omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
omation mbers - Society for Laboratory Automation and Screening
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2:30 pm Thursday, February 5 Clinical – Pharmacogenomics Room C1<br />
Stan Lilleberg<br />
Transgenomic, Inc.<br />
11 Firstfield Road, Suite E<br />
Gaithersburg, Maryl<strong>and</strong> 20878<br />
slilleberg@transgenomic.com<br />
In-depth Genetic Variation <strong>Screening</strong> Using DHPLC: A Valuble Component of the Drug<br />
Development Process<br />
The genomics revolution has <strong>for</strong>ever altered the l<strong>and</strong>scape of pharmaceutical research <strong>and</strong> development. In<br />
addition to the discovery of new potential drug targets, the number of mutations <strong>and</strong> polymorphisms identified<br />
within individual genes is escalating. Since the biological impact of each individual genetic variation depends<br />
on its location <strong>and</strong> specific sequence alteration, there will be a constant requirement <strong>for</strong> sensitive <strong>and</strong> accurate<br />
methods to scan genes of interest <strong>for</strong> new, <strong>and</strong> often low-level, genetic variation. Denaturing high per<strong>for</strong>mance<br />
liquid chromatography (DHPLC) is a new technology used in the discovery of genetic variations in the <strong>for</strong>m of<br />
mutations that include single base substitutions or single nucleotide polymorphisms (SNPs), as well as small<br />
deletions or insertions. These genetic variations can be routinely detected by DHPLC gene scanning at the germline<br />
<strong>and</strong> somatic levels. Epigenetic alterations such as changes in DNA methylation status at defined loci can also<br />
be assessed using DHPLC-based methodology. The biological impact of these genetic variations depends on the<br />
location <strong>and</strong> identity of the DNA sequence alteration. The discovery of functionally relevant genetic variations can<br />
be exploited throughout the drug discovery <strong>and</strong> development process. Examples of the application of DHPLC <strong>for</strong><br />
sequence variant detection will be presented <strong>and</strong> discussed, with an emphasis on target validation by c<strong>and</strong>idate<br />
gene scanning, mutation detection in disease pathway genes, <strong>and</strong> the discovery of therapeutically significant<br />
genetic variants associated with drug metabolism <strong>and</strong> resistance. In-depth genetic variation screening using<br />
DHPLC technology has accelerated the discovery of novel variants in a multitude of genes, contributing to the<br />
underst<strong>and</strong>ing of disease pathogenesis <strong>and</strong> future directions of drug development.<br />
3:00 pm Thursday, February 5 Clinical – Pharmacogenomics Room C1<br />
Elvan Laleli-Sahin<br />
Medical College of Wisconsin-Milwaukee<br />
Pathology Department<br />
8701 Watertown Plank Road<br />
Milwaukee, Wisconsin 53226<br />
elvan@mcw.edu<br />
121<br />
Co-Author(s)<br />
Paul Jannetto,<br />
Steven H. Wong<br />
Utilization of Pharmacogenomics in Patient Care <strong>for</strong> Pain Management Clinics <strong>and</strong> Poison<br />
Control Centers<br />
One direct application of the genetic in<strong>for</strong>mation generated with in the last decade has been pharmacogenetics;<br />
science of explaining genetic based pharmacokinetic <strong>and</strong> pharmocodynamic variability among individuals. Use<br />
of pharmacogenetics <strong>for</strong> evaluating why certain therapies fail will be a direct <strong>and</strong> rapid clinical application. The<br />
enzyme family (cytochrome P450 – CYP) responsible <strong>for</strong> the first phase metabolism of a <strong>for</strong>eign compound, shows<br />
polymorphisms that correlate with an individual’s phenotype in response to a given drug. The phenotype can<br />
vary from no response to therapy to severe adverse drug reactions <strong>and</strong> even death due to over dose. CYP 2D6,<br />
is the enzyme responsible <strong>for</strong> metabolism of almost one quarter of prescription drugs, including analgesics. Pain<br />
management of chronic pain patients varies due to the subjective nature of pain along with the genetic variability of<br />
drug metabolizing enzymes, especially CYP 2D6. Single nucleotide polymorphisms (SNP’s) <strong>and</strong> deletion mutations<br />
within this gene have been shown to correspond with poor metabolizer phenotype. Pharmacogenetics possesses<br />
the potential to aid in efficient therapy <strong>for</strong> chronic pain patients that are proven to be difficult to manage cases. Our<br />
ongoing studies have identified 25% prevalence <strong>for</strong> intermediate metabolizers. In addition there is good correlation<br />
of genotype <strong>and</strong> response to therapy. Extensive metabolizer individuals showed no adverse reactions while an<br />
intermediate metabolizer, with normal kidney <strong>and</strong> liver functions, showed adverse side-effects to tramadol therapy.<br />
PODIUM ABSTRACTS