Evidence map›Paper›PMID 34921685›Full record

SynthesisThe British journal of dermatology2022

Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts.

Julia Steinberg, Mark M Iles, Jin Yee Lee, Xiaochuan Wang, Matthew H Law, Amelia K Smit, Tu Nguyen-Dumont, Graham G Giles, Melissa C Southey, Roger L Milne and 4 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in The British journal of dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Conjunctival Ultraviolet Autofluorescence: A Systematic Review of Factors Affecting Observed Ocular Damage.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Association of Inherited Genetic Variants with Multiple Primary Melanoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  7. Article
  8. Article
  9. Polygenic scores in cancer.Nature reviews. Cancer · 2023
    Review
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Julia SteinbergThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0002-0585-2312
Mark M IlesLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
Jin Yee LeeSchool of Public Health, The University of Sydney, Sydney, NSW, Australia.
Xiaochuan WangCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Matthew H LawStatistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.ORCID 0000-0002-4303-8821
Amelia K SmitThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-5712-220X
Tu Nguyen-DumontPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Graham J MannJohn Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia.
D Timothy BishopLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.
Robert J MacInnisCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Anne E CustThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0002-5331-6370
The University of Melbourne · AUThe University of Sydney · AUUniversity of Leeds · GBAustralian National University · AUCancer Council Victoria · AUMonash Health · AUQueensland University of Technology · AU

Funding

Cancer Research UK 19167Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Wellcome Trust 209057
6 · The paper itself

Abstract

backgroundPrevious studies suggest that polygenic risk scores (PRSs) may improve melanoma risk stratification. However, there has been limited independent validation of PRS-based risk prediction, particularly assessment of calibration (comparing predicted to observed risks).

objectivesTo evaluate PRS-based melanoma risk prediction in prospective UK and Australian cohorts with European ancestry.

methodsWe analysed invasive melanoma incidence in the UK Biobank (UKB; n = 395 647, 1651 cases) and a case-cohort nested within the Melbourne Collaborative Cohort Study (MCCS, Australia; n = 4765, 303 cases). Three PRSs were evaluated: 68 single-nucleotide polymorphisms (SNPs) at 54 loci from a 2020 meta-analysis (PRS68), 50 SNPs significant in the 2020 meta-analysis excluding UKB (PRS50) and 45 SNPs at 21 loci known in 2018 (PRS45). Ten-year melanoma risks were calculated from population-level cancer registry data by age group and sex, with and without PRS adjustment.

resultsPredicted absolute melanoma risks based on age and sex alone underestimated melanoma incidence in the UKB [ratio of expected/observed cases: E/O = 0·65, 95% confidence interval (CI) 0·62-0·68] and MCCS (E/O = 0·63, 95% CI 0·56-0·72). For UKB, calibration was improved by PRS adjustment, with PRS50-adjusted risks E/O = 0·91, 95% CI 0·87-0·95. The discriminative ability for PRS68- and PRS50-adjusted absolute risks was higher than for risks based on age and sex alone (Δ area under the curve 0·07-0·10, P < 0·0001), and higher than for PRS45-adjusted risks (Δ area under the curve 0·02-0·04, P < 0·001).

conclusionsA PRS derived from a larger, more diverse meta-analysis improves risk prediction compared with an earlier PRS, and might help tailor melanoma prevention and early detection strategies to different risk levels. Recalibration of absolute risks may be necessary for application to specific populations.

Indexed as

MelanomaMultifactorial InheritanceAustraliaGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideProspective StudiesRisk AssessmentRisk FactorsUnited Kingdom

Identifiers

PMID34921685
PMCPMC9545863
OpenAlexW4200327785

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.