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. Author manuscript; available in PMC: 2011 Aug 1.
Published in final edited form as: Hum Genet. 2010 May 25;128(2):165–177. doi: 10.1007/s00439-010-0841-4

Table 2.

Empirical power of various adjustment strategies in analyzing 2509 causal variants (each designed to achieve 90% power in an unstructured study) in four simulated MEC case-control cancer studies with all 5 ethnic groups

Cancer type Total number of cases1 α Odds ratio range2 Unadjusted Adjusted for race3 Adjusted for 4 PCs Adjusted for 10 PCs

all SNPs 100 P1-CONT4 all SNPs 100 P1-CONT
Colorectal 2000 0.01 1.19-1.48 0.825 0.876 0.872 0.870 0.872 0.871
Lung 600 0.01 1.37-1.98 0.828 0.881 0.872 0.872 0.873 0.872
Lymphoma 300 0.05 1.46-2.22 0.846 0.881 0.877 0.874 0.875 0.874
Leukemia 200 0.05 1.59-2.54 0.857 0.891 0.884 0.877 0.879 0.880
1

Equal number of cases and controls within each ethnic group was assumed. See Table S1 for case fractions across ethnic groups.

2

The range of odds ratios among the simulated causal variants. For each causal variant, odds ratio was calculated to ensure 90% power at significance level α for an unstructured study with the same sample size.

3

Race/ethnicity categories were used.

4

P1-CONT markers were selected to separate Asians, Europeans and Africans.