Evidence map›Paper›PMID 37850323›Full record

ArticleInternational journal of cancer2024

Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk.

Shuai Liu, Hua Zhong, Jingjing Zhu, Yong Wu, Youping Deng, Lang Wu

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2024. 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
0.7field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Exploring the Efficacy and Target Genes ofCurrent issues in molecular biology · 2025
    Article
  2. 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

6 authors at 2 institutions in 1 country.

Shuai LiuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Hua ZhongCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
Jingjing ZhuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0002-9691-6034
Yong WuDivision of Cancer Research and Training, Department of Internal Medicine, Charles Drew University of Medicine and Science, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Youping DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0002-5951-8213
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA.ORCID 0000-0001-9938-3627
University of Hawaiʻi at Mānoa · USCharles R. Drew University of Medicine and Science · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
University of Guam/Cancer Research Center of Hawaii Partnership (2 of 2)U54CA143728 · NCI · UNIVERSITY OF GUAM · PI Laura Biggs · 2009 to 2026
$20.1M
University of Guam/Cancer Research Center of Hawaii Partnership (1 of 2)U54CA143727 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI THADDEUS A HERZOG · 2009 to 2026
$19.1M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Alexandra Margaret Lynn Binder, Youping Deng · 2023 to 2026
$10.8M
Validation and Fine-Scale Mapping of Pancreatic Cancer Susceptibility Loci (Study)R01CA154823 · NCI · JOHNS HOPKINS UNIVERSITY · PI KLEIN, ALISON P · 2011 to 2020
$5.7M
The Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research (AIPrN)T32DK137523 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng, RACHEL NOVOTNY · 2023 to 2026
$1.7M
A novel metabolic reprograming strategy for the treatment of diabetes-associated breast cancerSC1GM135050 · NIGMS · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2020 to 2023
$1.4M
Mechanisms behind hyperglycemia-associated breast cancer risk and progressionSC1CA200517 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2015 to 2018
$1.4M
Cohort Study of Biochemical and Genetic Risk Factors for Pancreatic CancerK07CA140790 · NCI · DANA-FARBER CANCER INST · PI WOLPIN, BRIAN MATTHEW · 2009 to 2013
$890k
Uncovering roles of polyunsaturated fatty acids in pancreatic cancer etiologyR00CA218892 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI WU, LANG · 2019 to 2021
$747k
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS K07 CA140790NCI NIH HHS P30 CA071789NCI NIH HHS R00 CA218892NCI NIH HHS R01 CA154823NCI NIH HHS SC1 CA200517NCI NIH HHS U54 CA143727NCI NIH HHS U54 CA143728NHGRI NIH HHS U54 HG013243NHLBI NIH HHS HHSN268201100011INIDDK NIH HHS T32 DK137523NIGMS NIH HHS SC1 GM135050
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified two dozen genetic variants that are associated with the risk of pancreatic ductal adenocarcinoma (PDAC), a deadly malignancy. However, a majority of these variants are located in noncoding regions of the genome, which limits the translation of GWAS findings into clinical applications. The regulome-wide association study (RWAS) is a recently developed method for identifying TF binding-induced accessibility regions for diseases. However, their potential connection to PDAC has yet to be fully explored. We evaluated the associations between genetically predicted levels of chromatin accessibility and risk of PDAC by using pan-cancer chromatin accessibility genetic prediction models. Our analysis included 8275 cases and 6723 controls from the PanScan (I, II, and III) and PanC4 consortia. To further refine our results, we also integrated genes associated to allele-specific accessibility quantitative trait loci (as-aQTL) and TF motifs located in the as-aQTL. We found that 50 chromatin accessibility features were associated with PDAC risk at a false discovery rate (FDR) of less than 0.05. A total of 28 RWAS peaks were identified as conditionally significant. By integrating the results from as-aQTL, motif analysis, and RWAS, we identified candidate causal regulatory elements for two potential chromatin accessibility regions (THCA_89956 and ESCA_89167) that are associated with PDAC risk. Our study identified chromatin accessibility features in noncoding genomic regions that are associated with PDAC risk. We also predicted the associated genes and disrupt motifs. Our findings provide new insights into the regulatory mechanisms of noncoding regions for pancreatic tumorigenesis.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsChromatinGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPancreasPolymorphism, Single NucleotideChromatingeneticspancreatic cancer riskregulome-wide association study

Identifiers

PMID37850323
PMCPMC10842605
OpenAlexW4387729659

What OpenQuestion holds

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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 OpenQuestion graph.