Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Common polymorphisms in the genes encoding CYP2D6, CYP2C19, CYP2C9 and VKORC1 enzymes have an important role in predicting the occurrence of adverse effects and the efficacy of substrate medications. Drug-induced changes to the enzyme's phenotype, a process called phenoconversion, comprise another important factor contributing to interindividual variability in drug response. To date, there is lack of data on the frequency of these common polymorphisms and phenoconversion in the pan-ethnic Australian population. The aim of this study was to (1) describe allele, genotype and phenotype frequencies for CYP2D6, CYP2C19, CYP2C9 and VKORC1 enzymes in the pan-ethnic Australian population and (2) evaluate the frequency of actionable pharmacogenomic (PGx) variants and phenoconversion. Frequencies were calculated using the records of 5408 Australian patients (obtained from myDNA's propriety database), who were consecutively tested with the DNAdose PGx test which included the CYP2D6, CYP2C19, CYP2C9 and VKORC1 genes. In 2509 patients with listed medications at the time of testing, phenoconversion frequencies were calculated for CYP2D6, CYP2C19 and CYP2C9 enzymes. Allele, genotype and phenotype frequencies in our Australian patients correlated with a Caucasian population. Approximately 96% of patients had at least one actionable PGx variant. A five-fold increase in the frequency of poor metabolisers (PMs) for CYP2D6 and CYP2C19 was predicted by phenoconversion. Our study results indicate a high frequency of actionable PGx variants in our Australian population. With the addition of drug-induced phenoconversion, our results provide further support for the utilisation of PGx testing in clinical practice as another tool assisting prescribers in the application of personalised medicine.
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Source |
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http://dx.doi.org/10.1007/s00702-018-1922-0 | DOI Listing |
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