Singapore Integrative Omics Study: Establishing multiple omics baselines for three Southeast Asian populations

In this study, we aim i) to establish population reference measurements across multiple omic technologies; ii) to investigate the inter-population variations in each omic and phenotypic measurements in three major populations in Singapore. The measurements include:

1. more than 2.5 millions SNPs across the genome (including exonic and pharmacogenomic SNPs);
2. 4-digits typing alleles at eight HLA loci;
3. 21,649 gene probesets expression;
4. 282 lipid species via mass spectometry;
5. 274 circulating miRNAs via qPCR quantification; and
6. 284 phenotypic variables (including clinical, lifestyle and dietary variables)

iOmics Data Resource

The iOmics data presented in the paper can be downloaded here: iOmics_data
Please fill in the data access agreement form: iOmics_DAA_July2017.doc and send it to statyy@nus.edu.sg
The raw data in different omic platform are available upon request to statyy@nus.edu.sg

Kassam et al. Genome-wide identification of cis DNA methylation quantitative trait loci in three Southeast Asian Populations. Hum Mol Genet. 2021;ddab038. doi 10.1093/hmg/ddab038 Summary level mQTL data in SMR binary (BESD) format (n=93 Chinese, n=83 Indians, n=78 Malays): iOmics_cis_mQTL_SMR.zip (73.3 GB)

https://doi.org/10.1093/hmg/ddab038

Acknowledgements

This project acknowledges the support of Saw Swee Hock School of Public Health, the Yong Loo Lin School of Medicine, The National University Health System and the Life Sciences Institute. W.Y.S and Y.Y.T additionally acknowledge support from the Biomedical Research Council (grant 03/1/27/18/216), National Medical Research Council (grant 0838/2004), National Research Foundation (through the Biomedical Resarch Council, grants 05/1/21/19/425 and 11/1/21/19/678).

Contact

Corresponding author: Prof Yik-Ying Teo (statyy@nus.edu.sg)