Leveraging pleiotropy identifies common-variant associations with selective IgA deficiency

Abstract

Selective IgA deficiency (SIgAD) is the most common inborn error of immunity (IEI). Unlike many IEIs, evidence of a role for highly penetrant rare variants in SIgAD is lacking. Known SIgAD-associated variants are common in the general population, but previous studies have had limited power to identify common-variant associations due to their small sample size. We sought to overcome this problem first through meta-analysis of two existing GWAS. This identified four novel common-variant associations and we found also that SIgAD-associated variants were enriched in genes known to harbour variants causal for Mendelian IEIs. SIgAD showed evidence of shared genetic architecture with serum IgA and a number of immune-mediated diseases. To further enhance power, we leveraged this pleiotropy through the conditional false discovery rate procedure, conditioning our SIgAD meta-analysis on large GWAS of asthma and rheumatoid arthritis, and our own meta-analysis of serum IgA. This identified an additional 17 variants associated with SIgAD. Our results increase the number of known SIgAD-associated variants outside the MHC to 26 and strengthen the evidence for a polygenic, common-variant aetiology for SIgAD, highlighting both T- and B-cell biology in the development of this disease. Our approach to genetic variant discovery is relevant to the study of other rare diseases and we hypothesise genes newly associated with SIgAD might be explored for as-yet elusive rare-variant associations with SIgAD or IEIs more generally.

Competing Interest Statement

C.W. receives funding from GSK and MSD and is a part time employee of GSK. These companies had no input into this work.

Funding Statement

This work was supported by the Wellcome Trust (WT107881) and the Medical Research Council (MC_UU_00002/4, MC_UU_00040/01). The EPIC-Norfolk study (DOI 10.22025/2019.10.105.00004) has received funding from the Medical Research Council (MR/N003284/1, MC-UU_12015/1, and MC_UU_00006/1) and Cancer Research UK (C864/A14136). The genetics work in the EPIC-Norfolk study was funded by the Medical Research Council (MC_PC_13048). We also acknowledge funding from the European Union's Horizon 2020 Research and Innovation Programme under grant agreement 633964 (ImmunoAgeing).

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

Yes

The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

Norwich Local Research Ethics Committee of Norwich District Health Authority gave ethical approval for this work.

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Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

Yes

Data Availability

GWAS data sets, cFDR results, GPS test statistics, and genetic correlation estimates are available at the following Zenodo page: https://zenodo.org/doi/10.5281/zenodo.11929771.

https://zenodo.org/doi/10.5281/zenodo.11929771

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