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. Author manuscript; available in PMC: 2010 Apr 1.
Published in final edited form as: Clin Chim Acta. 2009 Apr;402(1-2):189–192. doi: 10.1016/j.cca.2009.01.011

Table 3.

Monte Carlo Markov chain Logic regression analysis

Two-way interactions
K=3 trees, a=1/√2
Three-way interactions
K=3 trees, a=1/√2

Variant 1 Variant 2 Observed
frequency
Expected
frequency
Ratio Variant 1 Variant 2 Variant 3 Observed
frequency
MMP3 rs3025058d PON1 rs854560r 0.00846 0.00350 2.42 APOA4 rs5110r MMP3 rs3025058d PON1 rs854560r 0.0082
ITGA2 rs1062535d CCR2 rs1799864r 0.00564 0.00002 282.00 CETP rs708272r MMP3 rs3025058d PON1 rs854560r 0.0071
ADRB3 rs4994d TNF rs361525d 0.00545 0.00016 34.06 IL4R rs1801275r MMP3 rs3025058r GC rs7041r 0.0060
CETP rs708272r MMP3 rs3025058d 0.00536 0.00130 4.12 TCF7 rs5742913r GC rs7041r CCR5 rs1799987r 0.0059
MMP3 rs3025058d IL1A rs1800587r 0.00517 0.00151 3.42 CETP rs708272r APOA4 rs5110r MMP3 rs3025058d 0.0051

d, dominant model; r, recessive model; Freq, frequency.