期刊
INTERNATIONAL JOURNAL OF LEGAL MEDICINE
卷 132, 期 5, 页码 1273-1280出版社
SPRINGER
DOI: 10.1007/s00414-018-1890-9
关键词
Acute aortic dissection; Next-generation sequencing; Genetic diagnosis; Diagnostic yield
资金
- National Key R&D Program of China [2017YFC0803502]
- Key Program from the National Natural Science Foundation of China [81430046]
- Sun Yat-sen University [17ykzd03]
Acute aortic dissection (AAD) is a clinically silent, but emergent and life-threatening cardiovascular disease, and hereditary factors play an important etiologic role in the development of AAD. The purposes of this study are to definitize the diagnostic yield of 59 AAD patients, investigate the molecular pathological spectrum of AAD by NGS, and explore the future preclinical prospects of genetic diagnosis on AAD high-risk groups. We performed next-generation sequencing (NGS) based on screening of the 69 currently aortic dissections/aneurysms-associated genes on 59 sporadic AAD samples from South China. A Kaplan-Meier survival curve was constructed to compare the event-free survival depending on variant number. Overall, 67 variants were detected in 39 patients, among which 4 patients were identified with pathogenic variants and 13 patients were diagnosed with likely pathogenic variants. Seventeen genotype positive patients were identified in aggregate, and the diagnostic yield of our study is 28.8%. All genotype-positive variants were distributed in 11 genes, FBN1 variants were in the largest number among genotype-positive variants, which were detected for 4 times, ACTA2 for 3 times, ABCC6 and TGFBR1 twice, and NOS3, MYLK, XYLT1, TIMP4, TGFBR2, CNTN3, and PON1 once. Individuals with three or more variants showed shorter mean event-free survival than patients with fewer variants. Our observations broaden the genetic pathological spectrum of AAD. Furthermore, our research uncovered two susceptibility genes FBN1 and ACTA2 for Stanford type A AAD patients. Finally, our study concluded that the number of variants an individual harbored was an important consideration in risk stratification for individualized prediction and disease diagnosis.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据