Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.
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
9 authors.
Jeewoen ShinHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.ORCID 0009-0006-8084-6541
Jan BresslerHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.
Megan L GroveHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.
Michael BrownHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.ORCID 0000-0002-5235-9037
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-6923-7151
James S PankowDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.ORCID 0000-0001-7076-483X
Myriam FornageHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.
Alanna C MorrisonHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.ORCID 0000-0001-6381-4296
Chloé SarnowskiHuman Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, School of Public Health, TX, USA.ORCID 0000-0002-6090-7099
Funding
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
An Integrated Genetic and Epigenetic Approach to Cerebral Small Vessel DiseaseR01NS087541 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A., FORNAGE, MYRIAM · 2014 to 2017
$2.5M
Exploring Common Biological Pathways Underlying Insulin Resistance and Alzheimer Disease using Genetic and Omic ToolsR00AG066849 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SARNOWSKI, CHLOÉ · 2022 to 2024
Insulin resistance (IR) is a risk factor for cardiovascular diseases and type 2 diabetes. Associations between DNA methylation (DNAm) and IR have been less studied in African ancestry (AA) populations than those of European ancestry (EA). We aimed to identify associations between whole blood DNAm and IR in up to 1,811 AA and 964 EA participants from the Atherosclerosis Risk in Communities (ARIC) study. We quantified IR using three surrogate measures: the homeostasis model assessment of insulin resistance (HOMA-IR), the triglyceride-glucose index (TyG), and the triglyceride glucose-body mass index (TyG-BMI). We used ancestry-stratified linear regression models to conduct epigenome-wide association studies of IR, adjusting for batch effects and relevant covariates. Among 484,436 tested CpG sites, 39 were significantly associated with IR, of which 31% (10 in AA and two in EA) were associated with TyG-BMI and not previously reported for IR or related traits. These include a positive association at cg18335991-
Indexed as
AtherosclerosisDNA MethylationInsulin ResistanceAgedBiomarkersBlack or African AmericanBlood GlucoseBody Mass IndexCpG IslandsEpigenesis, GeneticFemaleHumansMaleMiddle AgedTriglyceridesWhiteBiomarkersBlood GlucoseTriglyceridesDNA methylationepigenome-wide association studyhomeostasis model assessment of insulin resistanceInsulin resistancetriglyceride glucose-body mass indextriglyceride-glucose index
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.
DNA methylation markers of insulin resistance surrogate measures in the Atherosclerosis Risk in Communities (ARIC) study. · full record | OpenQuestion