Candidate gene analyses for acute pain and morphine analgesia after pediatric day surgery: African American versus European Caucasian ancestry and dose prediction limits
Document Type
Article
Publication Date
12-1-2019
Abstract
Acute pain and opioid analgesia demonstrate inter-individual variability and polygenic influence. In 241 children of African American and 277 of European Caucasian ancestry, we sought to replicate select candidate gene associations with morphine dose and postoperative pain and then to estimate dose prediction limits. Twenty-seven single-nucleotide polymorphisms (SNPs) from nine genes (ABCB1, ARRB2, COMT, DRD2, KCNJ6, MC1R, OPRD1, OPRM1, and UGT2B7) met selection criteria and were analyzed along with TAOK3. Few associations replicated: morphine dose (mcg/kg) in African American children and ABCB1 rs1045642 (A allele, β = −9.30, 95% CI: −17.25 to −1.35, p = 0.02) and OPRM1 rs1799971 (G allele, β = 23.19, 95% CI: 3.27–43.11, p = 0.02); KCNJ6 rs2211843 and high pain in African American subjects (T allele, OR 2.08, 95% CI: 1.17–3.71, p = 0.01) and in congruent European Caucasian pain phenotypes; and COMT rs740603 for high pain in European Caucasian subjects (A allele, OR: 0.69, 95% CI: 0.48–0.99, p = 0.046). With age, body mass index, and physical status as covariates, simple top SNP candidate gene models could explain theoretical maximums of 24.2% (European Caucasian) and 14.6% (African American) of morphine dose variances.
Identifier
85061491194 (Scopus)
Publication Title
Pharmacogenomics Journal
External Full Text Location
https://doi.org/10.1038/s41397-019-0074-4
e-ISSN
14731150
ISSN
1470269X
PubMed ID
30760877
First Page
570
Last Page
581
Issue
6
Volume
19
Grant
U01HG006830
Fund Ref
National Human Genome Research Institute
Recommended Citation
Li, Jin; Wei, Zhi; Zhang, Jie; Hakonarson, Hakon; and Cook-Sather, Scott D., "Candidate gene analyses for acute pain and morphine analgesia after pediatric day surgery: African American versus European Caucasian ancestry and dose prediction limits" (2019). Faculty Publications. 7168.
https://digitalcommons.njit.edu/fac_pubs/7168
