Panel-Based Next-Generation Sequencing for the Diagnosis of Cholestatic Genetic Liver Diseases: Clinical Utility and Challenges

胆汁淤积 进行性家族性肝内胆汁淤积症 医学 黄疸 新生儿胆汁淤积症 阿拉吉尔综合征 疾病 遗传异质性 基因检测 内科学 生物信息学 胃肠病学 基因 肝病 病理 表型 遗传学 生物 胆道闭锁 肝移植 移植
作者
Huey‐Ling Chen,Huei-Ying Li,Jia‐Feng Wu,Shang‐Hsin Wu,Hui‐Ling Chen,Yun-Liang Yang,Yu‐Hua Hsu,Bang‐Yu Liou,Mei‐Hwei Chang,Yen‐Hsuan Ni
出处
期刊:The Journal of Pediatrics [Elsevier]
卷期号:205: 153-159.e6 被引量:44
标识
DOI:10.1016/j.jpeds.2018.09.028
摘要

Objective

To test the application of a target enrichment next-generation sequencing (NGS) jaundice panel in genetic diagnosis of pediatric liver diseases.

Study design

We developed a capture-based target enrichment NGS jaundice panel containing 42 known disease-causing genes associated with jaundice or cholestasis and 10 pathway-related genes. During 2015-2017, 102 pediatric patients with various forms of cholestasis or idiopathic liver diseases were tested, including patients with initial diagnosis of cholestasis in infancy, progressive familial intrahepatic cholestasis, syndromic cholestasis, Wilson disease, and others.

Results

Of the 102 patients, 137 mutations/variants in 44 different genes were identified in 84 patients. The genetic disease diagnosis rate was 33 of 102 (32.4%). A total of 79 of 102 (77.5%) of patients had at least 1 heterozygous genetic variation. Those with progressive intrahepatic cholestasis or syndromic cholestasis in infancy had a diagnostic rate of 62.5%. Disease-causing mutations, including ATP8B1, ABCB11, ABCB4, ABCC2, TJP2, NR1H4 (FXR), JAG1, AKR1D1, CYP7B1, PKHD1, ATP7B, and SLC25A13, were identified. Nine patients had unpredicted genetic diagnosis with atypical phenotype or novel mutations in the investigational genes. We propose an NGS diagnosis classification categorizing patients into high (n = 24), moderate (n = 9), or weak (n = 25) levels of genotype–phenotype correlations to facilitate patient management.

Conclusions

This panel enabled high-throughput detection of genetic variants and disease diagnosis in patients with a long list of candidate causative genes. A NGS report with diagnosis classification may aid clinicians in data interpretation and patient management.
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