The SG100K Cognitive Health Programme
Topic: Mental Health
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Team
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Aims of Project
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Lead PI: Dr Max Lam
Lee Kong Chian School of Medicine, Institute of Mental Health
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Co-Lead PI: Dr Jimmy Lee
Institute of Mental Health
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Co-Lead PI: Prof Liu Jianjun
Acting Executive Director, Genome Institute of Singapore
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Establish the biological underpinnings for cognitive function in diverse
Asian and global populations.
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Establish the biological convergence between cognitive function and disease
traits.
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Establish epidemiological and genomic risk predictors of cognitive health.
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Institutions involved: Lee Kong Chian School of Medicine, Nanyang Technological University, Institute of Mental Health, National Neuroscience Institute, A*STAR Genome Institute of Singapore
The SG100K_Med Alliance - Clinical Genetics Researchers United for the Analysis of Mendelian Disease Variation in SG100K
Topic: Mendelian Diseases
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Team
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Aims of Project
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Lead PI: Dr Lim Weng Khong
Duke-NUS Medical School
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Co-Lead PI: Dr Joanne Ngeow
Lee Kong Chian School of Medicine
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Co-Lead PI: Dr Saumya Jamuar
KK Women's and Children's Hospital
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Seek a deeper understanding of genetic disease burden in major Asian populations
through a comprehensive analysis of structural variation and short tandem
repeat expansions.
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Demonstrate how SG100K data can resolve variants of uncertain significance.
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Explore impact of polygenic backgrounds on penetrance in autosomal dominant
conditions for under- represented Asian populations.
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Institutions involved: Duke-NUS Medical School, Lee Kong Chian School of Medicine, KK Women's and Children's Hospital, A*STAR Genome Institute of Singapore, Singapore National Eye Centre, Tan Tock Seng Hospital, National University of Singapore, National Heart Centre Singapore, National Neuroscience Institute, Khoo Teck Puat Hospital, Nanyang Technological University
Identification of Asian - Specific Genetic Association with Fat and Lean Muscle Mass Distribution
Topic: Fat and Lean Muscle Mass
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Team
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Aims of Project
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Lead PI: Dr Liu Boxiang
National University of Singapore
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Co-Lead PI: A/P Sim Xueling
National University of Singapore
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Co-Lead PI: Prof Tai E Shyong
National University of Singapore
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Perform multi-ethnic meta-analysis of fat and lean muscle mass using SG100K
and UKBB datasets.
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Mendelian randomisation analysis to identify the contribution of fat and
lean muscle mass to cardiometabolic diseases.
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Colocalisation analysis to identify risk genes affecting fat and lean
muscle mass.
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Conduct functional validation studies of identified genetic loci.
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Institutions involved: National University of Singapore
HLA Alleles and its Association with Auto Immune Diseases and Pharmacogenomics in Multi - Ancestral Asian Populations
Topic: Human Leukocyte Antigen
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Team
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Aims of Project
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Lead PI: A/P Sim Xueling
National University of Singapore
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Co-Lead PI: Dr Leong Khai Pang
Tan Tock Seng Hospital
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Co-Lead PI: Dr Wharton Chan
Duke-NUS Medical School
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Generate a high-resolution human leukocyte antigen (HLA) reference panel
in Asian populations.
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Generate frequencies of HLA alleles and haplotypes in Asian populations
for local reference and for global population comparisons.
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Conduct association analyses of HLAalleles in outcomes including auto
immune diseases and pharmacogenomic responses.
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Institutions involved: National University of Singapore, Tan Tock Seng Hospital, Duke-NUS Medical School
Advancing Precision Medicine for Cardiovascular Disease and Diabetes in Asian Populations
Topic: Cardiovascular and Metabolic Diseases
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Team
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Aims of Project
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Lead PI: Prof John Chambers
Lee Kong Chian School of Medicine
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Co-Lead PI: A/P Sim Xueling
National University of Singapore
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Co-Lead PI: Prof Chen Ching-Yu
Duke-NUS Medical School
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Lead PI: Prof Yeo Khung Keong
National Heart Centre Singapore
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Determine the behavioural (including nutrition and physical activity),
environmental, genetic and other molecular factors that underpin CVD and
diabetes in the multi-ethnic Asian population of Singapore.
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Develop and validate algorithms for accurate identification of Asian individuals
who are at increased risk of CVD and diabetes.
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Institutions involved: Lee Kong Chian School of Medicine, National University of Singapore, Duke-NUS Medical School, Singapore Eye Research Institute, National Heart Centre Singapore
