Genome-Wide Aggregated Trans Effects Analysis for Circulating Proteins Indicates a Key Role of Immune Checkpoints in Type 1 Diabetes

全基因组循环蛋白聚集效应分析表明免疫检查点在1型糖尿病中发挥关键作用

阅读:1

Abstract

The "omnigenic" hypothesis postulates that polygenic effects of common variants on typical complex traits coalesce via trans effects on the expression of a relatively sparse set of "core" effector genes and their encoded proteins in relevant tissues. The objective of this study was to identify core proteins for type 1 diabetes. We used summary statistics for single nucleotide polymorphism associations with plasma levels of 5,130 proteins in three large cohorts, including the UK Biobank, to compute genome-wide aggregated trans effects (GATE) scores for protein levels in two type 1 diabetes case-control studies (6,828 case individuals, 416,000 control individuals). GATE scores for 27 proteins were associated with type 1 diabetes. Of these, 14 were replicated between data sets, 11 had support in Mendelian randomization analysis, and 9 had experimental support in mouse models of autoimmune diabetes. The strongest associations were for immune checkpoints (PDCD1, CD5, TIGIT, and LAG3), chemokines, and innate immune system proteins (NCR1 and KLRB1). While PDCD1 is a known cause of monogenic autoimmune diabetes, neither it nor most of the core proteins identified here were previously reported as genome-wide association study hits for type 1 diabetes. These results identify possible drug targets with genetic support for causality and suggest that programmed cell death protein 1 agonists under development for other indications should be trialed for type 1 diabetes prevention. ARTICLE HIGHLIGHTS: Demonstrating genetic evidence for a role of a protein in disease gives important support for its potential as a drug target. We aimed to identify proteins that have genetic evidence to support a causal role in the pathogenesis of type 1 diabetes. We found 27 core proteins had genetic evidence of causality for type 1 diabetes. Top hits included immune checkpoints (PDCD1, CD5, TIGIT, and LAG3) and innate immune system proteins (NCR1 and KLRB1). These results identify possible drug targets and suggest that programmed cell death protein 1 agonists should be trialed for type 1 diabetes prevention.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。