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. 2022 Jan 26;12:38. doi: 10.1038/s41398-022-01811-6

Table 3.

Main effects of polygenic risk scores on immune markersa.

Immune marker df F-ratio P value ηp2 PP changec
Total sample
 PRS-PSOR sgp130 1,1118 5.86 0.02 0.005 −0.2
 PRS-ANX sIL-2R 1,1050 5.19 0.02 0.005 0.6
IL-18 1,1520 4.77 0.03 0.003 −2.0
 PRS-EA IL-1Ra 1,1087 6.46 0.01 0.006 0.0
sIL-2R 1,1050 4.79 0.03 0.005 0.0
IL-18 1,1520 6.93 0.01 0.005 −0.7
Subsample SCZ-HCb
 PRS-PSOR sgp130 1,885 4.95 0.03 0.006 −0.2
 PRS-ANX IL-18 1,1196 3.92 0.05 0.003 −2.1
 PRS-EA IL-1Ra 1,861 4.09 0.04 0.005 0.4
IL-18 1,1196 5.89 0.02 0.005 −0.4
Subsample BD–HCb
 PRS-EA IL-1Ra 1,709 7.27 0.01 0.010 −0.2
IL-18 1,1065 5.20 0.02 0.005 −0.6

ANX anxiety, BD bipolar spectrum disorders, df degrees freedom, EA educational attainment, IL-18 interleukin-18, IL-1Ra interleukin-1 receptor antagonist, ηp2 partial eta squared, PP percentage points, PRS polygenic risk score, PSOR psoriasis, SCZ schizophrenia spectrum disorders, sIL-2R soluble interleukin-2 receptor, sgp130 soluble glycoprotein 130.

aIndependent variables: PRS, age, sex, freezer storage time, patients vs healthy controls, genetic principal components 1 and 2 and genetic batch; dependent variables: immune markers.

bSubsample SCZ-HC: participants with schizophrenia spectrum disorders and healthy controls; subsample BD–HC: participants with bipolar spectrum disorders and healthy controls.

cPercentage points change in immune marker plasma-level difference between diagnostic subgroups and healthy controls by adding PRS to the statistical model.