Genetic profiling of the circulating proteome in common diseases suggests causal proteins and improves risk prediction.

ABSTRACT: Elucidating the genetic regulation of protein expression in specific disease states is important for understanding how genetic variation impact disease pathology. To this end, we conduct a large-scale genome-proteome-wide pQTL analysis on 2901 plasma proteins among 7626 healthy individuals and 28,064 patients across 42 disease statuses. We find 25,987 independent pQTL associations across 2224 regions, and investigate similarities and differences in their regulatory effects across various diseases and health states. We find that pQTL identified in specific diseases are more likely to be disease risk variants. We then integrate the association findings with Mendelian randomisation to identify 110 high-confidence causal proteins associated with 21 diseases, including Apolipoprotein(a) for car

SUBMITTER: Ma Q 

PROVIDER: S-EPMC12804750 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature