Hardy-Weinberg Equilibrium in Meta-Analysis Studies and Large-Scale Genomic Sequencing Era.

The Hardy-Weinberg Equilibrium (HWE) is a fundamental principle employed in the analysis of genetic data, encompassing studies of meta-analysis and genomic sequencing. It has been demonstrated that HWE possesses the property of transitivity, wherein a multi-allelic polymorphism in equilibrium will persist in its equilibrium state even when alleles are deleted or combined. Nonetheless, the practice of filtering loci that do not adhere to HWE has been observed to impact the inference of population genetics within RADseq datasets. In response to this concern, the Robust Unified Test for HWE (RUTH) has been devised to consider population structure and genotype uncertainty, thereby offering a more precise evaluation of the quality of genotype data. Furthermore, deviations from HWE, such as extreme heterozygote excess, can be effectively utilized to identify genotyping errors or to pinpoint the presence of rare recessive disease-causing variants. In summary, it is evident that HWE holds immense significance in the field of genetic analysis, and its application in meta-analysis studies and genomic sequencing can yield invaluable insights into the intricacies of population structure and the genetics of diseases.

Consolidating data on the association of IL-6 and IL-10 polymorphisms with the development of glaucoma: a meta-analysis.

BACKGROUND: The study aimed to investigate the association of IL-6 and IL-10 polymorphisms with susceptibility to glaucoma by analyzing all relevant individual studies. MATERIALS AND METHODS: Relevant articles were gathered from PubMed, Web of Science, Embase, WanFang, and CNKI databases up to 15 October 2023. Odds ratios (ORs) were used to evaluate the association strengths, along with 95% confidence intervals (CIs). RESULTS: Seven case-control studies involving 1408 cases and 1789 controls on the IL-6 -174 G>C polymorphism, and three studies with 675 cases and 1100 controls on the IL-6 -572 G>C were included. Moreover, three separate studies, each comprising 442 cases and 672 controls, investigated the IL-10 -592C>A, -819T>C, and -1082A>G polymorphisms. The combined data indicated a significant association between -592C>A, -819T>C, and -1082A>G at IL-10 gene and IL-6 -572 G>C with glaucoma susceptibility, with no correlation found for IL-6 -174 G>C. CONCLUSIONS: The study found that IL-10 -592C>A, -819T>C, -1082A>G, and IL-6 -572 G>C polymorphisms were linked to glaucoma risk. However, no significant association was observed for IL-6 -174 G>C. These findings imply a possible connection between genetic variations in these genes and glaucoma risk. Further research is crucial to fully understand the underlying mechanisms and their significance in managing and preventing glaucoma.