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Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
by
Ben Halima, Yosra
, Hechmi, Meriem
, Chouchane, Lotfi
, Romdhane, Lilia
, Naouali, Chokri
, Luiselli, Donata
, Hamdi, Yosr
, Kefi, Rym
, Trabelsi, Sameh
, Shan, Jingxuan
, Jamoussi, Henda
, Jmel, Haifa
, Abdelhak, Sonia
, Dallali, Hamza
, Abid, Abdelmajid
in
Analysis
/ Anticoagulants
/ Biology and Life Sciences
/ Biomarkers
/ Cardiovascular disease
/ Clinical trials
/ CYP3A protein
/ Cytochrome
/ Data processing
/ Diabetes
/ Divergence
/ Drug development
/ Drug therapy
/ Enzymes
/ Food science
/ Genes
/ Genetic aspects
/ Genetic diversity
/ Genetic research
/ Genetic variability
/ Genetic variation
/ Genetics
/ Genomics
/ Genotyping
/ Health aspects
/ Hypertension
/ Hypoglycemic agents
/ Immunology
/ Laboratories
/ Life Sciences
/ Medicine
/ Medicine and Health Sciences
/ Metabolic disorders
/ Metabolic syndrome
/ Metabolic syndrome X
/ Minority & ethnic groups
/ Multiculturalism & pluralism
/ Nutrition
/ People and Places
/ Pharmacogenomics
/ Pharmacokinetics
/ Pharmacological research
/ Pharmacology
/ Population
/ Population genetics
/ Population studies
/ Populations
/ Research and Analysis Methods
/ Side effects
/ Software packages
/ Variability
/ Vasoactive intestinal peptide
2018
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Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
by
Ben Halima, Yosra
, Hechmi, Meriem
, Chouchane, Lotfi
, Romdhane, Lilia
, Naouali, Chokri
, Luiselli, Donata
, Hamdi, Yosr
, Kefi, Rym
, Trabelsi, Sameh
, Shan, Jingxuan
, Jamoussi, Henda
, Jmel, Haifa
, Abdelhak, Sonia
, Dallali, Hamza
, Abid, Abdelmajid
in
Analysis
/ Anticoagulants
/ Biology and Life Sciences
/ Biomarkers
/ Cardiovascular disease
/ Clinical trials
/ CYP3A protein
/ Cytochrome
/ Data processing
/ Diabetes
/ Divergence
/ Drug development
/ Drug therapy
/ Enzymes
/ Food science
/ Genes
/ Genetic aspects
/ Genetic diversity
/ Genetic research
/ Genetic variability
/ Genetic variation
/ Genetics
/ Genomics
/ Genotyping
/ Health aspects
/ Hypertension
/ Hypoglycemic agents
/ Immunology
/ Laboratories
/ Life Sciences
/ Medicine
/ Medicine and Health Sciences
/ Metabolic disorders
/ Metabolic syndrome
/ Metabolic syndrome X
/ Minority & ethnic groups
/ Multiculturalism & pluralism
/ Nutrition
/ People and Places
/ Pharmacogenomics
/ Pharmacokinetics
/ Pharmacological research
/ Pharmacology
/ Population
/ Population genetics
/ Population studies
/ Populations
/ Research and Analysis Methods
/ Side effects
/ Software packages
/ Variability
/ Vasoactive intestinal peptide
2018
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Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
by
Ben Halima, Yosra
, Hechmi, Meriem
, Chouchane, Lotfi
, Romdhane, Lilia
, Naouali, Chokri
, Luiselli, Donata
, Hamdi, Yosr
, Kefi, Rym
, Trabelsi, Sameh
, Shan, Jingxuan
, Jamoussi, Henda
, Jmel, Haifa
, Abdelhak, Sonia
, Dallali, Hamza
, Abid, Abdelmajid
in
Analysis
/ Anticoagulants
/ Biology and Life Sciences
/ Biomarkers
/ Cardiovascular disease
/ Clinical trials
/ CYP3A protein
/ Cytochrome
/ Data processing
/ Diabetes
/ Divergence
/ Drug development
/ Drug therapy
/ Enzymes
/ Food science
/ Genes
/ Genetic aspects
/ Genetic diversity
/ Genetic research
/ Genetic variability
/ Genetic variation
/ Genetics
/ Genomics
/ Genotyping
/ Health aspects
/ Hypertension
/ Hypoglycemic agents
/ Immunology
/ Laboratories
/ Life Sciences
/ Medicine
/ Medicine and Health Sciences
/ Metabolic disorders
/ Metabolic syndrome
/ Metabolic syndrome X
/ Minority & ethnic groups
/ Multiculturalism & pluralism
/ Nutrition
/ People and Places
/ Pharmacogenomics
/ Pharmacokinetics
/ Pharmacological research
/ Pharmacology
/ Population
/ Population genetics
/ Population studies
/ Populations
/ Research and Analysis Methods
/ Side effects
/ Software packages
/ Variability
/ Vasoactive intestinal peptide
2018
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Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
Journal Article
Pharmacogenetic landscape of Metabolic Syndrome components drug response in Tunisia and comparison with worldwide populations
2018
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Overview
Genetic variation is an important determinant affecting either drug response or susceptibility to adverse drug reactions. Several studies have highlighted the importance of ethnicity in influencing drug response variability that should be considered during drug development. Our objective is to characterize the genetic variability of some pharmacogenes involved in the response to drugs used for the treatment of Metabolic Syndrome (MetS) in Tunisia and to compare our results to the worldwide populations. A set of 135 Tunisians was genotyped using the Affymetrix Chip 6.0 genotyping array. Variants located in 24 Very Important Pharmacogenes (VIP) involved in MetS drug response were extracted from the genotyping data. Analysis of variant distribution in Tunisian population compared to 20 worldwide populations publicly available was performed using R software packages. Common variants between Tunisians and the 20 investigated populations were extracted from genotyping data. Multidimensional screening showed that Tunisian population is clustered with North African and European populations. The greatest divergence was observed with the African and Asian population. In addition, we performed Inter-ethnic comparison based on the genotype frequencies of five VIP biomarkers. The genotype frequencies of the biomarkers rs3846662, rs1045642, rs7294 and rs12255372 located respectively in HMGCR, ABCB1, VKORC1 and TCF7L2 are similar between Tunisian, Tuscan (TSI) and European (CEU). The genotype frequency of the variant rs776746 located in CYP3A5 gene is similar between Tunisian and African populations and different from CEU and TSI. The present study shows that the genetic make up of the Tunisian population is relatively complex in regard to pharmacogenes and reflects previous historical events. It is important to consider this ethnic difference in drug prescription in order to optimize drug response to avoid serious adverse drug reactions. Taking into account similarities with other neighboring populations, our study has an impact not only on the Tunisian population but also on North African population which are underrepresented in pharmacogenomic studies.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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