Displaying all 11 publications

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  1. Zayts O, Sarangi S, Thong MK, Chung BH, Lo IF, Kan AS, et al.
    J Genet Couns, 2013 Dec;22(6):917-24.
    PMID: 24048708 DOI: 10.1007/s10897-013-9646-7
    This paper reports on the workshop 'Genetic Counseling/Consultations in South-East Asia' at the 10(th) Asia Pacific Conference on Human Genetics in Kuala Lumpur, Malaysia, in December 2012. The workshop brought together professionals and language/communication scholars from South-East Asia, and the UK. The workshop aimed at addressing culture- and context-specific genetic counseling/consultation practices in South-East Asia. As a way of contextualizing genetic counseling/consultation in South-East Asia, we first offer an overview of communication-oriented research generally, drawing attention to consultation and counseling as part of a communicative continuum with distinctive interactional features. We then provide examples of genetic counseling/consultation research in Hong Kong. As other countries in South-East Asia have not yet embarked on communication-oriented empirical research, we report on the current practices of genetic counseling/consultation in these countries in order to identify similarities and differences as well as key obstacles that could be addressed through future research. Three issues emerged as 'problematic': language, religion and culture. We suggest that communication-oriented research can provide a starting point for evidence-based reflections on how to incorporate a counseling mentality in genetic consultation. To conclude, we discuss the need for creating a platform for targeted training of genetic counselors based on communication-oriented research findings.
    Matched MeSH terms: Genetics, Medical*
  2. CHIN J
    Med J Malaysia, 1964 Sep;19:71-2.
    PMID: 14240067
    Matched MeSH terms: Genetics, Medical*
  3. CHIN J
    Nature, 1964 Mar 07;201:1039.
    PMID: 14191583
    Matched MeSH terms: Genetics, Medical*
  4. Thong MK, See-Toh Y, Hassan J, Ali J
    Genet Med, 2018 10;20(10):1114-1121.
    PMID: 30093710 DOI: 10.1038/s41436-018-0135-0
    Advances in genetic and genomic technology changed health-care services rapidly in low and middle income countries (LMICs) in the Asia-Pacific region. While genetic services were initially focused on population-based disease prevention strategies, they have evolved into clinic-based and therapeutics-oriented service. Many LMICs struggled with these noncommunicable diseases and were unprepared for the needs of a clinical genetic service. The emergence of a middle class population, the lack of regulatory oversight, and weak capacity-building in medical genetics expertise and genetic counseling services led to a range of genetic services of variable quality with minimal ethical oversight. Some of the current shortcomings faced include the lack of awareness of cultural values in genetic health care, the variable stages of socioeconomic development and educational background that led to increased demand and abuse of genetics, the role of women in society and the crisis of gender selection, the lack of preventive and care services for genetic and birth defects, the issues of gene ethics in medicine, and the lack of understanding of some religious controversies. These challenges provide opportunities for both developing and developed nations to work together to reduce the inequalities and to ensure a caring, inclusive, ethical, and cost-effective genetic service in the region.
    Matched MeSH terms: Genetics, Medical/trends*
  5. Wasant P, Padilla C, Lam S, Thong MK, Lai PS
    Am J Med Genet C Semin Med Genet, 2019 06;181(2):155-165.
    PMID: 31050142 DOI: 10.1002/ajmg.c.31701
    Putting together the reports in this issue that come from a representation of the different countries in Asia presents an opportunity to share the unique story of the Asia Pacific Society of Human Genetics (APSHG), which has provided the authors of many of these articles. This paper, authored by the Past Presidents of the Society, shares glimpses of how medical genetics activities were first organized in the Asia Pacific region and provides interesting corollaries on how under-developed and developing countries in this part of the world had developed a unique network for exchange and sharing of expertise and resources. Although APSHG was formally registered as a Society in Singapore in 2006, the Society has its origins as far back as in the 1990s with members from different countries meeting informally, exchanging ideas, and collaborating. This treatise documents the story of the experiences of the Society and hopes it will provide inspiration on how members of a genetics community can foster and build a thriving environment to promote this field.
    Matched MeSH terms: Genetics, Medical
  6. S, MARAN, LEE, Y. Y., ZILFALIL BA, NOORIZAN AM
    MyJurnal
    Genome Wide Association (GWA) Studies of complex diseases represents a new paradigm in the
    post-genomic era. Since then, the eld of human genetics has been revolutionized by the GWA Studies approach (Yang and Hibberd 2009). Adding to this, the completion of human genome sequence had enabled a systemic identi cation of genetic loci that determines
    the etiology of complex diseases.
    Matched MeSH terms: Genetics, Medical
  7. Ismail NA
    Malays J Med Sci, 2016 Mar;23(2):73-7.
    PMID: 27547118 MyJurnal
    This study explores the experience of both learners and a teacher during a team-based learning (TBL) session. TBL involves active learning that allows medical students to utilise their visual, auditory, writing and kinetic learning styles in order to strengthen their knowledge and retain it for longer, which is important with regard to applying basic sciences in clinical settings. This pilot study explored the effectiveness of TBL in learning medical genetics, and its potential to replace conventional lectures. First-year medical students (n = 194) studying at Universiti Kebangsaan, Malaysia, during 2014/2015 were selected to participate in this study. The topic of 'Mutation and Mutation Analysis' was selected, and the principles of TBL were adhered to during the study. It was found that the students' performance in a group readiness test was better than in individual readiness tests. The effectiveness of TBL was further shown in the examination, during which the marks obtained were tremendously improved. Collective commentaries from both the learners and the teacher recommended TBL as another useful tool in learning medical genetics. Implementation strategies should be advanced for the benefit of future learners and teachers.
    Matched MeSH terms: Genetics, Medical
  8. Lie-Injo Luan Eng, Lopez CG, Poey-Oey Hoey Giok
    Am J Hum Genet, 1968 Mar;20(2):101-6.
    PMID: 5643177
    Matched MeSH terms: Genetics, Medical*
  9. Mustapa MAC, Amin L, Frewer LJ
    Genes Nutr, 2020 Sep 22;15(1):16.
    PMID: 32962632 DOI: 10.1186/s12263-020-00676-y
    BACKGROUND: Nutrigenomics is an emerging science that studies the relationship between genes, diet and nutrients that can help prevent chronic disease. The development of this science depends on whether the public accept its application; therefore, predicting their intention to adopt it is important for its successful implementation.

    OBJECTIVE: This study aims to analyse Malaysian stakeholders' intentions to adopt nutrigenomics, and determines the factors that influence their intentions.

    METHODS: A survey was conducted based on the responses of 421 adults (aged 18 years and older) and comprising two stakeholder groups: healthcare providers (n = 221) and patients (n = 200) who were located in the Klang Valley, Malaysia. The SPSS software was used to analyse the descriptive statistics of intention to adopt nutrigenomics and the SmartPLS software was used to determine the predicting factors affecting their decisions to adopt nutrigenomics.

    RESULTS: The results show that the stakeholders perceived the benefits of nutrigenomics as outweighing its risks, suggesting that the perceived benefits represent the most important direct predictor of the intention to adopt nutrigenomics. The perceived risks of nutrigenomics, trust in key players, engagement with medical genetics and religiosity also predict the intention to adopt nutrigenomics. Additionally, the perceived benefits of nutrigenomics served as a mediator for four factors: perceived risks of nutrigenomics, engagement with medical genetics, trust in key players and religiosity, whilst the perceived risks were a mediator for engagement with medical genetics.

    CONCLUSION: The findings of this study suggest that the intentions of Malaysian stakeholders to adopt nutrigenomics are a complex decision-making process where all the previously mentioned factors interact. Although the results showed that the stakeholders in Malaysia were highly positive towards nutrigenomics, they were also cautious about adopting it.

    Matched MeSH terms: Genetics, Medical
  10. Maier R, Moser G, Chen GB, Ripke S, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Coryell W, et al.
    Am J Hum Genet, 2015 Feb 05;96(2):283-94.
    PMID: 25640677 DOI: 10.1016/j.ajhg.2014.12.006
    Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk.
    Matched MeSH terms: Genetics, Medical/methods*
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