Evidence map›Paper›PMID 35503778›Full record

ArticleHepatology communications2022

NAFLD polygenic risk score and risk of hepatocellular carcinoma in an East Asian population.

Claire E Thomas, Brenda Diergaarde, Allison L Kuipers, Jennifer J Adibi, Hung N Luu, Xuling Chang, Rajkumar Dorajoo, Chew-Kiat Heng, Chiea-Chuen Khor, Renwei Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

20 citing papers in PubMed, 29 citations in OpenAlex.

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  19. Genetic Variation ofInternational journal of molecular sciences · 2022
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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

13 authors at 4 institutions in 2 countries.

Claire E ThomasDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-9515-3277
Brenda DiergaardeUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3578-6547
Allison L KuipersDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1415-1742
Jennifer J AdibiDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-6562-8315
Hung N LuuDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-2172-1849
Xuling ChangDepartment of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7471-4768
Rajkumar DorajooGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.ORCID 0000-0001-6608-2051
Chew-Kiat HengDepartment of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-7309-9473
Chiea-Chuen KhorGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.ORCID 0000-0002-1128-4729
Renwei WangUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Aizhen JinHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-5674-6341
Jian-Min YuanDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-4620-3108
University of Pittsburgh · USAgency for Science, Technology and Research · SGNational University of Singapore · SGUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
Novel Determinants for Progression of Non-Alcoholic Fatty Liver Disease to Hepatocellular Carcinoma and Other Health OutcomesR01CA255809 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BEHARI, JAIDEEP, YUAN, JIAN-MIN · 2021 to 2025
$3.7M
Translational Research Training in Cancer Prevention and ControlT32CA186873 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kathryn H. Schmitz, Jian-Min Yuan · 2014 to 2026
$2.7M
The Singapore Chinese Health StudyU01CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2019 to 2019
$150k
NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA144034NCI NIH HHS R01 CA255809NCI NIH HHS T32 CA186873NCI NIH HHS U01 CA182876NCI NIH HHS UM1 CA182876NIH HHS P30 CA047904
6 · The paper itself

Abstract

It is difficult to identify people with nonalcoholic fatty liver disease (NAFLD) who are at high risk for developing hepatocellular carcinoma (HCC). A polygenic risk score (PRS) for hepatic fat (HFC-PRS) derived from non-Asians has been reported to be associated with HCC risk in European populations. However, population-level data of this risk in Asian populations are lacking. Utilizing resources from 24,333 participants of the Singapore Chinese Health Study (SCHS), we examined the relationship between the HFC-PRS and HCC risk. In addition, we constructed and evaluated a NAFLD-related PRS (NAFLD-PRS) with HCC risk in the SCHS. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of HCC incidence with both HFC-PRS and NAFLD-PRS. The HFC-PRS and NAFLD-PRS were highly correlated (Spearman r = 0.79, p < 0.001). The highest quartiles of both the HFC-PRS and the NAFLD-PRS were associated with significantly increased risk of HCC with HR of 2.39 (95% CI 1.51, 3.78) and 1.77 (95% CI 1.15, 2.73), respectively, compared with their respective lowest quartile. Conclusion: The PRS for hepatic fat content or NAFLD may be useful for assessing HCC risk in both Asian and European populations. The findings of this and prior studies support a potential causal role of genetically determined NAFLD in HCC development.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseHumansRisk Factors

Identifiers

PMID35503778
PMCPMC9426386
OpenAlexW4225412113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.