Evidence map›Paper›PMID 29499294›Full record

ArticleJournal of the American Academy of Dermatology2018

Melanoma risk prediction using a multilocus genetic risk score in the Women's Health Initiative cohort.

Hyunje G Cho, Katherine J Ransohoff, Lingyao Yang, Haley Hedlin, Themistocles Assimes, Jiali Han, Marcia Stefanick, Jean Y Tang, Kavita Y Sarin

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Academy of Dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
4.1field-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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
    Pooled it
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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

9 authors at 2 institutions in 1 country.

Hyunje G ChoDepartment of Dermatology, Stanford University School of Medicine, Stanford, California.
Katherine J RansohoffDepartment of Dermatology, Stanford University School of Medicine, Stanford, California.
Lingyao YangQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, California.
Haley HedlinQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, California.
Themistocles AssimesDepartment of Medicine (Cardiovascular), Stanford University School of Medicine, Stanford, California.
Jiali HanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, Indiana.
Marcia StefanickStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California.
Jean Y TangDepartment of Dermatology, Stanford University School of Medicine, Stanford, California.
Kavita Y SarinDepartment of Dermatology, Stanford University School of Medicine, Stanford, California. Electronic address: ksarin@stanford.edu.
Stanford University · USIndiana University Health · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

backgroundSingle-nucleotide polymorphisms (SNPs) associated with melanoma have been identified though genome-wide association studies. However, the combined impact of these SNPs on melanoma development remains unclear, particularly in postmenopausal women who carry a lower melanoma risk.

objectiveWe examine the contribution of a combined polygenic risk score on melanoma development in postmenopausal women.

methodsGenetic risk scores were calculated using 21 genome-wide association study-significant SNPs. Their combined effect on melanoma development was evaluated in 19,102 postmenopausal white women in the clinical trial and observational study arms of the Women's Health Initiative dataset.

resultsCompared to the tertile of weighted genetic risk score with the lowest genetic risk, the women in the tertile with the highest genetic risk were 1.9 times more likely to develop melanoma (95% confidence interval 1.50-2.42). The incremental change in c-index from adding genetic risk scores to age were 0.075 (95% confidence interval 0.041-0.109) for incident melanoma. LIMITATIONS: Limitations include a lack of information on nevi count, Fitzpatrick skin type, family history of melanoma, and potential reporting and selection bias in the Women's Health Initiative cohort.

conclusionHigher genetic risk is associated with increased melanoma prevalence and incidence in postmenopausal women, but current genetic information may have a limited role in risk prediction when phenotypic information is available.

Indexed as

Genome-Wide Association StudyAgedAge DistributionCohort StudiesDatabases, FactualFemaleGenetic Predisposition to DiseaseHumansLogistic ModelsMelanomaMiddle AgedPolymorphism, Single NucleotidePostmenopausePredictive Value of TestsPrevalencePrognosisgenetic risk scoremelanomapostmenopausalsingle-nucleotide polymorphismwomenWomen's Health Initiative

Identifiers

PMID29499294
PMCPMC6362983
OpenAlexW2789002275

What OpenQuestion holds

Textmetadata
LicenceTDM
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.