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Table 2 Real data application. GxE interaction analysis in GINIplus between a GRS of three GSTP1 & TNF SNPs and air pollution exposure (NO2) with parents reported physician-diagnosed asthma from birth to 7–8 years of age

From: Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies

  

Weights for GRS

GRSxE interaction

 

N

GSTP1 rs1138272

GSTP1 rs1695

TNF rs1800629

ORa

p-value

GRS with weights from pooled marginal genetic effectsb

593

ln(1.49) ≈ 0.40

ln(0.91) ≈ −0.09

ln(1.04) ≈ 0.04

16.31

0.004

GRS-marginal-internalc

593

0.69

−0.09

0.00

8.83

0.004

GRS-interaction-training (1:1)d,e

296

0.63

0.00

0.00

9.71

0.028

GRS-interaction-training (1:2)d,f

395

0.64

0.00

0.00

9.24

0.014

GRS-interaction-training (1:3)d,g

444

0.85

0.00

0.00

7.34

0.007

  1. aOR and p-values for the interaction effects. Adjusted for study, city, intervention, infant sex, maternal age at birth, maternal smoking during pregnancy, environmental tobacco smoke in the home, and parental atopy. bPooled data from BAMSE, CAPPS, GINIplus, LISAplus, SAGE and PIAMA; ln(ORs) as published in MacIntyre et al. (2014) were used as weights (compare Table 1). cestimated in GINIplus within this publication, estimates from the elastic net regression (α = 0.5) for the marginal genetic effects in GINIplus. dWeights from the interaction term itself when using parts of the data to estimate the weights and the remaining data to determine the GRS. eBalance training vs. test data 1:1. fBalance training vs. test data 1:2. gBalance training vs. test data 1:3