannot fully explain the occurrence and pathology of this disease considering its genetic heterogeneity and complex associations with the pregnancy environment [24], and we have not been considered environmental factors in this study. Furthermore, all the genetic findings are not validated in the verification set or in experimental animal.

5. Conclusions

In summary, we constructed the first genetic sequencing cohort for the sandwich fusion anomaly and analyzed its genetic basis at the exome level, identifying several new disease-related genes and proposing a potential hypothesis. Though the findings contribute valuable information for the etiology of KFS, the rarity of sandwich fusion poses challenges in sample collection, and further research is required to comprehensively understand genetic and environmental factors.

Data Availability

Datasets are available from the corresponding author or browsed on the GSA website (https://ngdc.cncb.ac.cn/gsa/browse) by no. HRA005944.

Ethical Approval

This study was approved by the Peking University 3rd Hospital medical science research ethics committee (approval number A2021308).

Informed consent was obtained from adult participants included in the study. Written informed consent was obtained from the parents of all patients under 16 years of age.

Conflicts of Interest

We report no conflicts of interest.

Authors’ Contributions

Guodong Gao and Yinglun Tian conducted data analysis and drafted the manuscript, and they are co-first authors. Shenglin Wang conceived and designed the project and supported funding. Dongwei Fan and Nanfang Xu participated in patient management and data collection. Guodong Gao and Yinglun Tian contributed equally to this work.

Acknowledgments

We truly appreciate all the patients and their families who participated in the study, whose support is indispensable in our quest for medical advancements. In addition, we thank the nurses of Ward 4, Department of Orthopaedics, Peking University Third Hospital, for caring for patients and collecting samples. What is more, we would like to thank Berry Genomics Co., Ltd., Beijing, China, for providing an excellent sequencing platform and bioinformatics services. Finally, this study was supported by the Beijing Natural Science Foundation (Grant number 7222211) and the Peking University Third Hospital Clinical Cohort Construction Project (Grant number BYSYDL2021016).

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Copyright © 2024 Guodong Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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