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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.
Chronic obstructive pulmonary disease (COPD) results from gene-environment interactions over the lifetime. These interactions are captured by epigenetic changes, such as DNA methylation.
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.
Type-2 diabetes is a systemic condition with rising global prevalence, disproportionately affecting Indigenous communities worldwide. Recent advances in epigenomics methods, particularly in DNA methylation detection, have enabled the discovery of associations between epigenetic changes and Type-2 diabetes. In this review, we summarise DNA methylation profiling methods, and discuss how these technologies can facilitate the discovery of epigenomic biomarkers for Type-2 diabetes.
The Australian Genomics Cardiovascular Disorders Flagship was a national multidisciplinary collaboration. It aimed to investigate the feasibility of genome sequencing and functional genomics to resolve variants of uncertain significance in the clinical management of patients and families with cardiomyopathies, primary arrhythmias, and congenital heart disease.
Current differentiation protocols have not been successful in reproducibly generating fully functional human beta cells in vitro, partly due to incomplete understanding of human pancreas development. Here, we present detailed transcriptomic analysis of the various cell types of the developing human pancreas, including their spatial gene patterns. We integrated single-cell RNA sequencing with spatial transcriptomics at multiple developmental time points and revealed distinct temporal-spatial gene cascades.
RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early.
Scientific discoveries over the past 30 years mean doctors now have a deeper understanding of what causes disease and how those diseases might progress.
Indigenous communities are under-represented in genomics research, contributing to inequitable health-related knowledge, outcomes, and benefits. Under-representation reflects enduring consequences of colonial research practices that have engendered cultural, ethical, legal, and social (CELS) concerns among communities.
Citation: Arishi AA, Holland DC, Bracegirdle J, …… Garratt LW, Mantjani L, Moggach SA, et al. Genome-Guided Discovery and Heterologous Biosynthesis