Evidence map›Paper›PMID 42265390›Full record

ArticleCommunications biology2026

Identification of DNA methylation signatures of smoking in women and associations with cardiovascular disease mortality.

Dennis Khodasevich, Aladdin H Shadyab, Adam X Maihofer, Caroline M Nievergelt, Robert Wallace, Lisa W Martin, Anne K Bozack, Rosemarie de la Rosa, Marcia L Stefanick, Nora Franceschini and 1 more

Abstract read
In one paragraph

Article in Communications biology, 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Dennis KhodasevichDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA. denkhod@stanford.edu.ORCID http://orcid.org/0000-0003-1412-8251
Aladdin H ShadyabHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Adam X MaihoferDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Caroline M NievergeltDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-5766-8923
Robert WallaceEpidemiology and Internal Medicine, College of Public Health, University of Iowa, Iowa City, IA, USA.
Lisa W MartinDivision of Cardiology, Department of Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA.ORCID http://orcid.org/0000-0003-4352-0914
Anne K BozackDepartment of Population Health, Grossman School of Medicine, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0003-0046-5767
Rosemarie de la RosaDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
Marcia L StefanickDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nora FranceschiniDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.ORCID http://orcid.org/0009-0001-8346-3662
Andres CardenasDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0003-2284-3298

Funding

Epigenetic biomarkers of cardiovascular risk in African American WomenR01HL175681 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Andres Cardenas, Nora Franceschini · 2024 to 2026
$1.2M
Epigenetic Aging Biomarkers of Mild Cognitive Impairment, Alzheimer's Disease and Related Dementias, and Brain AgingR01AG074345 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHADYAB, ALADDIN · 2024 to 2025
$1.1M
Programming of Epigenetic Clocks and Biomarkers from Early-life Arsenic ExposureR21ES035517 · NIEHS · STANFORD UNIVERSITY · PI CARDENAS, ANDRES, DE LA ROSA, ROSEMARIE · 2023 to 2024
$441k
BLRD VA IK2 BX006536NHLBI NIH HHS R01 HL175681NIA NIH HHS R01 AG074345NIEHS NIH HHS R21 ES035517U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL175681U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) R21ES035517U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG074345
6 · The paper itself

Abstract

Tobacco smoking is critical risk factor for cardiovascular disease (CVD) and mortality, with epigenetics implicated as a key biological mechanism. Smoking disproportionately impacts CVD risk in women; however, limited research has examined smoking-associated DNA methylation (DNAm) changes in women. We measure whole blood DNAm (EPICv2) and self-reported smoking (three-category, pack-years, and years since cessation) via questionnaires in 6,005 Women's Health Initiative Memory Study participants. We perform epigenome-wide association studies and develop epigenetic predictors of each smoking phenotype, and compare DNAm and self-reported pack-years for CVD-related and all-cause mortality prediction. Here we find 20,388 FDR-significant sites related to current smoking, 2149 for former smoking, 14,709 for pack-years, and 753 for smoking cessation. The epigenetic predictors of smoking activity are highly correlated with their respective phenotypes and DNAm pack-years outperforms self-reported pack-years in mortality prediction. We report robust validation of previous findings, novel smoking associations in women, and introduce epigenetic predictors of smoking activity.

Indexed as

Cardiovascular DiseasesDNA MethylationSmokingAgedEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansMiddle AgedPhenotypeRisk Factors

Identifiers

PMID42265390
PMCPMC13590591

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.