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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Mol Psychiatry. 2015 Aug 4;21(5):601–607. doi: 10.1038/mp.2015.105

Table 3.

Variation in nicotine dependence risk explained by selected variants in primary sample

Variant Class Variant European Americans (n=1432) African Americans (n=1388)

MAF R2 p-value MAF R2 p-value
Common rs16969968 0.355 1.0% 0.001 0.058 0.4% 0.04

Low Frequency rs2229961 0.016 0.4% 0.03 0.002 0.1% 0.24

rs80087508 0 . . 0.014 0.3% 0.07

rs79109919 0.0003 0.2% 0.15 0.057 0.1% 0.34

Rare aggregate term 0.005 1.0% 0.0009 0.009 0.1% 0.37

All CHRNA5 genetic terms 2.4% 5.5 ×10−5 1.0% 0.07

This table shows the variance explained by each individual variant and aggregate term by itself, as well as the variance explained by all CHRNA5 genetic variants examined jointly in the final model. This final model includes rs16969968, rs2229961, rs800087508, rs79109919, and the aggregate rare variant term;

R2 is the Nagelkerke’s adjusted R2 difference from logistic regression, comparing the base model with intercept, sex, age, and ancestry specific PCs to models with genetic variants;

p-values calculated by taking the difference between the -2logliklihoods in the base model and those with variants as a chi-square statistic.