Evidence map›Paper›PMID 42069757›Full record

ArticleNature communications2026

Cell-free DNA fragmentomics for preeclampsia risk assessment.

Wenqiu Xu, Songchang Chen, Jia Li, Si Zhou, Yanning Yin, Zhixu Qiu, Jianguo Zhang, Cong Liu, Qiang Zhao, Gefei Xiao and 30 more

Abstract read
In one paragraph

Article in Nature communications, 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

40 authors.

Wenqiu Xu *Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.ORCID http://orcid.org/0009-0002-3905-1799
Songchang Chen *Institute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-6407-0556
Jia Li *Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Si Zhou *Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Yanning Yin *Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Zhixu QiuHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.ORCID http://orcid.org/0000-0003-1979-5272
Jianguo ZhangHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.ORCID http://orcid.org/0000-0003-0723-1701
Cong LiuInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Qiang ZhaoDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Gefei XiaoDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Yan ZhouInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Zhiguang ZhaoHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.ORCID http://orcid.org/0000-0002-0084-3783
Xiao ZhangHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.ORCID http://orcid.org/0009-0001-0858-1706
Wenzhi YangHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Yunfang WangHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Huiqin LiHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China.
Zhen YangBGI Genomics, Shenzhen, China.
Suihua FengDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Qun ZhangDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Weiping ChenDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Huahua LiDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Xiaohong RuanDepartment of Obstetrics and Gynecology, Jiangmen Central Hospital, Jiangmen, Guangdong province, China.
Hua LiDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Sufen ZhangDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Liqing HuDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Jie QinDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Wuyan HuangDepartment of Medical Genetics and Prenatal Diagnosis, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Zhongzhe LiDepartment of Prevention and Health Care, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong province, China.
Xianling CaoInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Xuanyou ZhouInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Naixin XuInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.
Dongxia HouInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Hong DongInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Jie WangInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Yaxian LiuInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Quanfu ZhangShenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong Province, China. szzhqf@126.com.ORCID http://orcid.org/0009-0008-6558-5077
Xiaohua WangInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China. wangxiaohua2222@163.com.ORCID http://orcid.org/0000-0002-6731-5547
Lijian ZhaoHebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Clin Lab, BGI Genomics, Shijiazhuang, China. zhaolijian@genomics.cn.ORCID http://orcid.org/0009-0000-0565-962X
Hefeng HuangInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China. huanghefg@hotmail.com.ORCID http://orcid.org/0000-0003-4344-8019
Chenming XuInstitute of Reproduction and Development, Shanghai Key Laboratory of Reproduction and Development, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China. chenming_xu2006@163.com.ORCID http://orcid.org/0000-0003-0433-8909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is a pregnancy-specific hypertensive disorder that could lead to serious maternal and fetal complications, yet early identification of women at risk remains challenging because reliable biomarkers are limited. Here we show that generating relatively stable cell-free DNA (cfDNA) fragmentomic metrics, including transcription start site (TSS) coverage, TSS score, and Gini coefficient, required 600 million whole-genome sequencing reads of plasma cfDNA. These metrics exhibited observable differences among genes with varying expression levels in blood cells and placental tissues. In a cohort of 1,058 pregnant women, cfDNA fragmentomics could distinguish pregnancies that subsequently developed PE. When integrated with maternal risk factors, predictive models in two independent test sets achieved mean area under the curves of 0.903 and 0.850 for early-onset and late-onset PE, respectively, with sensitivities of 0.731 and 0.607 at a 10% false positive rate. Importantly, these models also performed well in samples collected before or at 16 weeks of gestation, supporting the potential of cfDNA fragmentomics in early PE risk assessment.

Indexed as

Cell-Free Nucleic AcidsPre-EclampsiaAdultBiomarkersFemaleHumansPlacentaPregnancyRisk AssessmentRisk FactorsTranscription Initiation SiteWhole Genome SequencingBiomarkersCell-Free Nucleic Acids

Identifiers

PMID42069757
PMCPMC13342102

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