Evidence map›Paper›PMID 31194742›Full record

ArticlePLoS genetics2019

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb.

Lars G Fritsche, Lauren J Beesley, Peter VandeHaar, Robert B Peng, Maxwell Salvatore, Matthew Zawistowski, Sarah A Gagliano Taliun, Sayantan Das, Jonathon LeFaive, Erin O Kaleba and 8 more

Abstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Assessment of the Influence of UVR in Cutaneous Melanoma.Photodermatology, photoimmunology & photomedicine · 2025
    Review
  4. Review
  5. A framework for understanding selection bias in real-world healthcare data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2024
    Article
  6. Article
  7. Article
  8. The clinical utility of the BMD-related comprehensive genome-wide polygenic score in identifying individuals with a high risk of osteoporotic fractures.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Disease risk scores for skin cancers.Nature communications · 2021
    Observational
  19. Article
  20. 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

18 authors.

Lars G FritscheDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-2110-1690
Lauren J BeesleyDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-3788-5944
Peter VandeHaarDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Robert B PengDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-2211-1206
Maxwell SalvatoreDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Matthew ZawistowskiDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-3005-083X
Sarah A Gagliano TaliunDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-1306-1868
Sayantan DasDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Jonathon LeFaiveDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Erin O KalebaDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Thomas T KlumpnerDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-0532-8374
Stephanie E MoserDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Victoria M BlancCentral Biorepository, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-4434-7917
Chad M BrummettDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-0974-7242
Sachin KheterpalDivision of Pain Medicine, Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Gonçalo R AbecasisDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.
Stephen B GruberUSC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California, United States of America.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Biostatistics Training Program in Cancer ResearchT32CA083654 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Veerabhadran Baladandayuthapani, Kelley McLain Kidwell · 2002 to 2026
$4.3M
NCI NIH HHS P30 CA046592NCI NIH HHS T32 CA083654
6 · The paper itself

Abstract

Polygenic risk scores (PRS) are designed to serve as single summary measures that are easy to construct, condensing information from a large number of genetic variants associated with a disease. They have been used for stratification and prediction of disease risk. The primary focus of this paper is to demonstrate how we can combine PRS and electronic health records data to better understand the shared and unique genetic architecture and etiology of disease subtypes that may be both related and heterogeneous. PRS construction strategies often depend on the purpose of the study, the available data/summary estimates, and the underlying genetic architecture of a disease. We consider several choices for constructing a PRS using data obtained from various publicly-available sources including the UK Biobank and evaluate their abilities to predict not just the primary phenotype but also secondary phenotypes derived from electronic health records (EHR). This study was conducted using data from 30,702 unrelated, genotyped patients of recent European descent from the Michigan Genomics Initiative (MGI), a longitudinal biorepository effort within Michigan Medicine. We examine the three most common skin cancer subtypes in the USA: basal cell carcinoma, cutaneous squamous cell carcinoma, and melanoma. Using these PRS for various skin cancer subtypes, we conduct a phenome-wide association study (PheWAS) within the MGI data to evaluate PRS associations with secondary traits. PheWAS results are then replicated using population-based UK Biobank data and compared across various PRS construction methods. We develop an accompanying visual catalog called PRSweb that provides detailed PheWAS results and allows users to directly compare different PRS construction methods.

Indexed as

Genetic Predisposition to DiseaseGenomicsBiological Specimen BanksElectronic Health RecordsGenome-Wide Association StudyGenotypeHumansMichiganMultifactorial InheritancePhenotypePolymorphism, Single NucleotideRisk FactorsSkin NeoplasmsUnited Kingdom

Identifiers

PMID31194742
PMCPMC6592565

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.