Literature DB >> 24381495

Screening of Genetic Polymorphisms of CYP3A4 and CYP3A5 Genes.

Jin Sol Lee1, Hyun Sub Cheong2, Lyoung Hyo Kim2, Ji On Kim2, Doo Won Seo3, Young Hoon Kim3, Myeon Woo Chung3, Soon Young Han4, Hyoung Doo Shin5.   

Abstract

Given the CYP3A4 and CYP3A5's impact on the efficacy of drugs, the genetic backgrounds of individuals and populations are regarded as an important factor to be considered in the prescription of personalized medicine. However, genetic studies with Korean population are relatively scarce compared to those with other populations. In this study, we aimed to identify CYP3A4/5 polymorphisms and compare the genotype distributions among five ethnicities. To identify CYP3A4/5 SNPs, we first performed direct sequencing with 288 DNA samples which consisted of 96 Koreans, 48 European-Americans, 48 African-Americans, 48 Han Chinese, and 48 Japanese. The direct sequencing identified 15 novel SNPs, as well as 42 known polymorphisms. We defined the genotype distributions, and compared the allele frequencies among five ethnicities. The results showed that minor allele frequencies of Korean population were similar with those of the Japanese and Han Chinese populations, whereas there were distinct differences from European-Americans or African-Americans. Among the pharmacogenetic markers, frequencies of CYP3A4*1B (rs2740574) and CYP3A5*3C (rs776742) in Asian groups were different from those in other populations. In addition, minor allele frequency of CYP3A4*18 (rs28371759) was the highest in Korean population. Additional in silico analysis predicted that two novel non-synonymous SNPs in CYP3A5 (+27256C>T, P389S and +31546T>G, I488S) could alter protein structure. The frequency distributions of the identified polymorphisms in the present study may contribute to the expansion of pharmacogenetic knowledge.

Entities:  

Keywords:  CYP3A4; CYP3A5; Cytochrome P450; Pharmacogenetics; SNP

Year:  2013        PMID: 24381495      PMCID: PMC3874433          DOI: 10.4196/kjpp.2013.17.6.479

Source DB:  PubMed          Journal:  Korean J Physiol Pharmacol        ISSN: 1226-4512            Impact factor:   2.016


INTRODUCTION

Given that genetic differences between individuals or populations can impact the efficacy of drugs, defining pharmacogenetic differences is regarded as an important factor to consider in the treatment of diseases and conditions with personalized medicine. Therefore, to enhance the prediction of efficacy and toxicity of drugs in individuals, recent pharmacogenetic studies have focused on phase I and phase II drug-metabolism related genes such as the N-acetyltransferase (NAT) family, the Cytochrome P450 (CYP) family, and the Uridine diphosphate glucuronosyl transferase (UGT) family [1-3]. The CYP3A family is a well-known phase I metabolism-related gene family and consists of four genes, CYP3A4, CYP3A5, CYP3A7, and CYP3A43, all of which are located in the 231-kb region of chromosome 7q21.1 [4]. It has been demonstrated that the CYP enzymes account for approximately 75% of metabolic reactions [5]. The CYP3A4 and CYP3A5 genes are known to perform a mono-oxygenase reaction, which is involved in several drug-related reactions such as bio-activation of medicines, excretion of drug compounds, and deactivation of drug compounds [6]. According to previous reports, approximately 30% of CYP enzymes showed a high expression level in the liver and intestine, and activities of CYP3A4 and CYP3A5 constituted approximately 36% of all CYP3A activity [7-9]. It was also reported that CYP3A4 and CYP3A5 polymorphisms affected the treatment of various diseases by changing the balance of drug metabolism [10-12]. In addition, it was demonstrated that the CYP enzymes showed genetic variation across individuals, with deficiencies occurring in 1 to 30% of populations, depending on ethnicity [13]. Therefore, a large number of studies were conducted to validate the effect of single-nucleotide polymorphisms (SNPs) of CYP3A4 and CYP3A5 on these polymorphic expressions and the risk of various diseases [14-16]. Previously, 22 and 11 types of pharmacogenetic markers were identified in CYP3A4 and CYP3A5, respectively (reviewed in [17]). Also, it is well-known that frequency differences of the genetic polymorphisms are responsible for diverse gene expressions which are related with various drug responses. For example, the high frequency of CYP3A5*3 allele in Caucasian led to a high area under curve value for cyclosporine metabolism [18]. Moreover, it was also demonstrated that the CYP3A5*6 and *7 alleles, which were responsible for loss of the protein synthesis, showed frequencies of 10 to 20% in African but were not found in other ethnicities [19]. A number of previous studies showed that the frequencies of the CYP3A4 and CYP3A5 polymorphisms were different based on ethnicities. However, genetic studies of the two genes with Korean population are insufficient. Therefore, we performed direct sequencing of CYP3A4 and CYP3A5 to define the genotype frequencies for known genetic polymorphisms and identify novel polymorphisms in a Korean population. Following this, we compared allele distributions in five different ethnic groups comprising 96 Koreans, 48 Japanese, 48 Han Chinese, 48 African-Americans, and 48 European-Americans.

METHODS

Study subjects

DNA samples were obtained from a total of 288 subjects consisting of 96 Koreans, 48 African-Americans, 48 European-Americans, 48 Japanese, and 48 Han Chinese. DNA samples from 96 unrelated Korean individuals were provided by the Center for Genome Science, Korea Centers for Disease Control and Prevention. DNA samples from other ethnic groups were obtained from a large panel of anonymous, unrelated DNA samples from the Human Variation Panels available at the Coriell Institute (Camden, NJ, USA).

Sequencing analysis of CYP3A4/5 genes

The promoter, all exons, and exon-intron boundaries (±50 bp) were PCR-amplified and directly sequenced using the ABI PRISM 3730 genetic analyzer (Applied Biosystems, Foster City, CA, USA). Primers for the amplification and sequencing analysis were designed using Primer3 software [20] based on the GenBank sequence of respective genes (Ref. genome seq.: NG_008421.1 and NG_007938.1 for CYP3A4 and CYP3A5, respectively). The sequences of primers are displayed in Supplementary Table 1. Sequence variants were verified by chromatograms using SeqMan software (Supplementary Fig. 1).

Statistical analysis

The χ2 tests were used to determine whether individual variants were in Hardy-Weinberg equilibrium (HWE) at each locus in each population. HaploView software was used for obtaining linkage disequilibrium (LD) blocks of each gene [21,22]. The Helical Wheel project, web-based software (http://cti.itc.virginia.edu/~cmg/Demo/wheel/wheelApp.html), was used to predict the functional role of novel SNPs.

RESULTS

In the present study, we identified the CYP3A4/5 polymorphisms in five ethnicities using direct sequencing, and compared the genotype distributions among ethnicities. The direct sequencing of CYP3A4/5 was performed in a total of 288 healthy subjects consisting of 96 Koreans, 48 European-Americans, 48 African-Americans, 48 Han Chinese, and 48 Japanese. From the direct sequencing, we obtained a total of 15 novel polymorphisms which consist of 3 CYP3A4 SNPs (-1887T>C, -1258A>C, and +20157A>G (V318V) and 12 CYP3A5 variants (-1308C>T, -352A>G, -344A>G, +3626T>A, +7070T>A, +7074G>A, +7078T>A, +7080G >A, +7355T>C, +12801T>C, +27256C>T (P389S), and +31546T>G (I488S) (Table 1). Also, we observed 18 and 24 previously reported SNPs in CYP3A4/5 genes, respectively (Table 1). Locations of the polymorphisms are shown in each physical gene map along with their minor allele frequencies (MAFs) (Fig. 1).
Table 1

Results from direct sequencing of CYP3A4 and CYP3A5 with five different ethnic groups

Variants which are monomorphic in all ethnicities are not shown in the Table. A hyphen (-) indicates that the variant was monomorphic in the particular ethnicity. Data not applicable are marked with a dot (.).

†These polymorphisms were newly identified in this study.

Fig. 1

(A) A physical map of CYP3A4 with minor allele frequencies using results from Korean, African-American, European-American, Han Chinese, and Japanese populations. Novel SNPs are labeled with their locations and allele changes. (B) A physical map of CYP3A5 with minor allele frequencies using results from Korean, African-American, European-American, Han Chinese, and Japanese populations. Novel SNPs are labeled with their locations and allele changes.

Most of the CYP3A4 and CYP3A5 polymorphisms showed low frequencies or monomorphic genotypes. In general, the MAFs of CYP3A4 polymorphisms were similar across the Asian populations, whereas MAFs of African-American and European-American populations differed from those of Asians. Among the pharmacogenetic markers, MAFs of CYP3A4*1B (rs2740574) were detected in European-Americans (0.042) and African-Americans (0.271), whereas the polymorphism was not detected in any Asian populations. On the other hand, rs2242480 was identified with a low frequency in the European-American population (0.083) compared to other ethnicities (>0.200), and three SNPs (rs12114000, rs1851426, and rs2740574) were identified as having high frequencies among African-Americans (0.281, 0.229, and 0.271, respectively), but was almost monomorphic in other populations. Detailed information regarding SNPs in CYP3A4 is displayed in Table 1. In CYP3A5, CYP3A5*3C (rs776746) showed higher MAFs in Asian populations (0.255, Korean; 0.344, Han Chinese; 0.260, Japanese) than in other ethnic groups (0.198, African-American; 0.085, European-American). Other two polymorphisms (rs3823812 and rs4646453) were also detected that had higher MAFs among Asians (>0.200) compared to other populations (<0.060). On the other hand, the MAF of rs15524 was lowest in European-Americans (0.031), while the frequencies in other populations were higher than 0.200. CYP3A5*6 (rs10264272) and CYP3A5*7 (rs41303343) were detected with high as having MAFs in African-Americans (0.188 and 0.146, respectively), but was almost monomorphic in other populations. Detailed information regarding SNPs in CYP3A5 is displayed in Table 1. p-values for Hardy-Weinberg equilibrium of each polymorphism were calculated for the five ethnic groups (Supplementary Table 2). All of CYP3A4 alleles were in Hardy-Weinberg equilibrium. However, in CYP3A5, p-values of rs28365067 in Japanese and +7080G>A in Han Chinese were not in Hardy-Weinberg equilibrium. LD structures of CYP3A4 and CYP4A5 in five ethnicities were calculated by using SNPs which were identified in more than two ethnicities, and the results were displayed in Supplementary Fig. 2. However, LD structures were not clearly constructed due to the SNPs with low or monomorphic frequencies.

DISCUSSION

CYP3A4 and CYP3A5 enzymes are regarded as important markers in the development of the personalized medicine due to the enzymes' impact on efficacy of drugs based on genetic background of individuals or populations. Therefore, we conducted the present study to compare genetic differences in the CYP3A4 and CYP3A5 genes among five ethnicities. The sequencing results showed that many pharmacogenetic markers in CYP3A4 and CYP3A5 were either monomorphic or had low frequencies. This trend was consistent with previous observations in which a large number of CYP3A polymorphisms exhibited low frequencies (reviewed in [23]). This indicates that a larger sample size may be needed to detect the polymorphisms. Among the pharmacogenetic markers in CYP3A4, CYP3A4*1B (rs2740574) is known to be the polymorphism that increases expression by changing the transcription factor binding affinity [24]. Recently, it was demonstrated that CYP3A4*1B carriers showed higher drug clearance for anti-cancer agents, such as docetaxel and cyclophosphamide, than wild type subjects [25-27]. However, although CYP3A4*1B plays an important role in the enzyme activity, the marker has not been detected in Asian populations in previous studies [28-30]. Our results also showed that CYP3A4*1B was not detected in Asians, including a Korean population. These observations suggest that the alteration of metabolism of docetaxel and cyclophosphamide by CYP3A4*1B might be difficult to find in Asian populations. The other pharmacogenetic marker, CYP3A4*18 (rs28371759) has been reported as the polymorphism that accounts for bidirectional enzyme activity. Previous studies showed that the polymorphism increased the turnover rate of testosterone and chlorpyrifos, but decreased the metabolic turnover rate of midazolam and nifedipine [31-35]. In addition, previous studies reported that CYP3A4*18 was frequently identified in Asian populations such as Chinese (frequency, 0.008~0.01), Japanese (frequency, 0.013), Koreans (frequency, 0.012~0.017) and Malaysians (frequency, 0.021) [33,36-40]. The result of the present study also showed that the polymorphism was detected in two Asian populations (Korean, 0.021 and Japanese, 0.010), while other populations showed monomorphic genotypes. Therefore, Asian populations may have more genetic protection against toxicity of chlorpyrifos than other populations. Moreover, Asian populations tend to experience an effective dose with lower amounts of midazolam and nifedipine for treatment of seizure and cardiac/circulatory disorders. A recent study reported that the CYP3A4*22 (rs35599367) allele played an important role in the hepatic CYP3A4 expression and CYP3A4 activity, as well as alteration of statin, tacrolimus and cyclosporine metabolism [17]. This SNP was not found in our subjects. According to the NCBI database, the polymorphism had a frequency of around 0.025 in only Caucasian population. Therefore, no detection of the polymorphisms in the present study may occur due to the low frequency of the allele. In CYP3A5, CYP3A5*3C (rs776746) is well known as the polymorphism that causes severe decrease of enzyme activity by a splicing defect [41]. It has been reported that individuals with CYP3A5*3C show a lower clearance rate of drugs such as carbamazepine, vincristine, and ifosfamide, which are used for treatment using anticonvulsants, moodstabilizers, and anti-cancer agents [42-45]. In the present study, we observed that the frequency of the CYP3A5*3C polymorphism was relatively higher in Asian populations than in other populations (Korean, 0.255; Han Chinese, 0.344; Japanese, 0.260 vs. African-American, 0.198; European-American, 0.085). Therefore, identifying the CYP3A5*3C genotype could be important for application of carbamazepine, vincristine, and ifosfamide in treating Asian epilepsy, bipolar disorder, trigeminal neuralgia, and cancer patients. Due to the important roles of non-synonymous SNPs in protein functions, we selected exonic variants that cause amino acid change (+27256C>T, P389S and +31546T>G, I488S in CYP3A5) so as to predict the functional role of the SNPs using web-based software. Results from the analysis showed that the amino acid substitutions by the polymorphisms could change the charge of residues from nonpolar to polar. These alterations of amino acid properties can cause a change in protein structure [46]. Therefore, the two polymorphisms may affect enzyme activity through the modification of protein structure, although further functional studies would be required to confirm the result. Conclusively, we performed direct sequencing of the CYP3A4/5 in five ethnicities to identify SNPs, and compared the frequency differences of the polymorphisms among ethnicities. From the analysis, we obtained a total of 57 SNPs composed of 15 novel polymorphisms and 42 known variants. Our results indicated that genotype frequencies of Asian populations were different from those of other ethnic groups. Additional in silico analysis revealed that two novel non-synonymous SNPs could cause alteration of protein folding. Although our LD structures were not accurately calculated due to the low frequencies of the SNPs, there appears to be no linkage between novel polymorphisms and known pharmacogenetic marker. Further studies with large scale sample may be required to obtain reliable results, as well as exact p-values for Hardy-Weinberg equilibrium. The results of the present study may be helpful for further understanding of pharmacogenetics.
  46 in total

1.  Increased transcriptional activity of the CYP3A4*1B promoter variant.

Authors:  B Amirimani; B Ning; A C Deitz; B L Weber; F F Kadlubar; T R Rebbeck
Journal:  Environ Mol Mutagen       Date:  2003       Impact factor: 3.216

Review 2.  Pharmacogenomics: bench to bedside.

Authors:  Richard Weinshilboum; Liewei Wang
Journal:  Nat Rev Drug Discov       Date:  2004-09       Impact factor: 84.694

Review 3.  Molecular and physical mechanisms of first-pass extraction.

Authors:  S D Hall; K E Thummel; P B Watkins; K S Lown; L Z Benet; M F Paine; R R Mayo; D K Turgeon; D G Bailey; R J Fontana; S A Wrighton
Journal:  Drug Metab Dispos       Date:  1999-02       Impact factor: 3.922

4.  Population pharmacokinetics of cyclosporine in kidney and heart transplant recipients and the influence of ethnicity and genetic polymorphisms in the MDR-1, CYP3A4, and CYP3A5 genes.

Authors:  Dennis A Hesselink; Teun van Gelder; Ron H N van Schaik; Aggie H M M Balk; Ilse P van der Heiden; Thea van Dam; Marloes van der Werf; Willem Weimar; Ron A A Mathot
Journal:  Clin Pharmacol Ther       Date:  2004-12       Impact factor: 6.875

Review 5.  Genetic contribution to variable human CYP3A-mediated metabolism.

Authors:  Jatinder K Lamba; Yvonne S Lin; Erin G Schuetz; Kenneth E Thummel
Journal:  Adv Drug Deliv Rev       Date:  2002-11-18       Impact factor: 15.470

Review 6.  CYP3A4*22: promising newly identified CYP3A4 variant allele for personalizing pharmacotherapy.

Authors:  Laure Elens; Teun van Gelder; Dennis A Hesselink; Vincent Haufroid; Ron H N van Schaik
Journal:  Pharmacogenomics       Date:  2013-01       Impact factor: 2.533

7.  Associations between drug metabolism genotype, chemotherapy pharmacokinetics, and overall survival in patients with breast cancer.

Authors:  William P Petros; Penelope J Hopkins; Susan Spruill; Gloria Broadwater; James J Vredenburgh; O Michael Colvin; William P Peters; Roy B Jones; Jeff Hall; Jeffrey R Marks
Journal:  J Clin Oncol       Date:  2005-08-08       Impact factor: 44.544

Review 8.  Pharmacogenetic biomarkers: cytochrome P450 3A5.

Authors:  Iain A M MacPhee
Journal:  Clin Chim Acta       Date:  2011-10-18       Impact factor: 3.786

9.  The genetic determinants of the CYP3A5 polymorphism.

Authors:  E Hustert; M Haberl; O Burk; R Wolbold; Y Q He; K Klein; A C Nuessler; P Neuhaus; J Klattig; R Eiselt; I Koch; A Zibat; J Brockmöller; J R Halpert; U M Zanger; L Wojnowski
Journal:  Pharmacogenetics       Date:  2001-12

Review 10.  Cytochrome p450 and chemical toxicology.

Authors:  F Peter Guengerich
Journal:  Chem Res Toxicol       Date:  2007-12-06       Impact factor: 3.739

View more
  15 in total

1.  Genetic analysis of drug metabolizing phase-I enzymes CYP3A4 in Tibetan populations.

Authors:  Lijun Liu; Yu Chang; Shuli Du; Xugang Shi; Hua Yang; Longli Kang; Tianbo Jin; Dongya Yuan; Yongjun He
Journal:  J Genet       Date:  2017-06       Impact factor: 1.166

2.  Warfarin dose requirement in Turkish patients: the influences of patient characteristics and polymorphisms in CYP2C9, VKORC1 and factor VII.

Authors:  E Yildirim; K Erol; A Birdane
Journal:  Hippokratia       Date:  2014 Oct-Dec       Impact factor: 0.471

3.  Association of cytochromes P450 3A4*22 and 3A5*3 genotypes and polymorphism with response to simvastatin in hypercholesterolemia patients.

Authors:  Elbatool G Elalem; Musharraf Jelani; Alaa Khedr; Aftab Ahmad; Tareef Y Alaama; Mohamed Nabeel Alaama; Huda M Al-Kreathy; Zoheir A Damanhouri
Journal:  PLoS One       Date:  2022-07-15       Impact factor: 3.752

Review 4.  Pharmacogenetics of Breast Cancer Treatments: A Sub-Saharan Africa Perspective.

Authors:  Keneuoe Cecilia Nthontho; Andrew Khulekani Ndlovu; Kirthana Sharma; Ishmael Kasvosve; Daniel Louis Hertz; Giacomo Maria Paganotti
Journal:  Pharmgenomics Pers Med       Date:  2022-06-21

5.  Metabolomics Analysis of Hormone-Responsive and Triple-Negative Breast Cancer Cell Responses to Paclitaxel Identify Key Metabolic Differences.

Authors:  Delisha A Stewart; Jason H Winnike; Susan L McRitchie; Robert F Clark; Wimal W Pathmasiri; Susan J Sumner
Journal:  J Proteome Res       Date:  2016-08-03       Impact factor: 4.466

6.  Genotype and Allele Frequency of CYP3A4 -392A>G in Turkish Patients with Major Depressive Disorder.

Authors:  Zuhal Uçkun; Bora Baskak; Hatice Özdemir; Erguvan Tuğba Özel-Kizil; Halise Devrimci-Özgüven; Halit Sinan Süzen
Journal:  Turk J Pharm Sci       Date:  2018-07-17

7.  Rapid and ultra-rapid metabolizers with CYP2C19*17 polymorphism do not respond to standard therapy with proton pump inhibitors.

Authors:  Neha Deshpande; Sharanya V; Ravi Kanth V V; Murthy H V V; Sasikala M; Rupa Banerjee; Manu Tandan; Nageshwar Reddy D
Journal:  Meta Gene       Date:  2016-06-18

Review 8.  Genetic Determinants in HLA and Cytochrome P450 Genes in the Risk of Aromatic Antiepileptic-Induced Severe Cutaneous Adverse Reactions.

Authors:  Ali Fadhel Ahmed; Chonlaphat Sukasem; Majeed Arsheed Sabbah; Nur Fadhlina Musa; Dzul Azri Mohamed Noor; Nur Aizati Athirah Daud
Journal:  J Pers Med       Date:  2021-05-07

9.  Potential utility of precision medicine for older adults with polypharmacy: a case series study.

Authors:  Joseph Finkelstein; Carol Friedman; George Hripcsak; Manuel Cabrera
Journal:  Pharmgenomics Pers Med       Date:  2016-04-15

10.  Effects of Carbamazepine and Valproate on Serum Aspartate Aminotransferase, Alanine Aminotransferase and Gamma - Glutamyltransferase in Children.

Authors:  Feriha Hadzagic-Catibusic; Edo Hasanbegovic; Melika Melunovic; Smail Zubcevic; Sajra Uzicanin
Journal:  Med Arch       Date:  2017-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.