Literature DB >> 29970487

Comprehensive overview of the pharmacogenetic diversity in Ashkenazi Jews.

Yitian Zhou1, Volker M Lauschke1.   

Abstract

BACKGROUND: Adverse drug reactions are a major concern in drug development and clinical therapy. Genetic polymorphisms in genes involved in drug metabolism and transport are major determinants of treatment efficacy and adverse reactions, and constitute important biomarkers for drug dosing, efficacy and safety. Importantly, human populations and subgroups differ substantially in their pharmacogenetic variability profiles, with important consequences for personalised medicine strategies and precision public health approaches. Despite their long migration history, Ashkenazi Jews constitute a rather isolated population with a unique genetic signature that is distinctly different from other populations.
OBJECTIVE: To provide a comprehensive overview of the pharmacogenetic profile in Ashkenazim.
METHODS: We analysed next-generation sequencing data from 5076 Ashkenazim individuals and used sequence data from 117 425 non-Jewish individuals as reference.
RESULTS: We derived frequencies of 164 alleles in 17 clinically relevant pharmacogenes and derived profiles of putative functional consequences, providing the most comprehensive data set of Jewish pharmacogenetic diversity published to date. Furthermore, we detected 127 variants with an aggregated frequency of 20.7% that were specifically found in Ashkenazim, of which 55 variants were putatively deleterious (aggregated frequency of 9.4%).
CONCLUSION: The revealed pattern of pharmacogenetic variability in Ashkenazi Jews is distinctly different from other populations and is expected to translate into unique functional consequences, especially for the metabolism of CYP2A6, CYP2C9, NAT2 and VKORC1 substrates. We anticipate that the presented data will serve as a powerful resource for the guidance of pharmacogenetic treatment decisions and the optimisation of population-specific genotyping strategies in the Ashkenazi diaspora. © Author(s) (or their employer(s)) 2018. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  allele frequency; cyp haplotypes; genetic variability; personalized medicine; pharmacogenetics

Mesh:

Substances:

Year:  2018        PMID: 29970487     DOI: 10.1136/jmedgenet-2018-105429

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  8 in total

Review 1.  Novel genetic and epigenetic factors of importance for inter-individual differences in drug disposition, response and toxicity.

Authors:  Volker M Lauschke; Yitian Zhou; Magnus Ingelman-Sundberg
Journal:  Pharmacol Ther       Date:  2019-01-22       Impact factor: 12.310

2.  Pharmacogenomics of Alzheimer's Disease: Novel Strategies for Drug Utilization and Development.

Authors:  Ramón Cacabelos; Vinogran Naidoo; Olaia Martínez-Iglesias; Lola Corzo; Natalia Cacabelos; Rocío Pego; Juan C Carril
Journal:  Methods Mol Biol       Date:  2022

3.  Identification of pharmacogenetic variants from large scale next generation sequencing data in the Saudi population.

Authors:  Ewa Goljan; Mohammed Abouelhoda; Mohamed M ElKalioby; Amjad Jabaan; Nada Alghithi; Brian F Meyer; Dorota Monies
Journal:  PLoS One       Date:  2022-01-28       Impact factor: 3.240

4.  Genetic Polymorphism of Drug Metabolic Gene CYPs, VKORC1, NAT2, DPYD and CHST3 of Five Ethnic Minorities in Heilongjiang Province, Northeast China.

Authors:  Tingting Zhang; Qiuyan Li; Bonan Dong; Xiao Liang; Mansha Jia; Jing Bai; Jingcui Yu; Songbin Fu
Journal:  Pharmgenomics Pers Med       Date:  2021-11-30

Review 5.  Population pharmacogenomics: an update on ethnogeographic differences and opportunities for precision public health.

Authors:  Yitian Zhou; Volker M Lauschke
Journal:  Hum Genet       Date:  2021-10-15       Impact factor: 5.881

6.  Ethnogeographic and inter-individual variability of human ABC transporters.

Authors:  Qingyang Xiao; Yitian Zhou; Volker M Lauschke
Journal:  Hum Genet       Date:  2020-03-23       Impact factor: 4.132

7.  Pharmacogenomic network analysis of the gene-drug interaction landscape underlying drug disposition.

Authors:  Yitian Zhou; Volker M Lauschke
Journal:  Comput Struct Biotechnol J       Date:  2019-12-05       Impact factor: 7.271

8.  Population-scale predictions of DPD and TPMT phenotypes using a quantitative pharmacogene-specific ensemble classifier.

Authors:  Yitian Zhou; Carolina Dagli Hernandez; Volker M Lauschke
Journal:  Br J Cancer       Date:  2020-09-25       Impact factor: 7.640

  8 in total

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