Evidence map›Paper›PMID 42203843›Full record

ArticleNPJ precision oncology2026

Polygenic scores for risk of pancreatic ductal adenocarcinoma: evaluation of novel and published models.

Samuel O Antwi, Brandon J Coombes, Erin E Carlson, Nicholas B Larson, Kari G Rabe, Hunter J Atkinson, Shounak Majumder, William R Bamlet, Daniel J Schaid, Jun Zhong and 59 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2026. 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

69 authors.

Samuel O AntwiDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA. Antwi.Samuel@mayo.edu.
Brandon J CoombesDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Erin E CarlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Nicholas B LarsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Kari G RabeDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Hunter J AtkinsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Shounak MajumderDepartment of Medicine, Mayo Clinic, Rochester, MN, USA.
William R BamletDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Daniel J SchaidDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Jun ZhongLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
David McKeanDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Alan A ArslanDepartment of Obstetrics and Gynecology, New York University Grossman School of Medicine, New York, NY, USA.
Laura E Beane FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Paige M BracciDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Federico CanzianGenomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Thérèse TruongParis-Saclay University, UVSQ, Inserm, Gustave Roussy, CESP, Villejuif, France.
Josh AtkinsNuffield Department of Population Health, Oxford University, Oxford, UK.
Mengmeng DuDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Steven GallingerLunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, ON, Canada.
Phyllis J GoodmanSWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Verena KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniele CampaDepartment of Biology, University of Pisa, Pisa, PI, Italy.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Loic Le MarchandCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Rachel E NealePopulation Health Program, QIMR Berghofer, Brisbane, QLD, Australia.
Alpa V PatelDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Jean Wactawski-WendeUniversity at Buffalo School of Public Health and Health Professions, Buffalo, NY, USA.
Sandra PerdomoGenomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Kala VisvanathanDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Stephen K Van Den EedenDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Emily WhiteDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Demetrius AlbanesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Gabriella AndreottiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Paul BrennanGenomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Yu ChenDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Burcu DarstDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Pietro FerrariNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Michael GogginsDepartment of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Christopher HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Manal HassanDepartment of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Rayjean J HungLunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, ON, Canada.
Miranda R JonesDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.
Peter KraftDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Núria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre, Madrid, Spain.
Steven C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Kimmie NgDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Ulrike PetersDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Miquel PortaCIBER Epidemiologíay Salud Pública (CIBERESP), Barcelona, Spain.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Maria-José SánchezEscuela Andaluza de Salud Pública (EASP), Granada, Spain.
Howard D SessoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Caroline Y UmDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Herbert YuCancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Chen YuanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
MAYO-RGC Project Generation
Regeneron Genetics Center
Harvey A RischDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Brian M WolpinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Rachael Z Stolzenberg-SolomonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Alison P KleinDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Laufey T AmundadottirLaboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Ann L ObergDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. Ann.oberg@mayo.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Tissue CoreP50CA102701 · NCI · MAYO CLINIC ROCHESTER · PI MUKHOPADHYAY, DEBABRATA · 2004 to 2018
$32.7M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, Rayjean J. Hung · 2017 to 2026
$23.7M
Mayo Clinic Prospective Resource for Biomarker Validation and Early Detection of Pancreatic CancerU01CA210138 · NCI · MAYO CLINIC ROCHESTER · PI Shounak Majumder, Kenneth Zaret · 2016 to 2026
$9.0M
Multifactor risk scores with susceptibility gene mutations to enhance risk assessment of pancreatic cancerR01CA272668 · NCI · MAYO CLINIC ROCHESTER · PI Ann Laura Oberg · 2023 to 2026
$1.5M
NCI NIH HHS K01CA23787NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA015083NCI NIH HHS P50 CA102701NCI NIH HHS R01 CA272668NCI NIH HHS R01CA272668NCI NIH HHS U01 CA210138NCI NIH HHS U01CA210138NCI NIH HHS U19 CA203654
6 · The paper itself

Abstract

Polygenic risk scores (PRSs) may enhance risk stratification for pancreatic ductal adenocarcinoma (PDAC), but existing models vary widely in design, predictive performance, and cross-ancestry transferability. We developed genome-wide PRSs using Bayesian methods (LDpred2 and PRS-CS) and p value thresholding (PRSice-2) and systematically evaluated these alongside 13 published PRSs to identify models with robust predictive performance across ancestries. Using GWAS summary statistics from 7531 cases and 10,631 controls, we derived the PRSs and tested associations in an independent sample of 4508 PDAC cases and 46,189 controls, with adjustment for well-established PDAC risk factors. Among all models, the genome-wide LDpred2-based PRS showed the strongest association with PDAC (OR = 1.57 per standard deviation increase; 95% CI: 1.51-1.62) and significantly improved discrimination beyond established risk factors alone (AUC = 0.74-0.76; p < 0.0001). Importantly, the genome-wide LDpred2 PRS demonstrated consistent associations across African, Admixed American, and European ancestry groups, whereas the best-performing published PRS was associated with PDAC risk only in individuals of European ancestry. These findings support genome-wide PRSs as a promising framework for multi-ancestry risk stratification for PDAC and to inform targeted early detection strategies.

Identifiers

PMID42203843
PMCPMC13490364

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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.