Abdominal Aortic Aneurysm Genetic Associations: Mostly False? A Systematic Review and Meta-analysis. Issue 1 (January 2016)

• Record Type: Journal Article
• Authors: Bradley, D.T.; Badger, S.A.; McFarland, M.; Hughes, A.E.
• Is Part Of: European journal of vascular and endovascular surgery. Volume 51:Issue 1(2016:Jan.)
• Page Start: 64
• Page End: 75
• Publication Date: 2016-01
• Subjects: Abdominal aortic aneurysm -- Genetics -- Single nucleotide polymorphism; Blood-vessels -- Endoscopic surgery -- Periodicals; Blood-vessels -- Surgery -- Periodicals; Vascular Surgical Procedures -- Periodicals; Vascular Surgical Procedures -- methods -- Periodicals; Vaisseaux sanguins -- Chirurgie -- Périodiques; Vaisseaux sanguins -- Chirurgie endoscopique -- Périodiques; Blood-vessels -- Endoscopic surgery; Blood-vessels -- Surgery; Endoscopy; Electronic journals; Periodicals; Electronic journals; 617.413005
• DOI: 10.1016/j.ejvs.2015.09.006
• Languages: English
• ISSNs: 1078-5884

Abstract

Abstract : Objective/Background: Many associations between abdominal aortic aneurysm (AAA) and genetic polymorphisms have been reported. It is unclear which are genuine and which may be caused by type 1 errors, biases, and flexible study design. The objectives of the study were to identify associations supported by current evidence and to investigate the effect of study design on reporting associations. Methods: Data sources were MEDLINE, Embase, and Web of Science. Reports were dual-reviewed for relevance and inclusion against predefined criteria (studies of genetic polymorphisms and AAA risk). Study characteristics and data were extracted using an agreed tool and reports assessed for quality. Heterogeneity was assessed using I 2 and fixed- and random-effects meta-analyses were conducted for variants that were reported at least twice, if any had reported an association. Strength of evidence was assessed using a standard guideline. Results: Searches identified 467 unique articles, of which 97 were included. Of 97 studies, 63 reported at least one association. Of 92 studies that conducted multiple tests, only 27% corrected their analyses. In total, 263 genes were investigated, and associations were reported in polymorphisms in 87 genes. Associations in CDKN2BAS, SORT1, LRP1, IL6R, MMP3, AGTR1, ACE, and APOA1 were supported by meta-analyses. Conclusion: Uncorrected multiple testing and flexible study design (particularly testing many inheritance models and subgroups, and failure to check for Hardy–Weinberg equilibrium) contributed to apparently false associations being reported. Heterogeneity, possibly due to the case mix, geographical, temporal, and environmental variation between different studies, was evident. Polymorphisms in nine genes had strong or moderate support on the basis of the literature at this time. Suggestions are made for improving AAA genetics study design and conduct.