Printer Friendly

Genotype and Allele Frequency of CYP3A4-392A>G in Turkish Patients with Major Depressive Disorder/Major Depresif Bozuklugu Olan Turk Hastalarinda CYP3A4 -392A>G Genotip ve Allel Frekansi.

INTRODUCTION

Cytochrome P450 (CYP) is the major metabolizing enzymatic system in humans and CYP enzymes are responsible for the metabolism of exogenous compounds, including most clinically used drugs, mutagens, carcinogens, (1,2) and some endogenous compounds, such as prostaglandins, steroids, vitamins, fatty acid derivatives and retinoic acid derivatives, and thromboxanes. (2,3) CYP enzymes are responsible for the biotransformation of lipophilic compounds to polar metabolites, which can be excreted by the urine or bile. There are three major CYP families that encode enzymes that play an important role in phase I metabolism: CYP1, CYP2, and CYP3. (3) The CYP3A subfamily is the most abundant CYP enzyme and represents about 30% of the total CYP in the human liver. (2) Approximately 65% of current drugs used are metabolized by CYP enzymes and 45-60% of clinically administered drugs, and exogenous and endogenous compounds such as streoids, are metabolized by the CYP3A subfamily. (4,5) The CYP3A subfamily consists of 4 members: CYP3A4, CYP3A5, CYP3A7, and CYP3A43 (5) The CYP3A4 enzyme is the most abundant CYP isoform in the liver and intestine, representing 60% and 70% of the total P450 amount, respectively. CYP3A4 is responsible for the metabolism of more than 50% of commonly prescribed drugs and metabolizes typical antipsychotic medications, antidepressant drugs (Table 1). (6) Its interindividual hepatic expression varies 60-fold, resulting in therapeutic failure, unpredictable adverse effects or severe drug toxicity. (7)

The CYP3A4 gene is located on chromosome 7q21.3-q22.1, is 27,592 base pairs (bp) long, and has 13 exons. (3,8) Genetic polymorphisms of CYP3A4 were unknown until 1996. (8) However, nowadays, CYP3A4 is known to be polymorphic, and more than 30 single nucleotide polymorphisms have been described in the CYP3A4 gene. The most common single-nucleotide polymorphism -392A>G in the promoter region of the CYP3A4 gene has been described. CYP3A4 -392A>G (rs2740574) is also known as CYP3A4*1B. It is known that the CYP3A4*1B polymorphism alters the transcription efficiency of the gene and hence the overall activity of CYP3A4. (9)

Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for mild-to-severe major depressive disorder (MDD). (10) The objective of this study was to assess the genotypic and allelic frequencies of the CYP3A4*1B in Turkish patients with MDD receiving SSRIs and to compare the results with frequencies in other ethnic groups.

MATERIALS AND METHODS

Subjects

The study was conducted on 84 Turkish patients with MDD at the Departments of Psychiatry, Schools of Medicine, Ankara University and Kirikkale University, Turkey. All participants were administered with SSRIs. Approval for this study was obtained from the Ethics Committee of the Ankara University (21 April 2008, protocol no: 128-3581). The study was conducted in accordance with Good Clinical Practices and the Helsinki Declaration. All subjects gave their written informed consent to participate in this study. The demographic data of the patients with MDD are shown in Table 2.

Blood sampling

Blood samples (10 mL) were collected in vacutainer tubes containing EDTA as an anticoagulant between 08:00 and 09:00 a.m. at the 4th and/or 6th weeks of treatment. The Wizard Genomic DNA Purification Kit (Promega) was used to isolate genomic DNA from the cell fraction. DNA yields were determined by measuring the absorbance at 260 nm ([A.sub.260]). All samples were stored at -80[degrees]C until analysis.

Genotyping

The CYP3A4*1B (rs 2740574; -392A>G) polymorphism was identified using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method of Cavalli et al. (11) with minor modifications. The primers employed were F: 5'-GGAATGAGGACAGCCATAGAGACAAGGGGA-3', R: 5'CCTTTCAGCTCTGTGT TGCTCTTTGCTG-3'. PCR was performed in a 25-[micro]L reaction mixture containig 300-500 ng of genomic DNA, 10 pmol of each primer, 0.2 mM each deoxynucleotidetriphosphate, 10 x PCR buffer, 1.5 mM Mg[Cl.sub.2], and 1.25 unit of Taq polymerase (Fermentase) on the MBS Satellite Thermal Cycler (Thermo, UK). After initial denaturation for 5 min at 97[degrees]C, PCR was performed for 30 cycles of 60 s at 95[degrees]C, 90 s at 60[degrees]C, 60 s at 72[degrees]C, and with a final step of 72[degrees]C for 10 min for elongation. No added DNA (negative control) reactions were included in each PCR analysis to ensure that the agents contained no contaminating DNA. The PCR product (385 bp) was analyzed electrophoretically on a 2% agarose gel stained with ethidium bromide (500 ng/mL). Ten microliters of the PCR product were digested at 37[degrees]C overnight with 10 U of Mboll with the appropriate buffer in a total volume of 20 [micro]L. As shown in Figure 1, the digestion resulted in fragments of 175, 169, and 41 bp for the AA (wild type), and fragments of 210 and 175 bp for the GG (mutant). The digested fragments were electrophoresed on a 2% agarose gel and visualized using ethidium bromide.

Statistical analysis

Genotype counting was used to calculate the allele and genotype frequencies. The observed and expected genotype frequencies of CYP3A4 were compared using the Hardy-Weinberg equilibrium. The comparison of the allele frequencies in the present investigation with those in other populations was made using the chi-square test. P values <0.05 and <0.001 were considered statistically significant.

RESULTS

CYP3A4*1B (-392A>G) polymorphism analysis was conducted on 84 Turkish patients with MDD. Of the 84 patients, 68 (81% of patients) were female, whereas 16 (19% of them) were male (p>0.05) (Table 2). The body weight of the patients varied from 45.5 to 105 kg, with a mean of 70.12[+ or -]14.39 kg. The body mass index (of the patients) ranged from 16.1 to 41.14 kg/[m.sup.2], with a mean of 25.94[+ or -]5.14 kg/[m.sup.2]. In the study, 53 subjects (63%) were aged <40 years, and 31 subjects (37%) were aged >40 years. The frequencies of the AA, AG, and GG genotypes were 0.976, 0.012, and 0.012, respectively. According to these results, the frequencies of A and G alleles were 0.982 and 0.018, respectively (Table 2). These results were consistent with the expected genotype frequencies of the Hardy-Weinberg equilibrium (p>0.05).

DISCUSSION

Factors that can influence the response of a patient to any given drug depend on intrinsic (e.g., genetic and non-genetic factors such as sex, age, organ dysfunctions, disease state, and race/ethnicity) and extrinsic factors (e.g., use of alcohol, smoking, diet, and concomitant medication). (12,13) Genetics is estimated to account for 20 to 95% of variability in drug effects and disposition. (14) It has been shown that much of this variability is produced by genetic polymorphisms of the CYP enzymes. (4) CYP enzymes perform extensive structural differences because of genetic polymorphisms in the corresponding genes, and thus causing different enzymatic activities and giving rise to great intra- and inter-population variation in drug efficacy and adverse reactions. (15)

Approximately 65% of drugs in current use are metabolized by CYP enzymes, and 45-60% of clinically administered drugs, exogenous and endogenous compounds such as streoids, are metabolized by the CYP3A subfamily. (4,5) CYP3A4 is a polymorphic enzyme, and its interindividual hepatic expression varies 60-fold. (7) CYP3A4*1B, described as the most common variant, has been speculated to have reduced activity. (16) Significant differences in allele frequencies of CYP3A variant occur among ethnic groups. (16) Polymorphisms in human xenobiotic metabolizing genes show parallelism in ethnic, racial, and geographic distribution, and the ethnic-specific impact on CYP genes is known. (9)

In this study, we aimed to investigate the CYP3A4*1B allele frequencies in Turkish patients with MDD receiving SSRIs and to compare the results with the frequencies of other ethnic groups. The allele frequencies in the Turkish population were 0.982 and 0.018 for *1A and *1B alleles, respectively (Table 3). A comparison of the results of this investigation with the results of the other studies is presented in Table 3. Sayitoglu et al. (16) reported that *1B allele frequency was 0.014 in healthy Turkish subjects. Dogruer et al. (17) reported that *1B allele frequency was 0.033 in Turkish patients with familial Mediterranean fever. Gurocak et al. (18) also reported that *1B allele frequency was 0.044 and 0.061 for Turkish children with lower urinary tract symptoms and healthy Turkish children, respectively. The allele frequencies of these studies were not significantly different from the results of this study (p>0.05). However, when compared with black subjects, the allele frequency of Turkish subjects showed marked differences. The *1B variant allele frequencies were identified more frequently in African-American, African Brazilians, African, and Ghanaian individuals when compared with Turkish subjects (p<0.001). Furthermore, *1B variant allele frequencies were also reported to be higher in Caucasian American (Philadelphia), Saudi, European-Brazilians, Hispanic populations when compared with Turkish populations (p<0.05). The distribution of *1A and *1B alleles in Turkish populations was similar to those reported for Caucasians (Germany), Australian, European, Finnish, Spanish, Portuguese, Caucasians American (Southern California), Ducth Caucasian, and Scottish populations (Table 3).

The allelic frequency of CYP3A4*1B changes among different ethnic groups; CYP3A4*1B allelic frequency is dominant in black subjects with a range of 38.4 to 82.4% (Table 3). On the other hand, this polymorphism is very rare in Asian ethnic groups, including Vietnamese and Jordanian groups, ranging from 0 to 9.0%. This polymorphism is absent in East Asian populations including the Japanese, Chinese, and Taiwanese, and present in White ethnic groups with a range of 1.8 to 14.3%. Consequently, it seems that the CYP3A4*1B polymorphism is more frequent in White ethnic groups than in East Asian populations, and is more common in black subjects than in White ethnic groups. There is a minimal clinical effect of the CYP3A4*1B polymorphism on Asian ethnic groups. However, the CYP3A4*1B polymorphism seems to be more clinically important in black subjects.

CONCLUSION

The study introduces evidence of a low frequency of CYP3A4*1B allele in Turkish patients and compared this frequency with those of other ethnic groups. Given the effect of CYP3A4 on the efficacy of drugs, the genetic backgrounds of individuals and populations are accepted as a significant factor to be considered in the recipe of individualized medicine. (19) Determining the expression of CYP3A4 may detect drug safety and efficacy and therefore help people to use the right dose of drugs. (15) CYP3A4*1B should be taken into consideration in populations where the allele frequency is high. On the other hand, a larger sample size would be needed to determine the CYP3A4*1B polymorphism in populations where the allele frequency is low.

ACKNOWLEDGEMENTS

This work was supported by the Scientific and Technological Research Council of Turkey (Project: 109S147).

Conflict of Interest: No conflict of interest was declared by the authors.

REFERENCES

(1.) Ota T, Kamada Y, Hayashida M, Iwao-Koizumi K, Murata S, Kinoshita K. Combination Analysis in Genetic Polymorphisms of Drug-Metabolizing Enzymes CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A5 in the Japanese Population. Int J Med Sci. 2015;12:78-82.

(2.) Ruzilawati AB, Suhaimi AW, Gan SH. Genetic polymorphisms of CYP3A4: CYP3A4*18 allele is found in five healthy Malaysian subjects. Clin Chim Acta. 2007;383:158-162.

(3.) Nogal A, Coelho A, Catarino R, Morais A, Lobo F, Medeiros R. The CYP3A4 *1B polymorphism and prostate cancer susceptibility in a Portuguese population. Cancer Genet Cytogenet. 2007;177:149-152.

(4.) Maruf AA, Ahmed MU, Azad MA, Ahmed M, Hasnat A. CYP3A genotypes in Bangladeshi tuberculosis patients. Bangladesh Med Res Counc Bull. 2012;38:1-5.

(5.) Salameh G, Al Hadidi K, El Khateeb M. Genetic polymorphisms of the CYP3A4, CYP3A5, CYP3A7 and CYP1A2 among the Jordanian population. Environ Toxicol Pharmacol. 2012;34:23-33.

(6.) Zhou Q, Yu X, Shu C, Cai Y, Gong W, Wang X, Wang DM, Hu S. Analysis of CYP3A4 genetic polymorphisms in Han Chinese. J Hum Genet. 2011;56:415-422.

(7.) Keshava C, Mccanlies EC, Weston A. CYP3A4 Polymorphisms-Potential Risk Factors for Breast and Prostate Cancer: A HuGE Review. Am J Epidemiol. 2004;160:825-841.

(8.) Kumar V, Singh S, Yadav CS, Ahmed RS, Gupta S, Pasha ST, Tripathi AK, Banerjee BD. CYP1A1 and CYP3A4 polymorphic variations in Delhi population of Northern India. Environ Toxicol Pharmacol. 2010;29:126-130.

(9.) Ayano G. Psychotropic Medications Metabolized by Cytochromes P450 (CYP) 3A4 Enzyme and Relevant Drug Interactions: Review of Articles. Austin J Psychiatry Behav Sci. 2016;3:1-3.

(10.) Uckun Z, Baskak B, Ozdemir H, Ozel-Kizil ET, Devrimci Ozguven H, Suzen HS. Association Between the 5-HTTLPR Polymorphism and Response to Citalopram in Turkish Patients with Major Depressive Disorder. Turk J Pharm Sci. 2016;13:145-158.

(11.) Cavalli SA, Hirata MH, Hirata RD. Detection of MboII polymorphism at the 5' promoter region of CYP3A4. Clin Chem. 2001;47:348-351.

(12.) Uckun Z, Baskak B, Ozel-Kizil ET, Ozdemir H, Devrimci Ozguven H, Suzen HS. The impact of CYP2C19 polymorphisms on citalopram metabolism in patients with major depressive disorder. J Clin Pharm Ther. 2015;40:672-679.

(13.) Huang SM, Goodsaid F, Rahman A, Frueh F, Lesko LJ. Application of Pharmacogenomics in Clinical Pharmacology. Toxicol Mech Methods. 2006;16:89-99.

(14.) Kerb R. Implications of genetic polymorphisms in drug transporters for pharmacotherapy. Cancer Lett. 2006;234:4-33.

(15.) Jin T, Yang H, Zhang J, Yunus Z, Sun Q, Geng T, Chen C, Yang J. Polymorphisms and phenotypic analysis of cytochrome P450 3A4 in the Uygur population in northwest China. Int J Clin Exp Pathol. 2015;8:7083-7091.

(16.) Sayitoglu MA, Yildiz I, Hatirnaz O, Ozbek U. Common Cytochrome p4503A (CYP3A4 and CYP3A5) and Thiopurine S-Methyl Transferase (TPMT) Polymorphisms In Turkish Population. Turk J Med Sci. 2006;36:11-15.

(17.) Dogruer D, Tug E, Bes C, Soy M. Lack of an effect of CYP3A4 and MDR1 gene polymorphisms on colchicine pharmacogenetics in the treatment of Familial Mediterranean fever. Genet Mol Res. 2013;12:3521-3528.

(18.) Gurocak S, Konac E, Ure I, Senol C, Onen IH, Sozen S, Menevse A. The Impact of Gene Polymorphisms on the Success of Anticholinergic Treatment in Children with Overactive Bladder. Dis Markers. 2015;2015:732686.

(19.) Lee JS, Cheong HS, Kim LH, Kim JO, Seo DW, Kim YH, Chung MW, Han SY, Shin HD. Screening of Genetic Polymorphisms of CYP3A4 and CYP3A5 Genes. Korean J Physiol Pharmacol. 2013;17:479-484.

(20.) Dally H, Bartsch H, Jager B, Edler L, Schmezer P, Spiegelhalder B, Dienemann H, Drings P, Kayser K, Schulz V, Risch A. Genotype relationships in the CYP3A locus in Caucasians. Cancer Lett. 2004;207:95-99.

(21.) Spurdle AB, Goodwin B, Hodgson E, Hopper JL, Chen X, Purdie DM, McCredie MR, Giles GG, Chenevix-Trench G, Liddle C. The CYP3A4*1B polymorphism has no functional significance and is not associated with risk of breast or ovarian cancer. Pharmacogenetics. 2002;12:355-366.

(22.) Garsa AA, McLeod HL, Marsh S. CYP3A4 and CYP3A5 genotyping by Pyrosequencing. BMC Med Genet. 2005;6:19.

(23.) Paris PL, Kupelian PA, Hall JM, Williams TL, Levin H, Klein EA, Casey G, Witte JS. Association between a CYP3A4 Genetic Variant and Clinical Presentation in African-American Prostate Cancer Patients. Cancer Epidemiol Biomarkers Prev. 1999;8:901-905.

(24.) Sata F, Sapone A, Elizondo G, Stocker P, Miller VP, Zheng W, Raunio H, Crespi CL, Gonzalez FJ. CYP3A4 allelic variants with amino acid substitutions in exons 7 and 12: Evidence for an allelic variant with altered catalytic activity. Clin Pharmacol Ther. 2000;67:48-56.

(25.) Gervasini G, Garcia-Martin E, Ladero JM, Pizarro R, Sastre J, Martinez C, Garcia M, Diaz-Rubio M, Agundez JA. Genetic variability in CYP3A4 and CYP3A5 in primary liver, gastric and colorectal cancer patients. BMC Cancer. 2007;7:118.

(26.) van Schaik RH, de Wildt SN, van Iperen NM, Uitterlinden AG, van den Anker JN, Lindemans J. CYP3A4-V Polymorphism Detection by PCR-Restriction Fragment Length Polymorphism Analysis and Its Allelic Frequency among 199 Dutch Caucasians. Clin Chem. 2000;46:1834-1836.

(27.) Tayeb MT, Clark C, Ameyaw MM, Haites NE, Evans DA, Tariq M, Mobarek A, Ofori-Adjei D, McLeod HL. CYP3A4 promoter variant in Saudi, Ghanaian and Scottish Caucasian populations. Pharmacogenetics. 2000;10:753-756.

(28.) Zeigler-Johnson CM, Walker AH, Mancke B, Spangler E, Jalloh M, McBride S, Deitz A, Malkowicz SB, Ofori-Adjei D, Gueye SM, Rebbeck TR. Ethnic Differences in the Frequency of Prostate Cancer Susceptibility Alleles at SRD5A2 and CYP3A4. Hum Hered. 2002;54:13-21.

(29.) Rebbeck TR, Jaffe JM, Walker AH, Wein AJ, Malkowicz SB. Modification of Clinical Presentation of Prostate Tumors by a Novel Genetic Variant in CYP3A4. J Natl Cancer Inst. 1998;90:1225-1229.

(30.) Kohlrausch FB, Carracedo A, Hutz MH. Characterization of CYP1A2, CYP2C19, CYP3A4 and CYP3A5 polymorphisms in South Brazilians. Mol Biol Rep. 2014;41:1453-1460.

(31.) Walker AH, Jaffe JM, Gunasegaram S, Cummings SA, Huang CS, Chern HD, Olopade OI, Weber BL, Rebbeck TR. Characterization of an allelic variant in the niphedipine-specific element of CYP3A4: Ethnic distribution and implications for prostate cancer risk. Mutation in Brief no. 191. Online. Hum Mutat. 1998;12:289.

(32.) Ando Y, Tateishi T, Sekido Y, Yamamoto T, Satoh T, Hasegawa Y, Kobayashi S, Katsumata Y, Shimokata K, Saito H. Re: Modification of clinical presentation of prostate tumors bya novel genetic variant in CYP3A4. J Natl Cancer Inst. 1999;91:1587-1590.

(33.) Ball SE, Scatina J, Kao J, Ferron GM, Fruncillo R, Mayer P, Weinryb I, Guida M, Hopkins PJ, Warner N, Hall J. Population distribution and effects on drug metabolism of a genetic variant in the 5' promoter region of CYP3A4. Clin Pharmacol Ther. 1999;66:288-294.

(34.) Fukushima-Uesaka H, Saito Y, Watanabe H, Shiseki K, Saeki M, Nakamura T, Kurose K, Sai K, Komamura K, Ueno K, Kamakura S, Kitakaze M, Hanai S, Nakajima T, Matsumoto K, Saito H, Goto Y, Kimura H, Katoh M, Sugai K, Minami N, Shirao K, Tamura T, Yamamoto N, Minami H, Ohtsu A, Yoshida T, Saijo N, Kitamura Y, Kamatani N, Ozawa S, Sawada J. Haplotypes of CYP3A4 and Their Close Linkage With CYP3A5 Haplotypes in a Japanese Population. Hum Mutat. 2004;23:100.

(35.) Veiga MI, Asimus S, Ferreira PE, Martins JP, Cavaco I, Ribeiro V, Hai TN, Petzold MG, Bjorkman A, Ashton M, Gil JP. Pharmacogenomics of CYP2A6, CYP2B6, CYP2C19, CYP2D6, CYP3A4, CYP3A5 and MDR1 in Vietnam. Eur J Clin Pharmacol. 2009;65:355-363.

(36.) Yousef AM, Bulatova NR, Newman W, Hakooz N, Ismail S, Qusa H, Zahran F, Anwar Ababneh N, Hasan F, Zaloom I, Khayat G, Al-Zmili R, Naffa R, Al-Diab O. Allele and genotype frequencies of the polymorphic cytochrome P450 genes (CYP1A1, CYP3A4, CYP3A5, CYP2C9 and CYP2C19) in the Jordanian population. Mol Biol Rep. 2012;39:9423-9433.

(37.) McDaniel DO, Thurber T, Lewis-Traylor A, Berry C, Barber WH, Zhou X, Bigler S, Vance R. Differential association of cytochrome p450 3a4 genotypes with onsets of breast tumors in african american versus caucasian patients. J Investig Med. 2011;59:1096-1103.

(38.) Bangsi D, Zhou J, Sun Y, Patel NP, Darga LL, Heilbrun LK, Powell IJ, Severson RK, Everson RB. Impact of a genetic variant in CYP3A4 on risk and clinical presentation of prostate cancer among white and African-American men. Urol Oncol. 2006;24:21-27.

(39.) Wandel C, Witte JS, Hall JM, Stein CM, Wood AJ, Wilkinson GR. CYP3A activity in African American and European American men: Population differences and functional effect of the CYP3A4*1B 5'-promoter region polymorphism. Clin Pharmacol Ther. 2000;68:82-91.

[iD] Zuhal UCKUN (1), [iD] Bora BASKAK (2), [iD] Hatice OZDEMIR (3), [iD] Erguvan Tugba OZEL-KIZIL (2), [iD] Halise DEVRIMCI-OZGUVEN (2), [iD] Halit Sinan SUZEN (4*)

(1) Mersin University, Faculty of Pharmacy, Department of Pharmaceutical Toxicology, Mersin, Turkey

(2) Ankara University, Faculty of Medicine, Department of Psychiatry, Ankara, Turkey

(3) Kirikkale University, Faculty of Medicine, Department of Psychiatry, Kirikkale, Turkey

(4) Ankara University, Faculty of Pharmacy, Department of Toxicology, Ankara, Turkey

(*) Correspondence: E-mail: suzen@.ankara.edu.tr, Phone: +90 533 345 37 99 ORCID-ID: orcid.org/0000-00003-1779-5850

Received: 12.05.201 7, Accepted: 1 9.07.2017

DOI: 10.4274/tjps.46320
Table 1. Common drugs metabolized by CYP3A46

Group of drugs                     Drug name

Antidepressants (SSRIs;      Citalopram, escitalopram,
SNRIs; tricyclics; others)   paroxetine, fluoxetine;
                             venalafaxine, trazodone;
                             amitriptyline, imipramine,
                             clomipramine; buspirone
                             nefazodone, mirtazapine
Antipsychotics (first        Haloperidol, perphenazine;
generations; second          aripiprazole, quetiapine,
generations)                 risperidone, ziprasidone
Benzodiazepines              Alprazolam, diazepam,
                             medazolam, temazepam,
                             lorazepam, clonazepam
Opiates                      Codeine, methadone,
                             fentanyl, buprenorphine
Hypnotics                    Zopiclone, zaleplon,
                             zolpidem
Antibiotics                  Erythromycin, clarithromycin, telithromycin
Phosphodiesters              Sildenafil, tadalafil
inhibitors

Table 2. Baseline characteristics of the patients with major depressive
disorder

Demographic and                Mean [+ or -] SD     Range (min-max)
genotypic
characteristics

Body weight (kg)              70.12[+ or -]14.39        45.5-105
BMI (kg/[m.sup.2])            25.94[+ or -]5.14         16.1-41.14

                              n                         %
Sex
Female                        68                        81
Male                          16                        19
Age range
[less than or equal to]40     53                        63
>40                           31                        37
CYP3A4 genotypes
Genotypic frequencies
AA (or *1A*1A)                82                        97.6
AG (or *1A*1B)                 1                         1.2
GG (or *1B*1B)                 1                         1.2
Allelic frequencies
A (or *7A)                   165                        98.6
G (or *1B)                     3                         1.8

BMI: Body mass index

Table 3. Allele frequencies of CYP3A4*1B in different ethnic populations

                                                      CYP3A4 allele
                                                      frequencies
Population                  Healthy and control       n         (*) 1A
                            populations

White
Turkish                     Healthy                 186         0.986
Turkish                     Major depressive         84         0.982
                            disorder
Turkish                     Familial                 46         0.967
                            Mediterranean
                            fever
                            patients
Turkish                     Children with            34         0.956
                            lower urinary
                            tract symptoms
Turkish                     Healthy                  42         0.939
                            children
Caucasian                   Hospital                428         0.972
(Germany)                   controls
Australian                  Control for             276         0.969
                            ovarian cancer
Australia                   Control for             500         0.967
                            breast cancer
European                    Healthy                  93         0.962
Caucasian                   Healthy                 117         0.961
American
(Southern
California)
Finnish                     Healthy                 118         0.958
Spanish                     Healthy                 163         0.957
Portuguese                  Control                 337         0.951
Dutch                       Healthy                 199         0.947
Caucasian
Scottish                    Healthy                 101         0.946
Caucasian                   Controls                340         0.921
American (*)
(Philadelphia)
Saudi (*)                   Healthy                 101         0.910
Caucasian                   Healthy                  94         0.904
American (*)
(Philadelphia)
European-Brazilians (*)     Healthy                  91         0.901
Hispanic (*)                Controls                121         0.893
Asians
Taiwanese                   -                       130         1.000
Japanese                    Healthy                 128         1.000
Japanese                    Healthy                  77         1.000
Japanese                    Hospital                416         1.000
                            patients
Chinese                     Healthy                  78         1.000
Chinese                     Healthy                 118         1.000
Vietnamese                  Healthy                  78         0.979
Jordanian                   Healthy                 173         0.965
Black (**)
African-Brazilians          Healthy                  86         0.616
African                     Controls                 67         0.560
African                     -                        70         0.470
American
African                     Healthy                 116         0.457
American
African                     Healthy                 186         0.454
American
African                     Controls                103         0.427
American
African                     Controls                130         0.408
American
African                     Healthy                 150         0.333
Ghanaian                    Healthy                 100         0.310
African                     Healthy                  15         0.200
American
Ghanaian                    Controls                118         0.195
African                     Healthy                  88         0.176

                                     CYP3A4 allele
                                      frequencies
Population                    (*) 1B                References

White
Turkish                       0.014                  Sayitoglu
                                                     et al. (16)
Turkish                       0.018                  The present
                                                     study
Turkish                       0.033                  Dogruer
                                                     et al. (17)
Turkish                       0.044                  Gurocak
                                                     et al. (18)
Turkish                       0.061                  Gurocak
                                                     et al. (18)
Caucasian                     0.028                  Dally
(Germany)                                            et al. (20)
Australian                    0.031                  Spurdle
                                                     et al. (20)
Australia                     0.033                  Spurdle
                                                     et al. (21)
European                      0.038                  Garsa
                                                     et al. (22)
Caucasian                     0.039                  Paris
American                                             et al. (23)
(Southern
California)
Finnish                       0.042                  Sata
                                                     et al. (24)
Spanish                       0.043                  Gervasini
                                                     et al. (25)
Portuguese                    0.049                  Nogal
                                                     et al. (3)
Dutch                         0.053                  van Schaik
Caucasian                                            et al. (26)
Scottish                      0.054                  Tayeb
                                                     et al. (27)
Caucasian                     0.079                  Zeigler-Johnson
American (*)                                         et al. (28)
(Philadelphia)
Saudi (*)                     0.090                  Tayeb
                                                     et al. (27)
Caucasian                     0.096                  Rebbeck
American (*)                                         et al. (29)
(Philadelphia)
European-Brazilians (*)       0.099                  Kohlrausch
                                                     et al. (30)
Hispanic (*)                  0.107                  Paris
                                                     et al. (23)
Asians
Taiwanese                     0.000                  Walker
                                                     et al. (31)
Japanese                      0.000                  Ando
                                                     et al. (32)
Japanese                      0.000                  Ball
                                                     et al. (33)
Japanese                      0.000                  Fukushima-Uesaka
                                                     et al. (34)
Chinese                       0.000                  Ball
                                                     et al. (33)
Chinese                       0.000                  Sata et al. (24)
Vietnamese                    0.021                  Veiga et al. (35)
Jordanian                     0.035                  Yousef et al. (36)
Black (**)
African-Brazilians            0.384                  Kohlrausch
                                                     et al. (30)
African                       0.440                  McDaniel
                                                     et al. (37)
African                       0.530                  Walker
American                                             et al. (31)
African                       0.543                  Paris et al. (23)
American
African                       0.546                  Ball et al. (33)
American
African                       0.573                  Bangsi et al. (38)
American
African                       0.592                  Zeigler-Johnson
American                                             et al. (28)
African                       0.667                  Sata et al. (24)
Ghanaian                      0.690                  Tayeb et al. (27)
African                       0.800                  Wandel et al. (39)
American
Ghanaian                      0.805                  Zeigler-Johnson
                                                     et al. (28)
African                       0.824                  Garsa et al. (22)

Differences in allele frequencies were assessed by [chi square] test. n
total number of subjects. Significant at (*) p<0.05 and (**) p<0.001
when compared with the present study
COPYRIGHT 2018 Galenos Yayinevi Tic. Ltd.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:ORIGINAL ARTICLE
Author:Uckun, Zuhal; Baskak, Bora; OzdemIr, Hatice; Ozel-Kizil, Erguvan Tugba; DevrImcI-Ozguven, Halise; Su
Publication:Turkish Journal of Pharmaceutical Sciences
Date:Aug 1, 2018
Words:4084
Previous Article:Traditional Techniques Applied in Olive Oil Production Results in Lower Quality Products in Northern Cyprus/Kuzey Kibris'ta Zeytinyagi Uretiminde...
Next Article:Investigation of the Antimicrobial Susceptibility Profile, Virulence Genes, and Epidemiologic Relationship of Clinical Salmonella Isolates/Klinik...
Topics:

Terms of use | Privacy policy | Copyright © 2020 Farlex, Inc. | Feedback | For webmasters