Evidence map›Paper›PMID 34469433›Full record

ArticlePloS one2021

Identification of novel genetic susceptibility loci for thoracic and abdominal aortic aneurysms via genome-wide association study using the UK Biobank Cohort.

Tamara Ashvetiya, Sherry X Fan, Yi-Ju Chen, Charles H Williams, Jeffery R O'Connell, James A Perry, Charles C Hong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
0.1field-weighted citation impact, top 53% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 1 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Tamara AshvetiyaDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Sherry X FanDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Yi-Ju ChenDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Charles H WilliamsDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
Jeffery R O'ConnellDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.
James A PerryDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0001-5050-2074
Charles C HongDepartment of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-0424-8252
University of Maryland, Baltimore · US

Funding

The Nathan Schnaper Intern Program in Translational Cancer ResearchR25CA186872 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI BRET A HASSEL, Ian Robert Kleckner · 2015 to 2026
$3.0M
Chemical Genetic Analysis of Vertebrate DevelopmentR01GM118557 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HONG, CHARLES C · 2016 to 2019
$2.0M
High-performance mixed model toolset for integrative omics analysis of big dataU01HL137181 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI O'CONNELL, JEFFREY R · 2017 to 2019
$1.8M
Novel Approach to Enhance Myocardial Performance and Improve Heart Failure OutcomeR01HL135129 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HONG, CHARLES C · 2018 to 2021
$1.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCI NIH HHS R25 CA186872NHLBI NIH HHS R01 HL135129NHLBI NIH HHS U01 HL137181NIGMS NIH HHS R01 GM118557
6 · The paper itself

Abstract

backgroundThoracic aortic aneurysm (TAA) and abdominal aortic aneurysm (AAA) are known to have a strong genetic component. METHODS AND

resultsIn a genome-wide association study (GWAS) using the UK Biobank, we analyzed the genomes of 1,363 individuals with AAA compared to 27,260 age, ancestry, and sex-matched controls (1:20 case:control study design). A similar analysis was repeated for 435 individuals with TAA compared to 8,700 controls. Polymorphism with minor allele frequency (MAF) >0.5% were evaluated. We identified novel loci near LINC01021, ATOH8 and JAK2 genes that achieved genome-wide significance for AAA (p-value <5x10-8), in addition to three known loci. For TAA, three novel loci in CTNNA3, FRMD6 and MBP achieved genome-wide significance. There was no overlap in the genes associated with AAAs and TAAs. Additionally, we identified a linkage group of high-frequency variants (MAFs ~10%) encompassing FBN1, the causal gene for Marfan syndrome, which was associated with TAA. In FinnGen PheWeb, this FBN1 haplotype was associated with aortic dissection. Finally, we found that baseline bradycardia was associated with TAA, but not AAA.

conclusionsOur GWAS found that AAA and TAA were associated with distinct sets of genes, suggesting distinct underlying genetic architecture. We also found association between baseline bradycardia and TAA. These findings, including JAK2 association, offer plausible mechanistic and therapeutic insights. We also found a common FBN1 linkage group that is associated with TAA and aortic dissection in patients who do not have Marfan syndrome. These FBN1 variants suggest shared pathophysiology between Marfan disease and sporadic TAA.

Indexed as

Aortic Aneurysm, AbdominalAortic Aneurysm, ThoracicGenetic Predisposition to DiseaseGenome-Wide Association StudyAgedBiological Specimen BanksCase-Control StudiesCohort StudiesFemaleGene FrequencyGenetic LociHumansJanus Kinase 2MaleMiddle AgedPolymorphism, Single NucleotideJanus Kinase 2

Identifiers

PMID34469433
PMCPMC8409653
OpenAlexW3126794108

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.