Evidence map›Paper›PMID 19384953›Full record

Trial reportInternational journal of cancer2009

Genetic variants in pigmentation genes, pigmentary phenotypes, and risk of skin cancer in Caucasians.

Hongmei Nan, Peter Kraft, David J Hunter, Jiali Han

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% 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

91 citing papers in PubMed, 3 syntheses or guidelines pooled it, 208 citations in OpenAlex.

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  20. The evolution of skin pigmentation-associated variation in West Eurasia.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article

31 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Hongmei NanDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA. hnan@hsph.harvard.edu
Peter Kraft
David J Hunter
Jiali Han
Brigham and Women's Hospital · USHarvard University · US

Funding

Genetic Variants in Pigmentation Genes and Skin Cancer RiskR03CA128080 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HAN, JIALI · 2007 to 2008
$175k
Genetic Variants in Immunological Mediator Genes and Skin Cancer RiskR03CA132175 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HAN, JIALI · 2007 to 2008
$174k
NCI NIH HHS CA128080NCI NIH HHS CA132175NCI NIH HHS R03 CA128080NCI NIH HHS R03 CA132175
6 · The paper itself

Abstract

Human pigmentation is a polygenic quantitative trait with high heritability. Although a large number of single nucleotide polymorphisms (SNPs) have been identified in pigmentation genes, very few SNPs have been examined in relation to human pigmentary phenotypes and skin cancer risk. We evaluated the associations between 15 SNPs in 8 candidate pigmentation genes (TYR, TYRP1, OCA2, SLC24A5, SLC45A2, POMC, ASIP and ATRN) and both pigmentary phenotypes (hair color, skin color and tanning ability) and skin cancer risk in a nested case-control study of Caucasians within the Nurses' Health Study (NHS) among 218 melanoma cases, 285 squamous cell carcinoma (SCC) cases, 300 basal cell carcinoma (BCC) cases and 870 common controls. We found that the TYR Arg402Gln variant was significantly associated with skin color (p-value = 7.7 x 10(-4)) and tanning ability (p-value = 7.3 x 10(-4)); the SLC45A2 Phe374Leu variant was significantly associated with hair color (black to blonde) (p-value = 2.4 x 10(-7)), skin color (p-value = 1.1 x 10(-7)) and tanning ability (p-value = 2.5 x 10(-4)). These associations remained significant after controlling for MC1R variants. No significant associations were found between these polymorphisms and the risk of skin cancer. We observed that the TYRP1 rs1408799 and SLC45A2 1721 C>G were associated with melanoma risk (OR, 0.77; 95% CI, 0.60-0.98 and OR, 0.75; 95% CI, 0.60-0.95, respectively). The TYR Ser192Tyr was associated with SCC risk (OR, 1.23; 95% CI, 1.00-1.50). The TYR haplotype carrying only the Arg402Gln variant allele was significantly associated with SCC risk (OR, 1.35; 95% CI, 1.04-1.74). The OCA2 Arg419Gln and ASIP g.8818 A>G were associated with BCC risk (OR, 1.50; 95% CI, 1.06-2.13 and OR, 0.73; 95% CI, 0.53-1.00, respectively). The haplotype near ASIP (rs4911414[T] and rs1015362[G]) was significantly associated with fair skin color (OR, 2.28; 95% CI, 1.46-3.57) as well as the risks of melanoma (OR, 1.68; 95% CI, 1.18-2.39) and SCC (OR, 1.54; 95% CI, 1.08-2.19). These associations remained similar after adjusting for pigmentary phenotypes and MC1R variants. The statistical power of our study was modest and additional studies are warranted to confirm the associations observed in the present study. Our study provides evidence for the contribution of pigmentation genetic variants, in addition to the MC1R variants, to variation in human pigmentary phenotypes and possibly the development of skin cancer.

Indexed as

Polymorphism, Single NucleotideAdultAgedAgouti Signaling ProteinAntiportersBasal Cell CarcinomaCarcinoma, Squamous CellCase-Control StudiesFemaleGenome-Wide Association StudyHair ColorHaplotypesHumansMelanomaMembrane GlycoproteinsMembrane ProteinsAgouti Signaling ProteinAntiportersASIP protein, humanATRN protein, humanMembrane GlycoproteinsMembrane ProteinsMembrane Transport ProteinsNeoplasm ProteinsOCA2 protein, humanOxidoreductasesProprotein ConvertasesSLC24A5 protein, humanSLC44A2 protein, humanTYRP1 protein, human

Identifiers

PMID19384953
PMCPMC2700213
OpenAlexW2057862077

What OpenQuestion holds

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Read underepoch 390

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.