One of those weeks you don’t want to end! It was a pleasure to host our friends and collaborators from UBC. The visit provided a great opportunity to deepen our collaboration, exploring joint work in methodological development, cross-country analyses, and collaborative funding opportunities.
Posts by Economics of Genomics and Precision Medicine Unit
Last week, the Economics of Genomics & Precision Medicine Unit hosted an Aus–Canada workshop on optimising genomic medicine, with 40 participants from academia, clinicians, Cancer Australia, Genomics Australia, PBAC/MSAC, industry, and consumer advocates. Excited to pursue ideas & collaborations!
What is the value of genomic testing for Atrial Fibrillation? A new study led by Lizzy Liu and Ilias Goranitis found people highly value genomic testing for AF,at $2,900 for symptomatic patients and $2,600 for at risk relatives, with predicted uptake of 82% if publicly funded. go.unimelb.edu.au/xzr2
New publication 🎉
A systematic review of preferences for additional findings from genomic testing, led by Daniel Sheen with A/Prof Ilias Goranitis, is now published in the European Journal of Human Genetics.
Read more: www.nature.com/articles/s41...
PhD opportunity in Health Economics: Quantifying the Value of Advanced Cell Therapy for Long-term Autoimmune Conditions: CAR-T Cell Therapy for Systemic Lupus Erythematosus. Led by the Uni of Manchester with a 12-month placement at UniMelb. More here: findanexpert.unimelb.edu.au/opportunity/...
PhD opportunity in Health Economics: Real world evaluation methods for health technology assessment of genomic technologies. Joint PhD based at the University of Melbourne with a minimum 12-month stay at the University of Manchester.
More info here: findanexpert.unimelb.edu.au/opportunity/...
PhD opportunity in Health Economics: Evaluate the value, feasibility and sustainability of PERSONA, a precision prevention program for breast and ovarian cancer. Methods include early HTA, micro-costing and DCEs. More info here:
findanexpert.unimelb.edu.au/opportunity/...
We’re excited to welcome A/Prof Dean Regier as an Honorary within the EiGEN team. Dean is a leading international health economist at UBC and BC Cancer, with work spanning translational medicine, regulatory science, learning health systems and AI-supported real-world evidence in genomics.
Determining the value of genomics in healthcare” is now published in Nature Medicine. Led by A/Prof Ilias Goranitis, the paper brings together international co-authors to examine how the value of genomics can be assessed.
Read the full article: www.nature.com/articles/s41...
What a fantastic achievement! Congratulations to @zornitza.bsky.social, @iliasgoranitis.bsky.social and team on the publication of the BabyScreen+ genomic newborn screening study, out today in Nature Medicine.
Mackenzie Bourke presented “Incorporating individual-level preferences into cost-effectiveness analysis of population genomic risk screening: a discrete event simulation.”
Lizzy Liu presented “Risk in preferences for breast cancer genomic risk screening and subsequent prevention protocols.”
Julia Steinberg presented “Community preferences for population-wide genomic risk stratification (using polygenic risk scores) and risk-tailored cancer screening.”
Last week, Lizzy Liu and Mackenzie Bourke presented in an organised session at the AHES Conference in Canberra on the value of population-wide genomic risk assessment for cancer screening, alongside A/Prof Julia Steinberg from the Daffodil Centre.
(1/4) INVITATION: Applying #MendelianRandomization in #HealthEconomics - Bridging #Genomics & #CostEffectiveness
🗓️ Tues 16 Sept
⏰8-9 AM UTC / 9-10 AM BST / 6-7 PM AEST
📍Online, download the calendar invite here: healtheconomics.org/event/applyi...
(1/4) INVITATION: Webinar exploring distributional cost-effectiveness analysis (#DCEA) for advancing #healthequity
🗓️ Date & time: 6-7pm Wed 8 Oct EDT / 10-11pm Wed 8 Oct UTC / 9-10am Thurs 9 Oct AEDT
📍 Online, download the calendar invitation here: healtheconomics.org/event/advanc...
📢 New publication in The European Journal of Health Economics!
The paper assesses the psychometric performance CHU9D proxy version compared with the PedsQL in Australian children aged 0–7 years with congenital colorectal conditions.
Read our findings: link.springer.com/article/10.1...
Recently our team conducted two #DCEs as part of the BabyScreen+ program to elicit the Australian public’s preferences, values, and priorities for genomic newborn screening (gNBS) and its implementation.
Read more here: sciencedirect.com/science/arti...
Excited to welcome Thuy Dung (“Dzung”) Nguyen as our new Research Assistant in the Economics of Genomics and Precision Medicine Unit! Dzung will be contributing to a project evaluating the cost-effectiveness of genomic testing for children/adults with suspected kidney disease.
📄 pubmed.ncbi.nlm.nih.gov/38459833/
📄 pubmed.ncbi.nlm.nih.gov/39725011/
humgenomics.biomedcentral.com/articles/10....
📄 pubmed.ncbi.nlm.nih.gov/35181209/
📄 nature.com/articles/s41...
📄 pubmed.ncbi.nlm.nih.gov/34099885/
📄 pubmed.ncbi.nlm.nih.gov/37489581/
📄 pubmed.ncbi.nlm.nih.gov/40172779/
Links to the papers referenced in the presentation are included below.
📄 pubmed.ncbi.nlm.nih.gov/32266555/
📄 pubmed.ncbi.nlm.nih.gov/39522058/
📄 pubmed.ncbi.nlm.nih.gov/32024983/
📄 pubmed.ncbi.nlm.nih.gov/32371919/
📄 nature.com/articles/s41...
📄 pubmed.ncbi.nlm.nih.gov/32839572/
A few weeks ago, @iliasgoranitis.bsky.social
presented at the Pan American Health Organisation webinar series. The webinar explored the challenges and opportunities of incorporating genomic innovations into health systems. youtube.com/watch?v=cPQr...
Read more here: link.springer.com/article/10.1...
This systematic review highlights where genomic medicine is likely cost-effective across the cancer care continuum, from:
🔹 Prevention & early detection
🔹 Diagnosis, staging & planning
🔹 Treatment
🔹 Managing refractory/relapsed disease
🔹 Palliative & end-of-life care
🔬 Excited to share our latest work: "The Cost Effectiveness of Genomic Medicine in Cancer Control", in collaboration with Cancer Australia and @who.int.
Preferences like testing uptake, treatment adherence, and trust in the healthcare system are key to evaluating genomic medicine. Ignoring them can bias cost-effectiveness and policy relevance.
🔎 Read the paper our team supported: rdcu.be/eaJBy
How has publicly funded genetic and genomic tests been used in Australia? Read our recent study on test utilisation and MBS funding here: www.nature.com/articles/s41...
Using #MCDA, we elicited expert preference values for the diagnostic, clinical, family, economic, and societal components of genomic utility. This enabled the development of a scoring system ranging from 0% to 100%. The utility indicators used in the scale are shown in the table.