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49 results on '"Jenkins, Mark"'

1. Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature

Author

Thomas, Claire E., primary, Georgeson, Peter, additional, Qu, Conghui, additional, Steinfelder, Robert S., additional, Buchanan, Daniel D., additional, Song, Mingyang, additional, Harrison, Tabitha A., additional, Um, Caroline Y., additional, Hullar, Meredith A., additional, Jenkins, Mark A., additional, Van Guelpen, Bethany, additional, Lynch, Brigid M., additional, Melaku, Yohannes Adama, additional, Huyghe, Jeroen R., additional, Aglago, Elom K., additional, Berndt, Sonja I., additional, Boardman, Lisa A., additional, Campbell, Peter T., additional, Cao, Yin, additional, Chan, Andrew T., additional, Drew, David A., additional, Figueiredo, Jane C., additional, French, Amy J., additional, Giannakis, Marios, additional, Goode, Ellen L., additional, Gruber, Stephen B., additional, Gsur, Andrea, additional, Gunter, Marc J., additional, Hoffmeister, Michael, additional, Hsu, Li, additional, Huang, Wen-Yi, additional, Moreno, Victor, additional, Murphy, Neil, additional, Newcomb, Polly A., additional, Newton, Christina C., additional, Nowak, Jonathan A., additional, Obón-Santacana, Mireia, additional, Ogino, Shuji, additional, Sun, Wei, additional, Toland, Amanda E., additional, Trinh, Quang M., additional, Ugai, Tomotaka, additional, Zaidi, Syed H., additional, Peters, Ulrike, additional, and Phipps, Amanda I., additional

Published
2024
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2. Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Author

Lai, John, primary, Wong, Chi Kuen, additional, Schmidt, Daniel F., additional, Kapuscinski, Miroslaw K., additional, Alpen, Karen, additional, MacInnis, Robert J., additional, Buchanan, Daniel D., additional, Win, Aung K., additional, Figueiredo, Jane C., additional, Chan, Andrew T., additional, Harrison, Tabitha A., additional, Hoffmeister, Michael, additional, White, Emily, additional, Le Marchand, Loic, additional, Pai, Rish K., additional, Peters, Ulrike, additional, Hopper, John L., additional, Jenkins, Mark A., additional, and Makalic, Enes, additional

Published
2023
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3. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response

Author

Carreras-Torres, Robert, primary, Kim, Andre E., additional, Lin, Yi, additional, Díez-Obrero, Virginia, additional, Bien, Stephanie A., additional, Qu, Conghui, additional, Wang, Jun, additional, Dimou, Niki, additional, Aglago, Elom K., additional, Albanes, Demetrius, additional, Arndt, Volker, additional, Baurley, James W., additional, Berndt, Sonja I., additional, Bézieau, Stéphane, additional, Bishop, D. Timothy, additional, Bouras, Emmanouil, additional, Brenner, Hermann, additional, Budiarto, Arif, additional, Campbell, Peter T., additional, Casey, Graham, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Chen, Xuechen, additional, Conti, David V., additional, Dampier, Christopher H., additional, Devall, Matthew A.M., additional, Drew, David A., additional, Figueiredo, Jane C., additional, Gallinger, Steven, additional, Giles, Graham G., additional, Gruber, Stephen B., additional, Gsur, Andrea, additional, Gunter, Marc J., additional, Harrison, Tabitha A., additional, Hidaka, Akihisa, additional, Hoffmeister, Michael, additional, Huyghe, Jeroen R., additional, Jenkins, Mark A., additional, Jordahl, Kristina M., additional, Kawaguchi, Eric, additional, Keku, Temitope O., additional, Kundaje, Anshul, additional, Le Marchand, Loic, additional, Lewinger, Juan Pablo, additional, Li, Li, additional, Mahesworo, Bharuno, additional, Morrison, John L., additional, Murphy, Neil, additional, Nan, Hongmei, additional, Nassir, Rami, additional, Newcomb, Polly A., additional, Obón-Santacana, Mireia, additional, Ogino, Shuji, additional, Ose, Jennifer, additional, Pai, Rish K., additional, Palmer, Julie R., additional, Papadimitriou, Nikos, additional, Pardamean, Bens, additional, Peoples, Anita R., additional, Pharoah, Paul D.P., additional, Platz, Elizabeth A., additional, Rennert, Gad, additional, Ruiz-Narvaez, Edward, additional, Sakoda, Lori C., additional, Scacheri, Peter C., additional, Schmit, Stephanie L., additional, Schoen, Robert E., additional, Shcherbina, Anna, additional, Slattery, Martha L., additional, Stern, Mariana C., additional, Su, Yu-Ru, additional, Tangen, Catherine M., additional, Thomas, Duncan C., additional, Tian, Yu, additional, Tsilidis, Konstantinos K., additional, Ulrich, Cornelia M., additional, van Duijnhoven, Fränzel J.B., additional, Van Guelpen, Bethany, additional, Visvanathan, Kala, additional, Vodicka, Pavel, additional, Cenggoro, Tjeng Wawan, additional, Weinstein, Stephanie J., additional, White, Emily, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Hsu, Li, additional, Peters, Ulrike, additional, Moreno, Victor, additional, and Gauderman, W. James, additional

Published
2023
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4. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort

Author

Su, Yu-Ru, primary, Sakoda, Lori C., additional, Jeon, Jihyoun, additional, Thomas, Minta, additional, Lin, Yi, additional, Schneider, Jennifer L., additional, Udaltsova, Natalia, additional, Lee, Jeffrey K., additional, Lansdorp-Vogelaar, Iris, additional, Peterse, Elisabeth F.P., additional, Zauber, Ann G., additional, Zheng, Jiayin, additional, Zheng, Yingye, additional, Hauser, Elizabeth, additional, Baron, John A., additional, Barry, Elizabeth L., additional, Bishop, D. Timothy, additional, Brenner, Hermann, additional, Buchanan, Daniel D., additional, Burnett-Hartman, Andrea, additional, Campbell, Peter T., additional, Casey, Graham, additional, Castellví-Bel, Sergi, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Figueiredo, Jane C., additional, Gallinger, Steven J., additional, Giles, Graham G., additional, Gruber, Stephen B., additional, Gsur, Andrea, additional, Gunter, Marc J., additional, Hampe, Jochen, additional, Hampel, Heather, additional, Harrison, Tabitha A., additional, Hoffmeister, Michael, additional, Hua, Xinwei, additional, Huyghe, Jeroen R., additional, Jenkins, Mark A., additional, Keku, Temitope O., additional, Marchand, Loic Le, additional, Li, Li, additional, Lindblom, Annika, additional, Moreno, Victor, additional, Newcomb, Polly A., additional, Pharoah, Paul D.P., additional, Platz, Elizabeth A., additional, Potter, John D., additional, Qu, Conghui, additional, Rennert, Gad, additional, Schoen, Robert E., additional, Slattery, Martha L., additional, Song, Mingyang, additional, van Duijnhoven, Fränzel J.B., additional, Van Guelpen, Bethany, additional, Vodicka, Pavel, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Wu, Anna H., additional, Hayes, Richard B., additional, Peters, Ulrike, additional, Corley, Douglas A., additional, and Hsu, Li, additional

Published
2023
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5. Large-scale integrated analysis of genetics and metabolomic data reveals potential links between lipids and colorectal cancer risk

Author

Shu, Xiang, primary, Chen, Zhishan, additional, Long, Jirong, additional, Guo, Xingyi, additional, Yang, Yaohua, additional, Qu, Conghui, additional, Ahn, Yoon-Ok, additional, Cai, Qiuyin, additional, Casey, Graham, additional, Gruber, Stephen B., additional, Huyghe, Jeroen R., additional, Jee, Sun Ha, additional, Jenkins, Mark A., additional, Jia, Wei-Hua, additional, Jung, Keum Ji, additional, Kamatani, Yoichiro, additional, Kim, Dong-Hyun, additional, Kim, Jeongseon, additional, Kweon, Sun-Seog, additional, Le Marchand, Loic, additional, Matsuda, Koichi, additional, Matsuo, Keitaro, additional, Newcomb, Polly A., additional, Oh, Jae Hwan, additional, Ose, Jennifer, additional, Oze, Isao, additional, Pai, Rish K., additional, Pan, Zhi-Zhong, additional, Pharoah, Paul D P., additional, Playdon, Mary C., additional, Ren, Ze-Fang, additional, Schoen, Robert E., additional, Shin, Aesun, additional, Shin, Min-Ho, additional, Shu, Xiao-Ou, additional, Sun, Xiaohui, additional, Tangen, Catherine M., additional, Tanikawa, Chizu, additional, Ulrich, Cornelia M., additional, van Duijnhoven, Fränzel J B., additional, Van Guelpen, Bethany, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Wu, Anna H., additional, Peters, Ulrike, additional, and Zheng, Wei, additional

Published
2022
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6. Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region

Author

Jordahl, Kristina M., primary, Shcherbina, Anna, additional, Kim, Andre E., additional, Su, Yu-Ru, additional, Lin, Yi, additional, Wang, Jun, additional, Qu, Conghui, additional, Albanes, Demetrius, additional, Arndt, Volker, additional, Baurley, James W., additional, Berndt, Sonja I., additional, Bien, Stephanie A., additional, Bishop, D. Timothy, additional, Bouras, Emmanouil, additional, Brenner, Hermann, additional, Buchanan, Daniel D., additional, Budiarto, Arif, additional, Campbell, Peter T., additional, Carreras-Torres, Robert, additional, Casey, Graham, additional, Cenggoro, Tjeng Wawan, additional, Chan, Andrew T., additional, Conti, David V., additional, Dampier, Christopher H., additional, Devall, Matthew A., additional, Díez-Obrero, Virginia, additional, Dimou, Niki, additional, Drew, David A., additional, Figueiredo, Jane C., additional, Gallinger, Steven, additional, Giles, Graham G., additional, Gruber, Stephen B., additional, Gsur, Andrea, additional, Gunter, Marc J., additional, Hampel, Heather, additional, Harlid, Sophia, additional, Harrison, Tabitha A., additional, Hidaka, Akihisa, additional, Hoffmeister, Michael, additional, Huyghe, Jeroen R., additional, Jenkins, Mark A., additional, Joshi, Amit D., additional, Keku, Temitope O., additional, Larsson, Susanna C., additional, Le Marchand, Loic, additional, Lewinger, Juan Pablo, additional, Li, Li, additional, Mahesworo, Bharuno, additional, Moreno, Victor, additional, Morrison, John L., additional, Murphy, Neil, additional, Nan, Hongmei, additional, Nassir, Rami, additional, Newcomb, Polly A., additional, Obón-Santacana, Mireia, additional, Ogino, Shuji, additional, Ose, Jennifer, additional, Pai, Rish K., additional, Palmer, Julie R., additional, Papadimitriou, Nikos, additional, Pardamean, Bens, additional, Peoples, Anita R., additional, Pharoah, Paul D.P., additional, Platz, Elizabeth A., additional, Potter, John D., additional, Prentice, Ross L., additional, Rennert, Gad, additional, Ruiz-Narvaez, Edward, additional, Sakoda, Lori C., additional, Scacheri, Peter C., additional, Schmit, Stephanie L., additional, Schoen, Robert E., additional, Slattery, Martha L., additional, Stern, Mariana C., additional, Tangen, Catherine M., additional, Thibodeau, Stephen N., additional, Thomas, Duncan C., additional, Tian, Yu, additional, Tsilidis, Konstantinos K., additional, Ulrich, Cornelia M., additional, van Duijnhoven, Franzel J.B., additional, Van Guelpen, Bethany, additional, Visvanathan, Kala, additional, Vodicka, Pavel, additional, White, Emily, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Wu, Anna H., additional, Zemlianskaia, Natalia, additional, Chang-Claude, Jenny, additional, Gauderman, W. James, additional, Hsu, Li, additional, Kundaje, Anshul, additional, and Peters, Ulrike, additional

Published
2022
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7. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.

Author

Xiang Shu, Zhishan Chen, Jirong Long, Xingyi Guo, Yaohua Yang, Conghui Qu, Yoon-Ok Ahn, Qiuyin Cai, Casey, Graham, Gruber, Stephen B., Huyghe, Jeroen R., Sun Ha Jee, Jenkins, Mark A., Wei-Hua Jia, Keum Ji Jung, Yoichiro Kamatani, Dong-Hyun Kim, Jeongseon Kim, Sun-Seog Kweon, and Le Marchand, Loic

Abstract

Background: The etiology of colorectal cancer is not fully understood. Methods: Using genetic variants and metabolomics data including 217 metabolites from the Framingham Heart Study (n = 1,357), we built genetic prediction models for circulating metabolites. Models with prediction R2 > 0.01 (Nmetabolite = 58) were applied to predict levels of metabolites in two large consortia with a combined sample size of approximately 46,300 cases and 59,200 controls of European and approximately 21,700 cases and 47,400 controls of East Asian (EA) descent. Genetically predicted levels of metabolites were evaluated for their associations with colorectal cancer risk in logistic regressions within each racial group, after which the results were combined by meta-analysis. Results: Of the 58 metabolites tested, 24 metabolites were significantly associated with colorectal cancer risk [Benjamini-Hochberg FDR (BH-FDR) < 0.05] in the European population (ORs ranged from 0.91 to 1.06; P values ranged from 0.02 to 6.4 × 10-8). Twenty one of the 24 associations were replicated in the EA population (ORs ranged from 0.26 to 1.69, BH-FDR < 0.05). In addition, the genetically predicted levels of C16:0 cholesteryl ester was significantly associated with colorectal cancer risk in the EA population only (OREA: 1.94, 95% CI, 1.60-2.36, P = 2.6 × 10-11; OREUR: 1.01, 95% CI, 0.99-1.04, P = 0.3). Nineteen of the 25 metabolites were glycerophospholipids and triacylglycerols (TAG). Eighteen associations exhibited significant heterogeneity between the two racial groups (PEUR-EA-Het < 0.005), which were more strongly associated in the EA population. This integrative study suggested a potential role of lipids, especially certain glycerophospholipids and TAGs, in the etiology of colorectal cancer. Conclusions: This study identified potential novel risk biomarkers for colorectal cancer by integrating genetics and circulating metabolomics data. Impact: The identified metabolites could be developed into new tools for risk assessment of colorectal cancer in both European and EA populations. [ABSTRACT FROM AUTHOR]

Published
2022
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8. Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer

Author

Matejcic, Marco, primary, Shaban, Hiba A., additional, Quintana, Melanie W., additional, Schumacher, Fredrick R., additional, Edlund, Christopher K., additional, Naghi, Leah, additional, Pai, Rish K., additional, Haile, Robert W., additional, Levine, A. Joan, additional, Buchanan, Daniel D., additional, Jenkins, Mark A., additional, Figueiredo, Jane C., additional, Rennert, Gad, additional, Gruber, Stephen B., additional, Li, Li, additional, Casey, Graham, additional, Conti, David V., additional, and Schmit, Stephanie L., additional

Published
2021
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9. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk

Author

Wang, Xiaoliang, primary, Su, Yu-Ru, additional, Petersen, Paneen S., additional, Bien, Stephanie, additional, Schmit, Stephanie L., additional, Drew, David A., additional, Albanes, Demetrius, additional, Berndt, Sonja I., additional, Brenner, Hermann, additional, Campbell, Peter T., additional, Casey, Graham, additional, Chang-Claude, Jenny, additional, Gallinger, Steven J., additional, Gruber, Stephen B., additional, Haile, Robert W., additional, Harrison, Tabitha A., additional, Hoffmeister, Michael, additional, Jacobs, Eric J., additional, Jenkins, Mark A., additional, Joshi, Amit D., additional, Li, Li, additional, Lin, Yi, additional, Lindor, Noralane M., additional, Marchand, Loïc Le, additional, Martin, Vicente, additional, Milne, Roger, additional, Maclnnis, Robert, additional, Moreno, Victor, additional, Nan, Hongmei, additional, Newcomb, Polly A., additional, Potter, John D., additional, Rennert, Gad, additional, Rennert, Hedy, additional, Slattery, Martha L., additional, Thibodeau, Steve N., additional, Weinstein, Stephanie J., additional, Woods, Michael O., additional, Chan, Andrew T., additional, White, Emily, additional, Hsu, Li, additional, and Peters, Ulrike, additional

Published
2020
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10. Mendelian Randomization of Circulating Polyunsaturated Fatty Acids and Colorectal Cancer Risk

Author

Khankari, Nikhil K., primary, Banbury, Barbara L., additional, Borges, Maria C., additional, Haycock, Philip, additional, Albanes, Demetrius, additional, Arndt, Volker, additional, Berndt, Sonja I., additional, Bézieau, Stéphane, additional, Brenner, Hermann, additional, Campbell, Peter T., additional, Casey, Graham, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Conti, David V., additional, Cotterchio, Michelle, additional, English, Dallas R., additional, Figueiredo, Jane C., additional, Giles, Graham G., additional, Giovannucci, Edward L., additional, Gunter, Marc J., additional, Hampe, Jochen, additional, Hoffmeister, Michael, additional, Hopper, John L., additional, Jenkins, Mark A., additional, Joshi, Amit D., additional, Marchand, Loic Le, additional, Lemire, Mathieu, additional, Li, Christopher I., additional, Li, Li, additional, Lindblom, Annika, additional, Martín, Vicente, additional, Moreno, Victor, additional, Newcomb, Polly A., additional, Offit, Kenneth, additional, Pharoah, Paul D.P., additional, Rennert, Gad, additional, Sakoda, Lori C., additional, Schafmayer, Clemens, additional, Schmit, Stephanie L., additional, Slattery, Martha L., additional, Song, Mingyang, additional, Thibodeau, Stephen N., additional, Ulrich, Cornelia M., additional, Weinstein, Stephanie J., additional, White, Emily, additional, Win, Aung Ko, additional, Wolk, Alicja, additional, Woods, Michael O., additional, Wu, Anna H., additional, Cai, Qiuyin, additional, Denny, Joshua C., additional, Edwards, Todd L., additional, Murff, Harvey J., additional, Gruber, Stephen B., additional, Peters, Ulrike, additional, and Zheng, Wei, additional

Published
2020
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11. A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors

Author

Zheng, Yingye, primary, Hua, Xinwei, additional, Win, Aung K., additional, MacInnis, Robert J., additional, Gallinger, Steven, additional, Marchand, Loic Le, additional, Lindor, Noralane M., additional, Baron, John A., additional, Hopper, John L., additional, Dowty, James G., additional, Antoniou, Antonis C., additional, Zheng, Jiayin, additional, Jenkins, Mark A., additional, and Newcomb, Polly A., additional

Published
2020
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13. Genetically Predicted Circulating C-Reactive Protein Concentration and Colorectal Cancer Survival: A Mendelian Randomization Consortium Study.

Author

Xinwei Hua, Dai, James Y., Lindström, Sara, Harrison, Tabitha A., Yi Lin, Alberts, Steven R., Alwers, Elizabeth, Berndt, Sonja I., Brenner, Hermann, Buchanan, Daniel D., Campbell, Peter T., Casey, Graham, Chang-Claude, Jenny, Gallinger, Steven, Giles, Graham G., Goldberg, Richard M., Gunter, Marc J., Hoffmeister, Michael, Jenkins, Mark A., and Joshi, Amit D.

Abstract

Background: A positive association between circulating C-reactive protein (CRP) and colorectal cancer survival was reported in observational studies, which are susceptible to unmeasured confounding and reverse causality. We used a Mendelian randomization approach to evaluate the association between genetically predicted CRP concentrations and colorectal cancer-specific survival. Methods: We used individual-level data for 16,918 eligible colorectal cancer cases of European ancestry from 15 studies within the International Survival Analysis of Colorectal Cancer Consortium. We calculated a genetic-risk score based on 52 CRP-associated genetic variants identified from genome-wide association studies. Because of the non-collapsibility of hazard ratios from Cox proportional hazards models, we used the additive hazards model to calculate hazard differences (HD) and 95% confidence intervals (CI) for the association between genetically predicted CRP concentrations and colorectal cancer-specific survival, overall and by stage at diagnosis and tumor location. Analyses were adjusted for age at diagnosis, sex, body mass index, genotyping platform, study, and principal components. Results: Of the 5,395 (32%) deaths accrued over up to 10 years of follow-up, 3,808 (23%) were due to colorectal cancer. Genetically predicted CRP concentration was not associated with colorectal cancer-specific survival (HD, -1.15; 95% CI, -2.76 to 0.47 per 100,000 person-years; P = 0.16). Similarly, no associations were observed in subgroup analyses by stage at diagnosis or tumor location. Conclusions: Despite adequate power to detect moderate associations, our results did not support a causal effect of circulating CRP concentrations on colorectal cancer-specific survival. Impact: Future research evaluating genetically determined levels of other circulating inflammatory biomarkers (i.e., IL6) with colorectal cancer survival outcomes is needed. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Benefits, Harms, and Cost-Effectiveness of Potential Age Extensions to the National Bowel Cancer Screening Program in Australia

Author

Lew, Jie-Bin, primary, St John, D. James B., additional, Macrae, Finlay A., additional, Emery, Jon D., additional, Ee, Hooi C., additional, Jenkins, Mark A., additional, He, Emily, additional, Grogan, Paul, additional, Caruana, Michael, additional, Greuter, Marjolein J.E., additional, Coupé, Veerle M.H., additional, and Canfell, Karen, additional

Published
2018
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16. Exploratory Genome-Wide Interaction Analysis of Nonsteroidal Anti-inflammatory Drugs and Predicted Gene Expression on Colorectal Cancer Risk.

Author

Xiaoliang Wang, Yu-Ru Su, Petersen, Paneen S., Bien, Stephanie, Schmit, Stephanie L., Drew, David A., Albanes, Demetrius, Berndt, Sonja I., Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chang-Claude, Jenny, Gallinger, Steven J., Gruber, Stephen B., Haile, Robert W., Harrison, Tabitha A., Hoffmeister, Michael, Jacobs, Eric J., Jenkins, Mark A., and Joshi, Amit D.

Abstract

Background: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. Methods: Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. Results: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10-4), KRT16 (PG×E = 2.3 × 10-4), CD14 (PG×E = 9.38 × 10-4), and CYP27A1 (PG×E = 1.44 × 10-3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10-5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. Conclusions: By incorporating functional information, we discovered several novel genes that interacted with NSAID use. [ABSTRACT FROM AUTHOR]

Published
2020
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17. A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.

Author

Yingye Zheng, Xinwei Hua, Win, Aung K., MacInnis, Robert J., Gallinger, Steven, Le Marchand, Loic, Lindor, Noralane M., Baron, John A., Hopper, John L., Dowty, James G., Antoniou, Antonis C., Jiayin Zheng, Jenkins, Mark A., and Newcomb, Polly A.

Abstract

Purpose: Reducing colorectal cancer incidence and mortality through early detection would improve efficacy if targeted. We developed a colorectal cancer risk prediction model incorporating personal, family, genetic, and environmental risk factors to enhance prevention. Methods: A familial risk profile (FRP) was calculated to summarize individuals' risk based on detailed cancer family history (FH), family structure, probabilities of mutation in major colorectal cancer susceptibility genes, and a polygenic component. We developed risk models, including individuals' FRP or binary colorectal cancer FH, and colorectal cancer risk factors collected at enrollment using population-based colorectal cancer cases (N = 4,445) and controls (N = 3,967) recruited by the Colon Cancer Family Registry Cohort (CCFRC). Model validation used CCFRC follow-up data for population-based (N = 12,052) and clinic-based (N = 5,584) relatives with no cancer history at recruitment to assess model calibration [expected/observed rate ratio (E/O)] and discrimination [area under the receiver-operating-characteristic curve (AUC)]. Results: The E/O [95% confidence interval (CI)] for FRP models for population-based relatives were 1.04 (0.74-1.45) for men and 0.86 (0.64-1.20) for women, and for clinic-based relatives were 1.15 (0.87-1.58) for men and 1.04 (0.76-1.45) for women. The age-adjusted AUCs (95% CI) for FRP models for population-based relatives were 0.69 (0.60-0.78) for men and 0.70 (0.62-0.77) for women, and for clinic-based relatives were 0.77 (0.69-0.84) for men and 0.68 (0.60-0.76) for women. The incremental values of AUC for FRP over FH models for population-based relatives were 0.08 (0.01-0.15) for men and 0.10 (0.04-0.16) for women, and for clinic-based relatives were 0.11 (0.05-0.17) for men and 0.11 (0.06-0.17) for women. Conclusions: Both models calibrated well. The FRP-based model provided better risk stratification and risk discrimination than the FH-based model. Impact: Our findings suggest detailed FH may be useful for targeted risk-based screening and clinical management. [ABSTRACT FROM AUTHOR]

Published
2020
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19. Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

Author

Win, Aung Ko, primary, Jenkins, Mark A., additional, Dowty, James G., additional, Antoniou, Antonis C., additional, Lee, Andrew, additional, Giles, Graham G., additional, Buchanan, Daniel D., additional, Clendenning, Mark, additional, Rosty, Christophe, additional, Ahnen, Dennis J., additional, Thibodeau, Stephen N., additional, Casey, Graham, additional, Gallinger, Steven, additional, Le Marchand, Loïc, additional, Haile, Robert W., additional, Potter, John D., additional, Zheng, Yingye, additional, Lindor, Noralane M., additional, Newcomb, Polly A., additional, Hopper, John L., additional, and MacInnis, Robert J., additional

Published
2017
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20. Alcohol Consumption and the Risk of Colorectal Cancer for Mismatch Repair Gene Mutation Carriers

Author

Dashti, S. Ghazaleh, primary, Buchanan, Daniel D., additional, Jayasekara, Harindra, additional, Ait Ouakrim, Driss, additional, Clendenning, Mark, additional, Rosty, Christophe, additional, Winship, Ingrid M., additional, Macrae, Finlay A., additional, Giles, Graham G., additional, Parry, Susan, additional, Casey, Graham, additional, Haile, Robert W., additional, Gallinger, Steven, additional, Le Marchand, Loïc, additional, Thibodeau, Stephen N., additional, Lindor, Noralane M., additional, Newcomb, Polly A., additional, Potter, John D., additional, Baron, John A., additional, Hopper, John L., additional, Jenkins, Mark A., additional, and Win, Aung Ko, additional

Published
2017
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21. Benefits, Harms, and Cost-Effectiveness of Potential Age Extensions to the National Bowel Cancer Screening Program in Australia.

Author

Jie-Bin Lew, St John, D. James B., Macrae, Finlay A., Emery, Jon D., Ee, Hooi C., Jenkins, Mark A., He, Emily, Grogan, Paul, Caruana, Michael, Greuter, Marjolein J. E., Coupé, Veerle M. H., and Canfell, Karen

Abstract

Background: The Australian National Bowel Cancer Screening Program (NBCSP) is rolling out 2-yearly immunochemical fecal occult blood test screening in people aged 50 to 74 years. This study aimed to evaluate the benefits, harms, and cost-effectiveness of extending the NBCSP to younger and/or older ages. Methods: A comprehensive validated microsimulation model, Policy1-Bowel, was used to simulate the fully rolled-out NBCSP and alternative strategies assuming screening starts at 40 or 45 years and/or ceases at 79 or 84 years given three scenarios: (i) perfect adherence (100%), (ii) high adherence (60%), and (ii) low adherence (40%, as currently achieved). Results: The current NBCSP will reduce colorectal cancer incidence (mortality) by 23% to 51% (36% to 74%) compared with no screening (range reflects participation); extending screening to younger or older ages would result in additional reductions of 2 to 6 (2 to 9) or 1 to 3 (3 to 7) percentage points, respectively. With an indicative willingness-to-pay threshold of A$50,000/life-year saved (LYS), only screening from 50 to 74 years [incremental cost-effective ratio (ICER): A$2,984-5,981/LYS) or from 45 to 74 years (ICER: A$17,053-29,512/LYS) remained cost-effective in all participation scenarios. The number-needed-to-colonoscope to prevent a death over the lifetime of a cohort in the current NBCSP is 35 to 49. Starting screening at 45 years would increase colonoscopy demand for program-related colonoscopies by 3% to 14% and be associated with 55 to 170 additional colonoscopies per additional death prevented. Conclusions: Starting screening at 45 years could be cost-effective, but it would increase colonoscopy demand and would be associated with a less favorable incremental benefits-to-harms trade-off than screening from 50 to 74 years. Impact: The study underpins recently updated Australian colorectal cancer management guidelines that recommend that the NBCSP continues to offer bowel screening from 50 to 74 years. [ABSTRACT FROM AUTHOR]

Published
2018
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22. Association between Body Mass Index and Mortality for Colorectal Cancer Survivors: Overall and by Tumor Molecular Phenotype

Author

Campbell, Peter T., primary, Newton, Christina C., additional, Newcomb, Polly A., additional, Phipps, Amanda I., additional, Ahnen, Dennis J., additional, Baron, John A., additional, Buchanan, Daniel D., additional, Casey, Graham, additional, Cleary, Sean P., additional, Cotterchio, Michelle, additional, Farris, Alton B., additional, Figueiredo, Jane C., additional, Gallinger, Steven, additional, Green, Roger C., additional, Haile, Robert W., additional, Hopper, John L., additional, Jenkins, Mark A., additional, Le Marchand, Loïc, additional, Makar, Karen W., additional, McLaughlin, John R., additional, Potter, John D., additional, Renehan, Andrew G., additional, Sinicrope, Frank A., additional, Thibodeau, Stephen N., additional, Ulrich, Cornelia M., additional, Win, Aung Ko, additional, Lindor, Noralane M., additional, and Limburg, Paul J., additional

Published
2015
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24. Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk

Author

Thrift, Aaron P., primary, Gong, Jian, additional, Peters, Ulrike, additional, Chang-Claude, Jenny, additional, Rudolph, Anja, additional, Slattery, Martha L., additional, Chan, Andrew T., additional, Locke, Adam E., additional, Kahali, Bratati, additional, Justice, Anne E., additional, Pers, Tune H., additional, Gallinger, Steven, additional, Hayes, Richard B., additional, Baron, John A., additional, Caan, Bette J., additional, Ogino, Shuji, additional, Berndt, Sonja I., additional, Chanock, Stephen J., additional, Casey, Graham, additional, Haile, Robert W., additional, Du, Mengmeng, additional, Harrison, Tabitha A., additional, Thornquist, Mark, additional, Duggan, David J., additional, Le Marchand, Loïc, additional, Lindor, Noralane M., additional, Seminara, Daniela, additional, Song, Mingyang, additional, Wu, Kana, additional, Thibodeau, Stephen N., additional, Cotterchio, Michelle, additional, Win, Aung Ko, additional, Jenkins, Mark A., additional, Hopper, John L., additional, Ulrich, Cornelia M., additional, Potter, John D., additional, Newcomb, Polly A., additional, Hoffmeister, Michael, additional, Brenner, Hermann, additional, White, Emily, additional, Hsu, Li, additional, and Campbell, Peter T., additional

Published
2015
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25. Accuracy of Self-Reported Nevus and Pigmentation Phenotype Compared with Clinical Assessment in a Population-Based Study of Young Australian Adults

Author

Cust, Anne E., primary, Pickles, Kristen M., additional, Goumas, Chris, additional, Vu, Thao, additional, Schmid, Helen, additional, Nagore, Eduardo, additional, Kelly, John, additional, Aitken, Joanne F., additional, Giles, Graham G., additional, Hopper, John L., additional, Jenkins, Mark A., additional, and Mann, Graham J., additional

Published
2015
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26. Red Meat Intake, NAT2, and Risk of Colorectal Cancer: A Pooled Analysis of 11 Studies

Author

Ananthakrishnan, Ashwin N., primary, Du, Mengmeng, additional, Berndt, Sonja I., additional, Brenner, Hermann, additional, Caan, Bette J., additional, Casey, Graham, additional, Chang-Claude, Jenny, additional, Duggan, David, additional, Fuchs, Charles S., additional, Gallinger, Steven, additional, Giovannucci, Edward L., additional, Harrison, Tabitha A., additional, Hayes, Richard B., additional, Hoffmeister, Michael, additional, Hopper, John L., additional, Hou, Lifang, additional, Hsu, Li, additional, Jenkins, Mark A., additional, Kraft, Peter, additional, Ma, Jing, additional, Nan, Hongmei, additional, Newcomb, Polly A., additional, Ogino, Shuji, additional, Potter, John D., additional, Seminara, Daniela, additional, Slattery, Martha L., additional, Thornquist, Mark, additional, White, Emily, additional, Wu, Kana, additional, Peters, Ulrike, additional, and Chan, Andrew T., additional

Published
2015
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27. Gene–Environment Interaction Involving Recently Identified Colorectal Cancer Susceptibility Loci

Author

Kantor, Elizabeth D., primary, Hutter, Carolyn M., additional, Minnier, Jessica, additional, Berndt, Sonja I., additional, Brenner, Hermann, additional, Caan, Bette J., additional, Campbell, Peter T., additional, Carlson, Christopher S., additional, Casey, Graham, additional, Chan, Andrew T., additional, Chang-Claude, Jenny, additional, Chanock, Stephen J., additional, Cotterchio, Michelle, additional, Du, Mengmeng, additional, Duggan, David, additional, Fuchs, Charles S., additional, Giovannucci, Edward L., additional, Gong, Jian, additional, Harrison, Tabitha A., additional, Hayes, Richard B., additional, Henderson, Brian E., additional, Hoffmeister, Michael, additional, Hopper, John L., additional, Jenkins, Mark A., additional, Jiao, Shuo, additional, Kolonel, Laurence N., additional, Le Marchand, Loic, additional, Lemire, Mathieu, additional, Ma, Jing, additional, Newcomb, Polly A., additional, Ochs-Balcom, Heather M., additional, Pflugeisen, Bethann M., additional, Potter, John D., additional, Rudolph, Anja, additional, Schoen, Robert E., additional, Seminara, Daniela, additional, Slattery, Martha L., additional, Stelling, Deanna L., additional, Thomas, Fridtjof, additional, Thornquist, Mark, additional, Ulrich, Cornelia M., additional, Warnick, Greg S., additional, Zanke, Brent W., additional, Peters, Ulrike, additional, Hsu, Li, additional, and White, Emily, additional

Published
2014
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28. Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer.

Author

Aung Ko Win, Jenkins, Mark A., Dowty, James G., Antoniou, Antonis C., Lee, Andrew, Giles, Graham G., Buchanan, Daniel D., Clendenning, Mark, Rosty, Christophe, Ahnen, Dennis J., Thibodeau, Stephen N., Casey, Graham, Gallinger, Steven, Marchand, Loïc Le, Haile, Robert W., Potter, John D., Yingye Zheng, Lindor, Noralane M., Newcomb, Polly A., and Hopper, John L.

Abstract

Background: Although high-risk mutations in identified major susceptibility genes (DNA mismatch repair genes and MUTYH) account for some familial aggregation of colorectal cancer, their population prevalence and the causes of the remaining familial aggregation are not known. Methods: We studied the families of 5,744 colorectal cancer cases (probands) recruited from population cancer registries in the United States, Canada, and Australia and screened probands for mutations in mismatch repair genes and MUTYH. We conducted modified segregation analyses using the cancer history of first-degree relatives, conditional on the proband's age at diagnosis. We estimated the prevalence of mutations in the identified genes, the prevalence of HR for unidentified major gene mutations, and the variance of the residual polygenic component. Results: We estimated that 1 in 279 of the population carry mutations in mismatch repair genes (MLH1 = 1 in 1,946, MSH2 = 1 in 2,841, MSH6 = 1 in 758, PMS2 = 1 in 714), 1 in 45 carry mutations in MUTYH, and 1 in 504 carry mutations associated with an average 31-fold increased risk of colorectal cancer in unidentified major genes. The estimated polygenic variance was reduced by 30% to 50% after allowing for unidentified major genes and decreased from 3.3 for age <40 years to 0.5 for age ≥70 years (equivalent to sibling relative risks of 5.1 to 1.3, respectively). Conclusions: Unidentified major genes might explain one third to one half of the missing heritability of colorectal cancer. Impact: Our findings could aid gene discovery and development of better colorectal cancer risk prediction models. [ABSTRACT FROM AUTHOR]

Published
2017
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30. Genetic Predictors of Circulating 25-Hydroxyvitamin D and Risk of Colorectal Cancer

Author

Hiraki, Linda T., primary, Qu, Conghui, additional, Hutter, Carolyn M., additional, Baron, John A., additional, Berndt, Sonja I., additional, Bézieau, Stéphane, additional, Brenner, Hermann, additional, Caan, Bette J., additional, Casey, Graham, additional, Chang-Claude, Jenny, additional, Chanock, Stephen J., additional, Conti, David V., additional, Duggan, David, additional, Fuchs, Charles S., additional, Gallinger, Steven, additional, Giovannucci, Edward L., additional, Harrison, Tabitha A., additional, Hayes, Richard B., additional, Hazra, Aditi, additional, Henderson, Brian, additional, Hoffmeister, Michael, additional, Hopper, John L., additional, Hudson, Thomas J., additional, Jenkins, Mark A., additional, Küry, Sébastien, additional, Le Marchand, Loic, additional, Lemire, Mathieu, additional, Ma, Jing, additional, Manson, JoAnn E., additional, Nan, Hongmei, additional, Newcomb, Polly A., additional, Ng, Kimmie, additional, Potter, John D., additional, Schoen, Robert E., additional, Schumacher, Fredrick R., additional, Seminara, Daniela, additional, Slattery, Martha L., additional, Wactawski-Wende, Jean, additional, White, Emily, additional, Wu, Kana, additional, Zanke, Brent W., additional, Kraft, Peter, additional, Peters, Ulrike, additional, and Chan, Andrew T., additional

Published
2013
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31. Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research

Author

Cunningham, Julie M., primary, Johnson, Ruth A., additional, Litzelman, Kristin, additional, Skinner, Halcyon G., additional, Seo, Songwon, additional, Engelman, Corinne D., additional, Vanderboom, Russell J., additional, Kimmel, Grace W., additional, Gangnon, Ronald E., additional, Riegert-Johnson, Douglas L., additional, Baron, John A., additional, Potter, John D., additional, Haile, Robert, additional, Buchanan, Daniel D., additional, Jenkins, Mark A., additional, Rider, David N., additional, Thibodeau, Stephen N., additional, Petersen, Gloria M., additional, and Boardman, Lisa A., additional

Published
2013
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32. Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing

Author

DeRycke, Melissa S., primary, Gunawardena, Shanaka R., additional, Middha, Sumit, additional, Asmann, Yan W., additional, Schaid, Daniel J., additional, McDonnell, Shannon K., additional, Riska, Shaun M., additional, Eckloff, Bruce W., additional, Cunningham, Julie M., additional, Fridley, Brooke L., additional, Serie, Daniel J., additional, Bamlet, William R., additional, Cicek, Mine S., additional, Jenkins, Mark A., additional, Duggan, David J., additional, Buchanan, Daniel, additional, Clendenning, Mark, additional, Haile, Robert W., additional, Woods, Michael O., additional, Gallinger, Steven N., additional, Casey, Graham, additional, Potter, John D., additional, Newcomb, Polly A., additional, Le Marchand, Loïc, additional, Lindor, Noralane M., additional, Thibodeau, Stephen N., additional, and Goode, Ellen L., additional

Published
2013
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34. Abstract 43: The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies

Author

Steven Gallinger, Hopper L. John, Jenkins Mark, Casey Graham, Aung Ko Win, Noralane M. Lindor, Loic Le Marchand, Polly A. Newcomb, Robert W. Haile, and Daniel D Buchanan

Subjects
Gerontology, medicine.medical_specialty, education.field_of_study, medicine.diagnostic_test, Epidemiology, Colorectal cancer, business.industry, Population, Colonoscopy, Cancer, Sigmoidoscopy, Gene mutation, medicine.disease, Oncology, Family medicine, Cancer screening, medicine, Family history, education, business
Abstract

Background: The Colorectal Cancer Family Registry (Colon CFR) has served as an international resource for studies of the genetics and epidemiology of colorectal cancer (CRC) since 1997. It is the largest family-based resource in the world for the study of CRC and other cancers, such as endometrial cancer, that occur in CRC families. The Colon CFR has recruited participants via six institutions: Cancer Care Ontario, Fred Hutchinson Cancer Research Center, Mayo Clinic, University of Hawaii, University of Southern California Consortium, and University of Melbourne. Methods: CRC cases were recruited from both population-based cancer registries and family cancer clinics. Controls were recruited from population-based sources. Relatives were recruited via cases and controls. Participants were asked to: donate a blood sample; give permission to access any tumor tissue; complete a detailed personal and family history of cancer including degree of relationship, site of cancer and age of diagnosis; and complete a detailed baseline lifestyle questionnaire that was administered across all recruitment sites, which included items on established and suspected risk factors for colorectal cancer: personal characteristics including age, sex, height and weight, country of birth, ethnicity, race and religion; history of exercise, alcohol consumption and smoking; medication use including NSAIDs, cholesterol-lowering agents, diabetes medication and post- menopausal hormone use; history of colorectal cancer screening including fecal occult blood test, sigmoidoscopy, colonoscopy; personal history of surgery including polypectomy, other bowel surgery and hysterectomy; frequency of meat consumption and method of cooking; reproductive history (for women). Participants were also asked for detail information on the frequency of food consumption and portion size using a food frequency questionnaire. Follow-up of participants has been conducted every five years, by questionnaire, to update vital status, surgery, cancer screening, polypectomy, and personal and family history of cancer history. Participants have been characterized for major known predisposing CRC gene mutations and have undergone a genome-wide SNP testing and tested for known CRC SNPs. Results: The Colon CFR has enrolled 35,297 participants (11,635 affected with CRC, 3,629 affected with other cancers, and 20,033 unaffected) who have completed baseline questionnaires. We have 5-year follow-up data on 24,692 participants (6,329 affected with CRC, 2,261 affected with other cancers, and 16,102 unaffected) and 10-year follow-up data on 10,467 (3,654 affected with CRC, 1,182 affected with other cancers, and 5,631 unaffected). We have GWAS data on 3,830 participants, candidate SNP data on 18,000 participants, and mismatch repair gene mutation data on 2,697 participants (and observed 1,697 carriers with a deleterious mutation). Conclusion: This largest and best characterized CRC cohort in the world will facilitate post-GWAS research to provide insight into the role of environmental factors, and how they interact with genetic factors on CRC risk. Researchers are encouraged by the National Cancer Institute (USA) and the Colon CFR investigators to apply for access to this unique resource of data and biospecimens for collaborative research. Citation Format: Aung Ko Win, Daniel D. Buchanan, Noralane M. Lindor, Robert W. Haile, Polly A. Newcomb, Loic Le Marchand, Steven Gallinger, Hopper L. John, Casey Graham, Mark A. Jenkins. The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 43.

Published
2012

36. Genotype–Environment Interactions in Microsatellite Stable/Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study

Author

Figueiredo, Jane C., primary, Lewinger, Juan Pablo, additional, Song, Chi, additional, Campbell, Peter T., additional, Conti, David V., additional, Edlund, Christopher K., additional, Duggan, Dave J., additional, Rangrej, Jagadish, additional, Lemire, Mathieu, additional, Hudson, Thomas, additional, Zanke, Brent, additional, Cotterchio, Michelle, additional, Gallinger, Steven, additional, Jenkins, Mark, additional, Hopper, John, additional, Haile, Robert, additional, Newcomb, Polly, additional, Potter, John, additional, Baron, John A., additional, Marchand, Loic Le, additional, and Casey, Graham, additional

Published
2011
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37. Asthma, Asthma Medications, and Prostate Cancer Risk

Author

Severi, Gianluca, primary, Baglietto, Laura, additional, Muller, David C., additional, English, Dallas R., additional, Jenkins, Mark A., additional, Abramson, Michael J., additional, Douglass, Jo A., additional, Hopper, John L., additional, and Giles, Graham G., additional

Published
2010
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38. Use of Folic Acid–Containing Supplements after a Diagnosis of Colorectal Cancer in the Colon Cancer Family Registry

Author

Holmes, Rebecca S., primary, Zheng, Yingye, additional, Baron, John A., additional, Li, Lin, additional, McKeown-Eyssen, Gail, additional, Newcomb, Polly A., additional, Stern, Mariana C., additional, Haile, Robert W., additional, Grady, William M., additional, Potter, John D., additional, Le Marchand, Loic, additional, Campbell, Peter T., additional, Figueiredo, Jane C., additional, Limburg, Paul J., additional, Jenkins, Mark A., additional, Hopper, John L., additional, and Ulrich, Cornelia M., additional

Published
2010
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39. Genetic Variation in the Vitamin D Receptor (VDR) and the Vitamin D–Binding Protein (GC) and Risk for Colorectal Cancer: Results from the Colon Cancer Family Registry

Author

Poynter, Jenny N., primary, Jacobs, Elizabeth T., additional, Figueiredo, Jane C., additional, Lee, Won H., additional, Conti, David V., additional, Campbell, Peter T., additional, Levine, A. Joan, additional, Limburg, Paul, additional, Le Marchand, Loic, additional, Cotterchio, Michelle, additional, Newcomb, Polly A., additional, Potter, John D., additional, Jenkins, Mark A., additional, Hopper, John L., additional, Duggan, David J., additional, Baron, John A., additional, and Haile, Robert W., additional

Published
2010
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40. Ethnicity and Risk for Colorectal Cancers Showing Somatic BRAF V600E Mutation or CpG Island Methylator Phenotype

Author

English, Dallas R., primary, Young, Joanne P., additional, Simpson, Julie A., additional, Jenkins, Mark A., additional, Southey, Melissa C., additional, Walsh, Michael D., additional, Buchanan, Daniel D., additional, Barker, Melissa A., additional, Haydon, Andrew M., additional, Royce, Simon G., additional, Roberts, Aedan, additional, Parry, Susan, additional, Hopper, John L., additional, Jass, Jeremy J., additional, and Giles, Graham G., additional

Published
2008
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41. Accuracy of Colorectal Polyp Self-Reports: Findings from the Colon Cancer Family Registry

Author

Madlensky, Lisa, primary, Daftary, Darshana, additional, Burnett, Terrilea, additional, Harmon, Patricia, additional, Jenkins, Mark, additional, Maskiell, Judi, additional, Nigon, Sandra, additional, Phillips, Kerry, additional, Templeton, Allyson, additional, Limburg, Paul J., additional, Haile, Robert W., additional, Potter, John D., additional, Gallinger, Steven, additional, and Baron, John A., additional

Published
2007
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43. Family History of Colorectal Cancer Is Not Associated with Colorectal Cancer Survival Regardless of Microsatellite Instability Status.

Author

Phipps, Amanda I., Ahnen, Dennis J., Campbell, Peter T., Aung Ko Win, Jenkins, Mark A., Lindor, Noralane M., Gryfe, Robert, Potter, John D., and Newcomb, Polly A.

Abstract

The article presents study on association of family history of colorectal cancer with colorectal cancer survival regardless of microsatellite instability status. It mentions the use of Cox proportional hazards regression to evaluate the association between family history and disease-specific survival. It adds that the study revealed no evidence of association between family history and overall hazard ratio (HR), confidence interval (CI), or disease-specific survival.

Published
2014
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44. Family History of Colorectal Cancer in BRAF p.V600E-Mutated Colorectal Cancer Cases.

Author

Buchanan, Daniel D., Win, Aung K., Walsh, Michael D., Walters, Rhiannon J., Clendenning, Mark, Nagler, Belinda, Pearson, Sally-Ann, Macrae, Finlay A., Parry, Susan, Arnold, Julie, Winship, Ingrid, Giles, Graham G., Lindor, Noralane M., Potter, John D., Hopper, John L., Rosty, Christophe, Young, Joanne P., and Jenkins, Mark A.

Abstract

The article presents a study which examined the relationship between the family history of colorectal cancer (CRC) and extracolonic cancers (ECC) with the gene BRAF p.V600E mutation status of CRC. In the study, multivariable logistic regression were used to calculate odd ratios (OR) and confidence intervals (CI). The study suggested that inherited factors are more important in early-onset BRAF-wild-type CRC.

Published
2013
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45. Risk Prediction Models for Colorectal Cancer: A Review.

Author

Aung Ko Win, MacInnis, Robert J., Hopper, John L., and Jenkins, Mark A.

Abstract

The article discusses the applicability of risk prediction models that have been developed for colorectal cancer. It discusses the factors to be considered for future development and improvement of models for colorectal cancer risk prediction. It concludes that a new model is needed that covers the known risk factors for colorectal cancer that is suitable for assessment of people from the full range of risk.

Published
2012
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46. Genotype Environment Interactions in Microsatellite Stable Microsatellite Instability-Low Colorectal Cancer: Results from a Genome-Wide Association Study.

Author

Figueiredo, Jane C., Lewinger, Juan Pablo, Chi Song, Campbell, Peter T., Conti, David V., Edlund, Christopher K., Duggan, Dave J., Rangrej, Jagadish, Lemire, Mathieu, Hudson, Thomas, Zanke, Brent, Cotterchio, Michelle, Gallinger, Steven, Jenkins, Mark, Hopper, John, Haile, Robert, Newcomb, Polly, Potter, John, Baron, John A., and Le Marchand, Loic

Abstract

The article discusses a study which investigated genotype environment interactions within a GWAS of microsatellite stable (MSS)/microsatellite instability-low (MSI-L) colorectal cancer from the Colon Cancer Family Registry. Methods used in testing for interactions between genotypes and environmental factors include traditional case-control test, case-only test and 2-step method. Results showed that no interactions were identified which reached genome-wide significance by any of the methods.

Published
2011
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47. Associations between Smoking, Alcohol Consumption, and Colorectal Cancer, Overall and by Tumor Microsatellite Instability Status.

Author

Poynter, Jenny N., Haile, Robert W., Siegmund, Kimberly D., Campbell, Peter T., Figueiredo, Jane C., Limburg, Paul, Young, Joanne, Marchand, Loic Le, Potter, John D., Cotterchio, Michelle, Casey, Graham, Hopper, John L., Jenkins, Mark A., Thibodeau, Stephen N., Newcomb, Polly A., and Baron, John A.

Abstract

The article discusses a study which assesses the associations between alcohol consumption, smoking, colorectal cancer (CRC) overall, and by tumor microsatellite instability (MSI) status. The study recruited sibships from the Colon Cancer Family Registry (CFR) to assess the relationship between alcohol consumption, smoking and CRC through conditional logistic regression. The results revealed that smoking and alcohol consumption were associated by increased risks of CRC.

Published
2009
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48. The Association of Tumor Microsatellite Instability Phenotype with Family History of Colorectal Cancer.

Author

Bapat, Bharati, Lindor, Noralane M., Baron, John, Siegmund, Kim, Lin Li, Yingye Zheng, Haile, Robert, Gallinger, Steve, Jass, Jeremy R., Young, Joanne P., Cotterchio, Michelle, Jenkins, Mark, Grove, John, Casey, Graham, Thibodeau, Stephen N., Bishop, D. Timothy, Hopper, John L., Ahnen, Dennis, Newcomb, Polly A., and Marchand, Loic Le

Abstract

The article presents a study in the U.S. which examines the significance of family history in the assessment of microsatellite instability (MSI) status of colorectal cancer. It notes that the polytomous logistic regression was used to compare the distribution of MSI characteristics of patients. It highlights the relation of the Lynch syndrome in the familial risk of colorectal cancer in MSI-High tumors.

Published
2009
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49. Molecular Characterization of MSI-H Colorectal Cancer by MLHI Promoter Methylation, Immunohistochemistry, and Mismatch Repair Germline Mutation Screening.

Author

Poynter, Jenny N., Siegmund, Kimberly D., Weisenberger, Daniel J., Tiffany I. Long, Thibodeau, Stephen N., Lindo, Noralane, Joanne Young, Jenkins, Mark A., Hopper, John L., Baron, John A., Buchanan, Dan, Casey, Graham, Levine, Joan, Le Marchand, Loïc, Gallinger, Steven, Bapat, Bharati, Potter, John D., Newcomb, Polly A., Haile, Robert W., and Laird, Peter W.

Abstract

The article highlights the results of a large population- and clinic-based study of MLH1 methylation, immunohistochemistry and mismatch repair (MMR) germline mutations. It estimates the prevalence of MMR germline mutations and MLH1 methylation among microsatellite instability (MSI)-H colorectal cancer.

Published
2008
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