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Integrative proteogenomic analyses provide novel interpretations of type 1 diabetes risk loci through circulating proteins

Version 2 2025-01-16, 14:32
Version 1 2025-01-06, 19:34
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posted on 2025-01-16, 14:32 authored by Tianyuan Lu, Despoina Manousaki, Lei Sun, Andrew D. Paterson

Circulating proteins may be promising biomarkers or drug targets. Leveraging genome-wide association studies of type 1 diabetes (18,942 cases and 501,638 controls of European ancestry) and circulating protein abundances (10,708 European ancestry individuals), Mendelian randomization analyses were conducted to assess the associations between circulating abundances of 1,560 candidate proteins and the risk of type 1 diabetes, followed by multiple sensitivity and colocalization analyses, horizontal pleiotropy examinations, and replications. Bulk tissue and single-cell gene expression enrichment analyses were performed to explore candidate tissues and cell types for prioritized proteins. After validating Mendelian randomization assumptions and colocalization evidence, we found that genetically predicted circulating abundances of CTSH (OR=1.17 per one standard deviation increase; 95% CI:1.10-1.24), IL27RA (OR=1.13; 95% CI:1.07-1.19), SIRPG (OR=1.37; 95% CI:1.26-1.49), and PGM1 (OR=1.66; 95% CI:1.40-1.96) were associated with the risk of type 1 diabetes. These findings were consistently replicated in other cohorts. CTSH, IL27RA, and SIRPG were strongly enriched in immune system-related tissues, while PGM1 was enriched in muscle and liver tissues. Amongst immune cells, CTSH was enriched in B cells and myeloid cells, while SIRPG was enriched in T cells and natural killer cells. These proteins may be explored as biomarkers or drug targets for type 1 diabetes.

Funding

T.L. has been supported by a Schmidt AI in Science Postdoctoral Fellowship and start-up funding from the Office of the Vice Chancellor for Research and Graduate Education, School of Medicine and Public Health, and Department of Population Health Sciences at the University of Wisconsin-Madison.

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