Data resources led by GERA investigators
May 21, 2025 / June 12, 2025 by Jessica Tyler
A similar NIH-funded international consortium to the BCFR Cohort withsix sites in Australia and New Zealand, Canada and the US. and is funded by NIH. The cohort was established in 1998 and conducts regular follow-ups. Epidemiology, family history, biospecimens, mutation and genomic data have been collected.
Read more »
Data resources GERA investigators have experience with
May 21, 2025 / May 22, 2025 by Jessica Tyler
A population-based family study including 1,164 families recruited in Sydney, Melbourne and Brisbane that differ substantially in latitude, solar ultraviolet radiation exposure, and melanoma incidence, with epidemiology data, family history and biospecimens collected. GERA contact: AI Mark Jenkins Website: PMID: 19887461
May 19, 2025 / May 21, 2025 by Jessica Tyler
The study recruited over 50,000 Australians and collected their baseline questionnaire data on family history, health and lifestyle and diet, and biospecimens during 2014-2018. The participants are followed up every 3 years.
March 28, 2025 / May 21, 2025 by Jessica Tyler
The study recruited over 4,300 female twins and their sisters aged 30-80 years during 2004-2009. Questionnaire data on family history, health and lifestyle and diet, mammogram images, blood samples, genomic and epigenomic data have been collected.
Training and Working Groups
February 18, 2025 / May 19, 2025 by Jessica Tyler
When: 7th-11th July 2025 Where: The University of Queensland in Brisbane, Australia. GGWS provides hands-on training in cutting-edge statistical and computational methods for genetic or genomic data analysis. There are 6 learning modules on offer, covering contemporary genetics subjects with a strong emphasis on practical exercises.
The group convenes every two months to exchange knowledge and foster collaboration within the field of genetic epidemiology. The aim of the group is to improve our understanding of how genomic variation contributes to the occurrence and distribution of human disease.