Department of Psychiatry and Behavioral Sciences, University of Kansas Medical Center, 3901 Rainbow Blvd., MS-4015, Kansas City, KS, 66160, USA.
Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KS, USA.
BMC Med Genomics. 2022 Aug 2;15(1):169. doi: 10.1186/s12920-022-01321-w.
Heritable connective tissue disorders (HCTDs) consist of heterogeneous syndromes. The diagnosis of HCTDs is aided by genomic biotechnologies (e.g., next-generation sequencing panels) facilitating the discovery of novel variants causing disease.
Detailed clinical exam data and CLIA-approved genetic testing results from next generation sequencing of 74 genes known to play a role in HCTDs were manually reviewed and analyzed in one hundred consecutive, unrelated patients with phenotypic features indicative of a HCTD referred over a 3.5-year period (2016-2020) to a specialized academic genetics clinic. The prevalence of symptoms was evaluated in the context of genetic variants. We also determined if symptoms among different organ systems were related and performed latent class analysis to identify distinct groups of patients based on symptomatology.
In the cohort of 100 consecutive, unrelated individuals there were four pathogenic, six likely pathogenic and 35 classified potentially pathogenic variants of unknown clinical significance. Patients with potentially pathogenic variants exhibited similar symptom profiles when compared to patients with pathogenic/likely pathogenic variants in the same genes. Although results did not meet a multiple testing corrected threshold, patients with connective tissue symptoms had suggestive evidence of increased odds of having skin (odds ratio 2.18, 95% confidence interval 1.12 to 4.24) and eye symptoms (odds ratio 1.89, 95% confidence interval 0.98 to 3.66) requiring further studies. The best performing latent class analysis results were identified when dividing the dataset into three distinct groups based on age, gender and presence or absence of symptoms in the skeletal, connective tissue, nervous, gastrointestinal and cardiovascular systems. These distinct classes of patients included individuals with: (1) minimal skeletal symptoms, (2) more skeletal but fewer connective tissue, nervous or gastrointestinal symptoms and (3) more nervous system symptoms.
We used novel approaches to characterize phenotype-genotype relationships, including pinpointing potentially pathogenic variants, and detecting unique symptom profiles in patients with features of HCTDs. This study may guide future diagnosis and disease/organ system monitoring with continued improvement and surveillance by clinicians for patients and their families.
遗传性结缔组织疾病(HCTD)由多种综合征组成。基因组生物技术(例如下一代测序面板)有助于发现导致疾病的新型变体,从而辅助 HCTD 的诊断。
对 74 个已知在 HCTD 中起作用的基因进行下一代测序的详细临床检查数据和 CLIA 批准的遗传检测结果进行了手动审查和分析,这些数据来自 100 名连续的、无关联的患者,这些患者在 3.5 年期间(2016 年至 2020 年)因具有遗传性结缔组织疾病的表型特征而被转诊至专门的学术遗传学诊所,这些患者的临床症状表现为各种遗传性结缔组织疾病。根据遗传变异评估了症状的普遍性。我们还确定了不同器官系统之间的症状是否相关,并进行潜在类别分析,根据症状学确定不同的患者群体。
在这 100 名连续的、无关联的个体中,有 4 个致病性、6 个可能致病性和 35 个分类为具有未知临床意义的潜在致病性变体。与同一基因中的致病性/可能致病性变体的患者相比,具有潜在致病性变体的患者表现出相似的症状谱。尽管结果未达到多重测试校正的阈值,但具有结缔组织症状的患者具有增加皮肤(比值比 2.18,95%置信区间 1.12 至 4.24)和眼部症状(比值比 1.89,95%置信区间 0.98 至 3.66)的可能性的提示性证据,需要进一步研究。当根据年龄、性别以及骨骼、结缔组织、神经、胃肠道和心血管系统中症状的存在或不存在将数据集分为三组时,识别出最佳的潜在类别分析结果。这些不同的患者类别包括:(1)骨骼症状最小的患者,(2)骨骼症状更多但结缔组织、神经或胃肠道症状更少的患者,(3)神经系统症状更多的患者。
我们使用新方法来描述表型-基因型关系,包括确定潜在致病性变体,并在具有 HCTD 特征的患者中检测到独特的症状谱。该研究可能指导未来的诊断和疾病/器官系统监测,随着临床医生对患者及其家属的持续改进和监测,这种方法可能会不断得到改进。