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  1. Siamoglou S, Koromina M, Moy FM, Mitropoulou C, Patrinos GP, Vasileiou K
    OMICS, 2021 01;25(1):52-59.
    PMID: 33170085 DOI: 10.1089/omi.2020.0178
    This study reports on the attitudes and perceptions toward pharmacogenomics (PGx) and personalized medicine (PM) education among pharmacy and medical students in Malaysian health sciences. Importantly, the survey was developed through a codesign approach, with field pretesting/design with users before the actual survey, and based on collaboration between institutions in Greece and Malaysia. The study addressed eight key areas of interest to education in health sciences: (1) General awareness about genetics and PGx, (2) Attitude toward genetic testing usefulness, (3) Benefits of direct-to-consumer personal genome testing as a "diagnostic" tool, (4) Concerns (risks) about genetics, (5) Effectiveness of genetic testing in PM, (6) Benefits of PGx on disease management, (7) Benefits of PGx on drug management, and (8) Attitudes toward genetic testing public endorsement. We observed that Malaysian students appear aware of the term PGx, but there are areas of critical knowledge gap such as the need for greater familiarity with the concept of PGx implementation science, and the availability of genetic testing in clinical practice. This is one of the first studies on perceptions and attitudes toward PGx testing in Southeast Asia. The present findings provide a map of the views and perspectives of medicine and pharmacy students regarding PGx and implementation of PM in Malaysia and should assist toward facilitating the integration of genomics into the medical decision-making process. To this end, it is necessary to enhance collaboration between universities, health care institutions, and governing bodies to incorporate further training and additional education topics related to PGx and genetic testing. This is the first study that assesses the level of PGx and genomics knowledge of pharmacy and medicine students in Southeast Asia, Malaysia in particular, and thus paves the way to guide future global PGx implementation science.
  2. Balasopoulou A, Mooy FM, Baker DJ, Mitropoulou C, Skoufas E, Bulgiba A, et al.
    OMICS, 2017 12;21(12):733-740.
    PMID: 29173101 DOI: 10.1089/omi.2017.0136
    Precision medicine, genomic and diagnostic services are no longer limited to developed countries. This broadening in geography of biomarker applications and omics diagnostics also demands empirical study of implementation, diagnostic testing, and counseling practices in the field. For example, the Malaysian population has large ethnic diversity and high prevalence of genetic disorders such as hemoglobinopathies and metabolic disorders. Increased morbidity and mortality from such diseases have a direct impact on society and health system sustainability and for this, decision-making becomes of outmost importance. We report here on our findings on the landscape of genomic testing and genetic counseling services in Malaysia. We first defined the framework of all Malaysian stakeholders that offer genomics services and next, we identified the related information gaps, as depicted through the service providers' online websites. Our research framework revealed that there is a very diverse spectrum of genomics services in Malaysia, in which wet- and dry-laboratory services integrate. Moreover, we identify the current gaps and possible remedies to improve the quality of genomic and predictive analytics, not to mention considerations to ensure robust ethics and responsible innovation. To our knowledge, this is the first such study to be performed for a Southeast Asian country. Our genomics and precision medicine services mapping strategy presented in this study may serve as a model for field assessment at regional, national, and international levels as precision medicine is expanding globally and new governance challenges and opportunities continue to emerge for smart implementation science.
  3. Snyder SR, Hao J, Cavallari LH, Geng Z, Elsey A, Johnson JA, et al.
    Public Health Genomics, 2018;21(5-6):217-227.
    PMID: 31189173 DOI: 10.1159/000500725
    BACKGROUND/AIMS: Economic evaluation is integral to informed public health decision-making in the rapidly growing field of precision and personalized medicine (PM); however, this research requires specialized expertise and significant resources. Generic models are a novel innovation to efficiently address a critical PM evidence shortage and implementation barrier by enabling use of population-specific input values. This is a generic PM economic evaluation model proof-of-concept study for a pharmacogenomic use case.

    METHODS: An 8-step generic economic model development process was applied to the use case of human leukocyte antigen (HLA)-B*15:02genotyping for prediction of carbamazepine-induced cutaneous reactions, with a user-friendly decision-making tool relying on user-provided input values. This generic model was transparently documented and validated, including cross-validation comparing cost-effectiveness results with 3 country-specific models.

    RESULTS: A generic pharmacogenomic use case cost-effectiveness model with decision-making tool was successfully developed and cross-validated using input values for 6 populations which produced consistent results for HLA-B*15:02 screening at country-specific cost-effectiveness threshold values. Differences between the generic and country-specific model results were largely due to differences in model structure and assumptions.

    CONCLUSION: This proof on concept demonstrates the feasibility of generic models to provide useful PM economic evidence, supporting their use as a pragmatic and timely approach to address a growing need.

  4. Mitropoulos K, Al Jaibeji H, Forero DA, Laissue P, Wonkam A, Lopez-Correa C, et al.
    Hum Genomics, 2015 Jun 18;9:11.
    PMID: 26081768 DOI: 10.1186/s40246-015-0033-3
    In recent years, the translation of genomic discoveries into mainstream medical practice and public health has gained momentum, facilitated by the advent of new technologies. However, there are often major discrepancies in the pace of implementation of genomic medicine between developed and developing/resource-limited countries. The main reason does not only lie in the limitation of resources but also in the slow pace of adoption of the new findings and the poor understanding of the potential that this new discipline offers to rationalize medical diagnosis and treatment. Here, we present and critically discuss examples from the successful implementation of genomic medicine in resource-limited countries, focusing on pharmacogenomics, genome informatics, and public health genomics, emphasizing in the latter case genomic education, stakeholder analysis, and economics in pharmacogenomics. These examples can be considered as model cases and be readily replicated for the wide implementation of pharmacogenomics and genomic medicine in other resource-limited environments.
  5. Liu W, Li Y, Patrinos GP, Xu S, Thong MK, Chen Z, et al.
    Cell Res, 2024 Sep 11.
    PMID: 39261573 DOI: 10.1038/s41422-024-01026-y
  6. Sosnay PR, Siklosi KR, Van Goor F, Kaniecki K, Yu H, Sharma N, et al.
    Nat Genet, 2013 Oct;45(10):1160-7.
    PMID: 23974870 DOI: 10.1038/ng.2745
    Allelic heterogeneity in disease-causing genes presents a substantial challenge to the translation of genomic variation into clinical practice. Few of the almost 2,000 variants in the cystic fibrosis transmembrane conductance regulator gene CFTR have empirical evidence that they cause cystic fibrosis. To address this gap, we collected both genotype and phenotype data for 39,696 individuals with cystic fibrosis in registries and clinics in North America and Europe. In these individuals, 159 CFTR variants had an allele frequency of ł0.01%. These variants were evaluated for both clinical severity and functional consequence, with 127 (80%) meeting both clinical and functional criteria consistent with disease. Assessment of disease penetrance in 2,188 fathers of individuals with cystic fibrosis enabled assignment of 12 of the remaining 32 variants as neutral, whereas the other 20 variants remained of indeterminate effect. This study illustrates that sourcing data directly from well-phenotyped subjects can address the gap in our ability to interpret clinically relevant genomic variation.
  7. Runcharoen C, Fukunaga K, Sensorn I, Iemwimangsa N, Klumsathian S, Tong H, et al.
    Hum Genome Var, 2021 Feb 04;8(1):7.
    PMID: 33542200 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 publicly available data. A panel of 100 pharmacogenes among Southeast Asian (SEA) populations was resequenced using the NGS platform under the collaboration of the Southeast Asian Pharmacogenomics Research Network (SEAPharm). Here, we present the frequencies of pharmacogenomic variants and the comparison of these pharmacogenomic variants among different SEA populations and other populations used as controls. We investigated the different types of pharmacogenomic variants, especially those that may have a functional impact. Our results provide substantial genetic variations at 100 pharmacogenomic loci among SEA populations that may contribute to interpopulation variability in drug response phenotypes. Correspondingly, this study provides basic information for further pharmacogenomic investigations in SEA populations.
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