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Published on: April 4, 2018
Opioid-Related Pharmacogenomic Variants in a Retrospective Cohort of High-Risk Hospitalized Infants
Rabab M Barq1, Shadassa Ourshalimian1, Simran Maggo2
1Division of Pediatric Surgery, Children's Hospital Los Angeles, Los Angeles, CA.
Insights
Most high-risk infants carry opioid-related pharmacogenomic variants, differing from general populations. This suggests precision prescribing could improve pain management and reduce adverse effects in pediatric patients.
Area of Science:
- Pediatric pharmacology
- Genetics and genomics
- Precision medicine
Background:
- Opioid pharmacogenomic (PGx) variants influence drug response and adverse effects.
- High-risk hospitalized infants may have unique genetic profiles affecting opioid metabolism and efficacy.
- Understanding PGx variant prevalence is crucial for optimizing pain management in vulnerable pediatric populations.
Purpose of the Study:
- To determine the frequency of opioid-related PGx variants in high-risk hospitalized infants.
- To compare these variant frequencies with broader genetic databases.
- To assess the implications for precision opioid prescribing in infants.
Main Methods:
- Retrospective cohort study of infants (<1 year) with high-risk conditions.
- Exome sequencing to identify variants in genes (COMT, DRD2/ANKK1, ABCB1, OPRM1, CYP2B6, CYP2D6) associated with opioid response.
- Comparison of variant frequencies with the Ensembl genomic database using statistical tests.
Main Results:
- 81.1% of infants were homozygous for at least one opioid-related PGx variant.
- Significantly higher homozygosity for ABCB1 variants (rs1045642, rs2032582) and lower for COMT (rs4818) and OPRM1 (rs1799971) compared to Ensembl data.
- Common metabolizer phenotypes included intermediate and normal for CYP2B6 and CYP2D6.
Conclusions:
- Most high-risk infants carry at least one opioid-related PGx variant, with frequencies distinct from the general population.
- Pharmacogenomic-guided opioid prescribing holds potential for optimizing pain management and minimizing adverse events in infants.
- Further research with larger cohorts and ancestrally matched controls is needed to validate findings and clinical utility.
Objective:
To evaluate the prevalence of opioid-related pharmacogenomic (PGx) variants in high-risk hospitalized infants and to compare these frequencies with broader genetic cohorts to assess implications for precision opioid prescribing.
Study Design:
This retrospective cohort study included infants <1 year of age with high-risk conditions treated at a quaternary children's hospital between 2009 and 2020 who underwent exome sequencing. Variants associated with opioid response (COMT, DRD2/ANKK1, ABCB1, OPRM1, CYP2B6, and CYP2D6) were identified, and frequencies were compared with the Ensembl genomic database using chi-square and Fisher exact tests.
Results:
Among 111 high-risk infants (62.2% male, 47.7% Hispanic/Latino, 18.0% born prematurely, and 82.0% with congenital heart disease), 68.2% underwent surgery. Overall, 81.1% of infants were homozygous for at least 1 opioid-related PGx variant. Compared with Ensembl data, infants in our cohort had a significantly higher frequency of homozygosity for ABCB1: rs1045642 (43.6% vs 18.7%, P < .001) and rs2032582 (42.7% vs 15.9%, P < .001) and a lower frequency of homozygosity for COMT: rs4818 (2.7% vs 10.3%, P < .001) and OPRM1: rs1799971 (2.7% vs 7.1%, P < .001). All infants with surgical necrotizing enterocolitis (n = 5) were homozygous for at least 1 opioid-related variant. The most common metabolizer phenotypes were intermediate (CYP2B6: 35.5%, CYP2D6: 20.0%) and normal (CYP2B6: 53.9%, CYP2D6: 70.9%).
Conclusions:
In our cohort, most infants carried at least 1 opioid-related PGx variant, with frequencies differing significantly from broader genetic cohorts. These findings highlight the potential of PGx-guided opioid prescribing to optimize pain management and reduce adverse effects in this population. Larger studies incorporating intronic PGx variants and ancestrally comparable controls are needed to validate these findings and evaluate clinical implications.
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