Laith N Al-Eitan1,2, Doaa M Rababa'h1, Nancy M Hakooz3, Mansour A Alghamdi4,5, Rana B Dajani6,7,8. 1. Department of Applied Biological Sciences, Jordan University of Science and Technology, Irbid, Jordan. 2. Department of Biotechnology and Genetic Engineering, Jordan University of Science and Technology, Irbid, Jordan. 3. Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, Amman, Jordan. 4. Department of Anatomy, College of Medicine, King Khalid University, Abha, Saudi Arabia. 5. Genomics and Personalized Medicine Unit, College of Medicine, King Khalid University, Abha, Saudi Arabia. 6. Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan. 7. Radcliffe Institute for Advanced Studies, Harvard University, Cambridge, MA, USA. 8. Jepson School of Leadership, Richmond University, Richmond, VA, USA.
Abstract
BACKGROUND: Profiling rare variants in isolated populations can significantly clarify and understand the development of a clinically relevant process. Therefore, leading to a better identifying novel targeted treatment. OBJECTIVE: This study aimed to determine the allele frequencies of 56 single nucleotide polymorphisms (SNPs) within several important pharmacogenes. METHODS: This study consisted of 166 unrelated subjects from a genetically isolated group (Chechen) who were living in Jordan. In this study, the distribution of the variants among Chechen was compared to other ethnic groups available at two databases (Genome 1000 and (ExAC)). The frequency of genotypes and alleles was calculated and tested using the chi-square test and the Hardy-Weinberg equilibrium equation (HWE). RESULTS: Our results revealed that the distribution of allele frequencies within different pharmacogenes among Chechen showed different similarities with other populations. The CEU and TSI showed the highest resemblance with the Chechen population (75% similarity), in contrast to LWK which had the lowest similarity (30%). CONCLUSION: This study sheds light on clinically relevant SNPs to enhance medical research and apply pharmacogenomics in clinical settings.
BACKGROUND: Profiling rare variants in isolated populations can significantly clarify and understand the development of a clinically relevant process. Therefore, leading to a better identifying novel targeted treatment. OBJECTIVE: This study aimed to determine the allele frequencies of 56 single nucleotide polymorphisms (SNPs) within several important pharmacogenes. METHODS: This study consisted of 166 unrelated subjects from a genetically isolated group (Chechen) who were living in Jordan. In this study, the distribution of the variants among Chechen was compared to other ethnic groups available at two databases (Genome 1000 and (ExAC)). The frequency of genotypes and alleles was calculated and tested using the chi-square test and the Hardy-Weinberg equilibrium equation (HWE). RESULTS: Our results revealed that the distribution of allele frequencies within different pharmacogenes among Chechen showed different similarities with other populations. The CEU and TSI showed the highest resemblance with the Chechen population (75% similarity), in contrast to LWK which had the lowest similarity (30%). CONCLUSION: This study sheds light on clinically relevant SNPs to enhance medical research and apply pharmacogenomics in clinical settings.
Authors: Laith N Al-Eitan; Namarg N Mohammad; Haneen W Al-Maqableh; Nancy M Hakooz; Rana B Dajani Journal: Curr Drug Metab Date: 2019 Impact factor: 3.731
Authors: Werner Schroth; Lydia Antoniadou; Peter Fritz; Matthias Schwab; Thomas Muerdter; Ulrich M Zanger; Wolfgang Simon; Michel Eichelbaum; Hiltrud Brauch Journal: J Clin Oncol Date: 2007-11-20 Impact factor: 44.544