# Pharmacogenomics in Orofacial Clefts Care: Insights from Whole-Genome Sequencing of Case-Parents Trios

**Authors:** Elvis Poku-Adusei, Gideon Okyere Mensah, Christian Opoku Asamoah, Bruce Tsri, Hafsa Akeeya, Abass Shaibu Danbaki, Solomon Obiri-Yeboah, Tamara D. Busch, Lawrence Sheringham Borquaye, Peter Donkor, Azeez Butali, Lord Jephthah Joojo Gowans

PMC · DOI: 10.3390/jpm15100456 · Journal of Personalized Medicine · 2025-09-30

## TL;DR

This study explores genetic variants in drug-metabolizing genes among families with orofacial clefts in Ghana and Nigeria to improve personalized medicine and reduce drug side effects.

## Contribution

The study identifies pathogenic variants in drug metabolism and transport genes linked to adverse drug reactions in Sub-Saharan African populations with orofacial clefts.

## Key findings

- Pathogenic variants in genes like CYP1A2, CYP2C18, and ABCC3 were found to affect drug metabolism and transport.
- Structural and functional analyses showed mutant proteins had altered properties impacting ligand binding.
- Variants were associated with drugs like caffeine and carbamazepine, commonly used in Africa.

## Abstract

Background/Objectives: Orofacial clefts (OFCs) are among the most common birth defects globally, sometimes exacerbated by adverse drug reactions (ADRs) from corticosteroids and antiepileptics. Comprehending the pharmacogenomic and pharmacogenetic elements that lead to ADRs is essential for enhancing precision medicine and clinical outcomes. This study examines rare genetic variants in drug-metabolizing and drug-transporting genes among Ghanaian and Nigerian families with a history of OFCs, intending to assess their pathogenicity and functional implications. Methods: We recruited 104 Ghanaian families and 26 Nigerian families, generating whole-genome sequencing (WGS) data from 390 individuals (130 case-parent trios). DNA isolated from saliva and buccal swab samples underwent WGS, and subsequent WGS data were analyzed through extensive bioinformatics analyses. Variants were called and annotated using the GATK workflow. The HOPE in silico modeling tool evaluated the structural impact of genetic variants on encoded proteins, while molecular docking using PyRx examined alterations in ligand binding affinity. Results: Our study revealed pathogenic variants in vital genes associated with drug metabolism and transport, specifically CYP1A2, CYP2C18, CYP27A1, CYP2B6, SLC6A2, and ABCC3. Structural modeling research demonstrated substantial size, charge, conformation, and hydrophobicity variations between wildtype and mutant proteins. Variants positioned near conserved regions or within functional domains were anticipated to be deleterious, potentially compromising protein function and ligand interactions. Molecular docking studies verified changes in binding affinities between wildtype and mutant proteins for common ligands. The identified variations were linked to the metabolism of frequently used pharmaceuticals in Africa, such as caffeine, ketoconazole, efavirenz, carbamazepine, and artemether. Conclusions: These findings highlight the need for pharmacogenetic screening to inform personalized medicine, diminish ADRs, and enhance the clinical care of OFCs in Sub-Saharan Africa.

## Linked entities

- **Genes:** CYP1A2 (cytochrome P450 family 1 subfamily A member 2) [NCBI Gene 1544], CYP2C18 (cytochrome P450 family 2 subfamily C member 18) [NCBI Gene 1562], CYP27A1 (cytochrome P450 family 27 subfamily A member 1) [NCBI Gene 1593], CYP2B6 (cytochrome P450 family 2 subfamily B member 6) [NCBI Gene 1555], SLC6A2 (solute carrier family 6 member 2) [NCBI Gene 6530], ABCC3 (ATP binding cassette subfamily C member 3) [NCBI Gene 8714]
- **Chemicals:** caffeine (PubChem CID 2519), ketoconazole (PubChem CID 3823), efavirenz (PubChem CID 3203), carbamazepine (PubChem CID 2554), artemether (PubChem CID 68911)

## Full-text entities

- **Genes:** ABCC3 (ATP binding cassette subfamily C member 3) [NCBI Gene 8714] {aka ABC31, EST90757, MLP2, MOAT-D, MRP3, cMOAT2}, CYP2C18 (cytochrome P450 family 2 subfamily C member 18) [NCBI Gene 1562] {aka CPCI, CYP2C, CYP2C17, P450-6B/29C, P450IIC17}, CYP27A1 (cytochrome P450 family 27 subfamily A member 1) [NCBI Gene 1593] {aka CP27, CTX, CYP27}, SLC6A2 (solute carrier family 6 member 2) [NCBI Gene 6530] {aka NAT1, NET, NET1, SLC6A5}, CYP1A2 (cytochrome P450 family 1 subfamily A member 2) [NCBI Gene 1544] {aka CP12, CYPIA2, P3-450, P450(PA)}, CYP2B6 (cytochrome P450 family 2 subfamily B member 6) [NCBI Gene 1555] {aka CPB6, CYP2B, CYP2B7, CYPIIB6, EFVM, IIB1}
- **Diseases:** OFCs (MESH:C566121), birth defects (MESH:D000014)
- **Chemicals:** caffeine (MESH:D002110), carbamazepine (MESH:D002220), artemether (MESH:D000077549), efavirenz (MESH:C098320), ketoconazole (MESH:D007654)

## Full text

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## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12565010/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12565010/full.md

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Source: https://tomesphere.com/paper/PMC12565010