rs10411415 - SBK3
Magnitude 4.5 · 1 study on file
Reported associations
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Integration of -induced single-cell gene expression data and secretory protein concentrations reveal genetic regulators of inflammation. - Frontiers in immunology (2023) · Boahen CK, Oelen R, Le K, Netea MG, Franke L, van der Wijst MGP, Kumar V · PubMed 36865558
Both gene expression and protein concentrations are regulated by genetic variants. Exploring the regulation of both eQTLs and pQTLs simultaneously in a context- and cell-type dependent manner may help to unravel mechanistic basis for genetic regulation of pQTLs. Here, we performed meta-analysis of -induced pQTLs from two population-based cohorts and intersected the results with -induced cell-type specific expression association data (eQTL). This revealed systematic differences between the pQTLs and eQTL, where only 35% of the pQTLs significantly correlated with mRNA expressions at single cell level, indicating the limitation of eQTLs use as a proxy for pQTLs. By taking advantage of the tightly co-regulated pattern of the proteins, we also identified SNPs affecting protein network upon stim
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