ASHG 2026 · Tier 2–3 Academic

QIMR Berghofer Medical Research Institute at ASHG 2026

Name: ASHG 2026 Annual Meeting
Start: 2026-10-20
End: 2026-10-24
Location: Montréal

Brisbane, Australia

QIMR Berghofer Medical Research Institute at ASHG 2026 in Montréal: 8 presentations (7 posters, 1 platform talk); 6 research groups.

presentations on the program

research groups identified

Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
QIMR Berghofer Medical Research Institute Brisbane, Australia	3 PIs · 2 PhD Students · 1 Staff Scientist · 1 Postdoc
Cancer Genetic Susceptibility Laboratoryqimrb.edu.au/researchers-and-labs/cancer-genetic-susceptibility Dry lab~6 people Studies endometrial cancer genetics using GWAS, epigenomic, transcriptomic and genotyping data. Supports prevention, risk prediction and treatment research. Funded by NHMRC, US Department of Defense +3 more › NHMRC · active “NHMRC” US Department of Defense · active “US Department of Defense” Worldwide Cancer Research · active “Worldwide Cancer Research” +2 more on the lab page Source: lab pages 5 platforms and techniques › Techniques Genome-wide association studies, Fine-mapping, Bioinformatics analysis, Multi-omics integration, Single-cell multi-omics Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm Leptin reshapes genetic dependencies at endometrial cancer GWAS risk loci Cancer Genome editing/CRISPRGenome-wide association studySomatic variants Poster Thu Oct 22 4:15 pm ★ Reviewers’ Choice Sex-specific dissection of adiposity genetics reveals distinct pathways to endometrial cancer risk Complex Traits and Polygenic Disorders Collaborators: The University of Queensland, University of Oxford ObesityCancerComplex traitsGenome-wide association study
Computational Neurogenomics Laboratoryqimrb.edu.au/researchers-and-labs/computational-neurogenomics Dry lab~5 people Studies human genetics, neuroimaging, wearable-derived digital biomarkers and electronic health data. Supports prediction and personalised care for Parkinson’s disease and related brain disorders. 73 papers since 2024 › Speech and language biomarkers for Parkinson’s disease prediction, early diagnosis and progression npj Parkinson s Disease, 2025 Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference Nature Genetics, 2024 Impact of genetic predisposition to late-onset neurodegenerative diseases on early life outcomes and brain structure Translational Psychiatry, 2024 Source: OpenAlex author A5018398870 Funded by Rebecca L Cooper Medical Research Foundation, Australia, National Health and Medical Research Council, Australia +7 more › Rebecca L Cooper Medical Research Foundation, Australia · active “Rebecca L Cooper Medical Research Foundation, Australia” National Health and Medical Research Council, Australia · active “National Health and Medical Research Council, Australia” Medical Research Future Fund, Australia · active “Medical Research Future Fund, Australia” +6 more on the lab page Source: lab pages 6 platforms and techniques › Techniques Genome-wide association studies (GWAS), Polygenic risk score development, Mendelian randomisation, Machine learning, Neuroimaging genetics, Digital biomarkers Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm Reporting matures while cross-ancestry validity erodes: a decade-long appraisal of East Asian Mendelian randomization studies, 2014 to 2025 Statistical Genetics and Genetic Epidemiology Collaborators: The University of Queensland Mendelian randomizationGenetic epidemiologyPopulation geneticsEpidemiology Poster Wed Oct 21 2:30 pm Genetic drivers of vascular complications in Type 1 Diabetes Complex Traits and Polygenic Disorders Collaborators: The University of Melbourne, Menzies Institute for Medical Research +1 more Autoimmune disorderComplex traitsDiabetesGenome-wide association study
Genome Variation and Regulation in Disease Labqimrb.edu.au/researchers-and-labs/genome-variation-and-regulation-in-disease Wet + dry lab~5 people Integrates genetic data with RNA-seq, ATAC-seq and single-cell multi-omics using functional screens and genome editing. Identifies causal cancer-risk genes, pathways and cell types. 9 papers since 2024 › Parity and lactation induce T-cell-mediated breast cancer protection Nature, 2025 Cancer Risks Associated With TP53 Pathogenic Variants: Maximum Likelihood Analysis of Extended Pedigrees for Diagnosis of First Cancers Beyond the Li-Fraumeni Syndrome Spectrum JCO Precision Oncology, 2024 Pregnancy-Related Factors and Breast Cancer Risk for Women Across a Range of Familial Risk JAMA Network Open, 2024 Source: OpenAlex author A5101407612 Funded by Tour de Cure, NHMRC +3 more › Tour de Cure · 2025 “Tour de Cure 2025 "Chromatin modifiers as breast cancer therapeutic targets"” NHMRC, Ideas · 2020-2022 “NHMRC Ideas (2020-2022). Investigating the role of breast cancer susceptibility genetic variants in immune surveillance.” US Department of Defense, Breakthrough Award · 2019-2022 “US Department of Defense Breakthrough Award (2019-2022). Systematic Identification, Validation, and Evaluation of Breast Cancer Risk Genes” +2 more on the lab page Source: lab pages 13 platforms and techniques › Works with pooled functional genetic screens, multiplex reporter assays, genome editing, RNA-seq, ATAC-seq, single-cell multi-omics, single-cell chromatin accessibility, chromatin interaction data Techniques pooled functional genetic screens, multiplex reporter assays, genome editing, machine learning, pathway and network analysis Source: lab pages No openings posted	Poster Fri Oct 23 2:30 pm A Locus-level Framework for Resolving Cell-lineage Regulatory Programs at Genetic Risk Loci Molecular Effects of Genetic Variation Collaborators: The University of Queensland, Institute for Molecular Science ChromatinComputational toolsGenome-wide association studyVariant interpretation
Genomics and Machine Learning Labqimrb.edu.au/researchers-and-labs/genomics-and-machine-learning-lab Wet + dry lab Generates 10X Visium gene-expression data from fresh-frozen and FFPE samples. Uses cell maps to predict cancer progression and prioritize drugs. Funded by NHMRC, NHMRC +5 more › NHMRC, Investigator Grant · active “NHMRC Investigator Grant” NHMRC, Ideas Grant · active “NHMRC Ideas Grant” National Breast Cancer Foundation · active “National Breast Cancer Foundation” +4 more on the lab page Source: lab pages 6 platforms and techniques › Runs 10X Visium Techniques spatial sequencing and histopathological image integration, ligand-receptor screening, single-cell technologies, mouse models, spatial proteomic profiling Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm Advancing Spatial Cellular Pathology: Foundation Models and Multi-Instance Learning for Single-Cell Gene Expression Prediction Artificial Intelligence and Machine Learning Collaborators: Institute for Molecular Bioscience, The University of Queensland +1 more Spatial transcriptomicsMachine learning
Global Precision Health Labqimrb.edu.au/researchers-and-labs/global-precision-health Dry lab~5 people Uses large-scale genetic data, biobank datasets and multi-omics integration for precision-health research. Focuses on diverse and under-represented populations worldwide. 63 papers since 2024 › Genome-wide meta-analysis identifies 22 loci for normal tension glaucoma with significant overlap with high tension glaucoma Nature Communications, 2024 Uncovering genetic loci and biological pathways associated with age-related cataracts through GWAS meta-analysis Nature Communications, 2024 Exploring the Germline Genetics of In Situ and Invasive Cutaneous Melanoma JAMA Dermatology, 2024 Source: OpenAlex author A5064091669 Funded by National Health and Medical Research Council › National Health and Medical Research Council, NHMRC Investigator Grant · 2022-2027 “NHMRC Investigator Grant (2022-2027).” Source: lab pages 5 platforms and techniques › Techniques Mendelian randomization, Polygenic risk score development, Multi-omics integration, Passive phenotyping, Federated learning Source: lab pages No openings posted	Talk Thu Oct 22 8:45 am Decomposing cross-ancestry Mendelian randomization bias into structural, statistical, and architectural components: Robust estimators resolve most cross-ancestry attenuation From Labels to Landscapes: Leveraging Local Ancestry and the Ancestry Continuum to Maximize Cross-Ancestry Association Collaborators: The University of Queensland Mendelian randomizationGenetic epidemiologyMethodologyComplex traits
Statistical Genetics Laboratoryqimrb.edu.au/researchers-and-labs/statistical-genetics Dry lab~6 people Develops statistical genetic methods for gene-mapping studies using genetic variation data. Focuses on cancer and ophthalmological genetics, including eye disease risk factors. 36 papers since 2024 › An Operationally Unsaturated Iridium-Pincer Complex That C–H Activates Methane and Ethane in the Crystalline Solid-State Journal of the American Chemical Society, 2025 A Gold(I)–Acetylene Complex Synthesised using Single‐Crystal Reactivity Angewandte Chemie International Edition, 2024 Transition Metal‐Free Catalytic C−H Zincation and Alumination Angewandte Chemie International Edition, 2024 Source: OpenAlex author A5043306923 Funded by National Health and Medical Research Council, Council Cancer Queensland +7 more › National Health and Medical Research Council, project grant · since 2008 “his first NHMRC project grant as CIA began in 2008 and since then he has been continuously funded by the NHMRC” Council Cancer Queensland · active “Council Cancer Queensland” Worldwide Cancer Research · active “Worldwide Cancer Research” +6 more on the lab page Source: lab pages 4 platforms and techniques › Techniques gene mapping, GWAS, genetic prediction, bioinformatics tools Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm Towards Equitable Glaucoma Risk Prediction: Polygenic Risk Score Calibration in Underrepresented and Admixed Ancestries Complex Traits and Polygenic Disorders Collaborators: The University of Queensland, UNSW Sydney +3 more Polygenic risk scoreGenetic epidemiologyStatistical geneticsComplex diseases

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