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E Shyong Tai

Publications and source records attributed to E Shyong Tai.

3 recordsLinked to original sources

Prevalence of pharmacogenomically implicated prescriptions in multi-ethnic populations in Singapore.

AIM: To assess the potential impact of implementing pre-emptive pharmacogenomic (PGx) testing in Singapore, focusing on prevalence and genetic actionability of PGx prescriptions. METHODS: Electronic Health Records from 2014 to 2021 were obtained from the National University Hospital (NUH), a tertiary medical centre serving approximately 6% of Singapore's population, which were filtered for pharmacogenomically implicated medicines (CPIC Level A or A/B), defined as PGx medications. Coupling this with published data of whole-genome sequencing of 9051 Singaporeans, we estimated the proportion of patients whose prescriptions might have been modified based on pre-emptive PGx at population level. RESULTS: From 2014 to 2021, a total of 1 157 359 unique patients were seen at NUH, with 38.1% to 43.0% of patients with prescriptions receiving at least one PGx medication annually, exhibiting minimal variance over year of prescription, sex or race/ethnicity. The most frequently prescribed PGx medications were omeprazole, statins and tramadol, while the most implicated pharmacogenes were CYP2C19, CYP2D6 and SLCO1B1. The age-dependent increase in PGx medication exposure varied significantly by sex, with males prescribed these medications earlier in life than females. Similarly, Indians and Malays were more likely to be prescribed these medicines at a younger age than Chinese. Based on frequency of PGx variants in Singaporeans, we estimate that 18.4% of patients could have their prescriptions modified from pre-emptive PGx testing. DISCUSSION: Pharmacogenomically implicated medication prescriptions are common in Singapore and are particularly prevalent in elderly populations. Strategic investments in infrastructure and policy development will be pivotal to the successful integration of pre-emptive PGx into clinical practice.

Asian genomes

Impact of polymorphisms on gene expression and splicing in response to exercise and diet-induced weight loss in human skeletal muscle tissues.

Weight loss through exercise and diet reduces the risk of type 2 diabetes, but the genetic regulation of gene expression and splicing in response to weight loss remains unclear in humans. We collected clinical data and skeletal muscle biopsies from 54 overweight/obese Asian individuals before and after a 16-week lifestyle intervention, which resulted in an average of ∼10% weight loss, accompanied by an ∼30% increase in insulin-stimulated glucose uptake. Improvements were observed in 118 of 252 clinical traits and six blood lipids. Transcriptomic analysis of paired skeletal muscle biopsies identified 505 differentially expressed genes enriched in mitochondrial function and insulin sensitivity. Thousands of muscle-specific expression/splicing quantitative trait loci (e/sQTLs) were detected pre- and post-intervention, including hundreds of lifestyle-responsive e/sQTLs. Notably, approximately 4.2% of eQTLs and 7.3% of sQTLs showed Asian specificity. Joint analysis with genome-wide association study (GWAS) identified 16 putative metabolic risk genes. Our study reveals gene-by-lifestyle interactions and how lifestyle modulates gene regulation in skeletal muscle.

Humans