Abstract

OBJECTIVE <p>To identify circulating proteins influencing type 1 diabetes susceptibility using Mendelian randomization (MR). </p> <p>RESEARCH DESIGN AND METHODS</p> <p>We employed a large-scale two-sample MR study, using <i>cis</i> genetic determinants (protein quantative trait loci or pQTL) of up to 1,611 circulating proteins from five large genome-wide association studies, to screen for causal associations of these proteins with type 1 diabetes risk in 9,684 cases with type 1 diabetes and 15,743 controls. Further, pleiotropy-robust MR methods were used in sensitivity analyses using both <i>cis </i>and <i>trans</i>-pQTL.</p> <p>RESULTS </p> <p>We found that a genetically predicted a standard deviation increase in Signal Regulatory Protein Gamma (SIRPG) level was associated with increased risk of type 1 diabetes risk (MR OR = 1.66, 95% 1.36- 2.03; P = 7.1 x 10<sup>-7</sup>). The risk of type 1 diabetes increased almost two-fold per genetically predicted SD increase in interleukin-27 Epstein-Barr Virus Induced 3 (IL27-EBI3) protein levels (MR OR=1.97, 95% CI = 1.48 – 2.62, P= 3.7 x10<sup>-6</sup>). However, a SD increase in chymotrypsinogen B1 (CTRB1) was associated with decreased risk of type 1 diabetes (MR OR=0.84, 95% CI = 0.77 – 0.90, P= 6.1 x10<sup>-6</sup>). <a></a></p> <p>Sensitivity analyses using MR methods testing for pleiotropy while including <i>trans</i>-pQTL showed similar results. While the MR-Egger suggested no pleotropic effect (<i>p</i>-value MR-Egger intercept = 0.31) there was evidence of pleiotropy in MR-PRESSO (<i>p</i>-value global test =0.006). </p> <p>CONCLUSIONS</p> <p>We identified three novel circulating protein biomarkers associated with type 1 diabetes risk using a MR approach. These biomarkers are promising targets for development of drugs and/or of screening tools for early prediction of type 1 diabetes. </p>

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