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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Stat Biosci. 2012 Nov 1;4(2):319–338. doi: 10.1007/s12561-012-9072-7

Table 3.

Results of the sparse association methods applied to studying the air particulate matter effects on gene methylations in the asthma pathway in the Normative Aging Study. The estimated loadings of the genes and the exposures are provided, as well as the estimated canonical correlations and the P-values. The P-values were calculated using the proposed permutation and Wilks’ Λ statistic test procedure. All the methods used CIC as the model selection criteria. The last two columns report the P-values of the F-test and the correlation coefficient (R) of individual gene regression on the two exposures.

Gene SOS-CCA step-CCA PMA ind P-value ind cor
HLA-DMA – – 0.31 – – 0.30 0.16
HLA-DPA1 – – −0.32 – – 0.38 0.15
HLA-DPB1 – – −0.24 – – 0.64 0.10
HLA-DRA – – 0.32 – – 0.07 0.24
HLA-DRB5 – – – – 0.55 *0.01 0.30
FCER1G −0.47 −0.30 −0.44 *0.01 0.30
IL5 0.50 0.45 0.60 **0.001 0.38
RNASE3 – – −0.30 – – 0.24 0.18
CCL11 0.58 0.58 0.38 *0.02 0.36

Sulfate 1.01 1.06 0.90
Black Carbon −0.04 −0.22 0.42

Estimated Correlation 0.48 0.61 0.48
P-value 0.03 0.02 0.01