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Pharmacogenomics variants are associated with BMI differences between individuals with bipolar and other psychiatric disorders.

Pharmacogenomics

Charalampidi A, Kordou Z, Tsermpini EE, Bosganas P, Chantratita W, Fukunaga K, Mushiroda T, Patrinos GP, Koromina M.
PMID: 34410167
Pharmacogenomics. 2021 Aug;22(12):749-760. doi: 10.2217/pgs-2021-0012. Epub 2021 Aug 19.

No abstract available.

Cite
Charalampidi A, Kordou Z, Tsermpini EE, et al. Pharmacogenomics variants are associated with BMI differences between individuals with bipolar and other psychiatric disorders. Pharmacogenomics. 2021;22(12):749-760doi: 10.2217/pgs-2021-0012.
Charalampidi, A., Kordou, Z., Tsermpini, E. E., Bosganas, P., Chantratita, W., Fukunaga, K., Mushiroda, T., Patrinos, G. P., & Koromina, M. (2021). Pharmacogenomics variants are associated with BMI differences between individuals with bipolar and other psychiatric disorders. Pharmacogenomics, 22(12), 749-760. https://doi.org/10.2217/pgs-2021-0012
Charalampidi, Aggeliki, et al. "Pharmacogenomics variants are associated with BMI differences between individuals with bipolar and other psychiatric disorders." Pharmacogenomics vol. 22,12 (2021): 749-760. doi: https://doi.org/10.2217/pgs-2021-0012
Charalampidi A, Kordou Z, Tsermpini EE, Bosganas P, Chantratita W, Fukunaga K, Mushiroda T, Patrinos GP, Koromina M. Pharmacogenomics variants are associated with BMI differences between individuals with bipolar and other psychiatric disorders. Pharmacogenomics. 2021 Aug;22(12):749-760. doi: 10.2217/pgs-2021-0012. Epub 2021 Aug 19. PMID: 34410167.
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Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data.

Pharmacological research

Kordou Z, Skokou M, Tsermpini EE, Chantratita W, Fukunaga K, Mushiroda T, Patrinos GP, Koromina M.
PMID: 33705851
Pharmacol Res. 2021 May;167:105538. doi: 10.1016/j.phrs.2021.105538. Epub 2021 Mar 09.

Undoubtedly, pharmacogenomics (PGx) aims in optimizing drug treatment responses whilst also improving the patients' quality of life, either via a reduction of adverse drug reactions and/or an enhancement of drug treatment efficacy. To achieve this, PGx guidance is provided...

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Kordou Z, Skokou M, Tsermpini EE, et al. Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data. Pharmacol Res. 2021;167:105538doi: 10.1016/j.phrs.2021.105538.
Kordou, Z., Skokou, M., Tsermpini, E. E., Chantratita, W., Fukunaga, K., Mushiroda, T., Patrinos, G. P., & Koromina, M. (2021). Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data. Pharmacological research, 167105538. https://doi.org/10.1016/j.phrs.2021.105538
Kordou, Zoe, et al. "Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data." Pharmacological research vol. 167 (2021): 105538. doi: https://doi.org/10.1016/j.phrs.2021.105538
Kordou Z, Skokou M, Tsermpini EE, Chantratita W, Fukunaga K, Mushiroda T, Patrinos GP, Koromina M. Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data. Pharmacol Res. 2021 May;167:105538. doi: 10.1016/j.phrs.2021.105538. Epub 2021 Mar 09. PMID: 33705851.
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Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow.

Frontiers in pharmacology

Giannopoulou E, Katsila T, Mitropoulou C, Tsermpini EE, Patrinos GP.
PMID: 31024324
Front Pharmacol. 2019 Apr 05;10:384. doi: 10.3389/fphar.2019.00384. eCollection 2019.

Pharmacogenomics has been recognized as a fundamental tool in the era of personalized medicine with up to 266 drug labels, approved by major regulatory bodies, currently containing pharmacogenomics information. Next-generation sequencing analysis assumes a critical role in personalized medicine,...

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Giannopoulou E, Katsila T, Mitropoulou C, et al. Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow. Front Pharmacol. 2019;10:384doi: 10.3389/fphar.2019.00384.
Giannopoulou, E., Katsila, T., Mitropoulou, C., Tsermpini, E. E., & Patrinos, G. P. (2019). Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow. Frontiers in pharmacology, 10384. https://doi.org/10.3389/fphar.2019.00384
Giannopoulou, Efstathia, et al. "Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow." Frontiers in pharmacology vol. 10 (2019): 384. doi: https://doi.org/10.3389/fphar.2019.00384
Giannopoulou E, Katsila T, Mitropoulou C, Tsermpini EE, Patrinos GP. Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow. Front Pharmacol. 2019 Apr 05;10:384. doi: 10.3389/fphar.2019.00384. eCollection 2019. PMID: 31024324; PMCID: PMC6460422.
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Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide.

Human genetics

Tsermpini EE, Al-Mahayri ZN, Ali BR, Patrinos GP.
PMID: 34599365
Hum Genet. 2021 Oct 01; doi: 10.1007/s00439-021-02369-x. Epub 2021 Oct 01.

Over the last few years, the field of pharmacogenomics has gained considerable momentum. The advances of new genomics and bioinformatics technologies propelled pharmacogenomics towards its implementation in the clinical setting. Since 2007, and especially the last-5 years, many studies...

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Tsermpini EE, Al-Mahayri ZN, Ali BR, et al. Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide. Hum Genet. 2021;doi: 10.1007/s00439-021-02369-x.
Tsermpini, E. E., Al-Mahayri, Z. N., Ali, B. R., & Patrinos, G. P. (2021). Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide. Human genetics, . https://doi.org/10.1007/s00439-021-02369-x
Tsermpini, Evangelia Eirini, et al. "Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide." Human genetics vol. (2021). doi: https://doi.org/10.1007/s00439-021-02369-x
Tsermpini EE, Al-Mahayri ZN, Ali BR, Patrinos GP. Clinical implementation of drug metabolizing gene-based therapeutic interventions worldwide. Hum Genet. 2021 Oct 01; doi: 10.1007/s00439-021-02369-x. Epub 2021 Oct 01. PMID: 34599365.
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Quality of life in patients with nonalcoholic fatty liver disease: A systematic review.

Journal of psychosomatic research

Assimakopoulos K, Karaivazoglou K, Tsermpini EE, Diamantopoulou G, Triantos C.
PMID: 30097139
J Psychosom Res. 2018 Sep;112:73-80. doi: 10.1016/j.jpsychores.2018.07.004. Epub 2018 Jul 12.

OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent medical condition, which may lead to severe complications including cirrhosis and hepatocellular carcinoma. Its chronic course and its association with obesity and diabetes mellitus augment the long-term impact of...

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Assimakopoulos K, Karaivazoglou K, Tsermpini EE, et al. Quality of life in patients with nonalcoholic fatty liver disease: A systematic review. J Psychosom Res. 2018;112:73-80doi: 10.1016/j.jpsychores.2018.07.004.
Assimakopoulos, K., Karaivazoglou, K., Tsermpini, E. E., Diamantopoulou, G., & Triantos, C. (2018). Quality of life in patients with nonalcoholic fatty liver disease: A systematic review. Journal of psychosomatic research, 11273-80. https://doi.org/10.1016/j.jpsychores.2018.07.004
Assimakopoulos, Konstantinos, et al. "Quality of life in patients with nonalcoholic fatty liver disease: A systematic review." Journal of psychosomatic research vol. 112 (2018): 73-80. doi: https://doi.org/10.1016/j.jpsychores.2018.07.004
Assimakopoulos K, Karaivazoglou K, Tsermpini EE, Diamantopoulou G, Triantos C. Quality of life in patients with nonalcoholic fatty liver disease: A systematic review. J Psychosom Res. 2018 Sep;112:73-80. doi: 10.1016/j.jpsychores.2018.07.004. Epub 2018 Jul 12. PMID: 30097139.
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Genetic Variations Associated with Sleep Disorders in Patients with Schizophrenia: A Systematic Review.

Medicines (Basel, Switzerland)

Assimakopoulos K, Karaivazoglou K, Skokou M, Kalogeropoulou M, Kolios P, Gourzis P, Patrinos GP, Tsermpini EE.
PMID: 29587340
Medicines (Basel). 2018 Mar 24;5(2). doi: 10.3390/medicines5020027.

No abstract available.

Cite
Assimakopoulos K, Karaivazoglou K, Skokou M, et al. Genetic Variations Associated with Sleep Disorders in Patients with Schizophrenia: A Systematic Review. Medicines (Basel). 2018;5(2)doi: 10.3390/medicines5020027.
Assimakopoulos, K., Karaivazoglou, K., Skokou, M., Kalogeropoulou, M., Kolios, P., Gourzis, P., Patrinos, G. P., & Tsermpini, E. E. (2018). Genetic Variations Associated with Sleep Disorders in Patients with Schizophrenia: A Systematic Review. Medicines (Basel, Switzerland), 5(2), . https://doi.org/10.3390/medicines5020027
Assimakopoulos, Konstantinos, et al. "Genetic Variations Associated with Sleep Disorders in Patients with Schizophrenia: A Systematic Review." Medicines (Basel, Switzerland) vol. 5,2 (2018). doi: https://doi.org/10.3390/medicines5020027
Assimakopoulos K, Karaivazoglou K, Skokou M, Kalogeropoulou M, Kolios P, Gourzis P, Patrinos GP, Tsermpini EE. Genetic Variations Associated with Sleep Disorders in Patients with Schizophrenia: A Systematic Review. Medicines (Basel). 2018 Mar 24;5(2). doi: 10.3390/medicines5020027. PMID: 29587340; PMCID: PMC6023503.
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Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics.

Pharmacological research

Siamoglou S, Koromina M, Hishinuma E, Yamazaki S, Tsermpini EE, Kordou Z, Fukunaga K, Chantratita W, Zhou Y, Lauschke V, Mushiroda T, Hiratsuka M, Patrinos GP.
PMID: 35033648
Pharmacol Res. 2022 Jan 13;106087. doi: 10.1016/j.phrs.2022.106087. Epub 2022 Jan 13.

Inter-individual variability in pharmacokinetics and drug response is heavily influenced by single-nucleotide variants (SNVs) and copy-number variations (CNVs) in genes with importance for drug disposition. Nowadays, a plethora of studies implement next generation sequencing to capture rare and novel...

Cite
Siamoglou S, Koromina M, Hishinuma E, et al. Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics. Pharmacol Res. 2022;106087doi: 10.1016/j.phrs.2022.106087.
Siamoglou, S., Koromina, M., Hishinuma, E., Yamazaki, S., Tsermpini, E. E., Kordou, Z., Fukunaga, K., Chantratita, W., Zhou, Y., Lauschke, V., Mushiroda, T., Hiratsuka, M., & Patrinos, G. P. (2022). Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics. Pharmacological research, 106087. https://doi.org/10.1016/j.phrs.2022.106087
Siamoglou, Stavroula, et al. "Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics." Pharmacological research vol. (2022): 106087. doi: https://doi.org/10.1016/j.phrs.2022.106087
Siamoglou S, Koromina M, Hishinuma E, Yamazaki S, Tsermpini EE, Kordou Z, Fukunaga K, Chantratita W, Zhou Y, Lauschke V, Mushiroda T, Hiratsuka M, Patrinos GP. Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics. Pharmacol Res. 2022 Jan 13;106087. doi: 10.1016/j.phrs.2022.106087. Epub 2022 Jan 13. PMID: 35033648.
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Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm).

Human genome variation

Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W.
PMID: 33542200
Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z.

Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing...

Cite
Runcharoen C, Fukunaga K, Sensorn I, et al. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021;8(1):7doi: 10.1038/s41439-021-00135-z.
Runcharoen, C., Fukunaga, K., Sensorn, I., Iemwimangsa, N., Klumsathian, S., Tong, H., Vo, N. S., Le, L., Hlaing, T. M., Thant, M., Zain, S. M., Mohamed, Z., Pung, Y. F., Capule, F., Nevado, J., Silao, C. L., Al-Mahayri, Z. N., Ali, B. R., Yuliwulandari, R., Prayuni, K., Zahroh, H., Noor, D. A. M., Xangsayarath, P., Xayavong, D., Kounnavong, S., Sayasone, S., Kordou, Z., Liopetas, I., Tsikrika, A., Tsermpini, E. E., Koromina, M., Mitropoulou, C., Patrinos, G. P., Kesornsit, A., Charoenyingwattana, A., Wattanapokayakit, S., Mahasirimongkol, S., Mushiroda, T., & Chantratita, W. (2021). Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Human genome variation, 8(1), 7. https://doi.org/10.1038/s41439-021-00135-z
Runcharoen, Chakkaphan, et al. "Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)." Human genome variation vol. 8,1 (2021): 7. doi: https://doi.org/10.1038/s41439-021-00135-z
Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z. PMID: 33542200; PMCID: PMC7862625.
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Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm).

Human genome variation

Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W.
PMID: 33542200
Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z.

Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing...

Cite
Runcharoen C, Fukunaga K, Sensorn I, et al. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021;8(1):7doi: 10.1038/s41439-021-00135-z.
Runcharoen, C., Fukunaga, K., Sensorn, I., Iemwimangsa, N., Klumsathian, S., Tong, H., Vo, N. S., Le, L., Hlaing, T. M., Thant, M., Zain, S. M., Mohamed, Z., Pung, Y. F., Capule, F., Nevado, J., Silao, C. L., Al-Mahayri, Z. N., Ali, B. R., Yuliwulandari, R., Prayuni, K., Zahroh, H., Noor, D. A. M., Xangsayarath, P., Xayavong, D., Kounnavong, S., Sayasone, S., Kordou, Z., Liopetas, I., Tsikrika, A., Tsermpini, E. E., Koromina, M., Mitropoulou, C., Patrinos, G. P., Kesornsit, A., Charoenyingwattana, A., Wattanapokayakit, S., Mahasirimongkol, S., Mushiroda, T., & Chantratita, W. (2021). Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Human genome variation, 8(1), 7. https://doi.org/10.1038/s41439-021-00135-z
Runcharoen, Chakkaphan, et al. "Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)." Human genome variation vol. 8,1 (2021): 7. doi: https://doi.org/10.1038/s41439-021-00135-z
Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z. PMID: 33542200; PMCID: PMC7862625.
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Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm).

Human genome variation

Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W.
PMID: 33542200
Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z.

Pharmacogenomics can enhance the outcome of treatment by adopting pharmacogenomic testing to maximize drug efficacy and lower the risk of serious adverse events. Next-generation sequencing (NGS) is a cost-effective technology for genotyping several pharmacogenomic loci at once, thereby increasing...

Cite
Runcharoen C, Fukunaga K, Sensorn I, et al. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021;8(1):7doi: 10.1038/s41439-021-00135-z.
Runcharoen, C., Fukunaga, K., Sensorn, I., Iemwimangsa, N., Klumsathian, S., Tong, H., Vo, N. S., Le, L., Hlaing, T. M., Thant, M., Zain, S. M., Mohamed, Z., Pung, Y. F., Capule, F., Nevado, J., Silao, C. L., Al-Mahayri, Z. N., Ali, B. R., Yuliwulandari, R., Prayuni, K., Zahroh, H., Noor, D. A. M., Xangsayarath, P., Xayavong, D., Kounnavong, S., Sayasone, S., Kordou, Z., Liopetas, I., Tsikrika, A., Tsermpini, E. E., Koromina, M., Mitropoulou, C., Patrinos, G. P., Kesornsit, A., Charoenyingwattana, A., Wattanapokayakit, S., Mahasirimongkol, S., Mushiroda, T., & Chantratita, W. (2021). Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Human genome variation, 8(1), 7. https://doi.org/10.1038/s41439-021-00135-z
Runcharoen, Chakkaphan, et al. "Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm)." Human genome variation vol. 8,1 (2021): 7. doi: https://doi.org/10.1038/s41439-021-00135-z
Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, Vo NS, Le L, Hlaing TM, Thant M, Zain SM, Mohamed Z, Pung YF, Capule F, Nevado J, Silao CL, Al-Mahayri ZN, Ali BR, Yuliwulandari R, Prayuni K, Zahroh H, Noor DAM, Xangsayarath P, Xayavong D, Kounnavong S, Sayasone S, Kordou Z, Liopetas I, Tsikrika A, Tsermpini EE, Koromina M, Mitropoulou C, Patrinos GP, Kesornsit A, Charoenyingwattana A, Wattanapokayakit S, Mahasirimongkol S, Mushiroda T, Chantratita W. Prevalence of pharmacogenomic variants in 100 pharmacogenes among Southeast Asian populations under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Hum Genome Var. 2021 Feb 04;8(1):7. doi: 10.1038/s41439-021-00135-z. PMID: 33542200; PMCID: PMC7862625.
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