Odds ratios and 95% confidence intervals for top-ranked SNPs (p≤0.0001) with either an association with (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, or (iii) HPV persistence: (all models adjusted for age).

<p>Odds ratios and 95% confidence intervals for top-ranked SNPs (p≤0.0001) with either an association with (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, or (iii) HPV persistence: (all models adjusted for age).</p

Significance levels (p values) for gene regions with p≤0.005, for either an association with (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, (iii) HPV persistence.

*<p>FDR for both PRDX3 and RPS19=0.19.</p>†<p>RC=random controls.</p

Association of telomere length with melanoma in 53 melanoma-prone families, stratified by <i>CDKN2A</i> status among cases¹.

1<p>ORs and P-values were obtained from conditional logistic regression with melanoma as the outcome variable. Age at blood draw, gender, DNA source, and solar injury adjustment.</p>2<p>Telomere tertile: Short: <0.53; Medium: 0.53–0.72; Long: >0.72.</p

Distribution of age, gender, <i>CDKN2A</i>, pigmentation phenotype, and sun exposure variables in 53 melanoma-prone families by CMM status.

1<p>P-values were obtained by comparing CMM cases to unaffected individuals using the chi-square test.</p

Association of telomere length with melanoma in 53 melanoma-prone families¹.

1<p>ORs and P-values were obtained from conditional logistic regression with melanoma as the outcome variable.</p>2<p>Telomere tertile: Short: <0.53; Medium: 0.53–0.72; Long: >0.72.</p>3<p>Model 1: age at blood draw, gender, and DNA source adjustment.</p>4<p>Model 2: age at blood draw, gender, DNA source, CDKN2A, and solar injury adjustment.</p>5<p>Model 2: age at blood draw, gender, DNA source, CDKN2A, moles, solar injury, and MC1R adjustment.</p

Distribution of age, gender, <i>CDKN2A</i>, pigmentation phenotype, and sun exposure variables in 53 melanoma-prone families by telomere length, stratified by CMM status.

1<p>P-values were obtained by comparing individuals in the telomere tertiles using a generalized estimating equation accounting for familial correlation in the variance and adjusting for age at blood draw, gender, and DNA source.</p><p>Short: <0.53; Medium: 0.53–0.72; Long: >0.72.</p

Correlations between relative telomere length and age at blood draw in unaffected individuals and CMM cases.

<p><i>P</i> values were obtained from the Spearman correlation test.</p

Gene-based association analysis with the risk of melanoma.

*<p>Based on a meta-analysis of the three case-control studies and one family study. Model was adjusted for age (continous) and sex. Genes ordered from most significant to least significant associations with outcome.</p

Gene-based association analysis and risk of dysplastic nevi and number of nevi in unaffected subjects.

*<p>Based on a meta-analysis of the 3 case-control studies and the family study. Model was adjusted for age (continous) and sex.</p>**<p>Based on a meta-analysis of case-control study and the family study using Poisson regression with robust variance. Model was adjusted for age (continous) and sex and interaction between age and SNP genotype. Genes ordered from the most to the least significant P-value.</p

Distribution of characteristics of study subjects.

<p>Numbers might no add to totals due to missing values. Data might not add up to 100% because of rounding.</p>*<p>Not measured in the family study.</p