Differential Analysis of Pathogenic Variants in Thoracic Aortic Aneurysm and Dissection at Different Ages

<b><i>Objective:</i></b> To identify genetic variants associated with Stanford A thoracic aortic aneurysm and dissection (ATAAD) using whole-exome sequencing (WES) and analyze positive mutation rates among patients of different onset ages. <b><i>Methods:</i></b> WES was performed on 62 sporadic Chinese ATAAD patients (51-74 years old), and then grouped based on onset age together with 73 previously reported TAAD patients (19-50 years old): ≤35, 36-45, 46-55, and >55 years. The proportion of patients with pathogenic/likely pathogenic (P/LP) variants in TAAD causal genes was compared across groups. <b><i>Results:</i></b> The average onset age of the 62 patients was 57.66 years. Eight P/LP variants were identified (two novel, six previously described) in five known TAAD causal genes (<i>FBN1</i>, <i>SMAD3</i>, <i>TGFBR2</i>, <i>TGFB2</i>, and <i>MYLK</i>) in eight individuals. P/LP variant positive rates among patients across age groups were: 22.73% for ≤35 years, 32% for 36-45 years, 15.52% for 46-55 years, and 3.33% for >55 years. Significant differences (<i>p</i> = 0.0077) were observed between 36-45 and >55 years group. <b><i>Conclusions:</i></b> ATAAD patients aged 36-45 years old at diagnosis had a higher chance of having a P/LP variant and patients >55 years old had the lowest P/LP diagnostic rate. Therefore, gene screening in ATAAD patients ≤55 years old is key to improved diagnostic rate.

Authors

Institutions

Publication Details

Journal
Genetic Testing and Molecular Biomarkers
Published
2024-11-01
DOI
https://doi.org/10.1089/gtmb.2024.0139
Primary Topic
Aortic Disease and Treatment Approaches
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential Analysis of Pathogenic Variants in Thoracic Aortic Aneurysm and Dissection at Different Ages

Fei Leng, Shilei Luo, He Zhao, Jian Li et al.
Genetic Testing and Molecular Biomarkers
Aortic Disease and Treatment Approaches
article

Differential Analysis of Pathogenic Variants in Thoracic Aortic Aneurysm and Dissection at Different Ages

Fei Leng, Shilei Luo, He Zhao, Jian Li, Jun Guo, Qiaochu Wang
article en

Abstract

<b><i>Objective:</i></b> To identify genetic variants associated with Stanford A thoracic aortic aneurysm and dissection (ATAAD) using whole-exome sequencing (WES) and analyze positive mutation rates among patients of different onset ages. <b><i>Methods:</i></b> WES was performed on 62 sporadic Chinese ATAAD patients (51-74 years old), and then grouped based on onset age together with 73 previously reported TAAD patients (19-50 years old): ≤35, 36-45, 46-55, and >55 years. The proportion of patients with pathogenic/likely pathogenic (P/LP) variants in TAAD causal genes was compared across groups. <b><i>Results:</i></b> The average onset age of the 62 patients was 57.66 years. Eight P/LP variants were identified (two novel, six previously described) in five known TAAD causal genes (<i>FBN1</i>, <i>SMAD3</i>, <i>TGFBR2</i>, <i>TGFB2</i>, and <i>MYLK</i>) in eight individuals. P/LP variant positive rates among patients across age groups were: 22.73% for ≤35 years, 32% for 36-45 years, 15.52% for 46-55 years, and 3.33% for >55 years. Significant differences (<i>p</i> = 0.0077) were observed between 36-45 and >55 years group. <b><i>Conclusions:</i></b> ATAAD patients aged 36-45 years old at diagnosis had a higher chance of having a P/LP variant and patients >55 years old had the lowest P/LP diagnostic rate. Therefore, gene screening in ATAAD patients ≤55 years old is key to improved diagnostic rate.

Genetic Testing and Molecular BiomarkersVol. 28(11)
Zhengzhou Children's Hospital (CN), Beijing Anzhen Hospital (CN), Beijing Children’s Hospital (CN)
Openalex Percentile: Top 61%
Aortic Disease and Treatment Approaches
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.