All oral presentations are allocated 22 minutes each, comprising an 18-minute talk followed by a 4-minute Q&A session.
- Pre-day 6 Feb 2024
- Day One 7 Feb 2024
- Day Two 8 Feb 2024
- Pre-day
09:00 AM - 10:30 AMUsing summary statistics & running a PheWAS in the UK Biobank
10:30 AM - 11:00 AMTea break
11:00 AM - 12:30 PMNavigating the UK Biobank Research Analysis Platform. By Dr Huanwei Wang
12:30 PM - 01:30 PMLunch
01:30 PM - 03:00 PMMendelian Randomisation analyses using UK Biobank data
03:00 PM - 03:30 PMTea break
03:30 PM - 05:00 PMUsing UK Biobank Imaging data
- Session 1 (9:30am - 11:00am)
- Session 2 (11.30am - 1.00pm)
- Poster Session 1 (1.00pm - 1.30pm)
- Session 3 (2.00pm - 3.30pm)
- Session 4 (4.00pm - 5.30pm)
08:30 AM - 09:15 AMRegistration
09:15 AM - 09:30 AMOpening Address By Ian Henderson / Peter Visscher
Keynote talk: Sir Rory Collins
No evidence of interaction between FADS2 genotype and breastfeeding on cognitive traits in the UK Biobank By Giulio CentorameThe University of Queensland
C-reactive protein (CRP) is increased chronic pain conditions independent of biopsychosocial factors By Scott FarrellThe University of Queensland
Coffee break
A reference-free approach to detect ascertainment bias in large biobank By Babatunde OlasegeThe University of Queensland
Discriminating ME CFS and comorbidities with NMR metabolomics in UK Biobank By Katherine HuangThe University of Melbourne
Greenspace and the risk of obesity-related cancer in the UK Biobank cohort- analysis of private residential gardens and other greenspace types By Chinonso OdebeatuThe University of Queensland
Sex Differences In Multimorbidity Associated With Acute Stroke- Results From The Uk Biobank By Katie HarrisThe George Institute for Global Health
Lunch & Poster Viewing
01:00 PM - 01:30 PMPoster Session 1 – Genetics and Genomics / Mendelian Randomisation
| Presenter | Title |
|---|---|
| Theme – Genetics and Genomics | |
| Gad Abraham | Integrating human genetics at scale in CSL’s drug development pipeline to increase probability of success |
| NgocQuynh Le | Ancestry Estimation using the UK Biobank as Reference Dataset |
| Chenglong Yu | Genome‐Wide Association Study of Cardiovascular Resilience Identifies Protective Variation in the CETP Gene |
| Maryam Marzban | Genomic Structural Equation Modeling Analysis of Glaucoma Endophenotypes Investigating Genetic Architecture and Non-Intraocular Pressure Mechanisms |
| Ang Li | Comparison and improvement of methods for detecting trait-cell type association using GWAS and single cell RNA-seq data |
| Dalia Mizikovsky | Title Analysis of Population-Scale Phenotypic Data Reveals Organisation of Gene Programs Underpinning All Complex Traits |
| Natalie Twine | Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform |
| Jian Zeng | Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes |
| Theme – Mendelian Randomisation | |
| Daisy Crick | Investigating associtions between early-life factors and handedness using a multivariable and proxy gene-by-environment Mendendelian randomization design |
Sex Differences in the Experience of Pain and Multimorbidity within the UK Biobank By Jason LuoThe George Institute for Global Health
The correlates of neonatal Complement Component 4 protein concentration with a focus on psychiatric and autoimmune disorders By Zhihong ZhuAarhus University
Genome-wide multi-ethnic meta-analysis identifies 22 independent risk loci for normal tension glaucoma and predominantly overlaps with high tension glaucoma By Santiago Diaz-TorresThe University of Queensland
Rethinking the interplay between genetic risk and comorbid disorders in the UK Biobank By Isabelle McGrathThe University of Queensland
Tea break
Finding genes for female fertility in Europe, Africa and Asia By Nick MartinThe University of Queensland
A novel Cell-Type-Specific Polygenic Score (ctPGS) method to Identify Cell Types Relevant to Complex Traits By Ruolan ZhaoThe University of Queensland
Detecting natural selection signatures in multiple sclerosis genetic variants using landscape genomics By Chaw ThweUniversity of Tasmania
Unveiling the challenges- the difficulty in making reliable inferences of between-population mean genetic differences from GWAS By Valentin HivertThe University of Queensland
05:30 PM - 07:30 PMWelcome Reception & Poster Viewing
- Session 5 (9.00am - 10.30am)
- Session 6 (11.00pm - 12.30pm)
- Poster Session 2 (1.00pm - 1.30pm)
- Session 7 (1.30pm - 3.00pm)
- Session 8 (3.30pm - 5.00pm)
Keynote talk: Professor Thomas Nichols
Connectomes for 40,000 UK Biobank participants- A multi-modal, multi-scale brain network resource By Caio SeguinUniversity of Melbourne
Proxy phenotypes for Alzheimer’s disease in neuroimaging studies using the UK Biobank By Baptiste Couvy-DuchesneThe University of Queensland
Coffee break
Transient and microstructural MRI measures in the ventral tegmental area predict depression severity in the general population By Sarah KhalifeThe University of Queensland
Alcohol, blood glucose, and type 2 diabetes: Mendelian Randomisation with a focus on sex difference By Rachel VisontayUniversity of Sydney
Multivariable Mendelian Randomization Analysis to Separate the Effects of Child and Adult Height on Chronic Disease Risk By Kym-Mai NguyenThe University of Queensland
Proteome-wide Mendelian randomization study of birthweight and adverse perinatal outcomes By Emily DaubneyThe University of Queensland
Lunch & Poster Viewing
01:00 PM - 01:30 PMPoster Session 2 – Epidemiology / Imaging
| Theme – Epidemiology | |
| Nicholas Osborne | The role of greenspace in vitamin D status- cross-sectional, observational evidence from the UK Biobank |
| Raaj Biswas | How vigorous incidental physical activity affects cardiovascular health differently in men and women |
| Bridget Fellows | Exploring the role of gonadal development gene LHX9 in human infertility |
| Briar Wormington | Identifying the factor structure of substance use traits and their correlations with mental health-related and other factors |
| Scott Farrell | No independent association between serum vitamin D status and chronic musculoskeletal pain among 349,221 adults in the UK |
| Shizuka Hayashi | Non-Inferiority Analysis of a Deep Learning Model for Detecting Perivascular Spaces Using the UK Biobank Dataset- A Large-Scale Study on the Association with Risk Factors |
| Theme – Imaging | |
| Chao Dong | The brain age of hippocampus-centred regions and associations with APOE genotype |
| Elise Delzant | Comparing morphometricity from voxel-wise and vertex-wise processing of T1w brain images |
| Hadis Jameei | Decomposing cortical thickness heterogeneity by evaluating genetic risk of profiles of psychiatric and medical disorders |
Impact of asymptomatic arrhythmias on cerebrovascular disease and cognitive decline in the UK Biobank Imaging Cohort By Barbara CasadeiUniversity of Oxford
Addressing gender inequity in cardiovascular research- genetic predisposition to depression is a greater risk factor of cardiovascular diseases in women By Clara JiangThe University of Queensland
Accounting for Epistasis Increases Power to Identify Genetic Variants Associated with Coronary Artery Disease By Letitia SngCSIRO
The Genetics of Extreme Birthweight and its Relationship with Cardiometabolic Disease By Gunn-Helen MoenThe University of Queensland
Tea break
Exome-wide evidence of compound heterozygous effects across common phenotypes in the UK Biobank By Duncan PalmerUniversity of Oxford
Saturated GWAS yields new functional annotation of the human genome By Loic ThibautThe University of Queensland
Antagonistic pleiotropy in complex traits By Beilei BianThe University of Queensland
Influence of common missense variants in chemosensory receptor genes on food preferences By Daniel Liang-Dar HwangThe University of Queensland
Closing Remarks By Prof Peter Visscher