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. 2016 Mar 18:7:17.
doi: 10.1186/s13293-016-0070-1. eCollection 2016.

Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin

Affiliations

Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin

Barbara Hernando et al. Biol Sex Differ. .

Abstract

Background: Human pigmentation is a polygenic quantitative trait with high heritability. In addition to genetic factors, it has been shown that pigmentation can be modulated by oestrogens and androgens via up- or down-regulation of melanin synthesis. Our aim was to identify possible sex differences in pigmentation phenotype as well as in melanoma association in a melanoma case-control population of Spanish origin.

Methods: Five hundred and ninety-nine females (316 melanoma cases and 283 controls) and 458 males (234 melanoma cases and 224 controls) were analysed. We genotyped 363 polymorphisms (single nucleotide polymorphisms (SNPs)) from 65 pigmentation gene regions.

Results: When samples were stratified by sex, we observed more SNPs associated with dark pigmentation and good sun tolerance in females than in males (107 versus 75; P = 2.32 × 10(-6)), who were instead associated with light pigmentation and poor sun tolerance. Furthermore, six SNPs in TYR, SILV/CDK2, GPR143, and F2RL1 showed strong differences in melanoma risk by sex (P < 0.01).

Conclusions: We demonstrate that these genetic variants are important for pigmentation as well as for melanoma risk, and also provide suggestive evidence for potential differences in genetic effects by sex.

Keywords: Pigmentation; Polymorphisms; Sex; Skin cancer; UV sensitivity.

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Figures

Fig. 1
Fig. 1
Volcano plots showing significance (−log10 P value) versus fold change (log2 OR) for pigmentation and sun sensitivity traits separated by sex. Red dots indicate SNPs with a significant fold change (P values < 0.01)
Fig. 2
Fig. 2
Distribution of the SNPs associated with pigmentation and sun sensitivity traits separated by sex. The percentage of each phenotype (protection or risk) is calculated taking into account the total number of significant SNPs associated in males and females (P values < 0.05). Percentages are represented by bars of the corresponding colour. The number on the top of each bar represents the count of associated SNPs in each category
Fig. 3
Fig. 3
Manhattan plots displaying the strength of significant differences between male-only and female-only associated effects (−log10 sex-differentiated P value) for a) pigmentation and b) sun sensitivity traits. Darker dots of the corresponding colour indicate SNPs with a significant fold change (sex-differentiated P values < 0.01)

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