Molecular Genetics & Genomic Medicine (Oct 2021)

Genetic testing and clinical relevance of patients with thoracic aortic aneurysm and dissection in northwestern China

  • Jinjie Li,
  • Liu Yang,
  • Yanjun Diao,
  • Lei Zhou,
  • Yijuan Xin,
  • Liqing Jiang,
  • Rui Li,
  • Juan Wang,
  • Weixun Duan,
  • Jiayun Liu

DOI
https://doi.org/10.1002/mgg3.1800
Journal volume & issue
Vol. 9, no. 10
pp. n/a – n/a

Abstract

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Abstract Background Thoracic aortic aneurysm and dissection (TAAD) is a life‐threatening pathology that remains a challenge worldwide. Up to 40% of TAAD cases are hereditary with complex heterogeneous genetic backgrounds. The purposes of this study were to determine the diagnostic rate of patients with TAAD, investigate the molecular pathologic spectrum of TAAD by next‐generation sequencing (NGS), and explore the future preclinical prospects of genetic diagnosis in patients at high ‐risk of study. Methods NGS was used to screen 15 genes associated with genetic TAAD in 212 patients from northwestern China. Clinical data of patients were gathered by electrocardiography, transthoracic echocardiography, and computed tomography. Results Of the 212 patients, 67 (31.60%) tested positive for a (likely) pathogenic variant, 42 (19.81%) had a variant of uncertain significance (VUS), and 103 (48.58%) had no variant (likely benign/benign/negative). A total of 135 reportable variants were detected in our test, among which 77 (57.04%) are first reported in this paper. A genotype–phenotype correlation of FBN1 was assessed, and the data showed that the patients with truncating and splicing mutations are more prone to developing severe aortic dissection than those with missense mutations, especially frameshift mutations (82.76% vs. 42.86%). In this study, 43 (20.28%) patients had a family history of sudden death or TAAD, whereas 132 (62.26%) did not (the remaining 37 were not available), and the positive rate of genetic testing was higher in TAAD patients with family history than in those without (76.74% vs. 18.94%). Conclusion Our study concludes that genetic variation is an important consideration in the risk stratification of individualized prediction and disease diagnosis.

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