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Honorary Research Associate
Trailblazing Aboriginal doctor and health researcher Professor Alex Brown has been made a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE) in recognition of his leadership in ensuring Indigenous peoples are at the forefront of genomics efforts nationally and internationally.
A national alliance of the brightest minds in genomic science, academia, policy makers, industry and Indigenous leaders will work to break down barriers to ensure Aboriginal and Torres Strait Islander people can benefit from advances in genomic medicine if they choose.
Aleksandra Filipovska has been elected a Fellow of the Australian Academy of Health and Medical Sciences.
A new national network will be established to advance the benefits from Genomic Medicine for Aboriginal and Torres Strait Islander people living in Australia.
Functional studies of how early-life interventions shape the airway microbiome remain scarce. Here, we performed metagenomic sequencing of 704 longitudinal nasal swabs from infants with and without cystic fibrosis (CF) to construct and characterize a non-redundant gene atlas of the infant nasal microbiome. We aimed to determine how the nasal microbiome is perturbed by early therapies, as CF is commonly treated with inhaled hypertonic saline to improve mucociliary clearance.
Timo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence timo.lassmann@thekids.org.au
The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical measurements, genetic information, diagnoses, and treatments. A phenopacket can be used as an input file for software that supports phenotype-driven genomic diagnostics and for algorithms that facilitate patient classification and stratification for identifying new diseases and treatments.
Genomic sequencing in congenital heart disease (CHD) patients often discovers novel genetic variants, which are classified as variants of uncertain significance (VUS). Functional analysis of each VUS is required in specialised laboratories, to determine whether the VUS is disease causative or not, leading to lengthy diagnostic delays.
Genomic information is increasingly used to inform medical treatments and manage future disease risks. However, any personal and societal gains must be carefully balanced against the risk to individuals contributing their genomic data. Expanding our understanding of actionable genomic insights requires researchers to access large global datasets to capture the complexity of genomic contribution to diseases.