Hardy-Weinberg Equilibrium in Meta-Analysis Studies and Large-Scale Genomic Sequencing Era.
Hossein NeamatzadehSeyed Alireza DastgheibMahta MazaheriAli MasoudiAmirmasoud ShiriAmirhossein OmidiAmirhossein RahmaniAhmadreza Golshan-TaftiMaryam AghasipourMaryam YeganegiMohammad BahramiKazem AghiliSahel KhajehnooriSeyed Alireza Mosavi JarrahiPublished in: Asian Pacific journal of cancer prevention : APJCP (2024)
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.
Keyphrases
- case control
- systematic review
- copy number
- molecular dynamics
- single cell
- meta analyses
- molecular dynamics simulations
- genome wide
- healthcare
- primary care
- randomized controlled trial
- climate change
- high throughput
- rna seq
- dna methylation
- patient safety
- autism spectrum disorder
- deep learning
- intellectual disability
- artificial intelligence