Genetic variations in OLR1 gene associated with PCOS and atherosclerotic risk factors.
Serap Baydur SahinIhsan NalkiranTeslime AyazAli Irfan GuzelTugba EldesTugba CalapogluHatice Sevim NalkiranPublished in: Journal of investigative medicine : the official publication of the American Federation for Clinical Research (2023)
Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of reproductive age. The aim of this study was to investigate the association of oxidized low-density lipoprotein receptor 1 ( OLR1 ) gene variations with the susceptibility of PCOS and to examine the relationship between the frequencies of OLR1 gene variations and atherosclerotic risk factors. Genomic DNA was extracted from blood samples collected from 49 patients with PCOS and 43 healthy controls. The variants in the OLR1 gene were identified using next-generation sequencing (NGS). Heterozygous rs11053646 (K167N), rs11611438, rs11611453, and rs35688880 genotype frequencies were significantly higher in the PCOS group than that of control group. Single nucleotide polymorphism (SNP) rs34163097 minor A allele increased the PCOS risk by ∼10-fold (p = 0.03). SNPs rs11053646, rs11611438, rs11611453, rs34163097, and rs35688880 were positively correlated with body mass index (BMI). The logistic regression model (area under the curve: 0.770, p = 0.000) further revealed a combination of 2-h plasma glucose (PG-2 h), dehydroepiandrosterone sulfate (DHEAS), and rs11053646 as predictors of PCOS phenotype. This is the first study reporting the NGS data of OLR1 gene variants which might be associated with the pathogenesis of PCOS and several atherosclerotic risk factors, particularly higher BMI and DHEAS. To fully understand the genetic basis of PCOS and the contribution of OLR1 gene variants to PCOS pathogenesis, additional large-scale studies are warranted.
Keyphrases
- polycystic ovary syndrome
- copy number
- genome wide
- insulin resistance
- risk factors
- body mass index
- dna methylation
- type diabetes
- gene expression
- physical activity
- emergency department
- deep learning
- single cell
- pregnant women
- low density lipoprotein
- weight loss
- binding protein
- circulating tumor
- single molecule
- electronic health record
- cell free
- data analysis
- blood glucose
- genome wide analysis
- big data