Evidence map›Paper›PMID 41174503›Full record

ArticleGenes & nutrition2025

Association of non-alcoholic fatty liver polygenic risk scores with the incident and progressive non-alcoholic fatty liver disease in Chinese population.

Yang Zhou, Di Zhou, Shuohua Chen, Chenlu Yang, Shutong Wu, Xiaomo Wang, Yanqi Lan, Ying Lu, Mengge Zhou, Shouling Wu and 2 more

Abstract read
In one paragraph

Article in Genes & nutrition, 2025. 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

12 authors.

Yang ZhouDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Di ZhouDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Shuohua ChenCardiology Department, Kailuan General Hospital, Tangshan, China.
Chenlu YangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Shutong WuDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xiaomo WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Yanqi LanDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Ying LuDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Mengge ZhouDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China.
Shouling Wu *Cardiology Department, Kailuan General Hospital, Tangshan, China. drwusl@163.com.
Man Li *Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong, 519000, China. liman26@mail.sysu.edu.cn.
Li Wang *Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences; School of Basic Medicine, Peking Union Medical College, Beijing, China. liwang@ibms.pumc.edu.cn.

Funding

Beijing Municipal Health Commission Capital Health Development Research Project 2022-1-2021National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82370593Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0508705
6 · The paper itself

Abstract

backgroundNonalcoholic fatty liver disease (NAFLD) is an escalating health concern, with genetic factors playing a substantial role. This study aimed to establish and validate a polygenic risk score for East Asian populations (PRS-EA).

methodsA meta-analysis of genome-wide association studies on NAFLD in East Asian populations was conducted to develop a PRS-EA model. This model was subsequently validated in the Kailuan cohort by exploring its association with NAFLD development and progression.

resultsA PRS-EA model involving four SNPs (rs2896019, rs3810622, rs58542926, and rs1260326) was constructed. Individuals with PRS-EA scores exceeding 2.33 were associated with a 53% (95% confidence interval, 3%-126%) increased risk of NAFLD development and 50% (95% confidence interval: 3%-120%) of NAFLD progression. A positive joint association was observed between higher PRS and lipid dysfunction in relation to NAFLD occurrence. Hypertension was found to amplify the association between higher PRS and NAFLD progression (hazard ratio: 3.07 vs. 1.22, P for interaction=0.015).

conclusionThis study developed a PRS model specific to East Asian populations, highlighting the potential utility of PRS-EA in assessing and managing NAFLD risk, particularly in individuals with lipid metabolic dysfunction and hypertension.

Indexed as

East asiaGene-environment interactionGenetic susceptibilityHepatic steatosisLipid metabolismMetabolic dysfunction

Identifiers

PMID41174503
PMCPMC12577390

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.