Completed Genetics & Molecular Biology Pregnancy, Children & Inherited Conditions

Primary Immunodeficiency: mechanism and diagnosis via integrative clinical immunogenomics.

In plain English

AI plain-English summary

Most patients with primary immunodeficiency—a condition that leaves people vulnerable to severe, recurrent infections—have no family history of the disease, making it extremely difficult to find the genetic causes. This matters because 80% of these patients lack an obvious inherited pattern, so standard gene-hunting methods fail them. In a pilot study using whole genome sequencing, only 8% of patients had mutations in known PID genes. The team developed new Bayesian statistical tools that uncovered previously missed disease genes, regulatory deletions, and interactions between rare and common variants that explain why some family members get sick while others do not. If this research succeeds, it will transform how sporadic cases of genetic disease are diagnosed. The team plans to expand the world’s largest PID genome sequencing cohort, integrate clinical and immune cell data, and build analytical methods that work even without family trees. The ultimate goal is to raise the diagnostic yield from the current 8% to something far higher—not just for PID, but for any genetic condition where patients appear as isolated cases. This is fundamentally a methods-development project: the new statistical tools could become standard for gene discovery in sporadic disease, quietly improving diagnostic pipelines across medicine.

View original technical description
Primary Immunodeficiency (PID) has a devastating impact on the lives of patients and their families, and management is aided by genetic diagnosis. 80% of PID patients have no overt family history, and thus have been intractable to gene discovery. Our recent pilot study explored whole genome sequencing (WGS) to enhance diagnosis in PID, and found only 8% of such patients carried disease causing mutations in known PID genes. By applying new Bayesian analytical techniques, we identified multiple new PID-associated genes; causative deletions in regulatory regions; and interplay between novel high-penetrance monogenic and common variants, beginning to explain the variable penetrance of PID. We will expand this WGS PID cohort, already the world’s largest, and develop additional specialised statistical tools to incorporate deep clinical, immunophenotyping and antigen receptor repertoire data to enhance WGS analysis techniques. We will use genetic association data from immune-mediated diseases to increase power, and use genetic information to characterise the clinical features predictive of PID and enhance diagnosis. This collaborative effort will enhance understanding of PID biology, define phenotypic variability, discover new disease associated genes, increase diagnostic yield - but importantly develop mechanisms for WGS-based gene discovery in cohorts of sporadic patients, applicable beyond PID.

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Researchers

Adrian Thrasher (EPMC Awardee)Chris Wallace (EPMC Awardee)Christoph Hess (EPMC Awardee)Kenneth Smith (EPMC Awardee)Rachael Bashford-Rogers (EPMC Awardee)Siobhan Burns (EPMC Awardee)Sylvia Richardson (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Investigation of genetic variants associated with primary immunodeficiency
Identifying and Validating Genetic Causes of Primary Immunodeficiencies
Genetic and immunological characterisation of novel JAK/STAT signalling pathway defects in primary immunodeficiency diseases
Integrative proteo-genomic analysis to investigative immune-mediated disease aetiology
Uplifting genetic diagnostic rate in PCD through gene discovery, and novel methodologies

Original classification

Collaborative Award in Science

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