CYP2C9 and CYP2C19 genetic polymorphisms: frequencies in the south Indian population

The aim of the study was to establish the frequencies of CYP2C9*1, *2, *3 and CYP2C19*1, *2 and *3 in the south Indian population and to compare them with the inter‐racial distribution of the CYP2C9 and CYP2C19 genetic polymorphisms. Genotyping analyses of CYP2C9 and CYP2C19 were conducted in unrela...

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Veröffentlicht in:Fundamental & clinical pharmacology 2005-02, Vol.19 (1), p.101-105
Hauptverfasser: Jose, Rosemary, Chandrasekaran, Adithan, Sam, Soya Sisy, Gerard, Nathalie, Chanolean, Shashindran, Abraham, Benny K., Satyanarayanamoorthy, K., Peter, Anitha, Rajagopal, Krishnamoorthy
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container_title Fundamental & clinical pharmacology
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creator Jose, Rosemary
Chandrasekaran, Adithan
Sam, Soya Sisy
Gerard, Nathalie
Chanolean, Shashindran
Abraham, Benny K.
Satyanarayanamoorthy, K.
Peter, Anitha
Rajagopal, Krishnamoorthy
description The aim of the study was to establish the frequencies of CYP2C9*1, *2, *3 and CYP2C19*1, *2 and *3 in the south Indian population and to compare them with the inter‐racial distribution of the CYP2C9 and CYP2C19 genetic polymorphisms. Genotyping analyses of CYP2C9 and CYP2C19 were conducted in unrelated, healthy volunteers from the three south Indian states of Andhra Pradesh, Karnataka and Kerala, by the polymerase chain reaction–restriction fragment‐length polymorphism (PCR–RFLP). The allele frequencies of the populations of these three states were then pooled with our previous genotyping data of Tamilians (also in south India), to arrive at the distribution of CYP2C9 and CYP2C19 alleles in the south Indian population. Frequencies of CYP2C9 and CYP2C19 alleles and genotypes among various populations were compared using the two‐tailed Fisher's exact test. The frequencies of CYP2C9*1, *2 and *3 in the south Indian population were 0.88 (95% CI 0.85–0.91), 0.04 (95% CI 0.02–0.06) and 0.08 (95% CI 0.06–0.11), respectively. The frequencies of CYP2C9 genotypes *1/*1, *1/*2, *1/*3, *2/*2, *2/*3 and *3/*3 were 0.78 (95% CI 0.74–0.82), 0.05 (95% CI 0.03–0.07), 0.15 (95% CI 0.12–0.18), 0.01 (95% CI 0.0–0.02), 0.01 (95% CI 0.0–0.02) and 0.0, respectively. CYP2C19*1, *2 and *3 frequencies were 0.64 (95% CI 0.60–0.68), 0.35 (95% CI 0.31–0.39) and 0.01 (95% CI 0.0–0.03), respectively. As a result of a significant heterogeneity, the data on CYP2C19 genotype frequencies were not pooled. The frequency of CYP2C9*2 mutant alleles in south Indians was higher than in Chinese and Caucasians, while CYP2C9*3 was similar to Caucasians. CYP2C19*2 was higher than in other major populations reported so far. The relatively high CYP2C19 poor‐metabolizer genotype frequency of 12.6% indicates that over 28 million south Indians are poor metabolizers of CYP2C19 substrates.
doi_str_mv 10.1111/j.1472-8206.2004.00307.x
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Genotyping analyses of CYP2C9 and CYP2C19 were conducted in unrelated, healthy volunteers from the three south Indian states of Andhra Pradesh, Karnataka and Kerala, by the polymerase chain reaction–restriction fragment‐length polymorphism (PCR–RFLP). The allele frequencies of the populations of these three states were then pooled with our previous genotyping data of Tamilians (also in south India), to arrive at the distribution of CYP2C9 and CYP2C19 alleles in the south Indian population. Frequencies of CYP2C9 and CYP2C19 alleles and genotypes among various populations were compared using the two‐tailed Fisher's exact test. The frequencies of CYP2C9*1, *2 and *3 in the south Indian population were 0.88 (95% CI 0.85–0.91), 0.04 (95% CI 0.02–0.06) and 0.08 (95% CI 0.06–0.11), respectively. The frequencies of CYP2C9 genotypes *1/*1, *1/*2, *1/*3, *2/*2, *2/*3 and *3/*3 were 0.78 (95% CI 0.74–0.82), 0.05 (95% CI 0.03–0.07), 0.15 (95% CI 0.12–0.18), 0.01 (95% CI 0.0–0.02), 0.01 (95% CI 0.0–0.02) and 0.0, respectively. CYP2C19*1, *2 and *3 frequencies were 0.64 (95% CI 0.60–0.68), 0.35 (95% CI 0.31–0.39) and 0.01 (95% CI 0.0–0.03), respectively. As a result of a significant heterogeneity, the data on CYP2C19 genotype frequencies were not pooled. The frequency of CYP2C9*2 mutant alleles in south Indians was higher than in Chinese and Caucasians, while CYP2C9*3 was similar to Caucasians. CYP2C19*2 was higher than in other major populations reported so far. 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Genotyping analyses of CYP2C9 and CYP2C19 were conducted in unrelated, healthy volunteers from the three south Indian states of Andhra Pradesh, Karnataka and Kerala, by the polymerase chain reaction–restriction fragment‐length polymorphism (PCR–RFLP). The allele frequencies of the populations of these three states were then pooled with our previous genotyping data of Tamilians (also in south India), to arrive at the distribution of CYP2C9 and CYP2C19 alleles in the south Indian population. Frequencies of CYP2C9 and CYP2C19 alleles and genotypes among various populations were compared using the two‐tailed Fisher's exact test. The frequencies of CYP2C9*1, *2 and *3 in the south Indian population were 0.88 (95% CI 0.85–0.91), 0.04 (95% CI 0.02–0.06) and 0.08 (95% CI 0.06–0.11), respectively. The frequencies of CYP2C9 genotypes *1/*1, *1/*2, *1/*3, *2/*2, *2/*3 and *3/*3 were 0.78 (95% CI 0.74–0.82), 0.05 (95% CI 0.03–0.07), 0.15 (95% CI 0.12–0.18), 0.01 (95% CI 0.0–0.02), 0.01 (95% CI 0.0–0.02) and 0.0, respectively. CYP2C19*1, *2 and *3 frequencies were 0.64 (95% CI 0.60–0.68), 0.35 (95% CI 0.31–0.39) and 0.01 (95% CI 0.0–0.03), respectively. As a result of a significant heterogeneity, the data on CYP2C19 genotype frequencies were not pooled. The frequency of CYP2C9*2 mutant alleles in south Indians was higher than in Chinese and Caucasians, while CYP2C9*3 was similar to Caucasians. CYP2C19*2 was higher than in other major populations reported so far. The relatively high CYP2C19 poor‐metabolizer genotype frequency of 12.6% indicates that over 28 million south Indians are poor metabolizers of CYP2C19 substrates.</description><subject>Adult</subject><subject>allele</subject><subject>Aryl Hydrocarbon Hydroxylases - genetics</subject><subject>Biological and medical sciences</subject><subject>CYP2C19</subject><subject>CYP2C9</subject><subject>Cytochrome P-450 CYP2C19</subject><subject>Cytochrome P-450 CYP2C9</subject><subject>Female</subject><subject>Gene Frequency</subject><subject>Genetics, Population</subject><subject>Humans</subject><subject>India</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Mixed Function Oxygenases - genetics</subject><subject>PCR-RFLP</subject><subject>Pharmacology. Drug treatments</subject><subject>Polymerase Chain Reaction</subject><subject>polymorphism</subject><subject>Polymorphism, Genetic</subject><subject>Polymorphism, Restriction Fragment Length</subject><subject>south India</subject><issn>0767-3981</issn><issn>1472-8206</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkF1P2zAUhi00BAX2FybfbHcJx4lrO9NupogCAkElOk27shzHWd3lCzsR7b_HoRXczjc-sp_3-PhBCBOISViXm5hQnkQiARYnADQGSIHH2yM0e7_4hGbAGY_STJBTdOb9BoBwIOwEnZI5Y5AxNkOr_M8yyTOs2hK_lSTDf01rBqtx39W7pnP92vrGf8eVM8-jabU1HtsWD2uDfTcOa3zblla1Ae_HWg22ay_QcaVqbz4f9nP0a3G1ym-i-8fr2_znfaTnADzSGROQmoIrVpgwG9WKqapk4UQnoaJCpaCNSgRNqC6h4LSqKNGCcFYIo9Jz9G3ft3ddGM0PsrFem7pWrelGLxlPmcjSJIBiD2rXee9MJXtnG-V2koCcjMqNnMTJSZycjMo3o3Ibol8Ob4xFY8qP4EFhAL4eAOW1qiungiL_wTFKOSXzwP3Ycy-2Nrv_HkAu8mUoQjzax60fzPY9rty_6Zt8Ln8_XMvlgrFVLu7kU_oKnq6fvw</recordid><startdate>200502</startdate><enddate>200502</enddate><creator>Jose, Rosemary</creator><creator>Chandrasekaran, Adithan</creator><creator>Sam, Soya Sisy</creator><creator>Gerard, Nathalie</creator><creator>Chanolean, Shashindran</creator><creator>Abraham, Benny K.</creator><creator>Satyanarayanamoorthy, K.</creator><creator>Peter, Anitha</creator><creator>Rajagopal, Krishnamoorthy</creator><general>Blackwell Science Ltd</general><general>Blackwell</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200502</creationdate><title>CYP2C9 and CYP2C19 genetic polymorphisms: frequencies in the south Indian population</title><author>Jose, Rosemary ; Chandrasekaran, Adithan ; Sam, Soya Sisy ; Gerard, Nathalie ; Chanolean, Shashindran ; Abraham, Benny K. ; Satyanarayanamoorthy, K. ; Peter, Anitha ; Rajagopal, Krishnamoorthy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5007-c96803eb7a6be0174ca6afd6eb7c26af48a30cea28424cd0b74ff41c8176b8ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>allele</topic><topic>Aryl Hydrocarbon Hydroxylases - genetics</topic><topic>Biological and medical sciences</topic><topic>CYP2C19</topic><topic>CYP2C9</topic><topic>Cytochrome P-450 CYP2C19</topic><topic>Cytochrome P-450 CYP2C9</topic><topic>Female</topic><topic>Gene Frequency</topic><topic>Genetics, Population</topic><topic>Humans</topic><topic>India</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Mixed Function Oxygenases - genetics</topic><topic>PCR-RFLP</topic><topic>Pharmacology. Drug treatments</topic><topic>Polymerase Chain Reaction</topic><topic>polymorphism</topic><topic>Polymorphism, Genetic</topic><topic>Polymorphism, Restriction Fragment Length</topic><topic>south India</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jose, Rosemary</creatorcontrib><creatorcontrib>Chandrasekaran, Adithan</creatorcontrib><creatorcontrib>Sam, Soya Sisy</creatorcontrib><creatorcontrib>Gerard, Nathalie</creatorcontrib><creatorcontrib>Chanolean, Shashindran</creatorcontrib><creatorcontrib>Abraham, Benny K.</creatorcontrib><creatorcontrib>Satyanarayanamoorthy, K.</creatorcontrib><creatorcontrib>Peter, Anitha</creatorcontrib><creatorcontrib>Rajagopal, Krishnamoorthy</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Fundamental &amp; clinical pharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jose, Rosemary</au><au>Chandrasekaran, Adithan</au><au>Sam, Soya Sisy</au><au>Gerard, Nathalie</au><au>Chanolean, Shashindran</au><au>Abraham, Benny K.</au><au>Satyanarayanamoorthy, K.</au><au>Peter, Anitha</au><au>Rajagopal, Krishnamoorthy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CYP2C9 and CYP2C19 genetic polymorphisms: frequencies in the south Indian population</atitle><jtitle>Fundamental &amp; clinical pharmacology</jtitle><addtitle>Fundam Clin Pharmacol</addtitle><date>2005-02</date><risdate>2005</risdate><volume>19</volume><issue>1</issue><spage>101</spage><epage>105</epage><pages>101-105</pages><issn>0767-3981</issn><eissn>1472-8206</eissn><coden>FCPHEZ</coden><abstract>The aim of the study was to establish the frequencies of CYP2C9*1, *2, *3 and CYP2C19*1, *2 and *3 in the south Indian population and to compare them with the inter‐racial distribution of the CYP2C9 and CYP2C19 genetic polymorphisms. Genotyping analyses of CYP2C9 and CYP2C19 were conducted in unrelated, healthy volunteers from the three south Indian states of Andhra Pradesh, Karnataka and Kerala, by the polymerase chain reaction–restriction fragment‐length polymorphism (PCR–RFLP). The allele frequencies of the populations of these three states were then pooled with our previous genotyping data of Tamilians (also in south India), to arrive at the distribution of CYP2C9 and CYP2C19 alleles in the south Indian population. Frequencies of CYP2C9 and CYP2C19 alleles and genotypes among various populations were compared using the two‐tailed Fisher's exact test. The frequencies of CYP2C9*1, *2 and *3 in the south Indian population were 0.88 (95% CI 0.85–0.91), 0.04 (95% CI 0.02–0.06) and 0.08 (95% CI 0.06–0.11), respectively. The frequencies of CYP2C9 genotypes *1/*1, *1/*2, *1/*3, *2/*2, *2/*3 and *3/*3 were 0.78 (95% CI 0.74–0.82), 0.05 (95% CI 0.03–0.07), 0.15 (95% CI 0.12–0.18), 0.01 (95% CI 0.0–0.02), 0.01 (95% CI 0.0–0.02) and 0.0, respectively. CYP2C19*1, *2 and *3 frequencies were 0.64 (95% CI 0.60–0.68), 0.35 (95% CI 0.31–0.39) and 0.01 (95% CI 0.0–0.03), respectively. As a result of a significant heterogeneity, the data on CYP2C19 genotype frequencies were not pooled. The frequency of CYP2C9*2 mutant alleles in south Indians was higher than in Chinese and Caucasians, while CYP2C9*3 was similar to Caucasians. CYP2C19*2 was higher than in other major populations reported so far. The relatively high CYP2C19 poor‐metabolizer genotype frequency of 12.6% indicates that over 28 million south Indians are poor metabolizers of CYP2C19 substrates.</abstract><cop>Oxford, UK</cop><pub>Blackwell Science Ltd</pub><pmid>15660966</pmid><doi>10.1111/j.1472-8206.2004.00307.x</doi><tpages>5</tpages></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adult
allele
Aryl Hydrocarbon Hydroxylases - genetics
Biological and medical sciences
CYP2C19
CYP2C9
Cytochrome P-450 CYP2C19
Cytochrome P-450 CYP2C9
Female
Gene Frequency
Genetics, Population
Humans
India
Male
Medical sciences
Mixed Function Oxygenases - genetics
PCR-RFLP
Pharmacology. Drug treatments
Polymerase Chain Reaction
polymorphism
Polymorphism, Genetic
Polymorphism, Restriction Fragment Length
south India
title CYP2C9 and CYP2C19 genetic polymorphisms: frequencies in the south Indian population
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