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A common genetic variant of a mitochondrial RNA processing enzyme predisposes to insulin resistance

Mitochondrial energy metabolism plays an important role in the pathophysiology of insulin resistance. Recently, a missense N437S variant was identified in the MRPP3 gene, which encodes a mitochondrial RNA processing enzyme within the RNase P complex, with predicted impact on metabolism. We used CRISPR-Cas9 genome editing to introduce this variant into the mouse Mrpp3 gene and show that the variant causes insulin resistance on a high-fat diet.

Prestigious honour for Indigenous Genomics leader

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.

Powerful new network to ensure Indigenous Australians can benefit from genomic medicine

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.

Prestigious fellowship for pioneering researcher

Aleksandra Filipovska has been elected a Fellow of the Australian Academy of Health and Medical Sciences.

National network to significantly improve health outcomes for Indigenous Australians

A new national network will be established to advance the benefits from Genomic Medicine for Aboriginal and Torres Strait Islander people living in Australia.

Draft genome sequences of the pathogenic fungi Scedosporium aurantiacum and Scedosporium apiospermum from clinical isolates

Scedosporium species are filamentous fungi with inherent broad antifungal resistance that pose opportunistic infection threats. We present draft genome assemblies of S. aurantiacum (11 contigs) and S. apiospermum (9 contigs), derived from Oxford Nanopore sequencing of one Australian clinical isolate each.

Consultation informs strategies for improving the use of functional evidence in variant classification

When investigating whether a variant identified by diagnostic genetic testing is causal for disease, applied genetics professionals evaluate all available evidence to assign a clinical classification. Functional assays of higher and higher throughput are increasingly being generated and, when appropriate, can provide strong functional evidence for or against pathogenicity in variant classification. Despite functional assay data representing unprecedented value for genomic diagnostics, challenges remain around the application of functional evidence in variant curation.

Benchmarking Imputed Low Coverage Genomes in a Human Population Genetics Context

Ongoing advances in population genomic methodologies have recently enabled the study of millions of loci across hundreds of genomes at a relatively low cost, by leveraging a combination of low-coverage shotgun sequencing and innovative genotype imputation methods. This approach has the potential to provide abundant genotype information at low costs comparable to another widely used cost-effective genotyping approach-that is, SNP panels-while avoiding potential issues related to loci being ascertained in distantly related populations.