Advances in the field of pharmacogenomics have resulted in the discovery of some important single-nucleotide polymorphisms which are found to be associated with opioid dose variability. This, to a large extent, explains genetic variability in the analgesic dose of opioids. These polymorphisms are found in various areas relevant to pain perception, including the nociceptive and antinociceptive pathways, drug receptors, drug-metabolising enzymes and drug efflux molecules. An in-depth knowledge of single-nucleotide polymorphisms can help clinicians to address interindividual variability in opioid dosing and requirements. In the era of precision medicine, these genetic markers can also help us to design prognostic tools to accurately predict the analgesic dose of opioids.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/anae.14813 | DOI Listing |
The novel HLA-C*03:678 allele differs from HLA-C*03:04:01:02 by single non-synonymous nucleotide substitution.
View Article and Find Full Text PDFHLA
January 2025
Strand Life Sciences, Bangalore, Karnataka, India.
The novel HLA-DQB1*06:469 allele differs from HLA-DQB1*06:01:01:01 by one nucleotide substitution in codon 187 in exon 3.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Gene-environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO], ozone, particulate matter < 2.5 and < 10 μm) and childhood asthma incidence in a diverse cohort.
View Article and Find Full Text PDFSci Rep
January 2025
Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This study aimed to investigate the interactions between the Dietary approaches to stop hypertension (DASH) and the rs1501299 and rs6450176 SNPs in terms of cardiometabolic risk factors. This cross-sectional study was conducted on 387 adults (20-70 years old) residing in Yazd, Iran. The participants were selected from participants in the recruitment phase of the Yazd Health Study (YaHS) which is a population-based cohort of 9,962 adults.
View Article and Find Full Text PDFSci Rep
January 2025
Departments of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies focused on breast cancer (BC) patients' stratification and personalized interventions. Firstly, Differences and correlations of mitochondrial and lysosome related genes were screened and validated by differential analysis, copy number variation (CNV), single nucleotide polymorphism (SNPs) and correlation analysis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!