Evidence map›Paper›PMID 41543303›Full record

ArticleGigaScience2026

Cord blood DNA methylation and cell-type composition are not significantly associated with severe preeclampsia after cell-type and clinical covariate adjustment.

Xiaotong Yang, Wenting Liu, Zhixin Mao, Yuheng Du, Cameron Lassiter, Fadhl M Alakwaa, Paula A Benny, Lana X Garmire

Abstract read
In one paragraph

Article in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Xiaotong YangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-8548-9954
Wenting LiuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0001-3120-794X
Zhixin MaoDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0005-2650-2062
Yuheng DuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6665-5892
Cameron LassiterEpidemiology, University of Hawaii Cancer Center, Honolulu, HI 96813, USA.ORCID 0000-0003-2712-783X
Fadhl M AlakwaaDepartment of Internal Medicine, Nephrology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-5349-7960
Paula A BennyDepartment of Obstetrics, Gynecology, and Women's Health, University of Hawaii, Honolulu, HI 96826, USA.ORCID 0000-0001-9118-915X
Lana X GarmireDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-4654-2126

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Biomedical Informatics and Data Science Training Program (BIDS-TP)T32GM141746 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ivo D Dinov, RYAN E MILLS · 2021 to 2026
$2.6M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
DR. EPS: Drug Repurposing for Extended Patient SurvivalR01LM012907 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2019 to 2022
$1.0M
NCI NIH HHS P30 CA071789NICHD NIH HHS R01 HD084633NIGMS NIH HHS T32GM141746NIH HHSNLM NIH HHS R01 LM012373NLM NIH HHS R01 LM012907
6 · The paper itself

Abstract

backgroundPreeclampsia is a severe pregnancy complication that threatens maternal and neonatal health and well-being. Previous studies on epigenome-wide association studies (EWAS) of preeclampsia produced inconsistent results in cord blood tissues, and one possible explanation is their failure to rigorously adjust for cell proportions, gestational age, or other necessary variables.

methodsHere, we calculated the DNA methylation changes in cord blood from newborns affected by preeclampsia, using a multi-ethnic cohort from the Hawaii population (24 cases, 38 controls). We comprehensively adjusted for variables, such as maternal age, body mass index, and parity, and estimated the cell proportions. We also re-analyzed 2 previous datasets with adjustments to estimated cell proportions and conducted a pooled analysis by merging all 3 datasets together to increase the statistical power (58 cases, 71 controls). Lastly, we included idiopathic preterm (preterm delivery with no known reasons) cord blood samples (n = 11) to disentangle the effect of severe preeclampsia and small gestational age.

resultsWe showed that after adjusting cell-type proportions and patient clinical characteristics, most of the so-called statistically significant CpG methylation changes associated with severe preeclampsia disappeared in our own data, 2 public datasets, and the pooled analysis combining all 3 datasets. This result still holds after including idiopathic preterm samples in the control group. Rather, we found that gestation progression is accompanied by statistically significant proportion changes in several cell types, such as granulocytes, nucleated red blood cells (nRBCs), CD8T cells, and B cells, which contribute to most DNA methylation differences between case and control groups. Preeclampsia has interactions on cell proportion changes in granulocytes, monocytes, and nRBCs.

conclusionsIn summary, our study shows that the previously reported differentially methylated patterns in cord blood are actually artifacts due to not properly adjusting for cell-type heterogeneity, gestational age, and clinical covariates. Severe preeclampsia is not associated with statistically significant DNA methylation changes but changes in cell proportion. This finding alerts to the scientific rigor needed in EWAS.

Indexed as

DNA MethylationFetal BloodPre-EclampsiaAdultCase-Control StudiesCpG IslandsEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansInfant, NewbornPregnancycell-type deconvolutioncord bloodDNA methylationepigenome-wide association studiespreeclampsiawomen’s health

Identifiers

PMID41543303
PMCPMC13014471

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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.