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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">BR</journal-id>
<journal-title-group>
<journal-title>Biomedical Reports</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9434</issn>
<issn pub-type="epub">2049-9442</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">BR-17-6-01582</article-id>
<article-id pub-id-type="doi">10.3892/br.2022.1582</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Introduction of new alternative pipeline using multiplexed fast COLD‑PCR together with sequencing approach highlighting pharmacoeconomics by detection of <em>CYP</em> variants</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Nandar</surname><given-names>Yu Myat</given-names></name>
<xref rid="af1-BR-17-6-01582" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Duangmano</surname><given-names>Suwit</given-names></name>
<xref rid="af2-BR-17-6-01582" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lucksiri</surname><given-names>Aroonrut</given-names></name>
<xref rid="af3-BR-17-6-01582" ref-type="aff">3</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sirikul</surname><given-names>Chonticha</given-names></name>
<xref rid="af2-BR-17-6-01582" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Palacajornsuk</surname><given-names>Poonsub</given-names></name>
<xref rid="af2-BR-17-6-01582" ref-type="aff">2</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Anukul</surname><given-names>Nampeung</given-names></name>
<xref rid="af2-BR-17-6-01582" ref-type="aff">2</xref>
<xref rid="c1-BR-17-6-01582" ref-type="corresp"/>
</contrib>
</contrib-group>
<aff id="af1-BR-17-6-01582"><label>1</label>Master&#x0027;s Degree Program in Medical Technology (International Program), Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, CMU Presidential Scholarship, Chiang Mai 50200, Thailand</aff>
<aff id="af2-BR-17-6-01582"><label>2</label>Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand</aff>
<aff id="af3-BR-17-6-01582"><label>3</label>Department of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai 50200, Thailand</aff>
<author-notes>
<corresp id="c1-BR-17-6-01582"><italic>Correspondence to:</italic> Dr Nampeung Anukul, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intawaroroj Road, Sripoom, Chiang Mai 50200, Thailand <email>nampeung.a@cmu.ac.th </email></corresp>
<fn><p><italic>Abbreviations:</italic> CYP, cytochrome P450; COLD-PCR, co-amplification at lower denaturation temperature polymerase chain reaction; IM, intermediate metabolizer; PM, poor metabolizer; UM, ultra-rapid metabolizer; Ta, annealing temperature; Tm, melting temperature; Tc, critical denaturation temperature; BLAST, Basic Local Alignment Search Tool; SNP, single nucleotide polymorphism; WT, wild-type; MT, mutant; bp, base pair</p></fn>
</author-notes>
<pub-date pub-type="collection">
<month>12</month>
<year>2022</year></pub-date>
<pub-date pub-type="epub">
<day>31</day>
<month>10</month>
<year>2022</year></pub-date>
<volume>17</volume>
<issue>6</issue>
<elocation-id>99</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>09</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>10</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: © Nandar et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>In precision medicine, multiple factors are involved in clinical decision-making because of ethnic and racial genetic diversity, family history and other health factors. Although advanced techniques have evolved, there is still an economic obstacle to pharmacogenetic (PGx) implementation in developing countries. The aim of the present study was to provide an alternative pipeline that roughly estimate patient carrier type and prescreen out wild-type samples before sequencing or genotyping to determine genetic status. Fast co-amplification at lower denaturation temperature (COLD)-PCR was used to differentiate genetic variant non-carriers from carriers. The majority of drugs are hepatically cleared by cytochrome P450 (CYP) enzymes and genes encoding CYP enzymes are highly variable. Of all the <italic>CYPs</italic>, CYP2 family of <italic>CYP2C9</italic>, <italic>CYP2C19</italic>, and <italic>CYP2D6</italic> isoforms have clinically significant impact on drugs of PGx testing. Therefore, five variants associated with these <italic>CYPs</italic> were selected for preliminary testing with this novel pipeline. For fast COLD-PCR, the optimal annealing temperature and critical denaturation temperature were determined and evaluated via Sanger sequencing of 27 randomly collected samples. According to precise Tc, to perform in a single-reaction is difficult. However, in this study, this issue was resolved by combination of precise Tc using 10+10+20 cycles. The results showed 100% sensitivity and specificity, with perfect agreement (κ=1.0) compared with Sanger sequencing. The present study provides a prescreening platform by introducing multiplex fast COLD-PCR as a pharmacoeconomic implementation. Our study just present in five variants which are not enough to describe patient metabolic status. Therefore, other actional genetic variants are still needed to cover the actual patient's genotypes. Nevertheless, the proposed method can well-present its efficiency and reliability for serving as a PGx budget platform in the future.</p>
</abstract>
<kwd-group>
<kwd>pharmacogenetics</kwd>
<kwd>cytochrome P450</kwd>
<kwd>fast co-amplification at lower denaturation temperature</kwd>
<kwd>genetic variant</kwd>
<kwd>sequencing</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> The present study was supported by the Faculty of Associated Medical Sciences, Chiang Mai University, Thailand (grant no. R000025740).</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Drug-metabolizing cytochrome P450 (CYP) phase I bioactivation system affects drug responses. Among &gt;50 CYPs, genetic variations of CYP2C9, CYP2C19 and CYP2D6 enzymes potentially affect drug efficacy and toxicity. <italic>CYP2C9</italic>, <italic>CYP2C19</italic> and <italic>CYP2D6</italic> polymorphisms comprise the most frequent enzyme variations because nearly 80% of drugs used in today are metabolized by these enzymes. Accordingly, these <italic>CYP</italic> genetic mutations lead to different phenotypes of metabolism status, such as ultra-rapid (UMs), normal, intermediate (IMs) and poor metabolizers (PMs). In UMs, individuals metabolize drugs very rapidly, resulting in lack of response and subtherapeutic plasma concentrations at normal doses whereas in IMs or PMs, these lead to altered risk for adverse drug reactions (<xref rid="b1-BR-17-6-01582 b2-BR-17-6-01582 b3-BR-17-6-01582" ref-type="bibr">1-3</xref>). For example, altered CYP2D6 activity affects antidepressant treatment (<xref rid="b4-BR-17-6-01582" ref-type="bibr">4</xref>) and <italic>CYP2C19*17</italic> leading to UM phenotype causes risk of therapeutic failure in drug treatment (<xref rid="b5-BR-17-6-01582" ref-type="bibr">5</xref>). Therefore, annotations of these <italic>CYP</italic> genes and pharmacogenomics (PGx)-based drug-dosing guidelines are being constantly updated to make dose adjustment to avoid toxicity and increase drug efficacy (<xref rid="b6-BR-17-6-01582" ref-type="bibr">6</xref>,<xref rid="b7-BR-17-6-01582" ref-type="bibr">7</xref>). This may maximize drug efficacy and minimize toxicity for individuals from drugs, thereby improving patient compliance and safety. Thus, PGx testing has been implemented in these three <italic>CYP</italic> polymorphisms (<italic>CYP2C9</italic>, <italic>CYP2C19</italic> and <italic>CYP2D6</italic>) to achieve optimal quality use of medicines (<xref rid="b8-BR-17-6-01582" ref-type="bibr">8</xref>). Various approaches have been conducted, such as allele-specific PCR, invader assay, pyrosequencing and oligonucleotide microarray (<xref rid="b9-BR-17-6-01582" ref-type="bibr">9</xref>). A variety of testing kits for <italic>CYP450</italic> genotyping have also been approved by the U.S. FDA, including Amplicon Chip CYP450 GeneChip<sup>®</sup>, TaqMan real-time PCR and Luminex <italic>CYP2D6</italic> and <italic>CY2C19</italic> xTAG detection kits (<xref rid="b10-BR-17-6-01582" ref-type="bibr">10</xref>).</p>
<p>Nevertheless, use of PGx testing as a routine practice is still challenging due to an underestimation of clinical importance, lack of health information and high cost in developing countries (<xref rid="b11-BR-17-6-01582" ref-type="bibr">11</xref>). Even though physicians are educated on healthcare, optimistic attitudes to PGx are still demanding because of lack of participation in controlled trials and clinical validity. One example of variations between pharmacogenetic clinical guidelines and recommendations was found in clopidogrel in which clinical guidelines and FDA demonstrated different recommendations upon the interpretation of PGx testing (<xref rid="b12-BR-17-6-01582" ref-type="bibr">12</xref>). The key role of PGx is to divide drug responders from non-responders for physicians.</p>
<p>The aim of this study was to qualitatively evaluate pharmacoeconomic characteristics. The objective of this study was to introduce an alternative pipeline to detect mutation before traditional genotyping for PGx. Co-amplification at lower denaturation temperature (COLD)-PCR technology is considered to be a better qualitative detection method in minority allele detection than conventional PCR because of its feasibility, simplicity, time-efficiency and cost-effectiveness with preferential denaturation on mismatch-forming variants (<xref rid="b13-BR-17-6-01582" ref-type="bibr">13</xref>). There are several forms of COLD-PCR, among them, fast COLD-PCR is cheapest and easiest. Fast COLD-PCR is a modified form of conventional PCR involving an additional parameter, the critical denaturation temperature (Tc), primarily suitable for Tm-reducing mutations (for example, G:C&gt;A:T or G:C&gt;T:A) (<xref rid="b14-BR-17-6-01582" ref-type="bibr">14</xref>). Following this selective denaturation, only mutant (MT) A/T-containing alleles are obtained and wild-type (WT) G/C alleles are left double-stranded (ds). This can result in increased sensitivity in the detection of low-abundance variants over conventional PCR (<xref rid="b15-BR-17-6-01582" ref-type="bibr">15</xref>). It not only enables robust enrichment but is also easily accessible with high reproducibility. As a consequence of this, COLD-PCR has been widely applied to detect cancer mutations (<xref rid="b16-BR-17-6-01582 b17-BR-17-6-01582 b18-BR-17-6-01582 b19-BR-17-6-01582 b20-BR-17-6-01582 b21-BR-17-6-01582 b22-BR-17-6-01582 b23-BR-17-6-01582" ref-type="bibr">16-23</xref>).</p>
<p>To date, there are only a few reports of pharmacogenomics (PGx) studies (<xref rid="b2-BR-17-6-01582" ref-type="bibr">2</xref>,<xref rid="b7-BR-17-6-01582" ref-type="bibr">7</xref>,<xref rid="b12-BR-17-6-01582" ref-type="bibr">12</xref>) in which fast COLD-PCR has not yet been applied. Therefore, the present study introduce an affordable methodology to determine whether the patient carries a variant without requiring heterozygous or homozygous variant typing. Accordingly, this can decrease unnecessary expensive direct genotyping in uncharacterized patients. Moreover, the present study aimed to demonstrate how to multiplex fast COLD-PCR based on precise Tc values, which has previously been difficult because the critical denaturation temperature of COLD-PCR must be controlled precisely (within ±0.2˚C). Therefore, it is critical to set up a thermocycler with precise temperature. The novel assay panel used selected gene-associated single nucleotide polymorphisms (SNPs) specific to Asian populations published in previous studies (<xref rid="b24-BR-17-6-01582 b25-BR-17-6-01582 b26-BR-17-6-01582 b27-BR-17-6-01582 b28-BR-17-6-01582" ref-type="bibr">24-28</xref>). The present method may promote use of more pharmacogenetic-associated SNPs. To assess the efficiency, the testing results were compared with those from Sanger sequencing, which is the reliable available gold-standard method (<xref rid="b29-BR-17-6-01582" ref-type="bibr">29</xref>) to determine heterozygous or homozygous patients.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Database for searching for sequences of CYP genes</title>
<p>The reference sequences of <italic>CYP2C9</italic> and <italic>CYP2C19</italic> on chromosome 10 (accession no. NC_000010.11) and <italic>CYP2D6</italic> on chromosome 22 (accession no NC_000022.11) from Homo sapiens genome assembly, GHCh38.p13, were downloaded from the National Center for Biotechnology Information (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://ncbi.nlm.nih.gov">ncbi.nlm.nih.gov</ext-link>, accession date 22 June 2022) to perform target gene analysis. Genetic polymorphisms of cytochrome related pharmacogenomic studies focusing on Asian populations were selected (<xref rid="b24-BR-17-6-01582 b25-BR-17-6-01582 b26-BR-17-6-01582 b27-BR-17-6-01582 b28-BR-17-6-01582" ref-type="bibr">24-28</xref>). Respective reference SNP (rs) numbers were obtained from the Human <italic>CYP</italic> Allele Nomenclature Database and shown in <xref rid="tI-BR-17-6-01582" ref-type="table">Table I</xref> (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://pharmvar.org/htdocs/archive/index_original.htm">pharmvar.org/htdocs/archive/index_original.htm</ext-link>, accession date 22 June 2022). SNPs on reference sequences of these genes were mapped on the reference chromosome sequences and identified using NCBI BLAST tool (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://blast.ncbi.nlm.nih.gov/Blast.cgi">blast.ncbi.nlm.nih.gov/Blast.cgi</ext-link>).</p>
</sec>
<sec>
<title>Selection of SNPs, new primers and synthetic oligonucleotide designs</title>
<p>The novel primers were designed to develop a gene panel focusing on <italic>CYP2C9</italic>, <italic>CYP2C19</italic>, and <italic>CYP2D6</italic> variants. Homology to function and evolution with other gene families were assessed using Basic Local Alignment Search Tool (BLAST) against the GHCh38.p13 assembly (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://ncbi.nlm.nih.gov/tools/primer-blast/">ncbi.nlm.nih.gov/tools/primer-blast/</ext-link>, 22 June 2022). DNA melting temperature (Tm) of WT and MT variants was predicted using the web-based tool uMelt version 3.6.2, developed by the Wittwer lab (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://dna-utah.org/">dna-utah.org/</ext-link>, 22 June 2022). Synthetic ds DNA fragments (gBlocks<sup>®</sup>, Integrated DNA Technologies) of 250-500 bp for each variant were used for quality control, as previously described (<xref rid="b30-BR-17-6-01582" ref-type="bibr">30</xref>). Position of synthetic ds DNA and primer sequences are shown in <xref rid="tI-BR-17-6-01582" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Ethical considerations</title>
<p>All participants were recruited from unrelated Thai volunteers with the following inclusion criteria: i) Age 18-60 years old, ii) no history of drug ADRs and SCARs and iii) have history of drug ADRs or SCARs (but at the time of recruiting participants, have no symptom of ADRs). A total of 27 volunteers including 13 males and 14 females was recruited between January to March 2022 at Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand. All participants provided written consent to participate in the study before collecting blood samples from vein. The study was approved by Research Ethics Committee, Faculty of Associated Medical Sciences, Chiang Mai University, Thailand (approval no. AMSEC-64EX-130; date of approval: 28 December 2021).</p>
</sec>
<sec>
<title>DNA extraction</title>
<p>A total of 6 ml of blood samples were collected from vein and stored in EDTA tube and DNA extraction was performed using the PureLink<sup>™</sup> Genomic DNA mini kit (Invitrogen; Thermo Fisher Scientific, Inc.), following the manufacturer's instructions. At least 200 µl of buffy coat from EDTA blood was used to a final elution volume of 100 µl extracted DNA. The quality of extracted DNA was determined using an Epoch Microplate Spectrophotometer (BioTek Instruments, Inc.) with a 260/280 absorbance ratio of 1.65-1.80. The DNA concentration was normalized to 50 ng/µl.</p>
</sec>
<sec>
<title>Optimization of annealing temperature (Ta) and critical denaturation temperature (Tc) of fast COLD-PCR</title>
<p>Optimization of Ta was performed by conventional PCR for primer annealing to a target sequence. A total of 50 ng genomic DNA template was used in a total reaction volume of 12.5 µl. PCR reaction was performed using 1X Quick Taq<sup>™</sup> HS Dye Mix (Toyobo Life Science) with 0.2 µM all primers (<xref rid="tI-BR-17-6-01582" ref-type="table">Table I</xref>) according to the manufacturer's instructions. The conditions for PCR cycling were 94˚C for 2 min followed by 30 cycles at 94˚C for 30 sec, 50-65˚C with gradient PCR for 30 sec, 68˚C for 1 min/kb and 68˚C for 7 min.</p>
<p>Selective denaturation stage (Tc) is vital for fast COLD-PCR to precisely denature the mutated sequence (<xref rid="b14-BR-17-6-01582" ref-type="bibr">14</xref>,<xref rid="b23-BR-17-6-01582" ref-type="bibr">23</xref>). First, 10 rounds of conventional PCR were performed to amplify and generate a sufficient template for COLD-PCR. Afterwards, the precise Tc was determined by gradual reduction of the denaturation temperature (Tm). The amplified PCR products were analyzed by 2% agarose gel electrophoresis in 10x Tris-Borate-EDTA (TBE) buffer for 40 min. As a result, only MT PCR products were observed in comparison with WT and MT synthetic DNA templates. The reaction mixture and total volume of fast COLD-PCR were the same as those of conventional PCR. A total of 10 cycles of conventional PCR and fast COLD-PCR conditions were optimized as follows: 30 cycles of precise Tc (gradually decreasing Tm until only MT DNA was enriched) for 30 sec, 65˚C for 30 sec, 68˚C for 12 sec and final extension of 68˚C for 7 min.</p>
</sec>
<sec>
<title>Tc combination of fast COLD-PCR assay evaluation</title>
<p>To multiplex <italic>CYP2C9</italic>, <italic>CYP2C19</italic> and <italic>CYP2D6</italic>, combined-Tc fast COLD-PCR was performed, starting from the lowest to highest Tc by sequentially adding 10+10+20 cycles. The optimization condition was the as the precise Tc determination. An initial denaturation of 94˚C for 2 min was followed by 10 cycles of conventional PCR, as aforementioned. Next, 10 cycles of Tc1 (75.0˚C) for 30 sec with annealing and extension steps were performed as aforementioned. Another 10 cycles at Tc2 (87.0˚C) for 30 sec, followed by 20 cycles of Tc3 (90.5˚C) for 30 sec with annealing and extension were performed, as shown in <xref rid="f1-BR-17-6-01582" ref-type="fig">Fig. 1</xref>. Afterwards, the resulting assay was tested and evaluated on 27 samples in comparison with Sanger sequencing.</p>
</sec>
<sec>
<title>Sanger sequencing</title>
<p>After screening 27 samples for all variants with fast COLD-PCR, the resulting positive MT samples were determined by traditional Sanger sequencing to determine homozygous or heterozygous status. To evaluate the efficiency of fast COLD-PCR screening, all 27 samples were subjected to Sanger sequencing. To perform Sanger sequencing, DNA samples were amplified using the aforementioned conventional PCR. The obtained PCR amplicons were sequenced by the Sanger reference method at Macrogen, Inc. (<xref rid="b31-BR-17-6-01582" ref-type="bibr">31</xref>). Sanger sequence assemblies were analyzed using SeqMan Ultra DNASTAR Bioinformatics Software version 17.2 (<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://dnastar.com/software/lasergene/seqman-ultra/">dnastar.com/software/lasergene/seqman-ultra/</ext-link>, 22 June 2022).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>As data of COLD-PCR and Sanger sequencing were examined each clinical sample for variants to determine whether they will be found to match. Data will be converted from category data into quantitative data (data 0-1 means negative-positive). The Cohen's Kappa (κ) agreement between two assays was calculated using SPSS software v. 22.0. Moreover, we have also calculated the allelic frequency of five variants found in this study.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Determination of Ta and Tc for initial fast COLD-PCR screening test</title>
<p>Total five variants were selected from <italic>CYP2C9</italic>, <italic>CYP2C19</italic>, and <italic>CYP2D6</italic> genes and these five variants were optimized at the Ta, 50-65˚C. Following this, 65˚C was selected as the optimal Ta as all five genetic variants were shown the same annealing reaction at 65˚C. No amplification in WT and a positive band in MT variants were obtained with three different Tc values for the five targets: Tc=75.0˚C for <italic>CYP2C9*2</italic> (150 bp), <italic>19*2</italic> (206 bp) and <italic>19*3</italic> (192 bp); Tc=87.0˚C for <italic>CYP2D6*41</italic> (124 bp) and Tc=90.5˚C for <italic>CYP2D6*10</italic> (160 bp). These Tc results were validated using synthetic WT and MT oligonucleotide templates at a concentration of 50 ng/µl with 10 cycles of conventional PCR at Ta=65˚C (<xref rid="f2-BR-17-6-01582" ref-type="fig">Fig. 2</xref>). Accordingly, optimal Ta at 65˚C and three Tcs (75.0˚C, 87.0˚C and 90.5˚C) for fast COLD-PCR screening test were obtained.</p>
</sec>
<sec>
<title>Establishment and evaluation of combined fast COLD-PCR</title>
<p>The proposed assay was modified to discriminate all variants within a single reaction through multiplex fast COLD-PCR by combining three Tc values (75.0, 87.0 and 90.5˚C) with 10+10+20 cycles. A total of 27 randomly collected samples were tested by multiplex performance with control samples (<xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3</xref>). For the detection of <italic>CYP2C9*2</italic>, only one sample (sample 20) showed a positive band (<xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3A</xref>). For <italic>CYP2C19*2</italic>, positive bands are observed for 15 samples (samples 1, 2, 4, 5, 9, 10, 12-14, 16, 21-23, 25 and 27; <xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3B</xref>). For <italic>CYP2C19*3</italic>, a positive band is observed for one sample (sample 11; <xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3C</xref>). A total of 21 samples (samples 1, 2, 4, 5, 7-13, 15, 17, 19-25 and 27) was <italic>CYP2D6*10</italic>-positive (<xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3D</xref>). A total of four samples (samples 3, 10, 17 and 24) was <italic>CYP2D6*41</italic>-positive (<xref rid="f3-BR-17-6-01582" ref-type="fig">Fig. 3E</xref>). In comparison of fast COLD-PCR with Sanger sequencing, the results show 100% consistency (κ=1.0) for all variants (<xref rid="tII-BR-17-6-01582" ref-type="table">Table II</xref>). The results of Sanger sequencing in five variants are shown in <xref rid="f4-BR-17-6-01582" ref-type="fig">Fig. 4</xref>. Fast COLD-PCR correctly identified heterozygous or homozygous SNPs variant in Sanger results as ‘Positive’ and WT sample of Sanger sequencing results as ‘Negative’. The percentage of five variants present in 27 samples as follows: 3.7% of <italic>CYP2C9*2</italic> and <italic>CYP2C19*3</italic>, 55.5% of <italic>CYP2C19*2</italic>, 77.7% of <italic>CYP2D6*10</italic>, and 14.8% of <italic>CYP2D6*41</italic>.</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Genetic DNA variations of <italic>CYP</italic> genes alter pharmacokinetics and responses to certain drugs. In The Human CYP Allele Nomenclature Database (<xref rid="b32-BR-17-6-01582" ref-type="bibr">32</xref>), CYP2 family is primarily involved in drug ‘physiology’, ‘toxicology’ and ‘diverse regulatory mechanisms’ (<xref rid="b33-BR-17-6-01582" ref-type="bibr">33</xref>). Of CYP2 family members, <italic>CYP2D6</italic> presents highly polymorphic and complex structural variations (<xref rid="b34-BR-17-6-01582" ref-type="bibr">34</xref>) and sequence similarities &gt;90% are seen in <italic>CYP2C9</italic> and <italic>CYP2C19</italic> (<xref rid="b35-BR-17-6-01582" ref-type="bibr">35</xref>). In previous studies, <italic>CYP</italic> gene copy numbers (<italic>CYP2D6</italic>) have been determined by pyrosequencing (<xref rid="b36-BR-17-6-01582" ref-type="bibr">36</xref>), loop-mediated isothermal ampliﬁcation, electrochemical DNA chip (<xref rid="b37-BR-17-6-01582" ref-type="bibr">37</xref>) and real-time PCR detection (<xref rid="b38-BR-17-6-01582" ref-type="bibr">38</xref>). Commercial kits and advanced genotyping techniques have also been developed for clinical implementation, including AmpliChip CYP450, TaqMan assays, Luminex xTAG, next-generation sequencing platforms and MassARRAY as systematic algorithms (<xref rid="b39-BR-17-6-01582" ref-type="bibr">39</xref>).</p>
<p><italic>CYP</italic> genetic testing is used to monitor patients effectively for therapeutic indication. However, the greater challenge of PGx testing is economic (<xref rid="b40-BR-17-6-01582" ref-type="bibr">40</xref>). Therefore, the present aimed to introduce a new basic platform to be able to use before traditional genotyping methods in unknown patient samples. Although the present data cannot demonstrate the extent of genotype predictable phenotype, it may serve as the fundamental consideration whether patient has genetic variants. Using fast COLD-PCR as initial screening test and combination with other genotyping testing for positive results may provide a more affordable approach in precision medicine. Therefore, the present study aimed to evaluate fast COLD-PCR as prescreening strategy to monitor patient safety. In addition, fast COLD-PCR is also simple, easy, and cheap enough to be widely used in routine lab work.</p>
<p>The present study observed a positive MT band with no WT band on 2% agarose gel on the precise Tc of each SNP. Previously, different PCR protocols for each reaction were required for Tc per amplicon and multiplexing in fast COLD-PCR was problematic due to precise Tc which only denatures mutant sequence at its specific temperature. However, the present study combined multiplexed fast COLD-PCR using 10+10+20 cycles with three different Tc values of five variants (from low to high Tc). The performance evaluation showed notable results in this single system. The following estimated frequencies were obtained in our Thai-population-focused study: 3.7% in <italic>CYP2C9*2</italic> and <italic>CYP2C19*3</italic>, 55.5% in <italic>CYP2C19*2</italic>, 77.7% in <italic>CYP2D6*10</italic>, and 14.8% in <italic>CYP2D6*41.</italic> In previous studies, frequencies of only 0.08% for <italic>CYP2C9*2</italic>, 25.6% for <italic>CYP2C19*2</italic> and 2.5% for <italic>CYP2C19*3</italic> alleles were found in a Thai population (<xref rid="b26-BR-17-6-01582" ref-type="bibr">26</xref>,<xref rid="b41-BR-17-6-01582" ref-type="bibr">41</xref>). For <italic>CYP2D6</italic> in Thai population, the decreased-function allele <italic>CYP2D6*10</italic> is the most common allele found in patients treated with risperidone, at 51.8%, followed by <italic>CYP2D6*41</italic> at 6.8% (<xref rid="b42-BR-17-6-01582" ref-type="bibr">42</xref>). Although the present allele representation frequency was higher than previous studies (<xref rid="b26-BR-17-6-01582" ref-type="bibr">26</xref>,<xref rid="b41-BR-17-6-01582" ref-type="bibr">41</xref>,<xref rid="b42-BR-17-6-01582" ref-type="bibr">42</xref>), it may be due to small sample size. Nevertheless, the present COLD-PCR results showed 100% agreement with Sanger sequencing results. Therefore, the present method may be applicable as an initial test for unknown samples before haplotyping. Furthermore, the cost (not including DNA extraction) of fast COLD-PCR in our routine pharmacogenetic laboratory service is Thai baht (THB) 125/test (USD $3.6), as opposed to THB 1,200/test (USD $34.59) for Sanger sequencing. Our study introduces an easily applicable prescreening methodology in PGx settings.</p>
<p>However, the present methodology had limitations. One constraint is in enriching only Tm-reducing variations. <italic>CYP2C9*3</italic> (1075A&gt;C), a Tm-increasing mutant, was not included and further COLD-PCR technique, such as full COLD-PCR, is required to detect all types of mutations (Tm-increase, Tm-equivalent, Tm-decrease). The present study used only 27 samples; thus, larger sample size is required to identify further SNPs. The present method is a qualitative screening; for patients with positive results, additional methods should be used to distinguish homozygous or heterozygous genotypes. Nevertheless, the aim of this study is to consider PGx testing in a cost-effective way. Currently, the plurality of commercial assay is available, however, our main objective is to view PGx testing by applying only conventional PCR machine before sequencing or genetic testing.</p>
<p>The present study approached the first prescreening pipeline in mutation detection before traditional genotyping methods. Here, fast COLD-PCR methodology correctly identified all WT samples. Only MT samples only need traditional genotyping to distinguish homozygous or heterozygous type. For example, for <italic>CYP2C9*2</italic> and <italic>CYP2C19*3</italic>, 26 out of 27 samples were WT. Therefore, sequencing or genetic testing for genotype (heterozygous or homozygous) would not be needed in 26 samples. Therefore, cost for the whole pipeline would be decreased and WT samples reported faster with the present screening PCR test. This method may decrease unnecessary costs of expensive genotyping in patients.</p>
<p>To the best of our knowledge, the present study is the first to propose fast COLD-PCR as a solution to the economic barrier of PGx implementation. This method only needs conventional PCR machine to perform and it shows the results as positive/negative. Therefore, it can screen out WT samples and only positive MT bands need traditional genetic testing. This method can be used to assess genetic variants as an easy cost-effective strategy.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors' contributions</title>
<p>YMN, SD, CS, AL, PP and NA conceptualized the study. YMN, SD and NA designed the experiments. YMN and NA analyzed data. YMN performed the experiments and visualized data. SD and CS confirm the authenticity of all the raw data. Resources from CS. YMN, AL, PP, SD, CS and NA drafted and edited the manuscript. NA supervised the study. All authors have read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the Research Ethics Committee, Faculty of Associated Medical Sciences, Chiang Mai University, Thailand (approval no. AMSEC-64EX-130; date of approval: 28 December 2021). Written informed consent was obtained from all subjects.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="b1-BR-17-6-01582"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Arici</surname><given-names>M</given-names></name><name><surname>Özhan</surname><given-names>G</given-names></name></person-group><article-title>CYP2C9, CYPC19 and CYP2D6 gene profiles and gene susceptibility to drug response and toxicity in Turkish population</article-title><source>Saudi Pharm J</source><volume>25</volume><fpage>376</fpage><lpage>380</lpage><year>2017</year><pub-id pub-id-type="pmid">28344492</pub-id><pub-id pub-id-type="doi">10.1016/j.jsps.2016.09.003</pub-id></element-citation></ref>
<ref id="b2-BR-17-6-01582"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brockmöller</surname><given-names>J</given-names></name><name><surname>Kirchheiner</surname><given-names>J</given-names></name><name><surname>Meisel</surname><given-names>C</given-names></name><name><surname>Roots</surname><given-names>I</given-names></name></person-group><article-title>Pharmacogenetic diagnostics of cytochrome P450 polymorphisms in clinical drug development and in drug treatment</article-title><source>Pharmacogenomics</source><volume>1</volume><fpage>125</fpage><lpage>151</lpage><year>2000</year><pub-id pub-id-type="pmid">11256586</pub-id><pub-id pub-id-type="doi">10.1517/14622416.1.2.125</pub-id></element-citation></ref>
<ref id="b3-BR-17-6-01582"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Malki</surname><given-names>MA</given-names></name><name><surname>Pearson</surname><given-names>ER</given-names></name></person-group><article-title>Drug-drug-gene interactions and adverse drug reactions</article-title><source>Pharmacogenomics J</source><volume>20</volume><fpage>355</fpage><lpage>366</lpage><year>2020</year><pub-id pub-id-type="pmid">31792369</pub-id><pub-id pub-id-type="doi">10.1038/s41397-019-0122-0</pub-id></element-citation></ref>
<ref id="b4-BR-17-6-01582"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>D'Empaire</surname><given-names>I</given-names></name><name><surname>Guico-Pabia</surname><given-names>CJ</given-names></name><name><surname>Preskorn</surname><given-names>SH</given-names></name></person-group><article-title>Antidepressant treatment and altered CYP2D6 activity: Are pharmacokinetic variations clinically relevant?</article-title><source>J Psychiatr Pract</source><volume>17</volume><fpage>330</fpage><lpage>339</lpage><year>2011</year><pub-id pub-id-type="pmid">21926528</pub-id><pub-id pub-id-type="doi">10.1097/01.pra.0000405363.95881.01</pub-id></element-citation></ref>
<ref id="b5-BR-17-6-01582"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sim</surname><given-names>SC</given-names></name><name><surname>Risinger</surname><given-names>C</given-names></name><name><surname>Dahl</surname><given-names>ML</given-names></name><name><surname>Aklillu</surname><given-names>E</given-names></name><name><surname>Christensen</surname><given-names>M</given-names></name><name><surname>Bertilsson</surname><given-names>L</given-names></name><name><surname>Ingelman-Sundberg</surname><given-names>M</given-names></name></person-group><article-title>A common novel CYP2C19 gene variant causes ultrarapid drug metabolism relevant for the drug response to proton pump inhibitors and antidepressants</article-title><source>Clin Pharmacol Ther</source><volume>79</volume><fpage>103</fpage><lpage>113</lpage><year>2006</year><pub-id pub-id-type="pmid">16413245</pub-id><pub-id pub-id-type="doi">10.1016/j.clpt.2005.10.002</pub-id></element-citation></ref>
<ref id="b6-BR-17-6-01582"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Westergaard</surname><given-names>N</given-names></name><name><surname>Søgaard Nielsen</surname><given-names>R</given-names></name><name><surname>Jørgensen</surname><given-names>S</given-names></name><name><surname>Vermehren</surname><given-names>C</given-names></name></person-group><article-title>Drug use in denmark for drugs having pharmacogenomics (PGx) based dosing guidelines from CPIC or DPWG for CYP2D6 and CYP2C19 Drug-gene pairs: Perspectives for introducing PGx test to polypharmacy patients</article-title><source>J Pers Med</source><volume>10</volume><issue>3</issue><year>2020</year><pub-id pub-id-type="pmid">31963319</pub-id><pub-id pub-id-type="doi">10.3390/jpm10010003</pub-id></element-citation></ref>
<ref id="b7-BR-17-6-01582"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Abdullah-Koolmees</surname><given-names>H</given-names></name><name><surname>van Keulen</surname><given-names>AM</given-names></name><name><surname>Nijenhuis</surname><given-names>M</given-names></name><name><surname>Deneer</surname><given-names>VHM</given-names></name></person-group><article-title>Pharmacogenetics guidelines: Overview and comparison of the DPWG, CPIC, CPNDS, and RNPGx guidelines</article-title><source>Front Pharmacol</source><volume>11</volume><issue>595219</issue><year>2021</year><pub-id pub-id-type="pmid">33568995</pub-id><pub-id pub-id-type="doi">10.3389/fphar.2020.595219</pub-id></element-citation></ref>
<ref id="b8-BR-17-6-01582"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Verbeurgt</surname><given-names>P</given-names></name><name><surname>Mamiya</surname><given-names>T</given-names></name><name><surname>Oesterheld</surname><given-names>J</given-names></name></person-group><article-title>How common are drug and gene interactions? Prevalence in a sample of 1143 patients with CYP2C9, CYP2C19 and CYP2D6 genotyping</article-title><source>Pharmacogenomics</source><volume>15</volume><fpage>655</fpage><lpage>665</lpage><year>2014</year><pub-id pub-id-type="pmid">24798722</pub-id><pub-id pub-id-type="doi">10.2217/pgs.14.6</pub-id></element-citation></ref>
<ref id="b9-BR-17-6-01582"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dong</surname><given-names>Y</given-names></name><name><surname>Xiao</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>Q</given-names></name><name><surname>Zhang</surname><given-names>C</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Yao</surname><given-names>N</given-names></name><name><surname>Sheng</surname><given-names>H</given-names></name><name><surname>Li</surname><given-names>H</given-names></name></person-group><article-title>Analysis of genetic variations in CYP2C9, CYP2C19, CYP2D6 and CYP3A5 genes using oligonucleotide microarray</article-title><source>Int J Clin Exp Med</source><volume>8</volume><fpage>18917</fpage><lpage>18926</lpage><year>2015</year><pub-id pub-id-type="pmid">26770516</pub-id></element-citation></ref>
<ref id="b10-BR-17-6-01582"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Samer</surname><given-names>CF</given-names></name><name><surname>Lorenzini</surname><given-names>KI</given-names></name><name><surname>Rollason</surname><given-names>V</given-names></name><name><surname>Daali</surname><given-names>Y</given-names></name><name><surname>Desmeules</surname><given-names>JA</given-names></name></person-group><article-title>Applications of CYP450 testing in the clinical setting</article-title><source>Mol Diagn Ther</source><volume>17</volume><fpage>165</fpage><lpage>184</lpage><year>2013</year><pub-id pub-id-type="pmid">23588782</pub-id><pub-id pub-id-type="doi">10.1007/s40291-013-0028-5</pub-id></element-citation></ref>
<ref id="b11-BR-17-6-01582"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sukri</surname><given-names>A</given-names></name><name><surname>Salleh</surname><given-names>MZ</given-names></name><name><surname>Masimirembwa</surname><given-names>C</given-names></name><name><surname>Teh</surname><given-names>LK</given-names></name></person-group><article-title>A systematic review on the cost effectiveness of pharmacogenomics in developing countries: Implementation challenges</article-title><source>Pharmacogenomics J</source><volume>22</volume><fpage>147</fpage><lpage>159</lpage><year>2022</year><pub-id pub-id-type="pmid">35319010</pub-id><pub-id pub-id-type="doi">10.1038/s41397-022-00272-w</pub-id></element-citation></ref>
<ref id="b12-BR-17-6-01582"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luzum</surname><given-names>JA</given-names></name><name><surname>Luzum</surname><given-names>MJ</given-names></name></person-group><article-title>Physicians' attitudes toward pharmacogenetic testing before and after pharmacogenetic education</article-title><source>Per Med</source><volume>13</volume><fpage>119</fpage><lpage>127</lpage><year>2016</year><pub-id pub-id-type="pmid">29749904</pub-id><pub-id pub-id-type="doi">10.2217/pme.15.57</pub-id></element-citation></ref>
<ref id="b13-BR-17-6-01582"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Galbiati</surname><given-names>S</given-names></name><name><surname>Monguzzi</surname><given-names>A</given-names></name><name><surname>Damin</surname><given-names>F</given-names></name><name><surname>Soriani</surname><given-names>N</given-names></name><name><surname>Passiu</surname><given-names>M</given-names></name><name><surname>Castellani</surname><given-names>C</given-names></name><name><surname>Natacci</surname><given-names>F</given-names></name><name><surname>Curcio</surname><given-names>C</given-names></name><name><surname>Seia</surname><given-names>M</given-names></name><name><surname>Lalatta</surname><given-names>F</given-names></name><etal/></person-group><article-title>COLD-PCR and microarray: Two independent highly sensitive approaches allowing the identification of fetal paternally inherited mutations in maternal plasma</article-title><source>J Med Genet</source><volume>53</volume><fpage>481</fpage><lpage>487</lpage><year>2016</year><pub-id pub-id-type="pmid">26912453</pub-id><pub-id pub-id-type="doi">10.1136/jmedgenet-2015-103229</pub-id></element-citation></ref>
<ref id="b14-BR-17-6-01582"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Byrou</surname><given-names>S</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name><name><surname>Christofides</surname><given-names>A</given-names></name><name><surname>Kallikas</surname><given-names>I</given-names></name><name><surname>Papasavva</surname><given-names>T</given-names></name><name><surname>Kleanthous</surname><given-names>M</given-names></name></person-group><article-title>Fast Temperature-gradient COLD PCR for the enrichment of the paternally inherited SNPs in cell free fetal DNA; an application to non-invasive prenatal diagnosis of β-thalassaemia</article-title><source>PLoS One</source><volume>13</volume><issue>e0200348</issue><year>2018</year><pub-id pub-id-type="pmid">30044883</pub-id><pub-id pub-id-type="doi">10.1371/journal.pone.0200348</pub-id></element-citation></ref>
<ref id="b15-BR-17-6-01582"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>L</given-names></name><name><surname>Mamon</surname><given-names>H</given-names></name><name><surname>Kulke</surname><given-names>MH</given-names></name><name><surname>Berbeco</surname><given-names>R</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name></person-group><article-title>Replacing PCR with COLD-PCR enriches variant DNA sequences and redefines the sensitivity of genetic testing</article-title><source>Nat Med</source><volume>14</volume><fpage>579</fpage><lpage>584</lpage><year>2008</year><pub-id pub-id-type="pmid">18408729</pub-id><pub-id pub-id-type="doi">10.1038/nm1708</pub-id></element-citation></ref>
<ref id="b16-BR-17-6-01582"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Boisselier</surname><given-names>B</given-names></name><name><surname>Marie</surname><given-names>Y</given-names></name><name><surname>Labussière</surname><given-names>M</given-names></name><name><surname>Ciccarino</surname><given-names>P</given-names></name><name><surname>Desestret</surname><given-names>V</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Capelle</surname><given-names>L</given-names></name><name><surname>Delattre</surname><given-names>JY</given-names></name><name><surname>Sanson</surname><given-names>M</given-names></name></person-group><article-title>COLD PCR HRM: A highly sensitive detection method for IDH1 mutations</article-title><source>Hum Mutat</source><volume>31</volume><fpage>1360</fpage><lpage>1365</lpage><year>2010</year><pub-id pub-id-type="pmid">20886613</pub-id><pub-id pub-id-type="doi">10.1002/humu.21365</pub-id></element-citation></ref>
<ref id="b17-BR-17-6-01582"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname><given-names>J</given-names></name><name><surname>Milbury</surname><given-names>CA</given-names></name><name><surname>Li</surname><given-names>C</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name></person-group><article-title>Two-round coamplification at lower denaturation temperature-PCR (COLD-PCR)-based sanger sequencing identifies a novel spectrum of low-level mutations in lung adenocarcinoma</article-title><source>Hum Mutat</source><volume>30</volume><fpage>1583</fpage><lpage>1590</lpage><year>2009</year><pub-id pub-id-type="pmid">19760750</pub-id><pub-id pub-id-type="doi">10.1002/humu.21112</pub-id></element-citation></ref>
<ref id="b18-BR-17-6-01582"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zuo</surname><given-names>Z</given-names></name><name><surname>Chen</surname><given-names>SS</given-names></name><name><surname>Chandra</surname><given-names>PK</given-names></name><name><surname>Galbincea</surname><given-names>JM</given-names></name><name><surname>Soape</surname><given-names>M</given-names></name><name><surname>Doan</surname><given-names>S</given-names></name><name><surname>Barkoh</surname><given-names>BA</given-names></name><name><surname>Koeppen</surname><given-names>H</given-names></name><name><surname>Medeiros</surname><given-names>LJ</given-names></name><name><surname>Luthra</surname><given-names>R</given-names></name></person-group><article-title>Application of COLD-PCR for improved detection of KRAS mutations in clinical samples</article-title><source>Mod Pathol</source><volume>22</volume><fpage>1023</fpage><lpage>1031</lpage><year>2009</year><pub-id pub-id-type="pmid">19430420</pub-id><pub-id pub-id-type="doi">10.1038/modpathol.2009.59</pub-id></element-citation></ref>
<ref id="b19-BR-17-6-01582"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kristensen</surname><given-names>LS</given-names></name><name><surname>Daugaard</surname><given-names>IL</given-names></name><name><surname>Christensen</surname><given-names>M</given-names></name><name><surname>Hamilton-Dutoit</surname><given-names>S</given-names></name><name><surname>Hager</surname><given-names>H</given-names></name><name><surname>Hansen</surname><given-names>LL</given-names></name></person-group><article-title>Increased sensitivity of KRAS mutation detection by high-resolution melting analysis of COLD-PCR products</article-title><source>Hum Mutat</source><volume>31</volume><fpage>1366</fpage><lpage>1373</lpage><year>2010</year><pub-id pub-id-type="pmid">20848649</pub-id><pub-id pub-id-type="doi">10.1002/humu.21358</pub-id></element-citation></ref>
<ref id="b20-BR-17-6-01582"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Milbury</surname><given-names>CA</given-names></name><name><surname>Chen</surname><given-names>CC</given-names></name><name><surname>Mamon</surname><given-names>H</given-names></name><name><surname>Liu</surname><given-names>P</given-names></name><name><surname>Santagata</surname><given-names>S</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name></person-group><article-title>Multiplex amplification coupled with COLD-PCR and high resolution melting enables identification of low-abundance mutations in cancer samples with low DNA content</article-title><source>J Mol Diagn</source><volume>13</volume><fpage>220</fpage><lpage>232</lpage><year>2011</year><pub-id pub-id-type="pmid">21354058</pub-id><pub-id pub-id-type="doi">10.1016/j.jmoldx.2010.10.008</pub-id></element-citation></ref>
<ref id="b21-BR-17-6-01582"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Castellanos-Rizaldos</surname><given-names>E</given-names></name><name><surname>Liu</surname><given-names>P</given-names></name><name><surname>Milbury</surname><given-names>CA</given-names></name><name><surname>Guha</surname><given-names>M</given-names></name><name><surname>Brisci</surname><given-names>A</given-names></name><name><surname>Cremonesi</surname><given-names>L</given-names></name><name><surname>Ferrari</surname><given-names>M</given-names></name><name><surname>Mamon</surname><given-names>H</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name></person-group><article-title>Temperature-tolerant COLD-PCR reduces temperature stringency and enables robust mutation enrichment</article-title><source>Clin Chem</source><volume>58</volume><fpage>1130</fpage><lpage>1138</lpage><year>2012</year><pub-id pub-id-type="pmid">22587896</pub-id><pub-id pub-id-type="doi">10.1373/clinchem.2012.183095</pub-id></element-citation></ref>
<ref id="b22-BR-17-6-01582"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Castellanos-Rizaldos</surname><given-names>E</given-names></name><name><surname>Milbury</surname><given-names>CA</given-names></name><name><surname>Makrigiorgos</surname><given-names>GM</given-names></name></person-group><article-title>Enrichment of mutations in multiple DNA sequences using COLD-PCR in emulsion</article-title><source>PLoS One</source><volume>7</volume><issue>e51362</issue><year>2012</year><pub-id pub-id-type="pmid">23236486</pub-id><pub-id pub-id-type="doi">10.1371/journal.pone.0051362</pub-id></element-citation></ref>
<ref id="b23-BR-17-6-01582"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carotenuto</surname><given-names>P</given-names></name><name><surname>Roma</surname><given-names>C</given-names></name><name><surname>Cozzolino</surname><given-names>S</given-names></name><name><surname>Fenizia</surname><given-names>F</given-names></name><name><surname>Rachiglio</surname><given-names>AM</given-names></name><name><surname>Tatangelo</surname><given-names>F</given-names></name><name><surname>Iannaccone</surname><given-names>A</given-names></name><name><surname>Baron</surname><given-names>L</given-names></name><name><surname>Botti</surname><given-names>G</given-names></name><name><surname>Normanno</surname><given-names>N</given-names></name></person-group><article-title>Detection of KRAS mutations in colorectal cancer with Fast COLD-PCR</article-title><source>Int J Oncol</source><volume>40</volume><fpage>378</fpage><lpage>384</lpage><year>2012</year><pub-id pub-id-type="pmid">21971641</pub-id><pub-id pub-id-type="doi">10.3892/ijo.2011.1221</pub-id></element-citation></ref>
<ref id="b24-BR-17-6-01582"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sistonen</surname><given-names>J</given-names></name><name><surname>Fuselli</surname><given-names>S</given-names></name><name><surname>Palo</surname><given-names>JU</given-names></name><name><surname>Chauhan</surname><given-names>N</given-names></name><name><surname>Padh</surname><given-names>H</given-names></name><name><surname>Sajantila</surname><given-names>A</given-names></name></person-group><article-title>Pharmacogenetic variation at CYP2C9, CYP2C19, and CYP2D6 at global and microgeographic scales</article-title><source>Pharmacogenet Genomics</source><volume>19</volume><fpage>170</fpage><lpage>179</lpage><year>2009</year><pub-id pub-id-type="pmid">19151603</pub-id><pub-id pub-id-type="doi">10.1097/FPC.0b013e32831ebb30</pub-id></element-citation></ref>
<ref id="b25-BR-17-6-01582"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bradford</surname><given-names>LD</given-names></name></person-group><article-title>CYP2D6 allele frequency in European Caucasians, Asians, Africans and their descendants</article-title><source>Pharmacogenomics</source><volume>3</volume><fpage>229</fpage><lpage>243</lpage><year>2002</year><pub-id pub-id-type="pmid">11972444</pub-id><pub-id pub-id-type="doi">10.1517/14622416.3.2.229</pub-id></element-citation></ref>
<ref id="b26-BR-17-6-01582"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dorji</surname><given-names>PW</given-names></name><name><surname>Tshering</surname><given-names>G</given-names></name><name><surname>Na-Bangchang</surname><given-names>K</given-names></name></person-group><article-title>CYP2C9, CYP2C19, CYP2D6 and CYP3A5 polymorphisms in south-east and east asian populations: A systematic review</article-title><source>J Clin Pharm Ther</source><volume>44</volume><fpage>508</fpage><lpage>524</lpage><year>2019</year><pub-id pub-id-type="pmid">30980418</pub-id><pub-id pub-id-type="doi">10.1111/jcpt.12835</pub-id></element-citation></ref>
<ref id="b27-BR-17-6-01582"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tassaneeyakul</surname><given-names>W</given-names></name><name><surname>Mahatthanatrakul</surname><given-names>W</given-names></name><name><surname>Niwatananun</surname><given-names>K</given-names></name><name><surname>Na-Bangchang</surname><given-names>K</given-names></name><name><surname>Tawalee</surname><given-names>A</given-names></name><name><surname>Krikreangsak</surname><given-names>N</given-names></name><name><surname>Cykleng</surname><given-names>U</given-names></name><name><surname>Tassaneeyakul</surname><given-names>W</given-names></name></person-group><article-title>CYP2C19 genetic polymorphism in thai, burmese and karen populations</article-title><source>Drug Metab Pharmacokinet</source><volume>21</volume><fpage>286</fpage><lpage>290</lpage><year>2006</year><pub-id pub-id-type="pmid">16946555</pub-id><pub-id pub-id-type="doi">10.2133/dmpk.21.286</pub-id></element-citation></ref>
<ref id="b28-BR-17-6-01582"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lo</surname><given-names>C</given-names></name><name><surname>Nguyen</surname><given-names>S</given-names></name><name><surname>Yang</surname><given-names>C</given-names></name><name><surname>Witt</surname><given-names>L</given-names></name><name><surname>Wen</surname><given-names>A</given-names></name><name><surname>Liao</surname><given-names>TV</given-names></name><name><surname>Nguyen</surname><given-names>J</given-names></name><name><surname>Lin</surname><given-names>B</given-names></name><name><surname>Altman</surname><given-names>RB</given-names></name><name><surname>Palaniappan</surname><given-names>L</given-names></name></person-group><article-title>Pharmacogenomics in asian subpopulations and impacts on commonly prescribed medications</article-title><source>Clin Transl Sci</source><volume>13</volume><fpage>861</fpage><lpage>870</lpage><year>2020</year><pub-id pub-id-type="pmid">32100936</pub-id><pub-id pub-id-type="doi">10.1111/cts.12771</pub-id></element-citation></ref>
<ref id="b29-BR-17-6-01582"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Crossley</surname><given-names>BM</given-names></name><name><surname>Bai</surname><given-names>J</given-names></name><name><surname>Glaser</surname><given-names>A</given-names></name><name><surname>Maes</surname><given-names>R</given-names></name><name><surname>Porter</surname><given-names>E</given-names></name><name><surname>Killian</surname><given-names>ML</given-names></name><name><surname>Clement</surname><given-names>T</given-names></name><name><surname>Toohey-Kurth</surname><given-names>K</given-names></name></person-group><article-title>. Guidelines for Sanger sequencing and molecular assay monitoring</article-title><source>J Vet Diagn Invest</source><volume>32</volume><fpage>767</fpage><lpage>775</lpage><year>2020</year><pub-id pub-id-type="pmid">32070230</pub-id><pub-id pub-id-type="doi">10.1177/1040638720905833</pub-id></element-citation></ref>
<ref id="b30-BR-17-6-01582"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Blazejewski</surname><given-names>T</given-names></name><name><surname>Ho</surname><given-names>HI</given-names></name><name><surname>Wang</surname><given-names>HH</given-names></name></person-group><article-title>Synthetic sequence entanglement augments stability and containment of genetic information in cells</article-title><source>Science</source><volume>365</volume><fpage>595</fpage><lpage>598</lpage><year>2019</year><pub-id pub-id-type="pmid">31395784</pub-id><pub-id pub-id-type="doi">10.1126/science.aav5477</pub-id></element-citation></ref>
<ref id="b31-BR-17-6-01582"><label>31</label><element-citation publication-type="journal"><comment>Macrogen. Capillary Electrophoresis Sequencing (CES). Available online: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://dna.macrogen.com/pageLinkDnaSys.do?layout=page_sub&amp;link=/support/retrieveGuideCes">https://dna.macrogen.com/pageLinkDnaSys.do?layout=page_sub&amp;link=/support/retrieveGuideCes</ext-link> (Accession date 16 October 2022).</comment></element-citation></ref>
<ref id="b32-BR-17-6-01582"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sim</surname><given-names>SC</given-names></name><name><surname>Ingelman-Sundberg</surname><given-names>M</given-names></name></person-group><article-title>The human cytochrome P450 (CYP) allele nomenclature website: A peer-reviewed database of CYP variants and their associated effects</article-title><source>Hum Genomics</source><volume>4</volume><issue>278</issue><year>2010</year><pub-id pub-id-type="pmid">20511141</pub-id><pub-id pub-id-type="doi">10.1186/1479-7364-4-4-278</pub-id></element-citation></ref>
<ref id="b33-BR-17-6-01582"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kubota</surname><given-names>A</given-names></name><name><surname>Stegeman</surname><given-names>JJ</given-names></name><name><surname>Goldstone</surname><given-names>JV</given-names></name><name><surname>Nelson</surname><given-names>DR</given-names></name><name><surname>Kim</surname><given-names>EY</given-names></name><name><surname>Tanabe</surname><given-names>S</given-names></name><name><surname>Iwata</surname><given-names>H</given-names></name></person-group><article-title>Cytochrome P450 CYP2 genes in the common cormorant: Evolutionary relationships with 130 diapsid CYP2 clan sequences and chemical effects on their expression</article-title><source>Comp Biochem Physiol C Toxicol Pharmacol</source><volume>153</volume><fpage>280</fpage><lpage>289</lpage><year>2011</year><pub-id pub-id-type="pmid">21130899</pub-id><pub-id pub-id-type="doi">10.1016/j.cbpc.2010.11.006</pub-id></element-citation></ref>
<ref id="b34-BR-17-6-01582"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gaedigk</surname><given-names>A</given-names></name></person-group><article-title>Complexities of CYP2D6 gene analysis and interpretation</article-title><source>Int Rev Psychiatry</source><volume>25</volume><fpage>534</fpage><lpage>553</lpage><year>2013</year><pub-id pub-id-type="pmid">24151800</pub-id><pub-id pub-id-type="doi">10.3109/09540261.2013.825581</pub-id></element-citation></ref>
<ref id="b35-BR-17-6-01582"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gotoh</surname><given-names>O</given-names></name></person-group><article-title>Substrate recognition sites in cytochrome P450 family 2 (CYP2) proteins inferred from comparative analyses of amino acid and coding nucleotide sequences</article-title><source>J Biol Chem</source><volume>267</volume><fpage>83</fpage><lpage>90</lpage><year>1992</year><pub-id pub-id-type="pmid">1730627</pub-id></element-citation></ref>
<ref id="b36-BR-17-6-01582"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Söderbäck</surname><given-names>E</given-names></name><name><surname>Zackrisson</surname><given-names>AL</given-names></name><name><surname>Lindblom</surname><given-names>B</given-names></name><name><surname>Alderborn</surname><given-names>A</given-names></name></person-group><article-title>Determination of CYP2D6 gene copy number by pyrosequencing</article-title><source>Clin Chem</source><volume>51</volume><fpage>522</fpage><lpage>531</lpage><year>2005</year><pub-id pub-id-type="pmid">15650034</pub-id><pub-id pub-id-type="doi">10.1373/clinchem.2004.043182</pub-id></element-citation></ref>
<ref id="b37-BR-17-6-01582"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nakamura</surname><given-names>N</given-names></name><name><surname>Fukuda</surname><given-names>T</given-names></name><name><surname>Nonen</surname><given-names>S</given-names></name><name><surname>Hashimoto</surname><given-names>K</given-names></name><name><surname>Azuma</surname><given-names>J</given-names></name><name><surname>Gemma</surname><given-names>N</given-names></name></person-group><article-title>Simple and accurate determination of CYP2D6 gene copy number by a loop-mediated isothermal amplification method and an electrochemical DNA chip</article-title><source>Clin Chim Acta</source><volume>411</volume><fpage>568</fpage><lpage>573</lpage><year>2010</year><pub-id pub-id-type="pmid">20093110</pub-id><pub-id pub-id-type="doi">10.1016/j.cca.2010.01.017</pub-id></element-citation></ref>
<ref id="b38-BR-17-6-01582"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Puaprasert</surname><given-names>K</given-names></name><name><surname>Chu</surname><given-names>C</given-names></name><name><surname>Saralamba</surname><given-names>N</given-names></name><name><surname>Day</surname><given-names>NPJ</given-names></name><name><surname>Nosten</surname><given-names>F</given-names></name><name><surname>White</surname><given-names>NJ</given-names></name><name><surname>Dondorp</surname><given-names>AM</given-names></name><name><surname>Imwong</surname><given-names>M</given-names></name></person-group><article-title>Real time PCR detection of common CYP2D6 genetic variants and its application in a Karen population study</article-title><source>Malar J</source><volume>17</volume><issue>427</issue><year>2018</year><pub-id pub-id-type="pmid">30442143</pub-id><pub-id pub-id-type="doi">10.1186/s12936-018-2579-8</pub-id></element-citation></ref>
<ref id="b39-BR-17-6-01582"><label>39</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carvalho Henriques</surname><given-names>B</given-names></name><name><surname>Buchner</surname><given-names>A</given-names></name><name><surname>Hu</surname><given-names>X</given-names></name><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Yavorskyy</surname><given-names>V</given-names></name><name><surname>Wallace</surname><given-names>K</given-names></name><name><surname>Dong</surname><given-names>R</given-names></name><name><surname>Martens</surname><given-names>K</given-names></name><name><surname>Carr</surname><given-names>MS</given-names></name><name><surname>Asl</surname><given-names>B</given-names></name><etal/></person-group><article-title>Methodology for clinical genotyping of CYP2D6 and CYP2C19</article-title><source>Transl Psychiatry</source><volume>11</volume><issue>596</issue><year>2021</year><pub-id pub-id-type="pmid">34811360</pub-id><pub-id pub-id-type="doi">10.1038/s41398-021-01717-9</pub-id></element-citation></ref>
<ref id="b40-BR-17-6-01582"><label>40</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>de Lecea</surname><given-names>MGM</given-names></name><name><surname>Rossbach</surname><given-names>M</given-names></name></person-group><article-title>Translational genomics in personalized medicine-scientific challenges en route to clinical practice</article-title><source>Hugo J</source><volume>6</volume><issue>2</issue><year>2012</year></element-citation></ref>
<ref id="b41-BR-17-6-01582"><label>41</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sukprasong</surname><given-names>R</given-names></name><name><surname>Chuwongwattana</surname><given-names>S</given-names></name><name><surname>Koomdee</surname><given-names>N</given-names></name><name><surname>Jantararoungtong</surname><given-names>T</given-names></name><name><surname>Prommas</surname><given-names>S</given-names></name><name><surname>Jinda</surname><given-names>P</given-names></name><name><surname>Rachanakul</surname><given-names>J</given-names></name><name><surname>Nuntharadthanaphong</surname><given-names>N</given-names></name><name><surname>Jongjitsook</surname><given-names>N</given-names></name><name><surname>Puangpetch</surname><given-names>A</given-names></name><name><surname>Sukasem</surname><given-names>C</given-names></name></person-group><article-title>Allele frequencies of single nucleotide polymorphisms of clinically important drug-metabolizing enzymes CYP2C9, CYP2C19, and CYP3A4 in a Thai population</article-title><source>Sci Rep</source><volume>11</volume><issue>12343</issue><year>2021</year><pub-id pub-id-type="pmid">34117307</pub-id><pub-id pub-id-type="doi">10.1038/s41598-021-90969-y</pub-id></element-citation></ref>
<ref id="b42-BR-17-6-01582"><label>42</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hongkaew</surname><given-names>Y</given-names></name><name><surname>Gaedigk</surname><given-names>A</given-names></name><name><surname>Wilffert</surname><given-names>B</given-names></name><name><surname>Ngamsamut</surname><given-names>N</given-names></name><name><surname>Kittitharaphan</surname><given-names>W</given-names></name><name><surname>Limsila</surname><given-names>P</given-names></name><name><surname>Sukasem</surname><given-names>C</given-names></name></person-group><article-title>Relationship between CYP2D6 genotype, activity score and phenotype in a pediatric Thai population treated with risperidone</article-title><source>Sci Rep</source><volume>11</volume><issue>4158</issue><year>2021</year><pub-id pub-id-type="pmid">33603025</pub-id><pub-id pub-id-type="doi">10.1038/s41598-021-83570-w</pub-id></element-citation></ref>
</ref-list>
</back>
<floats-group>
<fig id="f1-BR-17-6-01582" position="float">
<label>Figure 1</label>
<caption><p>Overall workflow of fast COLD-PCR. Ten cycles of regular PCR were performed for the target amplicons. Subsequently, fast COLD-PCR was applied as follows: Tc1=75.0˚C (10 cycles), Tc2=87.0˚C (10 cycles) and Tc3=90.5˚C (20 cycles). The final products of five variants were successfully enriched by preferential amplification using multiplexed fast COLD-PCR. The bold text is optimal Ta at 65˚C and stars indicate the SNP position on the mutant sequence. COLD, co-amplification at lower denaturation temperature; WT, wild-type; MT, mutant; ds, double-stranded.</p></caption>
<graphic xlink:href="br-17-06-01582-g00.tif"/>
</fig>
<fig id="f2-BR-17-6-01582" position="float">
<label>Figure 2</label>
<caption><p>Precise Tc validation of five variants obtained by fast COLD-PCR. Lane M, DNA ladder 100 bp; lanes 1 and 2, synthetic WT and MT of <italic>CYP2C9*2</italic> (150 bp); lanes 3 and 4, synthetic WT and MT of <italic>CYP2C19*2</italic> (206 bp); lanes 5 and 6, synthetic WT and MT of <italic>CYP2C19*3</italic> (192 bp); lanes 7 and 8, synthetic WT and MT of <italic>CYP2D6*10</italic> (160 bp) and lanes 9 and 10, synthetic WT and MT of <italic>CYP2D6*41</italic> (124 bp). COLD, co-amplification at lower denaturation temperature; WT, wild-type; MT, mutant; CYP, cytochrome P450.</p></caption>
<graphic xlink:href="br-17-06-01582-g01.tif"/>
</fig>
<fig id="f3-BR-17-6-01582" position="float">
<label>Figure 3</label>
<caption><p>Analysis of 27 samples by combined fast co-amplification at lower denaturation temperature-PCR using control samples. (A) <italic>CYP2C9*2</italic> (150 bp) showed a positive band in 1 sample using a hetero MT control. (B) <italic>CYP2C19*2</italic> (206 bp) showed positive bands in 15 samples using both hetero and homo MT controls. (C) <italic>CYP2C19*3</italic> (192 bp) showed a positive band in 1 sample using a hetero MT control. (D) <italic>CYP2D6*10</italic> (160 bp) showed positive bands in 21 samples using both hetero and homo MT controls. (E) <italic>CYP2D*41</italic> (124 bp) showed positive bands in 4 samples using a hetero MT control. WT, wild-type; MT, mutant; CYP, cytochrome P450; hetero, heterozygous; homo, homozygous; NTC, no template control.</p></caption>
<graphic xlink:href="br-17-06-01582-g02.tif"/>
</fig>
<fig id="f4-BR-17-6-01582" position="float">
<label>Figure 4</label>
<caption><p>Sanger sequence profiles with chromatogram on five variants. (A) <italic>CYP2C9*2</italic> in WT and hetero MT; (B) <italic>CYP2C19*2</italic> in WT, hetero MT and homo MT; (C) <italic>CYP2C19*3</italic> in WT and hetero MT; (D) <italic>CYP2D6*10</italic> in WT, hetero MT and homo MT; (E) <italic>CYP2D6*41</italic> in WT and hetero MT. CYP, cytochrome P450; WT, wild-type; MT, mutant; hetero, heterozygous; homo, homozygous.</p></caption>
<graphic xlink:href="br-17-06-01582-g03.tif"/>
</fig>
<table-wrap id="tI-BR-17-6-01582" position="float">
<label>Table I</label>
<caption><p>Gene panel selection of <italic>CYP2C9</italic>, <italic>CYP2C19</italic> and <italic>CYP2D6</italic> variants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Allele</th>
<th align="center" valign="middle">Mutation</th>
<th align="center" valign="middle">Rs number</th>
<th align="center" valign="middle">Position of synthetic oligonucleotide sequence (length)</th>
<th align="center" valign="middle">Primer sequence, 5'3'</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle"><italic>CYP2C9*2</italic></td>
<td align="left" valign="middle">430C&gt;T</td>
<td align="left" valign="middle">rs1799853</td>
<td align="left" valign="middle">94942072 <italic>G</italic>AA---------CGT----------</td>
<td align="left" valign="middle">F: GAAATGGAAGGAGATCCGGC</td>
</tr>
<tr>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle">TT<italic>C</italic> 94942561 (490 bp)</td>
<td align="left" valign="middle">R: GATATGGAGTAGGGTCACCC</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CYP2C19*2</italic></td>
<td align="left" valign="middle">681G&gt;A</td>
<td align="left" valign="middle">rs4244285</td>
<td align="left" valign="middle">94781615 <italic>C</italic>AT---------GGG---------</td>
<td align="left" valign="middle">F: CGCCAACCAGAGCTTGGCAT</td>
</tr>
<tr>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle">GA<italic>C</italic> 94782055 (441 bp)</td>
<td align="left" valign="middle">R: CGGGCCATCGATTCTTGGTG</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CYP2C19*3</italic></td>
<td align="left" valign="middle">636G&gt;A</td>
<td align="left" valign="middle">rs4986893</td>
<td align="left" valign="middle">94780502 <italic>C</italic>AC---------GAT----------</td>
<td align="left" valign="middle">F: GGCCGCCAGAAACGTTTCGA</td>
</tr>
<tr>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle">TG<italic>C</italic> 94780955 (454 bp)</td>
<td align="left" valign="middle">R: CGGTACTTCAGGGCTTGGTC</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CYP2D6*10</italic></td>
<td align="left" valign="middle">100C&gt;T</td>
<td align="left" valign="middle">rs1065852</td>
<td align="left" valign="middle">42130444 <italic>C</italic>AG--------GGT---------</td>
<td align="left" valign="middle">F: GGAAGTCCACATGCAGCAGG</td>
</tr>
<tr>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle">CG<italic>C</italic> 42130890 (447 bp)</td>
<td align="left" valign="middle">R: GCAGGTATGGGGCTAGAAGC</td>
</tr>
<tr>
<td align="left" valign="middle"><italic>CYP2D6*41</italic></td>
<td align="left" valign="middle">2988G&gt;A</td>
<td align="left" valign="middle">rs28371725</td>
<td align="left" valign="middle">42127601 <italic>C</italic>CT---------CCT----------</td>
<td align="left" valign="middle">F: GGTCAAGCCTGTGCTTGGAG</td>
</tr>
<tr>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle"> </td>
<td align="left" valign="middle">GT<italic>C</italic> 42128090 (490 bp)</td>
<td align="left" valign="middle">R: CCTACATCCGGATGTGCAGC</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Italics indicate start and end synthetic sequence position. Underline indicates location of single nucleotide polymorphisms. F, forward; R, reverse; CYP, cytochrome 450; rs, reference SNPs.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-BR-17-6-01582" position="float">
<label>Table II</label>
<caption><p>Evaluation of fast COLD-PCR showing 100% consistency with Sanger sequencing on 27 collected samples.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle"> </th>
<th align="center" valign="middle" colspan="2"><italic>CYP2C9*2</italic></th>
<th align="center" valign="middle" colspan="2"><italic>CYP2C19*2</italic></th>
<th align="center" valign="middle" colspan="2"><italic>CYP2C19*3</italic></th>
<th align="center" valign="middle" colspan="2"><italic>CYP2D6*10</italic></th>
<th align="center" valign="middle" colspan="2"><italic>CYP2D6*41</italic></th>
</tr>
<tr>
<th align="left" valign="middle">Result</th>
<th align="center" valign="middle">Fast COLD-PCR</th>
<th align="center" valign="middle">Sanger sequencing</th>
<th align="center" valign="middle">Fast COLD-PCR</th>
<th align="center" valign="middle">Sanger sequencing</th>
<th align="center" valign="middle">Fast COLD-PCR</th>
<th align="center" valign="middle">Sanger sequencing</th>
<th align="center" valign="middle">Fast COLD-PCR</th>
<th align="center" valign="middle">Sanger sequencing</th>
<th align="center" valign="middle">Fast COLD-PCR</th>
<th align="center" valign="middle">Sanger sequencing</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Positive</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">1</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">21</td>
<td align="center" valign="middle">4</td>
<td align="center" valign="middle">4</td>
</tr>
<tr>
<td align="left" valign="middle">Negative</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">6</td>
<td align="center" valign="middle">23</td>
<td align="center" valign="middle">23</td>
</tr>
<tr>
<td align="left" valign="middle">κ value</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
<td align="center" valign="middle">1.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>COLD, co-amplification at lower denaturation temperature; CYP, cytochrome P450. Positive, the respective variant/SNP was detected in the sample; Negative, the respective variant/SNP was not detected in the sample.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
