Whole Exome Sequencing in Coronary Artery Ectasia

NCT ID: NCT06001957

Last Updated: 2023-08-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-03-23

Study Completion Date

2023-08-15

Brief Summary

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The goal of this observational study is to assess the role of the whole exome sequencing (WES) application in patients with giant coronary artery ectasia (CAE) with a high-risk of genetic background.

The main question it aims to answer are:

* the assessment of role of WES in CAE
* the detection of novel pathogenic mutations associated with CAE development

Detailed Description

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Coronary artery aneurysm and ectasia (CAAE) is defined as a dilation of the coronary artery by at least 1.5 times compared to the adjacent segment. The incidence of CAAE is reported in 0.3-5.3% of patients undergoing coronary angiography. Giant CAAE is a rare phenomenon characterized by a dilation of a coronary artery exceeding 2 to 4 centimeters and it was found only in 0.02% of patients undergoing coronary angiography.

The most common etiology of CAAE is atherosclerosis, followed by Kawasaki disease, infectious septic emboli, connective tissue disease and arteritis. Iatrogenic causes are less common.

There are few genetic reports on potential loci associated with CAAE. Meta-analysis of genome wide association studies performed in European and Japanese population of children with Kawasaki disease has identified ITPKC, FCGR2A, CASP3 and FAM167A genomic regions to be associated with susceptibility to develop CAAE. Furthermore, 9p21 variant has been linked with coexistence of coronary artery disease, cerebral artery aneurysms and aortic aneurysms, mainly due to suspected potential adverse vascular remodeling. Nevertheless, the direct association of specific genetic variants with CAAE formation, especially with those giants, has not been proven.

Therefore, the investigators aim to assess the role of the whole exome sequencing (WES) application in patients with giant coronary artery ectasia (CAE) with a high-risk of genetic background.

Conditions

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Coronary Ectasia Coronary Aneurysm

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

PROSPECTIVE

Study Groups

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Proband

Patient with extremely giant coronary artery ectasia (CAE) and positive family history

Whole exome sequencing

Intervention Type DIAGNOSTIC_TEST

Bioinformatic analysis of raw WES data and variants prioritization were performed as previously described.

Reads were aligned to the hg38 reference genome sequence and visualized by Integrative Genomic Viewer.

Interventions

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Whole exome sequencing

Bioinformatic analysis of raw WES data and variants prioritization were performed as previously described.

Reads were aligned to the hg38 reference genome sequence and visualized by Integrative Genomic Viewer.

Intervention Type DIAGNOSTIC_TEST

Other Intervention Names

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Genetic analysis

Eligibility Criteria

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Inclusion Criteria

* diagnosed giant coronary artery aneurysm and ectasia (CAAE)
* high risk of genetic background

Exclusion Criteria

* the lack of informed consent for whole exome sequencing (WES) analysis
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Medical University of Warsaw

OTHER

Sponsor Role collaborator

Poznan University of Medical Sciences

OTHER

Sponsor Role collaborator

Jagiellonian University

OTHER

Sponsor Role lead

Responsible Party

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Konrad Stępień

Principal Investigator, MD, Assistant

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Department of Coronary Disease and Heart Failure, John Paul II Hospital in Krakow, Jagiellonian University Medical College

Krakow, , Poland

Site Status

Countries

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Poland

Other Identifiers

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1072.6120.49.2022

Identifier Type: -

Identifier Source: org_study_id

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