Systematic review of genome-wide association studies of abdominal aortic aneurysm

Singh, Tejas P., Field, Matt A., Bown, Matthew J., Jones, Gregory T., and Golledge, Jonathan (2021) Systematic review of genome-wide association studies of abdominal aortic aneurysm. Atherosclerosis, 327. pp. 39-48.

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Abstract

Background and aims: Abdominal aortic aneurysm (AAA) is an important cause of death worldwide and has an estimated heritability between 70 and 77%. Genome-wide association studies (GWAS) are an established way to discover genetic risk variants. The aim of this study was to systematically review the findings and quality of previous AAA GWAS.

Methods: The Medline, PubMed, Web of Science and relevant genetic databases were searched to identify previous AAA GWAS. A framework was developed to grade the methodological quality of the GWAS. Data from included studies were extracted to assess methods and findings.

Results: Eight case-control studies were included. Thirty-three of the 38 total single nucleotide polymorphisms (SNPs) previously reported were associated with AAA diagnosis at genome-wide significance (p < 5.0 × 10−8). The CDKN2B antisense RNA-1 gene had the most significant association with AAA diagnosis (p = 6.94 × 10−29 and p = 1.54 × 10−33 for rs4007642 and rs10757274 respectively). Age, sex and smoking history were not reported for the complete cohort in any of the included studies, although five of the eight studies adjusted or matched for at least two confounding variables. All included studies had important design limitations including lack of sample size estimation, inconsistent case and control ascertainment and limited phenotyping of the AAAs. AAA growth was assessed in one GWAS, however, no significant associations with the reported SNPs were found.

Conclusions: This systematic review identified 33 SNPs associated with AAA diagnosis at genome-wide significance previously validated in multiple cohorts. The association between SNPs and AAA growth was not adequately examined. Previous GWAS have a number of design limitations.

Item ID: 72411
Item Type: Article (Research - C1)
ISSN: 1879-1484
Keywords: Vascular biology; Genetics; Bioinformatics; Genetic association study; Genome-wide; Association study
Copyright Information: © 2021 Published by Elsevier B.V
Funders: National Health and Medical Research Council (NHMRC)
Projects and Grants: NHMRC Practitioner Fellowship 1117061
Date Deposited: 15 Feb 2022 06:11
FoR Codes: 31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310206 Sequence analysis @ 100%
SEO Codes: 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 100%
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