Profile
Dr Xueling SIM
Co-Principal Investigator
Dr Xueling Sim completed her PhD in 2011 at the National University of Singapore. She did her postdoctoral training at the Center for Statistical Genetics, Ann Arbor, Michigan under the mentorship of Mike Boehnke. In 2015, she returned to the Saw Swee Hock School of Public Health, National University of Singapore as an Assistant Professor. Her research focuses on using omics techniques to better understand the aetiology of cardio-metabolic traits and diseases. Through the generation of multi-omics data from large population-based studies, she use statistical methods to identify omics biomarkers that increase the risk of disease outcomes and related complex traits. The discovery of such biomarkers can aid in the interpretation of biological pathways, highlight differences in risk profiles across populations, and eventually motivate changes in disease prevention, risk prediction, clinical diagnostics and risk stratification practices.
Singapore - NUS
Researchers
HD4
Research Interest
Dr Sim's research focuses on using omics techniques to better understand the aetiology of cardio-metabolic traits and diseases. Through the generation of multi-omics data from large population-based studies, she uses statistical methods to identify omics biomarkers that increase the risk of disease outcomes and related complex traits. The discovery of such biomarkers can aid in the interpretation of biological pathways, highlight differences in risk profiles across populations, and eventually motivate changes in disease prevention, risk prediction, clinical diagnostics and risk stratification practices.
Key Publications
Google Scholar Link
J. Y. H. Seah et al., “Risk prediction models for type 2 diabetes using either fasting plasma glucose or HbA1c in Chinese, Malay, and Indians: Results from three multi-ethnic Singapore cohorts,” Diabetes Research and Clinical Practice, vol. 203, p. 110 878, 2023. doi: 10.1016/j.diabres.2023.110878.
J. Y. H. Seah et al., “Circulating metabolic biomarkers are consistently associated with type 2 diabetes risk in Asian and European populations,” The Journal of Clinical Endocrinology and Metabolism, vol. 107, no. 7, e2751–e2761, 2022. doi: 10.1210/clinem/dgac212.
J.-F. Chai et al., “Genome-wide association for hba1c in malay identified deletion on slc4a1 that influences hba1c independent of glycemia,” The Journal of Clinical Endocrinology and Metabolism, vol. 105, no. 12, pp. 3854–3864, 2020. doi: 10.1210/clinem/dgaa658.
C. N. Spracklen et al., “Identification of type 2 diabetes loci in 433,540 East Asian individuals,” Nature, vol. 582, no. 7811, pp. 240–245, 2020. doi: 10.1038/s41586-020-2263-3.
A. Leong et al., “Association of G6PD variants with hemoglobin A1c and impact on diabetes diagnosis in East Asian individuals,” BMJ Open Diabetes Research and Care, vol. 8, no. 1, e001091, 2020. doi: 10.1136/bmjdrc-2019-001091.