The Health for Life in Singapore (HELIOS) Study: delivering Precision Medicine research for Asian populations
Wang, X.; Mina, T.; Sadhu, N.; Jain, P. R.; Ng, H. K.; Low, D.; Tay, D.; Tong, T.; Choo, W.-l.; Kerk, S. K.; Low, G. L.; Team, T. H. S.; Lam, B.; Dalan, R.; Wansaicheong, G.; Yew, Y. W.; Leow, E.-J.; Brage, S.; Michelotti, G. A.; Wong, K. E.; Sheridan, P. A.; Low, P. Y.; Yeo, Z. X.; Bertin, N.; Bellis, C.; Hebrard, M.; Goy, P.-A. V.; Tsilidis, K. K.; Sanikini, H.; Guan, X. L.; Lim, T. H.; Lee, L.; Best, J. D.; Lee, J.; Ngeow, J.; Riboli, E.; Lam, M.; Loh, M.; Chambers, J. C.
Show abstract
Asian people are under-represented in population-based, clinical, and genomic research.1,2 To address this gap, we have initiated the HELIOS longitudinal cohort study, comprising comprehensive behavioural, phenotypic, and genomic measurements from 10,004 Asian men and women of Chinese, Indian or Malay background. Phenotyping has been carried out using validated approaches, that are internationally interoperable. Health record linkage enriches both baseline phenotyping and evaluation of prospective outcomes. The integrated multi-omics data include whole-genome and RNA sequencing, quantification of DNA methylation, and metabolomic profiling. Our data reveal extensive lifestyle, physiological, genomic, and molecular diversity between the distinct Asian ethnic groups, and the biological interconnectivity between functional layers. This includes characterisation of divergent patterns of genome regulation between Asian individuals, that correlate with differences in educational attainment, dietary quality, and adiposity, and which overlap transcription factors and DNA methylation sites linked to the development of diabetes and other chronic diseases. Our unique HELIOS Asian Precision Medicine cohort study represents a state-of-the art platform to enable biomedical researchers to understand the aetiology and pathogenesis of diverse disease outcomes in Asia, and to generate insights that have the potential to improve health outcomes for Asian populations globally.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic loci and establishes causal relationships between educational attainment and healthy eating 97%
- Genome-wide association study of 1,391 plasma metabolites in 6,136 Finnish men identifies 303 novel signals and provides biological insights into human diseases 97%
- Comprehensive genetic analysis of the human lipidome identifies novel loci controlling lipid homeostasis with links to coronary artery disease 97%
Similar papers in this journal
- Large scale genome-wide association study in a Japanese population identified 45 novel susceptibility loci for 22 diseases 96%
- A combined polygenic score of 21,293 rare and 22 common variants significantly improves diabetes diagnosis based on hemoglobin A1C levels 96%
- A genetic map of human metabolism across the allele frequency spectrum 96%
Similar papers in this journal
- Proteome-wide Mendelian randomization implicates nephronectin as an actionable mediator of the effect of obesity on COVID-19 severity 97%
- Identification and characterization of human GDF15 knockouts 96%
- Genome-microbiome interplay provides insight into the determinants of the human blood metabolome 96%
Similar papers in this journal
- Desert Dingo (Canis lupus dingo) genome provides insights into their role in the Australian ecosystem. 94%
- Transcriptional regulation of adipocyte lipolysis by IRF2BP2 94%
- Bidirectional Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of intermediate potential 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.