Abstract
Our immune system contains multiple checkpoints to prevent the activation of self-reactive lymphocytes. How some lymphocytes escape these constraints to cause autoimmune disease remains poorly understood. A long-standing hypothesis posits that somatic mutations in immune-regulatory genes may enable self-reactive lymphocytes to bypass tolerance checkpoints1–3, but testing this has been challenging due to technical limitations. Here, we use whole-exome and targeted NanoSeq4,5, an accurate single-molecule DNA sequencing protocol, to comprehensively search for driver mutations in autoimmune thyroid disease. This revealed many B cell clones convergently acquiring loss-of-function mutations in the key immune checkpoint genes TNFRSF14 (HVEM) and CD274 (PD-L1), as well as less frequent mutations in other immune genes. In highly inflamed biopsies, we detected tens to hundreds of independent immune checkpoint mutant clones. Laser microdissection, methylation sequencing, spatial transcriptomics, immunostaining, single-nucleus DNA sequencing, and antibody synthesis localised these mutations to B cells, confirmed some to be self-reactive, and identified clones carrying multiple hits. We found widespread TNFRSF14 biallelic loss, and clones with as many as 4-6 driver mutations. Whilst each clone accounts for a small fraction of cells (typically <1%), the myriad mutant clones in each donor amounted to a substantial fraction of B cells harbouring driver mutations. Our results support the hypothesis that somatic mutations in autoimmune lymphocytes may allow them to escape tolerance constraints through a polyclonal cascade of somatic evolution, providing new insights into the molecular basis of autoimmune disease.
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Supplementary information
Supplementary Information (download PDF )
This file contains Supplementary Notes 1-3 and additional references. Supplementary Note 1: Macfarlane Burnet's ideas on the role of somatic mutations in autoimmunity. Supplementary Note 2: Further description of the driver landscape in AITD. Supplementary Note 3: Mutational signature analysis in single nuclei.
Supplementary Table 1
Donor metadata.
Supplementary Table 2
List of genes captured in the targeted panel.
Supplementary Table 3
Modified atlas of differentially methylated regions in 44 different cell types.
Supplementary Table 4
Cell type estimates by targeted methylation sequencing.
Supplementary Table 5
NanoSeq mutation calls.
Supplementary Table 6
Per sample duplex coverage.
Supplementary Table 7
Genotyped mutations in single nucleus sequencing data.
Supplementary Table 8
Additional annotation per nucleus.
Supplementary Data (download ZIP )
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Nicola, P.A., Lawson, A.R.J., Tidd, A. et al. Polyclonal selection of immune checkpoint mutations in thyroid autoimmunity. Nature (2026). https://doi.org/10.1038/s41586-026-10493-9
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DOI: https://doi.org/10.1038/s41586-026-10493-9