Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Genotypic and phenotypic landscapes of 51 pharmacogenes derived from whole-genome sequencing in a Thai population.

Tytuł:
Genotypic and phenotypic landscapes of 51 pharmacogenes derived from whole-genome sequencing in a Thai population.
Autorzy:
Wankaew N; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.
Chariyavilaskul P; Clinical Pharmacokinetics and Pharmacogenomics Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chamnanphon M; Clinical Pharmacokinetics and Pharmacogenomics Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Department of Pathology, Faculty of Medicine, Srinakharinwirot University, Nakornnayok, Thailand.
Assawapitaksakul A; Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand.
Chetruengchai W; Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand.
Pongpanich M; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Age-related Inflammation and Degeneration Research Unit, Chulalongkorn University, Bangkok, Thailand.
Shotelersuk V; Center of Excellence for Medical Genomics, Medical Genomics Cluster, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Excellence Center for Genomics and Precision Medicine, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand.
Źródło:
PloS one [PLoS One] 2022 Feb 17; Vol. 17 (2), pp. e0263621. Date of Electronic Publication: 2022 Feb 17 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
MeSH Terms:
Genetic Association Studies*
Genetic Markers*
Polymorphism, Single Nucleotide*
Asian People/*genetics
High-Throughput Nucleotide Sequencing/*methods
Pharmacogenetics/*methods
Whole Genome Sequencing/*methods
Female ; Gene Frequency ; Healthy Volunteers ; Humans ; Male ; Thailand
References:
Nat Commun. 2018 Feb 26;9(1):828. (PMID: 29483503)
Drug Metab Rev. 2006;38(3):451-76. (PMID: 16877261)
Br J Cancer. 2011 Feb 15;104(4):605-12. (PMID: 21326246)
Clin Pharmacol Ther. 1999 Nov;66(5):528-34. (PMID: 10579481)
Clin Pharmacol Ther. 2014 Aug;96(2):169-74. (PMID: 24787449)
Clin Pharmacol Ther. 2010 Jan;87(1):100-8. (PMID: 19890249)
Cancer Sci. 2008 May;99(5):1049-54. (PMID: 18380793)
Clin Genet. 2021 Dec;100(6):703-712. (PMID: 34496037)
Biopharm Drug Dispos. 2013 Jan;34(1):45-78. (PMID: 23115084)
EXCLI J. 2017 Mar 06;16:174-196. (PMID: 28507465)
Int J Biomed Investig. 2018;1(2):. (PMID: 32467882)
Bioinformatics. 2009 Jul 15;25(14):1754-60. (PMID: 19451168)
J Hum Genet. 2008;53(10):899-904. (PMID: 18641915)
Eur J Clin Pharmacol. 2018 Aug;74(8):1021-1028. (PMID: 29748863)
Am J Hum Genet. 2007 Nov;81(5):1084-97. (PMID: 17924348)
Pharmacogenetics. 2001 Feb;11(1):57-68. (PMID: 11207031)
Hum Mol Genet. 2007 Mar 1;16(5):463-70. (PMID: 17189289)
Drug Metab Pharmacokinet. 2006 Dec;21(6):475-84. (PMID: 17220563)
Eur J Clin Pharmacol. 2013 Apr;69(4):807-12. (PMID: 23097010)
Drug Metab Pharmacokinet. 2004 Apr;19(2):114-9. (PMID: 15499177)
Am J Hum Genet. 2018 Sep 6;103(3):338-348. (PMID: 30100085)
Yonsei Med J. 2014 Jan;55(1):232-9. (PMID: 24339312)
Exp Gerontol. 2008 Dec;43(12):1102-7. (PMID: 18790042)
Jpn J Clin Oncol. 2008 Sep;38(9):634-40. (PMID: 18713828)
Clin Pharmacol Ther. 2019 Dec;106(6):1328-1337. (PMID: 31206625)
Clin Pharmacol Ther. 2015 Jul;98(1):19-24. (PMID: 25801146)
Drug Metab Pharmacokinet. 2013;28(3):196-202. (PMID: 23007012)
J Hum Genet. 1999;44(1):22-5. (PMID: 9929972)
Genes (Basel). 2020 Feb 28;11(3):. (PMID: 32121156)
Behav Brain Res. 2001 Nov 1;125(1-2):279-84. (PMID: 11682119)
Sci Rep. 2020 Nov 3;10(1):18969. (PMID: 33144648)
Clin Pharmacol Ther. 2008 Feb;83(2):251-7. (PMID: 17568401)
Int J Clin Oncol. 2009 Apr;14(2):136-42. (PMID: 19390945)
Nat Genet. 2011 May;43(5):491-8. (PMID: 21478889)
Pharmacol Rev. 2011 Mar;63(1):157-81. (PMID: 21245207)
Expert Opin Drug Metab Toxicol. 2014 Nov;10(11):1569-83. (PMID: 25316321)
Pharmacogenet Genomics. 2009 Jun;19(6):404-6. (PMID: 19451861)
Hum Exp Toxicol. 2020 Jun;39(6):785-796. (PMID: 32054340)
Clin Pharmacol Ther. 2015 Aug;98(2):127-34. (PMID: 25974703)
Arthritis Res Ther. 2007;9(2):R23. (PMID: 17335581)
Eur J Clin Pharmacol. 2011 Oct;67(10):1017-25. (PMID: 21494765)
Mutat Res. 2007 Apr 1;617(1-2):79-89. (PMID: 17327131)
Clin Pharmacol Ther. 2006 Sep;80(3):282-97. (PMID: 16952495)
Clin Pharmacol Ther. 2014 Oct;96(4):423-8. (PMID: 24918167)
Pharmacogenet Genomics. 2006 May;16(5):321-9. (PMID: 16609363)
Genet Med. 2019 Feb;21(2):361-372. (PMID: 29875422)
Sci Rep. 2020 Feb 27;10(1):3658. (PMID: 32107440)
Eur J Clin Pharmacol. 2019 Nov;75(11):1533-1540. (PMID: 31401678)
PLoS Med. 2007 Mar;4(3):e66. (PMID: 17355169)
Transplantation. 2003 Oct 27;76(8):1233-5. (PMID: 14578760)
Int J Hematol. 1999 Dec;70(4):233-5. (PMID: 10643148)
Hematology. 2015 Apr;20(3):137-42. (PMID: 25056761)
Biochim Biophys Acta. 1998 Apr 28;1406(3):267-73. (PMID: 9630669)
Mol Genet Genomic Med. 2014 May;2(3):210-6. (PMID: 24936510)
Nature. 2004 Dec 23;432(7020):988-94. (PMID: 15616553)
Cancer Sci. 2007 Sep;98(9):1461-7. (PMID: 17627617)
Int J Cancer. 2010 Dec 15;127(12):2815-21. (PMID: 21351260)
Curr Protoc Bioinformatics. 2013;43:11.10.1-11.10.33. (PMID: 25431634)
J Clin Pharmacol. 2003 Sep;43(9):943-67. (PMID: 12971027)
J Steroid Biochem Mol Biol. 2017 Nov;174:169-175. (PMID: 28867356)
Clin Pharmacol Ther. 2019 Jul;106(1):94-102. (PMID: 30801677)
Br J Clin Pharmacol. 2002 Nov;54(5):511-7. (PMID: 12445030)
NPJ Genom Med. 2016 Jan 13;1:15007. (PMID: 29263805)
Aliment Pharmacol Ther. 2000 Nov;14(11):1495-502. (PMID: 11069321)
Clin Pharmacol Ther. 2019 Aug;106(2):338-349. (PMID: 31038731)
Am J Med Genet C Semin Med Genet. 2019 Jun;181(2):245-253. (PMID: 30888117)
Clin Pharmacol Ther. 2006 Mar;79(3):186-96. (PMID: 16513443)
Pharmacogenet Genomics. 2018 Jul;28(7):167-176. (PMID: 29781872)
Clin Pharmacol Ther. 2021 Sep;110(3):741-749. (PMID: 33492672)
World J Gastroenterol. 2005 Jun 7;11(21):3250-4. (PMID: 15929176)
J Clin Pharmacol. 2009 Nov;49(11):1309-17. (PMID: 19776292)
Clin Pharmacol Ther. 2017 Oct;102(4):688-700. (PMID: 28378927)
Mol Med Rep. 2012 Jul;6(1):75-82. (PMID: 22562052)
Front Pharmacol. 2018 Apr 05;9:305. (PMID: 29674966)
Substance Nomenclature:
0 (Genetic Markers)
Entry Date(s):
Date Created: 20220217 Date Completed: 20220228 Latest Revision: 20221207
Update Code:
20240105
PubMed Central ID:
PMC8853512
DOI:
10.1371/journal.pone.0263621
PMID:
35176049
Czasopismo naukowe
Differences in drug responses in individuals are partly due to genetic variations in pharmacogenes, which differ among populations. Here, genome sequencing of 171 unrelated Thai individuals from all regions of Thailand was used to call star alleles of 51 pharmacogenes by Stargazer, determine allele and genotype frequencies, predict phenotype and compare high-impact variant frequencies between Thai and other populations. Three control genes, EGFR, VDR, and RYR1, were used, giving consistent results. Every individual had at least three genes with variant or altered phenotype. Forty of the 51 pharmacogenes had at least one individual with variant or altered phenotype. Moreover, thirteen genes had at least 25% of individuals with variant or altered phenotype including SLCO1B3 (97.08%), CYP3A5 (88.3%), CYP2C19 (60.82%), CYP2A6 (60.2%), SULT1A1 (56.14%), G6PD (54.39%), CYP4B1 (50.00%), CYP2D6 (48.65%), CYP2F1 (46.41%), NAT2 (40.35%), SLCO2B1 (28.95%), UGT1A1 (28.07%), and SLCO1B1 (26.79%). Allele frequencies of high impact variants from our samples were most similar to East Asian. Remarkably, we identified twenty predicted high impact variants which have not previously been reported. Our results provide information that contributes to the implementation of pharmacogenetic testing in Thailand and other Southeast Asian countries, bringing a step closer to personalized medicine.
Competing Interests: The authors have declared that no competing interests exist.
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies