Our research

Mapping risk.
Revealing biology.

We study how inherited variation contributes to lupus and how those signals alter the immune system.

Lupus is genetically complex.

Systemic lupus erythematosus is influenced by many genetic variants, each contributing a small part of overall susceptibility. Environmental and hormonal factors also matter, and the mix differs from one person to another.

This complexity is precisely why large studies, careful statistical analysis and collaboration across populations are essential.

Understanding connections across complex diseases

We combine statistical evidence with biological knowledge to investigate shared genetic architecture across immune-mediated disease and infection.

Research framework linking shared genetic architecture with statistical analysis, biological pathways, immune-mediated disease and infection
A visual overview of the research framework. The key concepts are provided as accessible text alongside.
01

Shared genetic architecture

Identify genetic variants and pathways that contribute to more than one complex disease or immune-related outcome.

02

Statistical analysis

Use genome-wide association, fine-mapping and cross-trait methods to distinguish robust signals from background variation.

03

Biological pathways

Connect association signals to genes, proteins, cell types and immune mechanisms that can be investigated experimentally.

04

Immune-mediated disease and infection

Compare shared and contrasting mechanisms to understand how inherited variation shapes immune function in different contexts.

Example genes highlighted in the framework
TYK2IRF5STAT4TNFAIP3IFNAR2HLA-DRB1UBE2L3PTPN22BLKBANK1
Genetic association plot from lupus research
01

Discover

Genome-wide association studies compare genetic variation across large groups, highlighting regions associated with SLE risk.

Laboratory biology research
02

Interpret

Statistical fine-mapping and functional evidence help move from an associated region toward likely genes, cell types and mechanisms.

Conceptual image representing complex disease
03

Connect

Integrating multiple data types reveals patterns across innate and adaptive immunity and supports testable biological hypotheses.

Progress is faster when evidence can travel.

InsideGen exists to make research progress, context and resources easier to find. We welcome questions from researchers, participants and the wider lupus community.