Roundtables

Our roundtable webinars gather research experts to discuss different topics related to large-scale analysis and the UK Biobank dataset.

Integrating proteomics & other omics data

Proteomics data has now become more readily available for researchers alongside other omics data in population health datasets. The ability to combine data on the entire set of genes and associated proteins expressed by the cell is opening new avenues for extracting insights into specific disease areas including cancer.

Learn how researchers are incorporating proteomics data into their multi-omics analysis to enable cancer research discoveries. The roundtable of expert panelists discuss their current research projects, the impact of large-scale multi-omics data, & the technologies and strategies they use for performing multimodal analysis.

Massive scale image analysis

Our panel of image analysis & machine learning experts discuss the current trends in using algorithms for large-scale analysis. They cover current research projects, trends in the AI & ML community, the importance of employing these technologies for reproducible research and how cloud technologies are enabling analysis advances.

Analyzing large-scale datasets to elucidate genetic risk factors of cancer

Clonal Hematopoiesis (CH) is a known risk factor for the development of cardiovascular disease and hematologic cancer, but our understanding of how inherited genetics influences early carcinogenesis is limited. Analyzing large-scale datasets like UK Biobank allow researchers to advance our understanding of genetic influences.

Our roundtable of experts discuss their research into Clonal Hematopoiesis, their current research projects, working with UK Biobank data & the importance of cloud computing for their workflows.

Multi-omic analysis to investigate immune responses

Learn how researchers are combining genomics data with other lifestyle data types in biobanks to investigate immunological disorders. Our panel of immunology experts discusses their current research projects, strategies for performing large-scale multi-omics analysis, the importance of employing technologies for reproducible research and how cloud technologies are enabling analysis advances.

Oncology researcher roundtable

Learn how oncology research experts are incorporating large-scale datasets like UK Biobank into their research. They discuss their research experience, strategies for working with large-scale datasets, and the importance of cloud computing and global scientific collaboration networks.

Video chapters

• 00:00 Introduction & Housekeeping

• 05:11 Panelists' background in cancer research

• 15:19 Interest in proteomics

• 20:07 Cohort population for identifying biomarkers

• 23:30 Upcoming single cell RNA data release

• 28:06 Integrating clinical results and other large-scale datasets

• 36:30 Cloud networks, deep learning & other research technology

• 43:42 UK Biobank data returns

• 47:40 Future for research collaboration

Multi-modal data integration

Learn how experts in the field are performing multi-modal data analysis on the UK Biobank dataset using the UK Biobank Research Analysis Platform. They discuss strategies for and examples of working with large-scale data & how to efficiently cross reference cohorts of different data types.

Video chapters

• 00:00 Speaker Introduction

• 02:10 Tell us more about your research!

• 07:00 Pleiotropy & common diseases

• 12:02 Annotation & large datasets

• 16:14 Fine-mapping & GWAS

• 19:58 Pleiotropy & neuroimaging

• 23:58 Standardizing IDPs across multiple datasets

• 31:00 Cloud computing & large-scale analysis

• 36:44 Working with the UK Biobank dataset

• 44:38 Single cell & visualization

• 51:45 Q&A

Cardiovascular researcher roundtable

Advances in large-scale datasets represent an exciting opportunity for insights into various types of diseases. Large-scale datasets present an opportunity to build more robust and less biased models for predicting disease probability. Incorporating these datasets is becoming more common especially as a driver for more in-depth insights into cardiovascular disease.

Watch the panel of expert cardiovascular disease researchers as they discuss the latest advances in their field of study. They discuss their research experience, recent advances and potential roadblocks in furthering our understanding of cardiovascular disease. The panel then dives into incorporating large-scale datasets, and the importance of cloud computing and global scientific collaboration networks.

Video chapters

• 00:00 Speaker Introductions

• 02:00 Why Cardiovascular Disease Research?

• 04:21 Genomic Data & Drug Effects

• 09:40 Incorporating Various Data Types

• 11:05 Specific Phenotypes for Cardiovascular Research

• 13:25 Research Deriving Features from Primary Data

• 15:36 Machine Learning Methods on Large-Scale Datasets

• 17:28 Communicating Machine Learning Results to Clinicians

• 20:05 Cloud Environments & Large-Scale Datasets

• 23:13 Importance of Research Community & Diversity

• 27:30 RAP & Cardiovascular Research

• 30:30 Clinical Institutions, Cloud Computing & UK Biobank

• 42:08 Handheld Devices, Data & Risk Scores

• 47:12 Genomics & Cardiology Assessments

Dementia researcher roundtable

Panel of research experts including Dr. Laura Winchester from the University of Oxford, Dr. Ahmad Al-Khleifat from King's College London, Dr. David Llewellyn from University of Exeter & Ondrej Klempir, PhD from DNAnexus discuss the modern landscape of Dementia research. They discuss their research experience, participation in the Demon Network hackathon, incorporating large-scale datasets, and the importance of cloud computing and global scientific collaboration networks.

You can learn more about the DEMON Network & join here.

Publications from David Llewyn's group can be found here.

Video chapters

• 00:00 Introduction

• 02:25 Why Dementia research?

• 15:24 Large-scale datasets: Harmonization & Reproducibility

• 23:11 DEMON Network hackathon

• 31:46 Global scientific collaboration

• 35:52 What would the panelists like to see from large research studies in the future?

• 44:58 Technical demo

• 53:05 What else do we need for research in the future?

Demystifying Epidemiological Analyses on UKB-RAP

Learn how to run analyses on UKB-RAP from fellow UKB-RAP users. They discuss their research use cases for exploring the UK Biobank dataset, strategies for building workflows and their scientific results. This webinar is perfect for epidemiologists, clinicians or new users looking to get started using the platform.