paperKB
coga / coga-kb
Help
Sign in

Chunk #26 — Results — eQTSs identify potential driver genes for polygenic traits

Source
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression.
Embedded
yes

Text

Most eQTS associations (72.8%) represented blood-cell traits (Extended Data Figure 3, Supplementary Data 5). For instance, the PGS for mean corpuscular volume40 correlated positively with the expression of genes specifically expressed in erythrocytes, e.g. genes encoding hemoglobin subunits (HBG1 and HBG2, both FDR<0.05). eQTS genes were most enriched by GO terms involved in cellular secretion, blood cell traits and intercellular signaling (Supplementary Table 14).