In one paragraphArticle in Circulation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
21 authors.
Shuai YuanCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0001-5055-5627 Michael G ClarkDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (S.Y., M.G.C., G.S., R.J., S.M.D.).
Gabrielle ShaktCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0009-0001-9599-6351 Michael G LevinCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0002-9937-9932 Katherine HartmannCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0002-1465-9653 Renae JudyCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0003-0915-2222 Tia DinataleVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Heath Care System, Salt Lake City, UT (T.D., A.V., J.A.L.).
Amy VoorheesVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Heath Care System, Salt Lake City, UT (T.D., A.V., J.A.L.).
Julie A LynchVA Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Heath Care System, Salt Lake City, UT (T.D., A.V., J.A.L.).ORCID 0000-0003-0108-2127 Saiju PyarajanCenter for Data and Computational Sciences, VA Boston Healthcare System, Boston, MA (S.P.).ORCID 0000-0002-9047-3762 Roby JoehanesDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (S.Y., M.G.C., G.S., R.J., S.M.D.).ORCID 0000-0001-5549-9054 Kyong-Mi ChangCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0001-6811-9364 Jennifer A BrodyCardiovascular Health Research Unit, Departments of Medicine, University of Washington, Seattle, WA (J.A.B., J.C.B., B.M.P.).ORCID 0000-0001-8509-148X Joshua C BisCardiovascular Health Research Unit, Departments of Medicine, University of Washington, Seattle, WA (J.A.B., J.C.B., B.M.P.).ORCID 0000-0002-3409-1110 Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, University of Washington, Seattle, WA (J.A.B., J.C.B., B.M.P.).ORCID 0000-0002-7278-2190 Benjamin F VoightCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).
Scott M DamrauerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.Y., G.S., M.G.L., K.H., R.J., K.-M.C., B.F.V., S.M.D.).ORCID 0000-0001-8009-1632 VA Million Veteran Program
Funding
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8MStudies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5MExceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5MCHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5MRare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9MCARDIOVASCULAR HEALTH STUDY (CHS) - TASK AREA C, STUDY CLOSEOUT75N92021D00006 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE · 2021 to 2024
$8.4MCHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6MRare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6MProspective meta-analyses of drug-gene interactions: CHARGE GWAS consortiumR01HL103612 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2011 to 2014
$5.4MWGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1MCHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6MRESEARCH TRACK RADIOLOGY RESIDENCYT32EB004311 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Terence P Gade, Misun Hwang · 2005 to 2026
$4.5MAmerican Heart Association-American Stroke Association 24POST1189614BLRD VA I01 BX003362BLRD VA IK2 BX006551HSRD VA SDR 02-237NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL166991NHLBI NIH HHS R01 HL172803NHLBI NIH HHS R01 HL181587NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIBIB NIH HHS T32 EB004311NIEHS NIH HHS HHSN268201600032C
6 · The paper itselfAbstract
backgroundEpigenetic mechanisms underlying susceptibility to abdominal aortic aneurysm (AAA) remain poorly understood. Identifying causal DNA methylation markers for AAA can elucidate the regulatory processes that drive aneurysm formation and accelerate translational applications. We leveraged the Veterans Affairs (VA) Million Veteran Program to identify methylation biomarkers and delineate underlying pathways.
methodsWe first conducted an epigenome-wide association study of incident AAA (1324 cases and 42 065 noncases), performed stratified analyses by population group and smoking status, and conducted Mendelian randomization to facilitate causal inference of the CpG-AAA association. Chromatin state, island context, and transcription factor binding were implicated through functional annotation of identified CpGs. To identify genes impacted by change in methylation state, we aligned associations with transcriptional data obtained in blood, aorta, and liver. We performed expression quantitative trait methylation to capture CpG-gene-expression links across the genome. Network Mendelian randomization was used to test cardiometabolic and inflammatory mediation. Finally, we developed a methylation risk score for AAA using penalized regression and evaluated its performance against a clinical model in the Million Veteran Program and 2 external studies.
resultsEpigenome-wide association study identified 1253 CpGs associated with incident AAA, and Mendelian randomization supported a putative causal role for 143 of these associations. Functional annotation pointed to predominantly distal, enhancer-centered regulation and enrichment of inflammatory transcription factor programs (eg, activator protein-1 and nuclear factor κB). This distal architecture was consistent with expression quantitative trait methylation results, which showed a larger number of trans associations. Among 143 CpGs associated with AAA in Mendelian randomization analyses, we identified 213 CpG-gene expression pairs with strong colocalization support, including
conclusionsThis study identified putative causal DNA methylation markers for AAA, and multi-omics analyses implicate activator protein-1-linked inflammatory transcriptional programs, blood lipids, and multiple inflammation-related proteins as key pathways underlying methylation-associated AAA risk.
Indexed as
abdominal aortic aneurysmDNA methylationepigeneticsmechanismprediction
Identifiers
PMID42808173
PMCPMC13629486
What OpenQuestion holds
Textmetadata
Read underepoch 390