Background: testing is increasingly used to guide drug therapy and thus, reliable methods are needed to test this complex and polymorphic gene locus. A particular challenge arises from the detection and interpretation of structural variants (SVs) including gene deletions, duplications, and hybrids with the pseudogene. This study validated the Absolute Q platform for digital PCR-based copy number variation (CNV) determination by comparing results to those obtained with a previously established method using the QX200 platform. In addition, protocols for streamlining CNV testing were established and validated including the "One-pot" single-step restriction enzyme digestion and a multiplex assay simultaneously targeting the 5'UTR, intron 6, and exon 9 regions.
Methods: Genomic DNA (gDNA) samples from Coriell (n = 13) and from blood, saliva, and liver tissue (n = 17) representing 0-6 copies were tested on the Absolute Q and QX200 platforms. Custom TaqMan™ copy number (CN) assays targeting the 5'UTR, intron 6, and exon 9 regions and a reference gene assay ( or RNaseP) were combined for multiplexing by optical channel. In addition, two digestion methods (One-pot digestion and traditional) were assessed. Inconclusive CN values on the Absolute Q were resolved using an alternate reference gene and/or diluting gDNA.
Results: Overall, results between the two platforms and digestions methods were consistent. The "One-pot" digestion method and optically multiplexing up to three regions yielded consistent result across DNA sample types and diverse SVs, reliably detecting up to 6 gene copies. Rare variation in reference genes were found to interfere with results and interpretation, which were resolved by using a different reference.
Conclusion: The Absolute Q produced accurate and reliable copy number results allowing for a streamlined and economical protocol using One-pot digestion and multiplexing three target regions. Protocols are currently being expanded to other pharmacogenes presenting with SVs/CNVs.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11349684 | PMC |
http://dx.doi.org/10.3389/fphar.2024.1429286 | DOI Listing |
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