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Additional Supporting Information may be found in the online version of this article.

FilenameFormatSizeDescription
IJC_23801_sm_SuppFigures1to5.doc133KSupporting Information Figure 1. ERCC2 linkage disequilibrium plot, Latinos, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Figure 2. ERCC2 linkage disequilibrium plot, African Americans, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Figure 3. LIG1 linkage disequilibrium plot, Latinos, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Figure 4. LIG1 linkage disequilibrium plot, African Americans, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Figure 5. Multifactor dimensionality reduction analysis for Latinos, the best combination with smoking and three SNPs (rs171140, rs17655, and rs20581), the San Francisco Bay Area Lung Cancer Study 1998–2003*
IJC_23801_sm_SuppTables1to6.doc212KSupporting Information Table 1. Allele frequency and testing of Hardy-Weinberg equilibrium of the 18 nucleotide excision repair SNPs, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Table 2. Multifactor dimensionality reduction analysis for African Americans (15 SNPs of NER pathway) (N=515)1, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Table 3. Principal components analysis of the ERCC2 SNPs among Latino cases and controls: rotated component loading (varimax rotation) representing the correlation between individual SNP and the scores of the two principal components selected (representing 90% of the variance), and the risk of lung cancer associated with each principal component, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Table 4. Principal components analysis of the LIG1 SNPs among Latino cases and controls: rotated component loading (varimax rotation) representing the correlation between individual SNP and the scores of the three principal components selected (representing 95% of the variance), and the risk of lung cancer associated with each principal component, San Francisco Bay Area Minority Lung Cancer Study 1998–2003. Supporting Information Table 5. Principal components analysis of the ERCC2 SNPs among African American cases and controls: rotated component loading (varimax rotation) representing the correlation between individual SNP and the scores of the two principal components selected (representing 82% of the variance), and the risk of lung cancer associated with each principal component, the San Francisco Bay Area Lung Cancer Study 1998–2003. Supporting Information Table 6. Principal components analysis of the LIG1 SNPs among African American cases and controls: rotated component loading (varimax rotation) representing the correlation between individual SNP and the scores of the three principal components selected (representing 90% of the variance), and the risk of lung cancer associated with each principal component, the San Francisco Bay Area Lung Cancer Study 1998–2003

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