Evidence map›Paper›PMID 40170147›Full record

SynthesisBMC pregnancy and childbirth2025

Cross-ancestry genome-wide association study identifies new susceptibility genes for preeclampsia.

Yuping Shan, Hong Hu, Yijing Chu

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Yuping ShanDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Hong HuClinical Medicine, Nantong University, Nantong, China.
Yijing ChuDepartment of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, China. chuyijing@163.com.

Funding

National Natural Science Foundation of Shandong Province No.ZR2022QH101
6 · The paper itself

Abstract

backgroundPreeclampsia (PE) is a heterogeneous, multi-organ pregnancy disorder that poses a significant health burden globally, with its pathogenesis remaining unclear. This study aimed to identify novel susceptibility genes for PE through a cross-ancestry genome-wide association study (GWAS).

methodsWe performed meta-analysis to summarize the PE GWAS data from the United Kingdom, Finland, and Japan. Subsequently, the multi-ancestry sum of the single-effects model was used to perform cross-ancestry fine-mapping. The functional mapping and annotation (FUMA)-expression quantitative trait loci (eQTL) mapping method, transcriptome-wide association study (TWAS)- functional summary-based imputation (FUSION) method, genome-wide complex trait analysis (GCTA)-multivariate set-based association test (mBAT)-combo method, and polygenic priority score (PoPS) method were employed to screen for candidate genes. We utilized biomarker expression level imputation using summary-level statistics (BLISS), based on summary-level protein quantitative trait loci (pQTL) data, to conduct a multi-ancestry proteome-wide association study (PWAS) analysis, followed by candidate drug prediction.

resultsSix novel susceptibility genes associated with PE risk were identified: NPPA, SWAP70, NPR3, FGF5, REPIN1, and ACAA1. High expression of the NPPA and SWAP70 and low expression of the remaining genes were associated with a reduced risk of PE. Furthermore, we identified drugs that target NPPA, NPR3, and REPIN1.

conclusionsOur study identified NPPA, SWAP70, NPR3, FGF5, REPIN1, and ACAA1 as novel genes whose predicted expression was linked to the risk of PE, offering new insights into the genetic framework of this condition.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPre-EclampsiaFemaleFinlandHumansJapanPolymorphism, Single NucleotidePregnancyQuantitative Trait LociUnited KingdomDrug targetsGeneticsGenome-wide association studyPre-eclampsia

Identifiers

PMID40170147
PMCPMC11959822

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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.