Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy.
Daisuke NishizawaTsutomu MiedaMiki TsujitaHideyuki NakagawaShigeki YamaguchiShinya KasaiJunko HasegawaKyoko NakayamaYuko EbataAkira KitamuraHirotomo ShimizuTadayuki TakashimaMasakazu HayashidaAnd Kazutaka IkedaPublished in: International journal of molecular sciences (2023)
Sensitivity to opioids varies widely among individuals. To identify potential candidate single-nucleotide polymorphisms (SNPs) that may significantly contribute to individual differences in the minimum effective concentration (MEC) of an opioid, fentanyl, we conducted a three-stage genome-wide association study (GWAS) using whole-genome genotyping arrays in 350 patients who underwent laparoscopic-assisted colectomy. To estimate the MEC of fentanyl, plasma and effect-site concentrations of fentanyl over the 24 h postoperative period were estimated with a pharmacokinetic simulation model based on initial bolus doses and subsequent patient-controlled analgesia doses of fentanyl. Plasma and effect-site MECs of fentanyl were indicated by fentanyl concentrations, estimated immediately before each patient-controlled analgesia dose. The GWAS revealed that an intergenic SNP, rs966775, that mapped to 5p13 had significant associations with the plasma MEC averaged over the 6 h postoperative period and the effect-site MEC averaged over the 12 h postoperative period. The minor G allele of rs966775 was associated with increases in these MECs of fentanyl. The nearest protein-coding gene around this SNP was DRD1 , encoding the dopamine D 1 receptor. In the gene-based analysis, the association was significant for the SERP2 gene in the dominant model. Our findings provide valuable information for personalized pain treatment after laparoscopic-assisted colectomy.
Keyphrases
- genome wide
- genome wide association study
- patients undergoing
- pain management
- chronic pain
- dna methylation
- copy number
- robot assisted
- case report
- healthcare
- prognostic factors
- high density
- newly diagnosed
- high throughput
- end stage renal disease
- gene expression
- spinal cord
- binding protein
- transcription factor
- climate change
- small molecule
- single cell
- chronic kidney disease
- patient reported
- minimally invasive
- protein protein
- human health