Supplementary Tables S1-3. Supplementary Table S1 Description of the characteristics by study. Supplementary Table S2 Associations between confounders and body mass index and the weighted genetic risk score among controls. Supplementary Table S3 Odds ratios (OR) and 95% confidence intervals (CI) for the association between a 1-unit increase in the weighted genetic risk score (the instrumental variable [IV]) and risk of colorectal cancer.

Supplemental Table 3. Environmental Factors and colorectal cancer: associations by study design

Supplementary Figure 1 from Haplotype and Cell Proliferation Analyses of Candidate Lung Cancer Susceptibility Genes on Chromosome 15q24-25.1

PDF - 27KB, Percentage of CEC associated papers by scientific area.

Provides an overview of the methods for each of the included studies

Supplementary Table S1. Descriptive factors for KP study population, broken down by study. Supplementary Table S2. Genome-wide significant SNPs found in our cohort. Supplementary Table S3. Cis-eQTL expression of rs4646284. Supplementary Table S4. Results at the 105 loci previously found to be associated with prostate cancer. Supplementary Table S5. Risk score of and variance explained by the 105 previously reported hits. Supplementary Figure S1. Manhattan and Q-Q plots of each race/ethnicity and meta-analysis. Supplementary Figure S2. Local plots of novel replicated rs4646284 and suggestive rs2659124. Supplementary Figure S3. Cis-eQTL of SLC22A1 and SLC22A3. Supplementary Figure S4. Comparison of ORs of KP to previous reports by race/ethnicity. Supplementary Figure S5. KP AUC estimates.

Translation on this Article from Fine Mapping of Chromosome 6q23-25 Region in Familial Lung Cancer Families Reveals RGS17 as a Likely Candidate Gene

Supplementary Figure 1, Tables 1-4 from A Second Genetic Variant on Chromosome 15q24-25.1 Associates with Lung Cancer

PDF file - 59K, The description of studies included in this pooled analysis

<p>Supplementary Table 1. Number of cohorts with participants from the catchment area. The catchment areas are defined as the geographical location from where participants are recruited. Supplementary Figure 1. Breakdown of NCI-awarded grants to participating cohorts. A) Funding mechanism of awarded grants, shown as percent of total NCI awarded grants (n=407). B) Categorization of investigator initiated grants funded by NCI, shown as percent of R-series awarded grants (n=283). Supplementary Figure 2. Distribution of NCI-funded grants (n=407) categorized by cancer activity code. Data retrieved from Portfolio Management Application (PMA) 16.1 on Wednesday August 19, 2015.</p>

Top independently associated SNPs from the TRICL lung cancer GWAS meta-analysis.

Contains more detailed information on the individual cohorts contributing to the study and their genotyping results; Supplemental Tables 1 and 2

PDF - 121KB, Exclusion Criteria for Scoring by Scientific Area and Translational Stage, Comparison of Translational Stage of CEC versus non-CEC associated cancer genetics papers, Acknowledgement of CEC contributions in associated papers. Table 1: Scientific areas, their definitions, and examples from the literature analysis. Table 2: Acknowledgment CEC contributions in 472 papers, associated with 4 established CEC, by acknowledgement type.

Supplementary Figure 1 from Identification of a Novel Tumor Suppressor Gene p34 on Human Chromosome 6q25.1

PDF - 45KB, Number of CEC papers in sub-areas of genomics by year.

Purpose The incidence of colorectal cancer (CRC) is rising in people under age 50 (early-onset). Early-onset survivors face CRC during a critical point in their lives; many are establishing their families and careers. We sought to identify the unmet needs in a sample of early-onset CRC survivors and the resources they desired to address those needs. Methods We conducted a mixed methods study where participants completed the Cancer Survivors Unmet Needs (CaSUN) survey and a subsequent qualitative interview to expand on their unmet needs and desired resources. Results A total of 12 CRC survivors participated and 83% identified at least one unmet need, with an average of 13 unmet needs reported. Unmet needs were identified across every domain of the CaSUN measure, most commonly in the existential survivorship domain. Qualitative results demonstrated that survivors need more resources tailored for people their age and additional support for their families, including young children. Conclusion Early-onset CRC survivors’ needs are framed by the stage of their lives in which they are diagnosed, and the demand for interventions to support these survivors will continue to rise. The results of this study can inform future, tailored interventions for early-onset CRC survivors with substantial needs.

PDF - 27KB, Percentage of CEC papers published each year that are linkage studies or GWAS.

Supplementary Tables 1-7 from Cumulative Effect of Multiple Loci on Genetic Susceptibility to Familial Lung Cancer

PDF file - 135K, Forest plot for the association between time since quit smoking and risk of colorectal cancer

PDF - 132KB, Fraction of small and large CEC and non-CEC associated grants by year.