How is your data being used?

Friday 25 September, 2020

The information you have generously provided has been invaluable for research into many conditions including cancer, arthritis, cardiovascular disease and eye disease.

Below is a selection of scientific papers that have recently been published using data from Health 2020 participants. Some of this research has involved researchers from across Australia and around the world.

  1. Dugué PA, et al. Overall lack of replication of associations between dietary intake of folate and vitamin B-12 and DNA methylation in peripheral blood. Am J Clin Nutr. 2020 Jan 1;111(1):228-230. doi: 10.1093/ajcn/nqz253. PubMed PMID: 31907529.
  2. Papadimitriou N, et al. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis. Nat Commun. 2020 Jan 30;11(1):597. doi: 10.1038/s41467-020-14389-8. PubMed PMID: 32001714.
  3. Escala-Garcia M, et al. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis. Nat Commun. 2020 Jan 16;11(1):312. doi: 10.1038/s41467-019-14100-6. PubMed PMID: 31949161.
  4. Barrow TM, et al. Analysis of retrotransposon subfamily DNA methylation reveals novel early epigenetic changes in chronic lymphocytic leukaemia. Haematologica. 2020 Jan 9. pii: haematol.2019.228478. doi: 10.3324/haematol.2019.228478. [Epub ahead of print] PubMed PMID: 31919093.
  5. Zhong J, et al. A Transcriptome-Wide Association Study (TWAS) Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer. J Natl Cancer Inst. 2020 Jan 9. pii: djz246. doi: 10.1093/jnci/djz246. [Epub ahead of print] PubMed PMID: 31917448.
  6. Fachal L, et al. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nat Genet. 2020 Jan;52(1):56-73. doi: 10.1038/s41588-019-0537-1. Epub 2020 Jan 7. PubMed PMID: 31911677.
  7. Kapoor PM, et al. Combined associations of a polygenic risk score and classical risk factors with breast cancer risk. J Natl Cancer Inst. 2020 May 2. pii: djaa056. doi: 10.1093/jnci/djaa056. [Epub ahead of print] PubMed PMID: 32359158.
  8. Zhang H, et al. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nat Genet. 2020 Jun;52(6):572-581. doi: 10.1038/s41588-020-0609-2. PMID: 32424353.