Title |
Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin
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Published in |
Biology of Sex Differences, March 2016
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DOI | 10.1186/s13293-016-0070-1 |
Pubmed ID | |
Authors |
Barbara Hernando, Maider Ibarrola-Villava, Lara P. Fernandez, Maria Peña-Chilet, Marta Llorca-Cardeñosa, Sara S. Oltra, Santos Alonso, Maria Dolores Boyano, Conrado Martinez-Cadenas, Gloria Ribas |
Abstract |
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. 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. 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). 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 14% |
Spain | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Science communicators (journalists, bloggers, editors) | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 22% |
Student > Master | 4 | 10% |
Student > Ph. D. Student | 4 | 10% |
Other | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 8 | 20% |
Unknown | 10 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 20% |
Biochemistry, Genetics and Molecular Biology | 7 | 17% |
Medicine and Dentistry | 6 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
Psychology | 3 | 7% |
Other | 4 | 10% |
Unknown | 10 | 24% |