medRxivGenetic & Genomic MedicinePreprint
Beyond the classical plasma secretome: genetic architecture and disease associations of the expanded human plasma proteome in 13,445 Europeans
Solène CadiouiD, Eva KönigiD, Alessia MapelliiD, Giulia PontaliiD, Dariush Ghasemi-SemeskandehiD, Michele FilosiiD, Brian R. FerolitoiD, Michela Carlotta MassiiD, Gianmauro CuccuruiD, Xiyun JiangiD, Giovanna Winicki, Albert Navarro-GallinadiD, Kai Gravel-PucilloiD, Nicola PirastuiD, Arianna LandiniiD, Sodbo SharapoviD, Johannes RaineriD, Martin GögeleiD, Rebecca LundiniD, Deborah MascalzoniiD, Roberta BiasiottoiD, Hagen BlankenburgiD, Alessandro De GrandiiD, Clemens Egger, Lis ArendiD, , Adam S. ButterworthiD
Abstract
Circulating plasma proteins are key biomarkers and therapeutic targets, now measurable at scale through high-throughput technologies, yet whether expanding proteomics platforms beyond the classical plasma secretome enhances genetic discovery and causal inference remains poorly understood. Here, we use an expanded SomaScan 7k platform to map the genetic architecture of a broader segment of the plasma proteome and to evaluate how proteome expansion affects pQTL discovery, causal inference and therapeutic target prioritisation. After quality control, we analysed 7,144 aptamers targeting 6,267 proteins in the harmonised dataset of two European cohorts: INTERVAL (n = 9,251 participants) and CHRIS (n = 4,194), and conducted genome-wide pQTL association analyses followed by meta-analysis. We identified 7,870 significant pQTLs (P-value 1.2 million), we identified 6,340 genetically supported protein-trait associations, highlighting disease mechanisms and potential therapeutic opportunities beyond currently drug-targeted circulating proteins. Together, these findings provide a systematic view of the genetic architecture of the expanded plasma proteome and demonstrate that plasma proteome expansion reveals genetically anchored disease biology beyond the classical secretome, while exposing inherent biological and technical constraints of studying low-abundance intracellular proteins in circulation.
- organism: human
- assay: proteomics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
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