| Literature DB >> 35505645 |
Željka Celinšćak1, Matea Zajc Petranović, Maja Šetinc, Anita Stojanović Marković, Marijana Peričić Salihović, Hrvojka Marija Zeljko, Branka Janićijević, Nina Smolej Narančić, Tatjana Škarić-Jurić.
Abstract
AIM: To compare the Croatian and European population in terms of allele frequencies of clinically relevant polymorphisms in drug absorption, distribution, metabolism, and excretion (ADME) genes.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35505645 PMCID: PMC9086818
Source DB: PubMed Journal: Croat Med J ISSN: 0353-9504 Impact factor: 2.415
Allele frequencies and sample sizes for the 27 absorption, distribution, metabolism, and excretion (ADME) gene loci in Croatian and gnomAD European populations
| Gene | Rs | Single nucleotide variant (gnomAD); chromosome - position - wide allele - variant alelle | Variant allele (gnomAD) | gnomAD (v2.1.1 controls) | Croatian population | p (Chi2 test) | p (BH)* | |||
|---|---|---|---|---|---|---|---|---|---|---|
| variant allele frequency | total allele number | variant allele frequency | total allele number | references |
|
| ||||
|
| 1045642 | 7-87138645-A-G | G | 0.4608 | 48272 | 0.4878 | 2348 | ( | 0.0097 | 0.0524 |
|
| 1128503 | 7-87179601-A-G | G | 0.5657 | 48228 | 0.5788 | 1438 | ( | 0.3178 | 0.6129 |
|
| 3745274 | 19-41512841-G-T | T | 0.2367 | 48248 | 0.2260 | 838 | This study | 0.4858 | 0.6903 |
|
| 2231142 | 4-89052323-G-T | T | 0.1029 | 48288 | 0.0914 | 1734 | ( | 0.1160 | 0.3480 |
|
| 1048943 | 15-75012985-T-C | C | 0.0338 | 48292 | 0.0430 | 844 | This study | 0.1781 | 0.4809 |
|
| 1801272 | 19-41354533-A-T | T | 0.0261 | 48152 | 0.0120 | 816 | This study | 0.0101 | 0.0455 |
|
| 2279343 | 19-41515263-A-G | G | 0.0932 | 42920 | 0.2430 | 820 | This study | <0.0001 | 0.0027 |
|
| 8192709 | 19-41497274-C-T | T | 0.0591 | 48278 | 0.0520 | 826 | This study | 0.4559 | 0.7241 |
|
| 4986893 | 10-96540410-G-A | A | 0.0003 | 48262 | 0.0000 | 722 | ( | 1.0000 | 1.0000 |
|
| 3758581 | 10-96602623-G-A | A | 0.0646 | 48276 | 0.0710 | 820 | This study | 0.4738 | 0.7107 |
|
| 12248560 | 10-96521657-C-T | T | 0.2503 | 5454 | 0.2392 | 3070 | ( | 0.2602 | 0.5855 |
|
| 10509681 | 10-96798749-T-C | C | 0.1085 | 48290 | 0.1150 | 824 | This study | 0.5344 | 0.7214 |
|
| 1799853 | 10-96702047-C-T | T | 0.1228 | 48278 | 0.1467 | 4066 | ( | <0.0001 | 0.0027 |
|
| 1057910 | 10-96741053-A-C | C | 0.0676 | 48284 | 0.0764 | 4050 | ( | 0.0379 | 0.1279 |
|
| 28371725 | 22-42523805-C-T | T | 0.0887 | 48130 | 0.1056 | 1332 | ( | 0.0302 | 0.1165 |
|
| 5030865 | 22-42525035-C-T | T | 0.0000 | 45808 | 0.0000 | 838 | This study | 1.0000 | 1.0000 |
|
| 2242480 | 7-99361466-C-T | T | 0.0958 | 48220 | 0.0960 | 834 | This study | 1.0000 | 1.0000 |
|
| 1801265 | 1-98348885-G-A | A | 0.7728 | 48220 | 0.7600 | 828 | This study | 0.3799 | 0.6838 |
|
| 1695 | 11-67352689-A-G | G | 0.3325 | 47974 | 0.2977 | 1586 | ( | 0.0044 | 0.0297 |
|
| 1041983 | 8-18257795-C-T | T | 0.3104 | 48170 | 0.3053 | 898 | ( | 0.7709 | 0.9050 |
|
| 1799930 | 8-18258103-G-A | A | 0.2837 | 48232 | 0.2850 | 824 | This study | 0.9379 | 1.0551 |
|
| 4149056 | 12-21331549-T-C | C | 0.1606 | 48252 | 0.1735 | 1230 | ( | 0.2385 | 0.5854 |
|
| 4149117 | 12-21011480-T-G | G | 0.8461 | 48218 | 0.8510 | 832 | This study | 0.7345 | 0.9014 |
|
| 1800462 | 6-18143955-C-G | G | 0.0024 | 48270 | 0.0026 | 2210 | ( | 0.6587 | 0.8469 |
|
| 4148323 | 2-234669144-G-A | A | 0.0025 | 48288 | 0.0000 | 828 | This study | 0.2759 | 0.5730 |
|
| 1902023 | 4-69536084-A-C | C | 0.4773 | 48250 | 0.4910 | 816 | This study | 0.4370 | 0.7374 |
|
| 9923231 | 16-31107689-C-T | T | 0.3488 | 5508 | 0.4014 | 1752 | ( | <0.0001 | 0.0027 |
*Benjamini-Hochberg correction: p* = p ×27 / rank order.
Figure 1Significant variant allele frequency differences between the Croatian and average European population. To the left of zero are the variant allele frequencies that are higher in the Croatian population, and to the right of zero are variant allele frequencies that are higher in the European population. MAF – minor allele frequency.
Pharmacotherapy implications for the Croatian population based on the differences in absorption, distribution, metabolism, and excretion (ADME) gene frequencies between Croatian and gnomAD European populations
| Population | Drug | Gene | SNP | Variant allele* | Phenotype | Dosing (level of evidence) | Adverse reactions (level of evidence) |
|---|---|---|---|---|---|---|---|
| CRO | warfarin |
| rs9923231 | T ↑ | Express less VKORC1 enzyme | Decreased dose of the drug is required (1A) | Increased risk of over-anticoagulation (2A) |
| acenocoumarol | Decreased dose of the drug is required (2A, 1B, 2A) | Increased risk of hemorrhage (2A) | |||||
| CRO | warfarin |
| rs1799853 | T ↑ | Poor metabolizer | Decreased dose of the drug is required (1A) | Increased risk of over-anticoagulation (2A) Increased risk of bleeding (2A) |
| acenocoumarol | Decreased dose of the drug is required (2A, 1B, 2A) | Increased likelihood of overcoagulation | |||||
| phenytoin |
| Increased toxicity and increased adverse reactions (1A) | |||||
| CRO | bupropion |
| rs2279343 | G ↑ | Ultra rapid metabolizer |
| Patients with the genotype AG or GG may have increased metabolism of bupropion and increased concentrations of hydroxybupropion, a metabolite of bupropion, and may require an increased dose of the drug. (2A) |
| efavirenz |
| Patients with the AG and GG genotype and HIV may have increased clearance and decreased plasma concentration of efavirenz. (2A) | |||||
| EUR | cyclophosphamide and epirubicin |
| rs1695 | G ↓ | Decreased enzyme activity |
| 1) Decreased drug response
2) Increased severity of toxicity (2A) |
| platinum compounds |
| Decreased, but not absent, risk of toxicity (2A) | |||||
| fluorouracil and oxaliplatin |
| Better treatment outcome (increased response, increased overall survival time, and reduced risk of death) (2A) | |||||
| cisplatin |
| Increased risk of ototoxicity (2B) | |||||
| EUR | nicotine |
| rs1801272 | T ↓ | Poor metabolizer | Decreased metabolism of nicotine (2A) |
*variant allele more frequent (↑) or less frequent (↓) in Croatia (CRO) compared with gnomAD avarage (EUR).
Figure 2Proportion of the variant alleles in the Croatian population at CYP2C9*2, CYP2C9*3, and VKORC1 gene loci responsible for the anticoagulant drugs metabolism.