Ambra Roberto, Mastroeni Simona, Manca Sonia, Mannooranparampil Thomas J, Virgili Fabio, Marzani Barbara, Pinto Daniela, Fortes Cristina
Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA-AN), 00178 Rome, Italy.
National Centre for Disease Prevention and Health Promotion, Italian National Health Institute, 00161 Rome, Italy.
Nutrients. 2025 Jan 15;17(2):299. doi: 10.3390/nu17020299.
Single nucleotide polymorphisms (SNPs) found to be associated with Androgenetic Alopecia (AGA) to date, are characterized by an apparent reduced penetrance into the phenotype suggesting a role of other factors in the etiology of AGA.
We conducted a study to investigate the role of specific allelic variants in AGA controlling for nutritional and lifestyle factors.
Individual patterns of SNPs present in the baldness susceptibility locus at 20p11 (rs1160312 and rs6113491) or close to the androgen receptor (AR) gene in chromosome X (rs1041668) were investigated in 212 male subjects. Information on socio-demographic characteristics, medical history, smoking, and diet was also collected. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs).
After controlling for age, diet, BMI, family history of AGA, and smoking, an increased risk of AGA was found for subjects with [A] alleles for both rs1160312 (OR: 2.97; 95% CI: 1.34-6.62) and rs6113491 (OR: 2.99; 95% CI: 1.37-6.52), and for subjects with the TT genotype for rs1041668 (OR: 4.47; 95% CI: 1.60-12.5). Multivariate logistic regression indicates that diet, familiarity, and BMI, but not smoking, remain statistically significant despite the different SNP genotypes.
To our knowledge, this is the first indication that the rs1160312, rs6113491, and rs1041668 polymorphisms are independent risk factors for AGA that can be modulated by diet.
迄今为止发现的与雄激素性脱发(AGA)相关的单核苷酸多态性(SNP),其特征是进入表型的外显率明显降低,这表明其他因素在AGA病因中起作用。
我们进行了一项研究,以调查特定等位基因变异在控制营养和生活方式因素的AGA中的作用。
在212名男性受试者中研究了位于20p11秃发易感位点(rs1160312和rs6113491)或X染色体上靠近雄激素受体(AR)基因(rs1041668)的SNP个体模式。还收集了社会人口统计学特征、病史、吸烟和饮食信息。使用逻辑回归估计比值比(OR)和95%置信区间(CI)。
在控制年龄、饮食、体重指数、AGA家族史和吸烟后,发现rs1160312(OR:2.97;95%CI:1.34 - 6.62)和rs6113491(OR:2.99;95%CI:1.37 - 6.52)的[A]等位基因受试者以及rs1041668的TT基因型受试者患AGA的风险增加(OR:4.47;95%CI:1.60 - 12.5)。多变量逻辑回归表明,尽管SNP基因型不同,但饮食、家族史和体重指数在统计学上仍然显著,而吸烟则不然。
据我们所知,这是首次表明rs1160312、rs6113491和rs1041668多态性是AGA的独立危险因素,且可通过饮食调节。