Staff Profile: Dr Julia Steinberg

Dr Julia SteinbergJulia-Steinburg-200x200

Research Fellow, Cancer Research Division
E: julia.steinberg@nswcc.org.au

Research summary

Julia’s research leverages large-scale genetic, genomic, and epidemiological data to gain insights into human health and reduce the burden of disease.

Julia completed a DPhil in Genomic Medicine and Statistics at the University of Oxford, where she identified genetic risk factors for neurodevelopmental and neuropsychiatric disorders, applying innovative approaches to combine genetic data with gene expression patterns. She then moved to the Sanger Institute and the University of Cambridge, where she led a cutting-edge multi-omics project to gain insights into the aetiology of osteoarthritis, integrating methylation, gene expression, and protein abundance data from patient tissue.

Julia’s current research focuses on epidemiological and genetic cancer risk factors, including the application of state-of-the-art methods to large-scale datasets such as that from the 45 and Up Study. In addition, she carries out statistical projections of cancer incidence and mortality, and is involved in an implementation trial to improve genomic testing for Lynch Syndrome in the clinic.

Qualifications

DPhil (PhD equivalent), University of Oxford

MMath, University of Oxford

Academic affiliations

Institute of Translational Genomics, Helmholtz Zentrum München, Germany

Key publications

  1. Simms K, Steinberg J, Caruana M, Smith M, Lew JB, Soerjomataram I, Castle P, Bray F, Canfell K. Timeline to eliminating of cervical cancer: projections of the impact of HPV vaccination and cervical screening in 181 countries: 2020-2099. Lancet Oncology (accepted).
  2. Zengini E*, Hatzikotoulas K*, Tachmazidou I*, Steinberg J et al. (2018).  Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis. Nature Genetics 50, 549–558.
  3. Steinberg J, Ritschie GRS, Roumeliotis T, Jayasuriya R, Clark M et al. (2017). Integrative epigenomics, transcriptomics and proteomics of patient chondrocytes reveal genes and pathways involved in osteoarthritis. Scientific Reports, 7, 8935.
  4. Steinberg J, Honti F, Meader S, Webber C (2015). Haploinsufficiency Predictions Without Study Bias. Nucleic Acids Research 43 (15), e101.
  5. Steinberg J and Webber C (2013). FMRP targets in ASD: single- and multiple-hit genetic etiologies. American Journal of Human Genetics, 93 (5), 825-839.

More publications by Dr Julia Steinberg

https://scholar.google.com/citations?user=RZHQRFMAAAAJ&hl=en

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