Abnormal luteinizing hormone (LH) secretion and action are known to affect ovarian steroidogenesis and thus playing a crucial role in manifestation of polycystic ovary syndrome (PCOS). This study is first of its kind to study association of LH β-subunit gene variants with PCOS among South-Indian women. 250 PCOS cases and 299 controls were recruited for the study. All the exons of LH β gene were screened. Allele and genotype frequencies of the SNPs were compared between the cases and controls. We identified seven SNPs in the LH β gene; one SNP in exon 3 (rs#1056917) exhibited significant difference in the allele frequency between the PCOS cases and controls (p=0.015). Although, the LH β variants that are found to be more frequent among PCOS cases are silent in nature and not of any functional significance, they might influence other significant functional polymorphisms in the hypothalamic-pituitary-gonadal axis which needs to be explored.
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http://dx.doi.org/10.1016/j.gene.2011.11.054 | DOI Listing |
Afr J Reprod Health
December 2024
Department of Gynecology and Obstetrics, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, Jiangsu, China.
Through implementing a bidirectional Mendelian randomization (MR) study, the causal effects between gut microbiome and polycystic ovary syndrome (PCOS) were analyzed. Summary statistics for PCOS were acquired from the FinnGen consortium R8 release data, which included 27,943 cases and 162,936 controls. The inverse-variance weighting (IVW) method was adopted for analysis.
View Article and Find Full Text PDFBiomolecules
December 2024
Monash Centre for Health Research and Implementation (MCHRI), Monash University, Clayton, VIC 3800, Australia.
Although inflammation may disrupt immunoendocrine crosstalk essential for female reproductive function, causal links to disorders like polycystic ovary syndrome (PCOS) and endometriosis remain unestablished. This study aimed to utilise Mendelian randomisation (MR) methods to explore causal associations between serum inflammatory markers and common reproductive disorders, aiming to identify novel mechanisms and potential avenues for treatment. Total causal effects of serum inflammatory markers (interleukins, monocyte chemoattractant protein-1, etc.
View Article and Find Full Text PDFPhenomics
October 2024
Institute of Women, Children and Reproductive Health, Shandong University, Jinan, 250012 Shandong China.
Unlabelled: Recently, there has been a debate regarding the association between polycystic ovary syndrome (PCOS) and pancreatic cancer (PC). In order to examine the causal relationship between PCOS and PC, we conducted a Mendelian randomization study, which utilized 12 single nucleotide polymorphisms (SNPs) identified from a genome-wide association study (GWAS) meta-analysis that included 10,074 PCOS cases and 103,164 controls of European ancestry as instrumental variables (IVs). The outcome data were obtained from the FinnGen database (including 605 cases and 218,187 controls).
View Article and Find Full Text PDFClin Endocrinol (Oxf)
December 2024
Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Objective: Many review articles have explored data regarding the coexistence of specific types of pituitary adenomas (PAs) and polycystic ovary syndrome (PCOS), particularly focusing on the potential pathogenesis of this intersection and overlapping features. However, a comprehensive evaluation encompassing the full spectrum of PAs and their association with PCOS remains lacking. This review aims to provide a broad assessment of the interactions between these entities, emphasizing pathophysiological mechanisms, clinical presentations, diagnostic challenges and therapeutic implications.
View Article and Find Full Text PDFObjective: To investigate the association between polycystic ovary syndrome (PCOS) and inflammatory proteins, and to identify and quantify the role of serum metabolites as potential mediators.
Methods: Utilizing summary-level data from a genome-wide association study (GWAS), we conducted a two-sample Mendelian Randomization (MR) analysis, a genetic approach that uses genetic variants as instrumental variables to assess the causal relationships between risk factors and outcomes. This analysis involved genetically predicted PCOS (1,639 cases and 218,970 controls) and inflammatory proteins (14,824 participants of primarily European descent).
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