Valutazione dell'impatto della farmacogenetica in ambito di Sanità Pubblica. Analisi del polimorfismo genetico dell'enzima CYP2D6 metabolizzante xenobiotici.

• Main Author: Riccardi, Laura Natalia <1982>
• Other Authors: Pelotti, Susi
• Format: Doctoral Thesis
• Language: it
• Published: Alma Mater Studiorum - Università di Bologna 2011
• Subjects: MED/43 Medicina legale
• Online Access: http://amsdottorato.unibo.it/3479/

Pharmacogenetic testing provides an outstanding opportunity to improve prescribing safety and efficacy. In Public health policy pharmacogenetics is relevant for personalized therapy and to maximize therapeutic benefit minimizing adverse events. CYP2D6 is known to be a key enzyme responsible for the biotransformation of about 25-30% of extensively used drugs and genetic variations in genes coding for drug-metabolizing enzymes might lead to adverse drug reactions, toxicity or therapeutic failure of pharmacotherapy. Significant interethnic differences in CYP2D6 allele distribution are well established, but immigration is reshaping the genetic background due to interethnic admixture which introduces variations in individual ancestry resulting in distinct level of population structure. The present thesis deals with the genetic determination of the CYP2D6 alleles actually present in the Emilia-Romagna resident population providing insights into the admixture process. A random sample of 122 natives and 175 immigrants from Africa, Asia and South America where characterized considering the present scenario of migration and back migration events. The results are consistent with the known interethnic genetic variation, but introduction of ethnic specific variants by immigrants predicts a heterogeneous admixed population scenario requiring, for drugs prescription and pharmacogenetics studies, an interdisciplinary approach applied in a properly biogeographical and anthropological frame. To translate pharmacogenetics knowledge into clinical practice requires appropriated public health policies, possibly guiding clinicians to evaluate prospectively which patients have the greatest probability of expressing a variant genotype.