Search

Your search keyword '"Huyghe, JR"' showing total 98 results
Start Over Author "Huyghe, JR" Search Limiters Available in Library Collection
98 results on '"Huyghe, JR"'

1. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses

Author

Papadimitriou, N, Qu, C, Harrison, TA, Bever, AM, Martin, RM, Tsilidis, KK, Newcomb, PA, Thibadeau, SN, Newton, CC, Um, CY, Obon-Santacana, M, Moreno, V, Brenner, H, Mandic, M, Chang-Claude, J, Hoffmeister, M, Pellatt, AJ, Schoen, RE, Harlid, S, Ogino, S, Ugai, T, Buchanan, DD, Lynch, BM, Gruber, SB, Cao, Y, Hsu, L, Huyghe, JR, Lin, Y, Steinfelder, RS, Sun, W, Van Guelpen, B, Zaidi, SH, Toland, AE, Berndt, SI, Huang, W-Y, Aglago, EK, Drew, DA, French, AJ, Georgeson, P, Giannakis, M, Hullar, M, Nowak, JA, Thomas, CE, LeMarchand, L, Cheng, I, Gallinger, S, Jenkins, MA, Gunter, MJ, Campbell, PT, Peters, U, Song, M, Phipps, AI, Murphya, N, Papadimitriou, N, Qu, C, Harrison, TA, Bever, AM, Martin, RM, Tsilidis, KK, Newcomb, PA, Thibadeau, SN, Newton, CC, Um, CY, Obon-Santacana, M, Moreno, V, Brenner, H, Mandic, M, Chang-Claude, J, Hoffmeister, M, Pellatt, AJ, Schoen, RE, Harlid, S, Ogino, S, Ugai, T, Buchanan, DD, Lynch, BM, Gruber, SB, Cao, Y, Hsu, L, Huyghe, JR, Lin, Y, Steinfelder, RS, Sun, W, Van Guelpen, B, Zaidi, SH, Toland, AE, Berndt, SI, Huang, W-Y, Aglago, EK, Drew, DA, French, AJ, Georgeson, P, Giannakis, M, Hullar, M, Nowak, JA, Thomas, CE, LeMarchand, L, Cheng, I, Gallinger, S, Jenkins, MA, Gunter, MJ, Campbell, PT, Peters, U, Song, M, Phipps, AI, and Murphya, N

Abstract

BACKGROUND: Obesity has been positively associated with most molecular subtypes of colorectal cancer (CRC); however, the magnitude and the causality of these associations is uncertain. METHODS: We used Mendelian randomization (MR) to examine potential causal relationships between body size traits (body mass index [BMI], waist circumference, and body fat percentage) with risks of Jass classification types and individual subtypes of CRC (microsatellite instability [MSI] status, CpG island methylator phenotype [CIMP] status, BRAF and KRAS mutations). Summary data on tumour markers were obtained from two genetic consortia (CCFR, GECCO). FINDINGS: A 1-standard deviation (SD:5.1 kg/m2) increment in BMI levels was found to increase risks of Jass type 1MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype (odds ratio [OR]: 2.14, 95% confidence interval [CI]: 1.46, 3.13; p-value = 9 × 10-5) and Jass type 2non-MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype CRC (OR: 2.20, 95% CI: 1.26, 3.86; p-value = 0.005). The magnitude of these associations was stronger compared with Jass type 4non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-wildtype CRC (p-differences: 0.03 and 0.04, respectively). A 1-SD (SD:13.4 cm) increment in waist circumference increased risk of Jass type 3non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-mutated (OR 1.73, 95% CI: 1.34, 2.25; p-value = 9 × 10-5) that was stronger compared with Jass type 4 CRC (p-difference: 0.03). A higher body fat percentage (SD:8.5%) increased risk of Jass type 1 CRC (OR: 2.59, 95% CI: 1.49, 4.48; p-value = 0.001), which was greater than Jass type 4 CRC (p-difference: 0.03). INTERPRETATION: Body size was more strongly linked to the serrated (Jass types 1 and 2) and alternate (Jass type 3) pathways of colorectal carcinogenesis in comparison to the traditional pathway (Jass type 4). FUNDING: Cancer Research UK, National Institute for Health Research, Medical Research Council, National Institutes of Health, National Cancer Institute, Americ

Published
2024

2. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk

Author

Tian, Y, Lin, Y, Qu, C, Arndt, V, Baurley, JW, Berndt, SI, Bien, SA, Bishop, DT, Brenner, H, Buchanan, DD, Budiarto, A, Campbell, PT, Carreras-Torres, R, Casey, G, Chan, AT, Chen, R, Chen, X, Conti, DV, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gunter, MJ, Harlid, S, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Joshi, AD, Keku, TO, Kawaguchi, E, Kim, AE, Kundaje, A, Larsson, SC, Marchand, LL, Lewinger, JP, Li, L, Moreno, V, Morrison, J, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, EA, Sakoda, LC, Schoen, RE, Shcherbina, A, Stern, MC, Su, Y-R, Thibodeau, SN, Thomas, DC, Tsilidis, KK, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Lin, Y, Qu, C, Arndt, V, Baurley, JW, Berndt, SI, Bien, SA, Bishop, DT, Brenner, H, Buchanan, DD, Budiarto, A, Campbell, PT, Carreras-Torres, R, Casey, G, Chan, AT, Chen, R, Chen, X, Conti, DV, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gunter, MJ, Harlid, S, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Joshi, AD, Keku, TO, Kawaguchi, E, Kim, AE, Kundaje, A, Larsson, SC, Marchand, LL, Lewinger, JP, Li, L, Moreno, V, Morrison, J, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, EA, Sakoda, LC, Schoen, RE, Shcherbina, A, Stern, MC, Su, Y-R, Thibodeau, SN, Thomas, DC, Tsilidis, KK, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J

Abstract

BACKGROUND: Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk. METHODS: We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated. RESULTS: The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10-8). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk. CONCLUSIONS: MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use.

Published
2024

3. Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms

Author

Seielstad, Mark, Horikoshi, M, Pasquali, L, Wiltshire, S, Huyghe, JR, Mahajan, A, Asimit, JL, Ferreira, T, Locke, AE, Robertson, NR, and Wang, X

Abstract

© The Author 2016. Published by Oxford University Press.To gain insight into potential regulatory mechanisms through which the effects of variants at four established type 2 diabetes (T2D) susceptibility loci (CDKAL1, CDKN2A-B, IGF2BP2 and KCNQ1) are media

Published
2016

4. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk

Author

Aglago, EK, Kim, A, Lin, Y, Qu, C, Evangelou, M, Ren, Y, Morrison, J, Albanes, D, Arndt, V, Barry, EL, Baurley, JW, Berndt, S, Bien, SA, Bishop, DT, Bouras, E, Brenner, H, Buchanan, DD, Budiarto, A, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chen, AT, Chang-Claude, J, Chen, X, Conti, D, Devall, M, Diez-Obrero, V, Dimou, N, Drew, D, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampel, H, Harlid, S, Hidaka, A, Harrison, TA, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, K, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mandic, M, Obon-Santacana, M, Morento, V, Murphy, N, Men, H, Nassir, R, Newcomb, PA, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Tian, Y, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Wang, J, White, E, Wolk, A, Woods, MO, Wu, AH, Zemlianskaia, N, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, Campbell, PT, Aglago, EK, Kim, A, Lin, Y, Qu, C, Evangelou, M, Ren, Y, Morrison, J, Albanes, D, Arndt, V, Barry, EL, Baurley, JW, Berndt, S, Bien, SA, Bishop, DT, Bouras, E, Brenner, H, Buchanan, DD, Budiarto, A, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chen, AT, Chang-Claude, J, Chen, X, Conti, D, Devall, M, Diez-Obrero, V, Dimou, N, Drew, D, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampel, H, Harlid, S, Hidaka, A, Harrison, TA, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, K, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mandic, M, Obon-Santacana, M, Morento, V, Murphy, N, Men, H, Nassir, R, Newcomb, PA, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Tian, Y, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Wang, J, White, E, Wolk, A, Woods, MO, Wu, AH, Zemlianskaia, N, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, and Campbell, PT

Abstract

UNLABELLED: Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. SIGNIFICANCE: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.

Published
2023

5. 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, R, Kim, AE, Lin, Y, Diez-Obrero, V, Bien, SA, Qu, C, Wang, J, Dimou, N, Aglago, EK, Albanes, D, Arndt, V, Baurley, JW, Berndt, SI, Bezieau, S, Bishop, DT, Bouras, E, Brenner, H, Budiarto, A, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chen, X, Conti, D, Dampier, CH, Devall, MAM, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Kawaguchi, E, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, JL, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Cenggoro, TW, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Hsu, L, Peters, U, Moreno, V, Gauderman, WJ, Carreras-Torres, R, Kim, AE, Lin, Y, Diez-Obrero, V, Bien, SA, Qu, C, Wang, J, Dimou, N, Aglago, EK, Albanes, D, Arndt, V, Baurley, JW, Berndt, SI, Bezieau, S, Bishop, DT, Bouras, E, Brenner, H, Budiarto, A, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chen, X, Conti, D, Dampier, CH, Devall, MAM, Drew, DA, Figueiredo, JC, Gallinger, S, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jenkins, MA, Jordahl, KM, Kawaguchi, E, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, JL, Murphy, N, Nan, H, Nassir, R, Newcomb, PA, Obon-Santacana, M, Ogino, S, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Scacheri, PC, Schmit, SL, Schoen, RE, Shcherbina, A, Slattery, ML, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Cenggoro, TW, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Hsu, L, Peters, U, Moreno, V, and Gauderman, WJ

Abstract

BACKGROUND: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. METHODS: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. RESULTS: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). CONCLUSIONS: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. IMPACT: These findings can guide potential prevention treatments.

Published
2023

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

Author

Su, Y-R, Sakoda, LC, Jeon, J, Thomas, M, Lin, Y, Schneider, JL, Udaltsova, N, Lee, JK, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Zheng, J, Zheng, Y, Hauser, E, Baron, JA, Barry, EL, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellví-Bel, S, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hua, X, Huyghe, JR, Jenkins, MA, Keku, TO, Marchand, LL, Li, L, Lindblom, A, Moreno, V, Newcomb, PA, Pharoah, PDP, Platz, EA, Potter, JD, Qu, C, Rennert, G, Schoen, RE, Slattery, ML, Song, M, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, Wolk, A, Woods, MO, Wu, AH, Hayes, RB, Peters, U, Corley, DA, Hsu, L, Su, Y-R, Sakoda, LC, Jeon, J, Thomas, M, Lin, Y, Schneider, JL, Udaltsova, N, Lee, JK, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Zheng, J, Zheng, Y, Hauser, E, Baron, JA, Barry, EL, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellví-Bel, S, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Gunter, MJ, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hua, X, Huyghe, JR, Jenkins, MA, Keku, TO, Marchand, LL, Li, L, Lindblom, A, Moreno, V, Newcomb, PA, Pharoah, PDP, Platz, EA, Potter, JD, Qu, C, Rennert, G, Schoen, RE, Slattery, ML, Song, M, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, Wolk, A, Woods, MO, Wu, AH, Hayes, RB, Peters, U, Corley, DA, and Hsu, L

Abstract

BACKGROUND: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance. METHODS: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group). RESULTS: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity. CONCLUSIONS: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort. IMPACT: The proposed model has potential utility in risk-stratified colorectal cancer prevention.

Published
2023

7. Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses

Author

Dimou, N, Kim, AE, Flanagan, O, Murphy, N, Diez-Obrero, V, Shcherbina, A, Aglago, EK, Bouras, E, Campbell, PT, Casey, G, Gallinger, S, Gruber, SB, Jenkins, MA, Lin, Y, Moreno, V, Ruiz-Narvaez, E, Stern, MC, Tian, Y, Tsilidis, KK, Arndt, V, Barry, EL, Baurley, JW, Berndt, SI, Bezieau, S, Bien, SA, Bishop, DT, Brenner, H, Budiarto, A, Carreras-Torres, R, Cenggoro, TW, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, X, Conti, DV, Dampier, CH, Devall, M, Drew, DA, Figueiredo, JC, Giles, GG, Gsur, A, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jordahl, K, Kawaguchi, E, Keku, TO, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, J, Newcomb, PA, Newton, CC, Obon-Santacana, M, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Scacheri, PC, Schoen, RE, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Ulrich, CM, Um, CY, van Duijnhoven, FJB, Visvanathan, K, Vodicka, P, Vodickova, L, White, E, Wolk, A, Woods, MO, Qu, C, Kundaje, A, Hsu, L, Gauderman, WJ, Gunter, MJ, Peters, U, Dimou, N, Kim, AE, Flanagan, O, Murphy, N, Diez-Obrero, V, Shcherbina, A, Aglago, EK, Bouras, E, Campbell, PT, Casey, G, Gallinger, S, Gruber, SB, Jenkins, MA, Lin, Y, Moreno, V, Ruiz-Narvaez, E, Stern, MC, Tian, Y, Tsilidis, KK, Arndt, V, Barry, EL, Baurley, JW, Berndt, SI, Bezieau, S, Bien, SA, Bishop, DT, Brenner, H, Budiarto, A, Carreras-Torres, R, Cenggoro, TW, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, X, Conti, DV, Dampier, CH, Devall, M, Drew, DA, Figueiredo, JC, Giles, GG, Gsur, A, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Jordahl, K, Kawaguchi, E, Keku, TO, Larsson, SC, Le Marchand, L, Lewinger, JP, Li, L, Mahesworo, B, Morrison, J, Newcomb, PA, Newton, CC, Obon-Santacana, M, Ose, J, Pai, RK, Palmer, JR, Papadimitriou, N, Pardamean, B, Peoples, AR, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Scacheri, PC, Schoen, RE, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Ulrich, CM, Um, CY, van Duijnhoven, FJB, Visvanathan, K, Vodicka, P, Vodickova, L, White, E, Wolk, A, Woods, MO, Qu, C, Kundaje, A, Hsu, L, Gauderman, WJ, Gunter, MJ, and Peters, U

Abstract

BACKGROUND: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis. METHODS: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test). RESULTS: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - ORAA: 1.62, 95% CI: 1.34-1.96; ORAG: 1.41, 95% CI: 1.30-1.54; ORGG: 1.22, 95% CI: 1.13-1.31; p-value3-d.f.: 5.46 × 10-11) and 13q14.13 (rs9526201, LRCH1 - ORGG: 2.11, 95% CI: 1.56-2.83; ORGA: 1.52, 95% CI: 1.38-1.68; ORAA: 1.13, 95% CI: 1.06-1.21; p-value2-d.f.: 7.84 × 10-09). DISCUSSION: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship.

Published
2023

8. Genome-wide interaction analysis of folate for colorectal cancer risk

Author

Bouras, E, Kim, AE, Lin, Y, Morrison, J, Du, M, Albanes, D, Barry, EL, Baurley, JW, Berndt, SI, Bien, SA, Bishop, TD, Brenner, H, Budiarto, A, Burnett-Hartman, A, Campbell, PT, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chan, AT, Chang-Claude, J, Conti, DV, Cotterchio, M, Devall, M, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Giles, GG, Gruber, SB, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mannisto, S, Moreno, V, Murphy, N, Newcomb, PA, Obon-Santacana, M, Ose, J, Palmer, JR, Papadimitriou, N, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Qi, L, Qu, C, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Schmit, SL, Shcherbina, A, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Um, CY, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Wang, J, White, E, Wolk, A, Woods, MO, Ulrich, CM, Hsu, L, Gauderman, WJ, Peters, U, Tsilidis, KK, Bouras, E, Kim, AE, Lin, Y, Morrison, J, Du, M, Albanes, D, Barry, EL, Baurley, JW, Berndt, SI, Bien, SA, Bishop, TD, Brenner, H, Budiarto, A, Burnett-Hartman, A, Campbell, PT, Carreras-Torres, R, Casey, G, Cenggoro, TW, Chan, AT, Chang-Claude, J, Conti, DV, Cotterchio, M, Devall, M, Diez-Obrero, V, Dimou, N, Drew, DA, Figueiredo, JC, Giles, GG, Gruber, SB, Gunter, MJ, Harrison, TA, Hidaka, A, Hoffmeister, M, Huyghe, JR, Joshi, AD, Kawaguchi, ES, Keku, TO, Kundaje, A, Le Marchand, L, Lewinger, JP, Li, L, Lynch, BM, Mahesworo, B, Mannisto, S, Moreno, V, Murphy, N, Newcomb, PA, Obon-Santacana, M, Ose, J, Palmer, JR, Papadimitriou, N, Pardamean, B, Pellatt, AJ, Peoples, AR, Platz, EA, Potter, JD, Qi, L, Qu, C, Rennert, G, Ruiz-Narvaez, E, Sakoda, LC, Schmit, SL, Shcherbina, A, Stern, MC, Su, Y-R, Tangen, CM, Thomas, DC, Tian, Y, Um, CY, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Wang, J, White, E, Wolk, A, Woods, MO, Ulrich, CM, Hsu, L, Gauderman, WJ, Peters, U, and Tsilidis, KK

Abstract

BACKGROUND: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC. OBJECTIVES: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk. METHODS: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO). RESULTS: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10-8) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8). No interactions were observed for dietary and total folate. CONCLUSIONS: Variation in 3p25.2 locus may modify the assoc

Published
2023

9. Association between germline variants and somatic mutations in colorectal cancer.

Author

Barfield, R, Qu, C, Steinfelder, RS, Zeng, C, Harrison, TA, Brezina, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, S, Giannakis, M, Gruber, SB, Gsur, A, Hsu, L, Huyghe, JR, Moreno, V, Newcomb, PA, Ogino, S, Phipps, AI, Slattery, ML, Thibodeau, SN, Trinh, QM, Toland, AE, Hudson, TJ, Sun, W, Zaidi, SH, Peters, U, Barfield, R, Qu, C, Steinfelder, RS, Zeng, C, Harrison, TA, Brezina, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, S, Giannakis, M, Gruber, SB, Gsur, A, Hsu, L, Huyghe, JR, Moreno, V, Newcomb, PA, Ogino, S, Phipps, AI, Slattery, ML, Thibodeau, SN, Trinh, QM, Toland, AE, Hudson, TJ, Sun, W, Zaidi, SH, and Peters, U

Abstract

Colorectal cancer (CRC) is a heterogeneous disease with evidence of distinct tumor types that develop through different somatically altered pathways. To better understand the impact of the host genome on somatically mutated genes and pathways, we assessed associations of germline variations with somatic events via two complementary approaches. We first analyzed the association between individual germline genetic variants and the presence of non-silent somatic mutations in genes in 1375 CRC cases with genome-wide SNPs data and a tumor sequencing panel targeting 205 genes. In the second analysis, we tested if germline variants located within previously identified regions of somatic allelic imbalance were associated with overall CRC risk using summary statistics from a recent large scale GWAS (n≃125 k CRC cases and controls). The first analysis revealed that a variant (rs78963230) located within a CNA region associated with TLR3 was also associated with a non-silent mutation within gene FBXW7. In the secondary analysis, the variant rs2302274 located in CDX1/PDGFRB frequently gained/lost in colorectal tumors was associated with overall CRC risk (OR = 0.96, p = 7.50e-7). In summary, we demonstrate that an integrative analysis of somatic and germline variation can lead to new insights about CRC.

Published
2022

10. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk

Author

Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J

Abstract

BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.

Published
2022

11. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals

Author

Chen, H, Majumdar, A, Wang, L, Kar, S, Brown, KM, Feng, H, Turman, C, Dennis, J, Easton, D, Michailidou, K, Simard, J, Breast Cancer Association Consortium (BCAC), Bishop, T, Cheng, IC, Huyghe, JR, Schmit, SL, Colorectal Transdisciplinary Study (CORECT), Colon Cancer Family Registry Study (CCFR), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO, O'Mara, TA, Spurdle, AB, Endometrial Cancer Association Consortium (ECAC), Gharahkhani, P, Schumacher, J, Jankowski, J, Gockel, I, Esophageal Cancer GWAS Consortium, Bondy, ML, Houlston, RS, Jenkins, RB, Melin, B, Glioma International Case Control Consortium (GICC), Lesseur, C, Ness, AR, Diergaarde, B, Olshan, AF, Head-Neck Cancer GWAS Consortium, Amos, CI, Christiani, DC, Landi, MT, McKay, JD, International Lung Cancer Consortium (ILCCO), Brossard, M, Iles, MM, Law, MH, MacGregor, S, Melanoma GWAS Consortium, Beesley, J, Jones, MR, Tyrer, J, Winham, SJ, Ovarian Cancer Association Consortium (OCAC), Klein, AP, Petersen, G, Li, D, Wolpin, BM, Pancreatic Cancer Case-Control Consortium (PANC4), Pancreatic Cancer Cohort Consortium (PanScan), Eeles, RA, Haiman, CA, Kote-Jarai, Z, Schumacher, FR, PRACTICAL consortium, CRUK, BPC3, CAPS, PEGASUS, Brennan, P, Chanock, SJ, Gaborieau, V, Purdue, MP, Renal Cancer GWAS Consortium, Pharoah, P, Hung, RJ, Amundadottir, LT, Kraft, P, Pasaniuc, B, and Lindström, S

Abstract

Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.

Published
2021

12. Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer

Author

Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, Hopper, JL, Jenkins, MA, Buchanan, DD, Lai, J, Makalic, E, Dite, GS, Win, AK, Clendenning, M, Winship, IM, Hayes, RB, Huyghe, JR, Peters, U, Gallinger, S, Le Marchand, L, Figueiredo, JC, Pai, RK, Newcomb, PA, Church, JM, Casey, G, and Hopper, JL

Abstract

It was not known whether the polygenic risk scores (PRSs) that predict colorectal cancer could predict colorectal cancer for people with inherited pathogenic variants in DNA mismatch repair genes-people with Lynch syndrome. We tested a PRS comprising 107 established single-nucleotide polymorphisms associated with colorectal cancer in European populations for 826 European-descent carriers of pathogenic variants in DNA mismatch repair genes (293 MLH1, 314 MSH2, 126 MSH6, 71 PMS2, and 22 EPCAM) from the Colon Cancer Family Registry, of whom 504 had colorectal cancer. There was no evidence of an association between the PRS and colorectal cancer risk, irrespective of which DNA mismatch repair gene was mutated, or sex (all 2-sided P > .05). The hazard ratio per standard deviation of the PRS for colorectal cancer was 0.97 (95% confidence interval = 0.88 to 1.06; 2-sided P = .51). Whereas PRSs are predictive of colorectal cancer in the general population, they do not predict Lynch syndrome colorectal cancer.

Published
2021

13. Genetic architectures of proximal and distal colorectal cancer are partly distinct

Author

Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, Peters, U, Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, and Peters, U

Abstract

OBJECTIVE: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.

Published
2021

14. Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer

Author

Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, and Hayes, RB

Abstract

BACKGROUND & AIMS: Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS: We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS: Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS: In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be mo

Published
2020

15. A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study

Author

Plagnol, V, Dong, X, Su, Y-R, Barfield, R, Bien, SA, He, Q, Harrison, TA, Huyghe, JR, Keku, TO, Lindor, NM, Schafmayer, C, Chan, AT, Gruber, SB, Jenkins, MA, Kooperberg, C, Peters, U, Hsu, L, Plagnol, V, Dong, X, Su, Y-R, Barfield, R, Bien, SA, He, Q, Harrison, TA, Huyghe, JR, Keku, TO, Lindor, NM, Schafmayer, C, Chan, AT, Gruber, SB, Jenkins, MA, Kooperberg, C, Peters, U, and Hsu, L

Abstract

Genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants associated with various phenotypes, but together they explain only a fraction of heritability, suggesting many variants have yet to be discovered. Recently it has been recognized that incorporating functional information of genetic variants can improve power for identifying novel loci. For example, S-PrediXcan and TWAS tested the association of predicted gene expression with phenotypes based on GWAS summary statistics by leveraging the information on genetic regulation of gene expression and found many novel loci. However, as genetic variants may have effects on more than one gene and through different mechanisms, these methods likely only capture part of the total effects of these variants. In this paper, we propose a summary statistics-based mixed effects score test (sMiST) that tests for the total effect of both the effect of the mediator by imputing genetically predicted gene expression, like S-PrediXcan and TWAS, and the direct effects of individual variants. It allows for multiple functional annotations and multiple genetically predicted mediators. It can also perform conditional association analysis while adjusting for other genetic variants (e.g., known loci for the phenotype). Extensive simulation and real data analyses demonstrate that sMiST yields p-values that agree well with those obtained from individual level data but with substantively improved computational speed. Importantly, a broad application of sMiST to GWAS is possible, as only summary statistics of genetic variant associations are required. We apply sMiST to a large-scale GWAS of colorectal cancer using summary statistics from ∼120, 000 study participants and gene expression data from the Genotype-Tissue Expression (GTEx) project. We identify several novel and secondary independent genetic loci.

Published
2020

16. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, Freisling, H, Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, and Freisling, H

Abstract

BACKGROUND: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, we

Published
2020

17. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

Author

Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, Gunter, MJ, Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, and Gunter, MJ

Abstract

BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative meta

Published
2020

18. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival

Author

Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, Peters, U, Zaidi, SH, Harrison, TA, Phipps, A, Steinfelder, R, Trinh, QM, Qu, C, Banbury, BL, Georgeson, P, Grasso, CS, Giannakis, M, Adams, JB, Alwers, E, Amitay, EL, Barfield, RT, Berndt, S, Borozan, I, Brenner, H, Brezina, S, Buchanan, DD, Cao, Y, Chan, AT, Chang-Claude, J, Connolly, CM, Drew, DA, Farris, AB, Figueiredo, JC, French, AJ, Fuchs, CS, Garraway, LA, Gruber, S, Guinter, MA, Hamilton, SR, Harlid, S, Heisler, LE, Hidaka, A, Hopper, JL, Huang, W-Y, Huyghe, JR, Jenkins, MA, Krzyzanowski, PM, Lemire, M, Lin, Y, Luo, X, Mardis, ER, McPherson, JD, Miller, JK, Moreno, V, Mu, XJ, Nishihara, R, Papadopoulos, N, Pasternack, D, Quist, MJ, Rafikova, A, Reid, EEG, Shinbrot, E, Shirts, BH, Stein, LD, Teney, CD, Timms, L, Um, CY, Van Guelpen, B, Van Tassel, M, Wang, X, Wheeler, DA, Yung, CK, Hsu, L, Ogino, S, Gsur, A, Newcomb, PA, Gallinger, S, Hoffmeister, M, Campbell, PT, Thibodeau, SN, Sun, W, Hudson, TJ, and Peters, U

Abstract

Colorectal cancer (CRC) is a biologically heterogeneous disease. To characterize its mutational profile, we conduct targeted sequencing of 205 genes for 2,105 CRC cases with survival data. Our data shows several findings in addition to enhancing the existing knowledge of CRC. We identify PRKCI, SPZ1, MUTYH, MAP2K4, FETUB, and TGFBR2 as additional genes significantly mutated in CRC. We find that among hypermutated tumors, an increased mutation burden is associated with improved CRC-specific survival (HR = 0.42, 95% CI: 0.21-0.82). Mutations in TP53 are associated with poorer CRC-specific survival, which is most pronounced in cases carrying TP53 mutations with predicted 0% transcriptional activity (HR = 1.53, 95% CI: 1.21-1.94). Furthermore, we observe differences in mutational frequency of several genes and pathways by tumor location, stage, and sex. Overall, this large study provides deep insights into somatic mutations in CRC, and their potential relationships with survival and tumor features.

Published
2020

19. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses

Author

Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, Gunter, MJ, Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, and Gunter, MJ

Abstract

BACKGROUND & AIMS: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. METHODS: Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) RESULTS: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 × 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 × 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene regi

Published
2020

20. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

Author

Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, Murphy, N, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Martin, RM, Lewis, SJ, Kazmi, N, Robinson, TM, Albanes, D, Aleksandrova, K, Berndt, SI, Bishop, DT, Brenner, H, Buchanan, DD, Bueno-de-Mesquita, B, Campbell, PT, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Ellingjord-Dale, M, Figueiredo, JC, Gallinger, SJ, Giles, GG, Giovannucci, E, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harlid, S, Harrison, TA, Hoffmeister, M, Hopper, JL, Hsu, L, Maria Huerta, J, Huyghe, JR, Jenkins, MA, Keku, TO, Kuehn, T, La Vecchia, C, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Lynch, B, Markowitz, SD, Masala, G, May, AM, Milne, R, Monninkhof, E, Moreno, L, Moreno, V, Newcomb, PA, Offit, K, Perduca, V, Pharoah, PDP, Platz, EA, Potter, JD, Rennert, G, Riboli, E, Sanchez, M-J, Schmit, SL, Schoen, RE, Severi, G, Sieri, S, Slattery, ML, Song, M, Tangen, CM, Thibodeau, SN, Travis, RC, Trichopoulou, A, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Vodicka, P, White, E, Wolk, A, Woods, MO, Wu, AH, Peters, U, Gunter, MJ, and Murphy, N

Abstract

Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers.

Published
2020

21. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer (vol 138, pg 307, 2019)

Author

Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, Peters, U, Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, and Peters, U

Abstract

Every author has erroneously been assigned to the affiliation "62". The affiliation 62 belongs to the author Graham Casey.

Published
2019

22. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author

Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, Gruber, SB, Schmit, SL, Edlund, CK, Schumacher, FR, Gong, J, Harrison, TA, Huyghe, JR, Qu, C, Melas, M, Van den Berg, DJ, Wang, H, Tring, S, Plummer, SJ, Albanes, D, Alonso, MH, Amos, CI, Anton, K, Aragaki, AK, Arndt, V, Barry, EL, Berndt, SI, Bezieau, S, Bien, S, Bloomer, A, Boehm, J, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buchanan, DD, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castelao, JE, Chan, AT, Chang-Claude, J, Chanock, SJ, Cheng, I, Cheng, Y-W, Chin, LS, Church, JM, Church, T, Coetzee, GA, Cotterchio, M, Correa, MC, Curtis, KR, Duggan, D, Easton, DF, English, D, Feskens, EJM, Fischer, R, FitzGerald, LM, Fortini, BK, Fritsche, LG, Fuchs, CS, Gago-Dominguez, M, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Giovannucci, EL, Gogarten, SM, Gonzalez-Villalpando, C, Gonzalez-Villalpando, EM, Grady, WM, Greenson, JK, Gsur, A, Gunter, M, Haiman, CA, Hampe, J, Harlid, S, Harju, JF, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Huang, S-C, Huerta, JM, Hudson, TJ, Hunter, DJ, Idos, GE, Iwasaki, M, Jackson, RD, Jacobs, EJ, Jee, SH, Jenkins, MA, Jia, W-H, Jiao, S, Joshi, AD, Kolonel, LN, Kono, S, Kooperberg, C, Krogh, V, Kuehn, T, Kury, S, LaCroix, A, Laurie, CA, Lejbkowicz, F, Lemire, M, Lenz, H-J, Levine, D, Li, CI, Li, L, Lieb, W, Lin, Y, Lindor, NM, Liu, Y-R, Loupakis, F, Lu, Y, Luh, F, Ma, J, Mancao, C, Manion, FJ, Markowitz, SD, Martin, V, Matsuda, K, Matsuo, K, McDonnell, KJ, McNeil, CE, Milne, R, Molina, AJ, Mukherjee, B, Murphy, N, Newcomb, PA, Offit, K, Omichessan, H, Palli, D, Cotore, JPP, Perez-Mayoral, J, Pharoah, PD, Potter, JD, Raskin, L, Rennert, G, Rennert, HS, Riggs, BM, Schafmayer, C, Schoen, RE, Sellers, TA, Seminara, D, Severi, G, Shi, W, Shibata, D, Shu, X-O, Siegel, EM, Slattery, ML, Southey, M, Stadler, ZK, Stern, MC, Stintzing, S, Taverna, D, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Tsugane, S, Ulrich, CM, van Duijnhoven, FJB, van Guelpan, B, Vijai, J, Virtamo, J, Weinstein, SJ, White, E, Win, AK, Wolk, A, Woods, M, Wu, AH, Wu, K, Xiang, Y-B, Yen, Y, Zanke, BW, Zeng, Y-X, Zhang, B, Zubair, N, Kweon, S-S, Figueiredo, JC, Zheng, W, Le Marchand, L, Lindblom, A, Moreno, V, Peters, U, Casey, G, Hsu, L, Conti, DV, and Gruber, SB

Abstract

BACKGROUND: Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. METHODS: We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. RESULTS: The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. CONCLUSIONS: T

Published
2019

23. Shared heritability and functional enrichment across six solid cancers

Author

Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboeller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, defazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Doerk, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuhl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Aguado-Barrera, ME, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, Mckay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S

Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

Published
2019

24. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer

Author

Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, Peters, U, Bien, SA, Su, Y-R, Conti, DV, Harrison, TA, Qu, C, Guo, X, Lu, Y, Albanes, D, Auer, PL, Banbury, BL, Berndt, SI, Bezieau, S, Brenner, H, Buchanan, DD, Caan, BJ, Campbell, PT, Carlson, CS, Chan, AT, Chang-Claude, J, Chen, S, Connolly, CM, Easton, DF, Feskens, EJM, Gallinger, S, Giles, GG, Gunter, MJ, Hampe, J, Huyghe, JR, Hoffmeister, M, Hudson, TJ, Jacobs, EJ, Jenkins, MA, Kampman, E, Kang, HM, Kuehn, T, Kury, S, Lejbkowicz, F, Le Marchand, L, Milne, RL, Li, L, Li, CI, Lindblom, A, Lindor, NM, Martin, V, McNeil, CE, Melas, M, Moreno, V, Newcomb, PA, Offit, K, Pharaoh, PDP, Potter, JD, Riboli, E, Rennert, G, Sala, N, Schafmayer, C, Scacheri, PC, Schmit, SL, Severi, G, Slattery, ML, Smith, JD, Trichopoulou, A, Tumino, R, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Casey, G, Nickerson, DA, Gruber, SB, Hsu, L, Zheng, W, and Peters, U

Abstract

Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10- 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10- 4, replication P = 6.7 × 10- 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight in

Published
2019

25. Discovery of common and rare genetic risk variants for colorectal cancer

Author

Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, Peters, U, Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, and Peters, U

Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.

Published
2019

26. Shared heritability and functional enrichment across six solid cancers (vol 10, 431, 2019)

Author

Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, Lindstrom, S, Jiang, X, Finucane, HK, Schumacher, FR, Schmit, SL, Tyrer, JP, Han, Y, Michailidou, K, Lesseur, C, Kuchenbaecker, KB, Dennis, J, Conti, DV, Casey, G, Gaudet, MM, Huyghe, JR, Albanes, D, Aldrich, MC, Andrew, AS, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Antonenkova, NN, Arnold, SM, Aronson, KJ, Arun, BK, Bandera, EV, Barkardottir, RB, Barnes, DR, Batra, J, Beckmann, MW, Benitez, J, Benlloch, S, Berchuck, A, Berndt, SI, Bickeboller, H, Bien, SA, Blomqvist, C, Boccia, S, Bogdanova, NV, Bojesen, SE, Bolla, MK, Brauch, H, Brenner, H, Brenton, JD, Brook, MN, Brunet, J, Brunnstrom, H, Buchanan, DD, Burwinkel, B, Butzow, R, Cadoni, G, Caldes, T, Caligo, MA, Campbell, I, Campbell, PT, Cancel-Tassin, G, Cannon-Albright, L, Campa, D, Caporaso, N, Carvalho, AL, Chan, AT, Chang-Claude, J, Chanock, SJ, Chen, C, Christiani, DC, Claes, KBM, Claessens, F, Clements, J, Collee, JM, Correa, MC, Couch, FJ, Cox, A, Cunningham, JM, Cybulski, C, Czene, K, Daly, MB, deFazio, A, Devilee, P, Diez, O, Gago-Dominguez, M, Donovan, JL, Dork, T, Duell, EJ, Dunning, AM, Dwek, M, Eccles, DM, Edlund, CK, Edwards, DRV, Ellberg, C, Evans, DG, Fasching, PA, Ferris, RL, Liloglou, T, Figueiredo, JC, Fletcher, O, Fortner, RT, Fostira, F, Franceschi, S, Friedman, E, Gallinger, SJ, Ganz, PA, Garber, J, Garcia-Saenz, JA, Gayther, SA, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Goode, EL, Goodman, MT, Goodman, G, Grankvist, K, Greene, MH, Gronberg, H, Gronwald, J, Guenel, P, Hakansson, N, Hall, P, Hamann, U, Hamdy, FC, Hamilton, RJ, Hampe, J, Haugen, A, Heitz, F, Herrero, R, Hillemanns, P, Hoffmeister, M, Hogdall, E, Hong, Y-C, Hopper, JL, Houlston, R, Hulick, PJ, Hunter, DJ, Huntsman, DG, Idos, G, Imyanitov, EN, Ingles, SA, Isaacs, C, Jakubowska, A, James, P, Jenkins, MA, Johansson, M, John, EM, Joshi, AD, Kaneva, R, Karlan, BY, Kelemen, LE, Kuehl, T, Khaw, K-T, Khusnutdinova, E, Kibel, AS, Kiemeney, LA, Kim, J, Kjaer, SK, Knight, JA, Kogevinas, M, Kote-Jarai, Z, Koutros, S, Kristensen, VN, Kupryjanczyk, J, Lacko, M, Lam, S, Lambrechts, D, Landi, MT, Lazarus, P, Le, ND, Lee, E, Lejbkowicz, F, Lenz, H-J, Leslie, G, Lessel, D, Lester, J, Levine, DA, Li, L, Li, CI, Lindblom, A, Lindor, NM, Liu, G, Loupakis, F, Lubinski, J, Maehle, L, Maier, C, Mannermaa, A, Le Marchand, L, Margolin, S, May, T, McGuffog, L, Meindl, A, Middha, P, Miller, A, Milne, RL, MacInnis, RJ, Modugno, F, Montagna, M, Moreno, V, Moysich, KB, Mucci, L, Muir, K, Mulligan, AM, Nathanson, KL, Neal, DE, Ness, AR, Neuhausen, SL, Nevanlinna, H, Newcomb, PA, Newcomb, LF, Nielsen, FC, Nikitina-Zake, L, Nordestgaard, BG, Nussbaum, RL, Offit, K, Olah, E, Al Olama, AA, Olopade, OI, Olshan, AF, Olsson, H, Osorio, A, Pandha, H, Park, JY, Pashayan, N, Parsons, MT, Pejovic, T, Penney, KL, Peters, WHM, Phelan, CM, Phipps, AI, Plaseska-Karanfilska, D, Pring, M, Prokofyeva, D, Radice, P, Stefansson, K, Ramus, SJ, Raskin, L, Rennert, G, Rennert, HS, van Rensburg, EJ, Riggan, MJ, Risch, HA, Risch, A, Roobol, MJ, Rosenstein, BS, Rossing, MA, De Ruyck, K, Saloustros, E, Sandler, DP, Sawyer, EJ, Schabath, MB, Schleutker, J, Schmidt, MK, Setiawan, VW, Shen, H, Siegel, EM, Sieh, W, Singer, CF, Slattery, ML, Sorensen, KD, Southey, MC, Spurdle, AB, Stanford, JL, Stevens, VL, Stintzing, S, Stone, J, Sundfeldt, K, Sutphen, R, Swerdlow, AJ, Tajara, EH, Tangen, CM, Tardon, A, Taylor, JA, Teare, MD, Teixeira, MR, Terry, MB, Terry, KL, Thibodeau, SN, Thomassen, M, Bjorge, L, Tischkowitz, M, Toland, AE, Torres, D, Townsend, PA, Travis, RC, Tung, N, Tworoger, SS, Ulrich, CM, Usmani, N, Vachon, CM, Van Nieuwenhuysen, E, Vega, A, Elias Aguado-Barrera, M, Wang, Q, Webb, PM, Weinberg, CR, Weinstein, S, Weissler, MC, Weitzel, JN, West, CML, White, E, Whittemore, AS, Wichmann, H-E, Wiklund, F, Winqvist, R, Wolk, A, Woll, P, Woods, M, Wu, AH, Wu, X, Yannoukakos, D, Zheng, W, Zienolddiny, S, Ziogas, A, Zorn, KK, Lane, JM, Saxena, R, Thomas, D, Hung, RJ, Diergaarde, B, McKay, J, Peters, U, Hsu, L, Garcia-Closas, M, Eeles, RA, Chenevix-Trench, G, Brennan, PJ, Haiman, CA, Simard, J, Easton, DF, Gruber, SB, Pharoah, PDP, Price, AL, Pasaniuc, B, Amos, CI, Kraft, P, and Lindstrom, S

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2019

27. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.

Author

Flannick, J, Fuchsberger, C, Mahajan, A, Teslovich, TM, Agarwala, V, Gaulton, KJ, Caulkins, L, Koesterer, R, Ma, C, Moutsianas, L, McCarthy, DJ, Rivas, MA, Perry, JRB, Sim, X, Blackwell, TW, Robertson, NR, Rayner, NW, Cingolani, P, Locke, AE, Tajes, JF, Highland, HM, Dupuis, J, Chines, PS, Lindgren, CM, Hartl, C, Jackson, AU, Chen, H, Huyghe, JR, van de Bunt, M, Pearson, RD, Kumar, A, Mueller-Nurasyid, M, Grarup, N, Stringham, HM, Gamazon, ER, Lee, J, Chen, Y, Scott, RA, Below, JE, Chen, P, Huang, J, Go, MJ, Stitzel, ML, Pasko, D, Parker, SCJ, Varga, TV, Green, T, Beer, NL, Day-Williams, AG, Ferreira, T, Fingerlin, T, Horikoshi, M, Hu, C, Huh, I, Ikram, MK, Kim, B-J, Kim, Y, Kim, YJ, Kwon, M-S, Lee, S, Lin, K-H, Maxwell, TJ, Nagai, Y, Wang, X, Welch, RP, Yoon, J, Zhang, W, Barzilai, N, Voight, BF, Han, B-G, Jenkinson, CP, Kuulasmaa, T, Kuusisto, J, Manning, A, Ng, MCY, Palmer, ND, Balkau, B, Stancakova, A, Abboud, HE, Boeing, H, Giedraitis, V, Prabhakaran, D, Gottesman, O, Scott, J, Carey, J, Kwan, P, Grant, G, Smith, JD, Neale, BM, Purcell, S, Butterworth, AS, Howson, JMM, Lee, HM, Lu, Y, Kwak, S-H, Zhao, W, Danesh, J, Lam, VKL, Park, KS, Saleheen, D, So, WY, Tam, CHT, Afzal, U, Aguilar, D, Arya, R, Aung, T, Chan, E, Navarro, C, Cheng, C-Y, Palli, D, Correa, A, Curran, JE, Rybin, D, Farook, VS, Fowler, SP, Freedman, BI, Griswold, M, Hale, DE, Hicks, PJ, Khor, C-C, Kumar, S, Lehne, B, Thuillier, D, Lim, WY, Liu, J, Loh, M, Musani, SK, Puppala, S, Scott, WR, Yengo, L, Tan, S-T, Taylor, HA, Thameem, F, Wilson, G, Wong, TY, Njolstad, PR, Levy, JC, Mangino, M, Bonnycastle, LL, Schwarzmayr, T, Fadista, J, Surdulescu, GL, Herder, C, Groves, CJ, Wieland, T, Bork-Jensen, J, Brandslund, I, Christensen, C, Koistinen, HA, Doney, ASF, Kinnunen, L, Esko, T, Farmer, AJ, Hakaste, L, Hodgkiss, D, Kravic, J, Lyssenko, V, Hollensted, M, Jorgensen, ME, Jorgensen, T, Ladenvall, C, Justesen, JM, Karajamaki, A, Kriebel, J, Rathmann, W, Lannfelt, L, Lauritzen, T, Narisu, N, Linneberg, A, Melander, O, Milani, L, Neville, M, Orho-Melander, M, Qi, L, Qi, Q, Roden, M, Rolandsson, O, Swift, A, Rosengren, AH, Stirrups, K, Wood, AR, Mihailov, E, Blancher, C, Carneiro, MO, Maguire, J, Poplin, R, Shakir, K, Fennell, T, DePristo, M, de Angelis, MH, Deloukas, P, Gjesing, AP, Jun, G, Nilsson, PM, Murphy, J, Onofrio, R, Thorand, B, Hansen, T, Meisinger, C, Hu, FB, Isomaa, B, Karpe, F, Liang, L, Peters, A, Huth, C, O'Rahilly, SP, Palmer, CNA, Pedersen, O, Rauramaa, R, Tuomilehto, J, Salomaa, V, Watanabe, RM, Syvanen, A-C, Bergman, RN, Bharadwaj, D, Bottinger, EP, Cho, YS, Chandak, GR, Chan, JC, Chia, KS, Daly, MJ, Ebrahim, SB, Langenberg, C, Elliott, P, Jablonski, KA, Lehman, DM, Jia, W, Ma, RCW, Pollin, TI, Sandhu, M, Tandon, N, Froguel, P, Barroso, I, Teo, YY, Zeggini, E, Loos, RJF, Small, KS, Ried, JS, DeFronzo, RA, Grallert, H, Glaser, B, Metspalu, A, Wareham, NJ, Walker, M, Banks, E, Gieger, C, Ingelsson, E, Im, HK, Illig, T, Franks, PW, Buck, G, Trakalo, J, Buck, D, Prokopenko, I, Magi, R, Lind, L, Farjoun, Y, Owen, KR, Gloyn, AL, Strauch, K, Tuomi, T, Kooner, JS, Lee, J-Y, Park, T, Donnelly, P, Morris, AD, Hattersley, AT, Bowden, DW, Collins, FS, Atzmon, G, Chambers, JC, Spector, TD, Laakso, M, Strom, TM, Bell, GI, Blangero, J, Duggirala, R, Tai, E, McVean, G, Hanis, CL, Wilson, JG, Seielstad, M, Frayling, TM, Meigs, JB, Cox, NJ, Sladek, R, Lander, ES, Gabriel, S, Mohlke, KL, Meitinger, T, Groop, L, Abecasis, G, Scott, LJ, Morris, AP, Kang, HM, Altshuler, D, Burtt, NP, Florez, JC, Boehnke, M, McCarthy, MI, Flannick, J, Fuchsberger, C, Mahajan, A, Teslovich, TM, Agarwala, V, Gaulton, KJ, Caulkins, L, Koesterer, R, Ma, C, Moutsianas, L, McCarthy, DJ, Rivas, MA, Perry, JRB, Sim, X, Blackwell, TW, Robertson, NR, Rayner, NW, Cingolani, P, Locke, AE, Tajes, JF, Highland, HM, Dupuis, J, Chines, PS, Lindgren, CM, Hartl, C, Jackson, AU, Chen, H, Huyghe, JR, van de Bunt, M, Pearson, RD, Kumar, A, Mueller-Nurasyid, M, Grarup, N, Stringham, HM, Gamazon, ER, Lee, J, Chen, Y, Scott, RA, Below, JE, Chen, P, Huang, J, Go, MJ, Stitzel, ML, Pasko, D, Parker, SCJ, Varga, TV, Green, T, Beer, NL, Day-Williams, AG, Ferreira, T, Fingerlin, T, Horikoshi, M, Hu, C, Huh, I, Ikram, MK, Kim, B-J, Kim, Y, Kim, YJ, Kwon, M-S, Lee, S, Lin, K-H, Maxwell, TJ, Nagai, Y, Wang, X, Welch, RP, Yoon, J, Zhang, W, Barzilai, N, Voight, BF, Han, B-G, Jenkinson, CP, Kuulasmaa, T, Kuusisto, J, Manning, A, Ng, MCY, Palmer, ND, Balkau, B, Stancakova, A, Abboud, HE, Boeing, H, Giedraitis, V, Prabhakaran, D, Gottesman, O, Scott, J, Carey, J, Kwan, P, Grant, G, Smith, JD, Neale, BM, Purcell, S, Butterworth, AS, Howson, JMM, Lee, HM, Lu, Y, Kwak, S-H, Zhao, W, Danesh, J, Lam, VKL, Park, KS, Saleheen, D, So, WY, Tam, CHT, Afzal, U, Aguilar, D, Arya, R, Aung, T, Chan, E, Navarro, C, Cheng, C-Y, Palli, D, Correa, A, Curran, JE, Rybin, D, Farook, VS, Fowler, SP, Freedman, BI, Griswold, M, Hale, DE, Hicks, PJ, Khor, C-C, Kumar, S, Lehne, B, Thuillier, D, Lim, WY, Liu, J, Loh, M, Musani, SK, Puppala, S, Scott, WR, Yengo, L, Tan, S-T, Taylor, HA, Thameem, F, Wilson, G, Wong, TY, Njolstad, PR, Levy, JC, Mangino, M, Bonnycastle, LL, Schwarzmayr, T, Fadista, J, Surdulescu, GL, Herder, C, Groves, CJ, Wieland, T, Bork-Jensen, J, Brandslund, I, Christensen, C, Koistinen, HA, Doney, ASF, Kinnunen, L, Esko, T, Farmer, AJ, Hakaste, L, Hodgkiss, D, Kravic, J, Lyssenko, V, Hollensted, M, Jorgensen, ME, Jorgensen, T, Ladenvall, C, Justesen, JM, Karajamaki, A, Kriebel, J, Rathmann, W, Lannfelt, L, Lauritzen, T, Narisu, N, Linneberg, A, Melander, O, Milani, L, Neville, M, Orho-Melander, M, Qi, L, Qi, Q, Roden, M, Rolandsson, O, Swift, A, Rosengren, AH, Stirrups, K, Wood, AR, Mihailov, E, Blancher, C, Carneiro, MO, Maguire, J, Poplin, R, Shakir, K, Fennell, T, DePristo, M, de Angelis, MH, Deloukas, P, Gjesing, AP, Jun, G, Nilsson, PM, Murphy, J, Onofrio, R, Thorand, B, Hansen, T, Meisinger, C, Hu, FB, Isomaa, B, Karpe, F, Liang, L, Peters, A, Huth, C, O'Rahilly, SP, Palmer, CNA, Pedersen, O, Rauramaa, R, Tuomilehto, J, Salomaa, V, Watanabe, RM, Syvanen, A-C, Bergman, RN, Bharadwaj, D, Bottinger, EP, Cho, YS, Chandak, GR, Chan, JC, Chia, KS, Daly, MJ, Ebrahim, SB, Langenberg, C, Elliott, P, Jablonski, KA, Lehman, DM, Jia, W, Ma, RCW, Pollin, TI, Sandhu, M, Tandon, N, Froguel, P, Barroso, I, Teo, YY, Zeggini, E, Loos, RJF, Small, KS, Ried, JS, DeFronzo, RA, Grallert, H, Glaser, B, Metspalu, A, Wareham, NJ, Walker, M, Banks, E, Gieger, C, Ingelsson, E, Im, HK, Illig, T, Franks, PW, Buck, G, Trakalo, J, Buck, D, Prokopenko, I, Magi, R, Lind, L, Farjoun, Y, Owen, KR, Gloyn, AL, Strauch, K, Tuomi, T, Kooner, JS, Lee, J-Y, Park, T, Donnelly, P, Morris, AD, Hattersley, AT, Bowden, DW, Collins, FS, Atzmon, G, Chambers, JC, Spector, TD, Laakso, M, Strom, TM, Bell, GI, Blangero, J, Duggirala, R, Tai, E, McVean, G, Hanis, CL, Wilson, JG, Seielstad, M, Frayling, TM, Meigs, JB, Cox, NJ, Sladek, R, Lander, ES, Gabriel, S, Mohlke, KL, Meitinger, T, Groop, L, Abecasis, G, Scott, LJ, Morris, AP, Kang, HM, Altshuler, D, Burtt, NP, Florez, JC, Boehnke, M, and McCarthy, MI

Abstract

This corrects the article DOI: 10.1038/sdata.2017.179.

Published
2018

28. Data Descriptor: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Author

Flannick, J, Fuchsberger, C, Mahajan, A, Teslovich, TM, Agarwala, V, Gaulton, KJ, Caulkins, L, Koesterer, R, Ma, C, Moutsianas, L, McCarthy, DJ, Rivas, MA, Perry, JRB, Sim, X, Blackwell, TW, Robertson, NR, Rayner, NW, Cingolani, P, Locke, AE, Tajes, JF, Highland, HM, Dupuis, J, Chines, PS, Lindgren, CM, Hartl, C, Jackson, AU, Chen, H, Huyghe, JR, De Bunt, MV, Pearson, RD, Kumar, A, Muller-Nurasyid, M, Grarup, N, Stringham, HM, Gamazon, ER, Lee, J, Chen, Y, Scott, RA, Below, JE, Chen, P, Huang, J, Go, MJ, Stitzel, ML, Pasko, D, Parker, SCJ, Varga, TV, Green, T, Beer, NL, Day-Williams, AG, Ferreira, T, Fingerlin, T, Horikoshi, M, Hu, C, Huh, I, Ikram, MK, Kim, B-J, Kim, Y, Kim, YJ, Kwon, M-S, Lee, S, Lin, K-H, Maxwell, TJ, Nagai, Y, Wang, X, Welch, RP, Yoon, J, Zhang, W, Barzilai, N, Voight, BF, Han, B-G, Jenkinson, CP, Kuulasmaa, T, Kuusisto, J, Manning, A, Ng, MCY, Palmer, ND, Balkau, B, Stancakova, A, Abboud, HE, Boeing, H, Giedraitis, V, Prabhakaran, D, Gottesman, O, Scott, J, Carey, J, Kwan, P, Grant, G, Smith, JD, Neale, BM, Purcell, S, Butterworth, AS, Howson, JMM, Lee, HM, Lu, Y, Kwak, S-H, Zhao, W, Danesh, J, Lam, VKL, Park, KS, Saleheen, D, So, WY, Tam, CHT, Afzal, U, Aguilar, D, Arya, R, Aung, T, Chan, E, Navarro, C, Cheng, C-Y, Palli, D, Correa, A, Curran, JE, Rybin, D, Farook, VS, Fowler, SP, Freedman, BI, Griswold, M, Hale, DE, Hicks, PJ, Khor, C-C, Kumar, S, Lehne, B, Thuillier, D, Lim, WY, Liu, J, Loh, M, Musani, SK, Puppala, S, Scott, WR, Yengo, L, Tan, S-T, Taylor, HA, Thameem, F, Wilson, G, Wong, TY, Njolstad, PR, Levy, JC, Mangino, M, Bonnycastle, LL, Schwarzmayr, T, Fadista, J, Surdulescu, GL, Herder, C, Groves, CJ, Wieland, T, Bork-Jensen, J, Brandslund, I, Christensen, C, Koistinen, HA, Doney, ASF, Kinnunen, L, Esko, T, Farmer, AJ, Hakaste, L, Hodgkiss, D, Kravic, J, Lyssenko, V, Hollensted, M, Jorgensen, ME, Jorgensen, T, Ladenvall, C, Justesen, JM, Karajamaki, A, Kriebel, J, Rathmann, W, Lannfelt, L, Lauritzen, T, Narisu, N, Linneberg, A, Melander, O, Milani, L, Neville, M, Orho-Melander, M, Qi, L, Qi, Q, Roden, M, Rolandsson, O, Swift, A, Rosengren, AH, Stirrups, K, Wood, AR, Mihailov, E, Blancher, C, Carneiro, MO, Maguire, J, Poplin, R, Shakir, K, Fennell, T, DePristo, M, De Angelis, MH, Deloukas, P, Gjesing, AP, Jun, G, Nilsson, PM, Murphy, J, Onofrio, R, Thorand, B, Hansen, T, Meisinger, C, Hu, FB, Isomaa, B, Karpe, F, Liang, L, Peters, A, Huth, C, O'Rahilly, SP, Palmer, CNA, Pedersen, O, Rauramaa, R, Tuomilehto, J, Salomaa, V, Watanabe, RM, Syvanen, A-C, Bergman, RN, Bharadwaj, D, Bottinger, EP, Cho, YS, Chandak, GR, Chan, JC, Chia, KS, Daly, MJ, Ebrahim, SB, Langenberg, C, Elliott, P, Jablonski, KA, Lehman, DM, Jia, W, Ma, RC, Pollin, TI, Sandhu, M, Tandon, N, Froguel, P, Barroso, I, Teo, YY, Zeggini, E, Loos, RJF, Small, KS, Ried, JS, DeFronzo, RA, Grallert, H, Glaser, B, Metspalu, A, Wareham, NJ, Walker, M, Banks, E, Gieger, C, Ingelsson, E, Im, HK, Illig, T, Franks, PW, Buck, G, Trakalo, J, Buck, D, Prokopenko, I, Magi, R, Lind, L, Farjoun, Y, Owen, KR, Gloyn, AL, Strauch, K, Tuomi, T, Kooner, JS, Lee, J-Y, Park, T, Donnelly, P, Morris, AD, Hattersley, AT, Bowden, DW, Collins, FS, Atzmon, G, Chambers, JC, Spector, TD, Laakso, M, Strom, TM, Bell, GI, Blangero, J, Duggirala, R, Tai, E, McVean, G, Hanis, CL, Wilson, JG, Seielstad, M, Frayling, TM, Meigs, JB, Cox, NJ, Sladek, R, Lander, ES, Gabriel, S, Mohlke, KL, Meitinger, T, Groop, L, Abecasis, G, Scott, LJ, Morris, AP, Kang, HM, Altshuler, D, Burtt, NP, Florez, JC, Boehnke, M, McCarthy, MI, Flannick, J, Fuchsberger, C, Mahajan, A, Teslovich, TM, Agarwala, V, Gaulton, KJ, Caulkins, L, Koesterer, R, Ma, C, Moutsianas, L, McCarthy, DJ, Rivas, MA, Perry, JRB, Sim, X, Blackwell, TW, Robertson, NR, Rayner, NW, Cingolani, P, Locke, AE, Tajes, JF, Highland, HM, Dupuis, J, Chines, PS, Lindgren, CM, Hartl, C, Jackson, AU, Chen, H, Huyghe, JR, De Bunt, MV, Pearson, RD, Kumar, A, Muller-Nurasyid, M, Grarup, N, Stringham, HM, Gamazon, ER, Lee, J, Chen, Y, Scott, RA, Below, JE, Chen, P, Huang, J, Go, MJ, Stitzel, ML, Pasko, D, Parker, SCJ, Varga, TV, Green, T, Beer, NL, Day-Williams, AG, Ferreira, T, Fingerlin, T, Horikoshi, M, Hu, C, Huh, I, Ikram, MK, Kim, B-J, Kim, Y, Kim, YJ, Kwon, M-S, Lee, S, Lin, K-H, Maxwell, TJ, Nagai, Y, Wang, X, Welch, RP, Yoon, J, Zhang, W, Barzilai, N, Voight, BF, Han, B-G, Jenkinson, CP, Kuulasmaa, T, Kuusisto, J, Manning, A, Ng, MCY, Palmer, ND, Balkau, B, Stancakova, A, Abboud, HE, Boeing, H, Giedraitis, V, Prabhakaran, D, Gottesman, O, Scott, J, Carey, J, Kwan, P, Grant, G, Smith, JD, Neale, BM, Purcell, S, Butterworth, AS, Howson, JMM, Lee, HM, Lu, Y, Kwak, S-H, Zhao, W, Danesh, J, Lam, VKL, Park, KS, Saleheen, D, So, WY, Tam, CHT, Afzal, U, Aguilar, D, Arya, R, Aung, T, Chan, E, Navarro, C, Cheng, C-Y, Palli, D, Correa, A, Curran, JE, Rybin, D, Farook, VS, Fowler, SP, Freedman, BI, Griswold, M, Hale, DE, Hicks, PJ, Khor, C-C, Kumar, S, Lehne, B, Thuillier, D, Lim, WY, Liu, J, Loh, M, Musani, SK, Puppala, S, Scott, WR, Yengo, L, Tan, S-T, Taylor, HA, Thameem, F, Wilson, G, Wong, TY, Njolstad, PR, Levy, JC, Mangino, M, Bonnycastle, LL, Schwarzmayr, T, Fadista, J, Surdulescu, GL, Herder, C, Groves, CJ, Wieland, T, Bork-Jensen, J, Brandslund, I, Christensen, C, Koistinen, HA, Doney, ASF, Kinnunen, L, Esko, T, Farmer, AJ, Hakaste, L, Hodgkiss, D, Kravic, J, Lyssenko, V, Hollensted, M, Jorgensen, ME, Jorgensen, T, Ladenvall, C, Justesen, JM, Karajamaki, A, Kriebel, J, Rathmann, W, Lannfelt, L, Lauritzen, T, Narisu, N, Linneberg, A, Melander, O, Milani, L, Neville, M, Orho-Melander, M, Qi, L, Qi, Q, Roden, M, Rolandsson, O, Swift, A, Rosengren, AH, Stirrups, K, Wood, AR, Mihailov, E, Blancher, C, Carneiro, MO, Maguire, J, Poplin, R, Shakir, K, Fennell, T, DePristo, M, De Angelis, MH, Deloukas, P, Gjesing, AP, Jun, G, Nilsson, PM, Murphy, J, Onofrio, R, Thorand, B, Hansen, T, Meisinger, C, Hu, FB, Isomaa, B, Karpe, F, Liang, L, Peters, A, Huth, C, O'Rahilly, SP, Palmer, CNA, Pedersen, O, Rauramaa, R, Tuomilehto, J, Salomaa, V, Watanabe, RM, Syvanen, A-C, Bergman, RN, Bharadwaj, D, Bottinger, EP, Cho, YS, Chandak, GR, Chan, JC, Chia, KS, Daly, MJ, Ebrahim, SB, Langenberg, C, Elliott, P, Jablonski, KA, Lehman, DM, Jia, W, Ma, RC, Pollin, TI, Sandhu, M, Tandon, N, Froguel, P, Barroso, I, Teo, YY, Zeggini, E, Loos, RJF, Small, KS, Ried, JS, DeFronzo, RA, Grallert, H, Glaser, B, Metspalu, A, Wareham, NJ, Walker, M, Banks, E, Gieger, C, Ingelsson, E, Im, HK, Illig, T, Franks, PW, Buck, G, Trakalo, J, Buck, D, Prokopenko, I, Magi, R, Lind, L, Farjoun, Y, Owen, KR, Gloyn, AL, Strauch, K, Tuomi, T, Kooner, JS, Lee, J-Y, Park, T, Donnelly, P, Morris, AD, Hattersley, AT, Bowden, DW, Collins, FS, Atzmon, G, Chambers, JC, Spector, TD, Laakso, M, Strom, TM, Bell, GI, Blangero, J, Duggirala, R, Tai, E, McVean, G, Hanis, CL, Wilson, JG, Seielstad, M, Frayling, TM, Meigs, JB, Cox, NJ, Sladek, R, Lander, ES, Gabriel, S, Mohlke, KL, Meitinger, T, Groop, L, Abecasis, G, Scott, LJ, Morris, AP, Kang, HM, Altshuler, D, Burtt, NP, Florez, JC, Boehnke, M, and McCarthy, MI

Abstract

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

Published
2017

29. Physical activity and risks of breast and colorectal cancer : a Mendelian randomisation analysis

Author

Michael O. Woods, Fränzel J.B. van Duijnhoven, Tilman Kühn, Graham G. Giles, Temitope O. Keku, Konstantinos K. Tsilidis, Andrew T. Chan, Mingyang Song, Michael Hoffmeister, Gad Rennert, Tabitha A. Harrison, Anna H. Wu, Kenneth Offit, Mark A. Jenkins, Elizabeth A Platz, Sabina Sieri, Noralane M Lindor, John D. Potter, D Timothy Bishop, Barbara L. Banbury, Anne M. May, Sonja I. Berndt, José María Huerta, Antonia Trichopoulou, Paul D.P. Pharoah, Niki Dimou, Christopher I. Li, Roger L. Milne, Marc J. Gunter, Hermann Brenner, Martha L. Slattery, Catherine M. Tangen, Gianluca Severi, Richard M. Martin, Nabila Kazmi, Ruth C. Travis, Sanford D. Markowitz, Jeroen R. Huyghe, Heather Hampel, Ulrike Peters, John L. Hopper, Brigid M. Lynch, Krasimira Aleksandrova, Alicja Wolk, Merete Ellingjord-Dale, Li Li, Bethany Van Guelpen, Sergi Castellví-Bel, Edward Giovannucci, Steven J Gallinger, Annika Lindblom, Cornelia M. Ulrich, Stephen B. Gruber, Stephanie L. Schmit, Jenny Chang-Claude, Lorena Moreno, Victor Moreno, Nikos Papadimitriou, Stephen N. Thibodeau, Elio Riboli, Sophia Harlid, Polly A. Newcomb, Pavel Vodicka, Demetrius Albanes, Bas Bueno-de-Mesquita, Maria J. Sánchez, Sarah J Lewis, Timothy Robinson, Daniel D Buchanan, Loic Le Marchand, Carlo La Vecchia, Robert E Schoen, Neil Murphy, Giovanna Masala, Evelyn M. Monninkhof, Jane C. Figueiredo, Andrea Gsur, Jochen Hampe, Vittorio Perduca, Li Hsu, Emily White, Peter T. Campbell, School of Public Health - Department of Epidemiology and Biostatistics, Imperial College London, University of Bristol [Bristol], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Epidemiology, German Institute of Human Nutrition, Division of Cancer Epidemiology and Genetics [Bethesda, MD, États-Unis], National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment [Bilthoven] (RIVM), The Cancer, Ageing and Somatic Mutation Programme [Cambridgeshire, UK], The Wellcome Trust Sanger Institute [Cambridge], Division of Cancer Epidemiology, Samuel Lunenfeld Research Institute, Mount Sinai Hospital [Toronto, Canada] (MSH), University of Melbourne, Harvard School of Public Health, Department of Internal Medicine, Epidemiology, Human Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Medical Department 1 [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Ohio State University [Columbus] (OSU), FESTO, Universität Stuttgart [Stuttgart], Centre for MEGA Epidemiology, The University of Melbourne, Victoria, Australia, CIBER de Epidemiología y Salud Pública (CIBERESP), Department of Medical Genetics, HMNC Brain Health, Department of Clinical Sciences and Community Health [Milan, Italy], Università degli Studi di Milano [Milano] (UNIMI), University of Hawai‘i [Mānoa] (UHM), Chinese Center for Disease Control and Prevention, Department of Clinical Genetics, Karolinska University Hospital [Stockholm], Mayo Clinic, Case Western Reserve University [Cleveland], Cancer Risk Factors and LifeStyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Cancer Epidemiology Centre, Cancer Council Victoria, Biomedical Research Centre Network for Rare Diseases, CIBER de Enfermedades Raras (CIBERER), Memorial Sloane Kettering Cancer Center [New York], Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Department of Oncology, University of Cambridge [UK] (CAM), Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU), Department of Community Medicine and Epidemiology, CHS National Cancer Control Center, School of Public Health [London, UK] (Faculty of Medicine), Andalusian School of Public Health [Granada], Istituto Nazionale dei Tumori, Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Mayo Clinic [Rochester], University of Oxford [Oxford], WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens]-University of Athens Medical School [Athens], Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Department of Medical Biosciences and Pathology, Umeå University, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Karolinska Institutet [Stockholm], Nutrition and Metabolism Section, International Agency for Research on Cancer, [Papadimitriou,N, Dimou,N, Gunter,MJ, Murphy,N] Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France. [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Tsilidis,KK, Ellingjord-Dale,M, Riboli,E] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. [Banbury,B, Harrison,TA, Hsu,L, Huyghe,JR, Li,CI, Newcomb,PA, Potter,JD, White,E, Peters,U] Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. [Martin,RM, Kazmi,N] MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. [Martin,RM, Lewis,SJ, Robinson,TM] Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK. [Martin,RM] National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK. [Albanes,D, Berndt,SI] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MA, USA. [Aleksandrova,K] German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. [Bishop,DT] Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK. [Brenner,H, Hoffmeister,M] Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Brenner,H] Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany. [Brenner,H] German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany. [Buchanan,DD, Giles,GG, Hopper,JL, Jenkins,MA, Lynch,B, Milne,R] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. [Buchanan,DD] Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia. [Buchanan,DD] Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC, Australia [Bueno-de-Mesquita,B] Former senior scientist, Dept. for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), BA Bilthoven, Netherlands. [Bueno-de-Mesquita,B] Former associate professor, Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, Netherlands. [Bueno-de-Mesquita,B] ormer visiting professor, Dept. of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London, London, UK. [Bueno-de-Mesquita,B] Former academic Icon / visiting professor, Dept. of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, Kuala Lumpur, Malaysia. [Campbell,PT] Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA. [Castellví-Bel,S, Moreno,L] Gastroenterology Department, Hospital Clínic, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain. [Chan,AT, Song,M] Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. [Chan,AT, Song,M] Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. [Chang-Claude,J, Kühn,T] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Chang-Claude,J] University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany. [Figueiredo,JC] Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. [Figueiredo,JC] Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. [Gallinger,SJ] Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, Canada. [Giles,GG, Milne,R] Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia. [Giovannucci,E, Song,M] Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. [Giovannucci,E, Song,M] Department of Nutrition, T.H. H, Chan School of Public Health, Boston, MA, USA. [Giovannucci,E] Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA. [Gruber,SB, Schmit,SL] Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. [Gsur,A] Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria. [Hampe,J] Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany. [Hampel,H] Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. [Harlid,S] Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden. [Hopper,JL] Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea. [Hsu,L] Department of Biostatistics, University of Washington, Seattle, WA, USA. [Huerta,JM, Moreno,V, Sánchez,MJ] CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Keku,TO] Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA. [La Vecchia,C, Trichopoulou,A] Hellenic Health Foundation, Athens, Greece. [La Vecchia,C] Dept. of Clinical Sciences and Community Health, Università degli Studi di Milano, Milano, Italy. [Le Marchand,L] University of Hawaii Cancer Center, Honolulu, HI, USA. [Li,L] Department of Family Medicine, University of Virginia, Charlottesville, VA, USA. [Lindblom,A] Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden. [Lindblom,A] Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden. [Lindor,NM] Department of Health Science Research, Mayo Clinic, Scottsdale, AZ, USA. [Lynch,B] Physical Activity Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia. [Markowitz,SD] Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University, and University Hospitals of Cleveland, Cleveland, OH, USA. [Masala,G] Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy. [May,AM, Monninkhof,E] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, GA UTRECHT, Netherlands. [Milne,R] Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, VIC, Australia. [Moreno,V] Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain. [Moreno,V] Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain. [Newcomb,PA] School of Public Health, University of Washington, Seattle, WA, USA. [Offit,K] Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA. [Offit,K] Department of Medicine, Weill Cornell Medical College, New York, NY, USA. [Perduca,V, Severi,G] CESP, Fac. de médecine - Univ. ParisSud, Fac. de médecine - UVSQ I, Université Paris-Saclay, Villejuif, France. [Perduca,V, Severi,G] Gustave Roussy, Villejuif, France. [Perduca,V] Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France. [Pharoah,PDP] Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [Platz,EA] Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. [Rennert,G] Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel. [Rennert,G] 7Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. [Rennert,G] Clalit National Cancer Control Center, Haifa, Israel. [Sánchez,MJ] Andalusian School of Public Health, Biomedical Research Institute ibs.GRANADA, University of Granada, Granada, Spain. [Schmit,SL] Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. [Schoen,RE] Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. [Sieri,S] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Slattery,ML] Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA. [Tangen,CM] SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. [Thibodeau,SN] Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. [Travis,RC] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Ulrich,CM] Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA. [van Duijnhoven,FJB] Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands. [Van Guelpen,B] Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden. [Van Guelpen,B] Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden. [Vodicka,P] Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic. [Vodicka,P] Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic. [Vodicka,P] Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic. [White,E, Peters,U] Department of Epidemiology, University of Washington, Seattle, WA, USA. [Wolk,A] Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. [Woods,MO] Memorial University of Newfoundland, Discipline of Genetics, St. John’s, Canada. [Wu,AH] University of Southern California, Preventative Medicine, Los Angeles, CA, USA., This work was supported by the National Cancer Institute, the International Agency for Research on Cancer and a Cancer Research UK program grant (C18281/A19169 to RMM, SJL & NK). RMM was supported by the National Institute for Health Research (NIHR) Bristol Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The funding sources for BCAC, CCFR, GECCO, and CORECT consortia are presented in detail in the appendix in the Supplementary material., Tsilidis, Konstantinos K [0000-0002-8452-8472], Martin, Richard M [0000-0002-7992-7719], Lewis, Sarah J [0000-0003-4311-6890], Robinson, Timothy M [0000-0003-0933-646X], Timothy Bishop, D [0000-0002-8752-8785], Buchanan, Daniel D [0000-0003-2225-6675], Chan, Andrew T [0000-0001-7284-6767], Giles, Graham G [0000-0003-4946-9099], Gsur, Andrea [0000-0002-9795-1528], Hampe, Jochen [0000-0002-2421-6127], Hampel, Heather [0000-0001-7558-9794], Harlid, Sophia [0000-0001-8540-6891], Harrison, Tabitha A [0000-0002-4173-7530], María Huerta, José [0000-0002-9637-3869], Huyghe, Jeroen R [0000-0001-6027-9806], Jenkins, Mark A [0000-0002-8964-6160], La Vecchia, Carlo [0000-0003-1441-897X], Masala, Giovanna [0000-0002-5758-9069], Milne, Roger [0000-0001-5764-7268], Moreno, Victor [0000-0002-2818-5487], Newcomb, Polly A [0000-0001-8786-0043], Perduca, Vittorio [0000-0003-0339-0473], Pharoah, Paul D P [0000-0001-8494-732X], Potter, John D [0000-0001-5439-1500], Rennert, Gad [0000-0002-8512-068X], Riboli, Elio [0000-0001-6795-6080], Schmit, Stephanie L [0000-0001-5931-1194], Schoen, Robert E [0000-0001-7153-2766], Van Guelpen, Bethany [0000-0002-9692-101X], Wolk, Alicja [0000-0001-7387-6845], Peters, Ulrike [0000-0001-5666-9318], Murphy, Neil [0000-0003-3347-8249], Apollo - University of Cambridge Repository, Tsilidis, Konstantinos K. [0000-0002-8452-8472], Martin, Richard M. [0000-0002-7992-7719], Lewis, Sarah J. [0000-0003-4311-6890], Timothy Bishop, D. [0000-0002-8752-8785], Buchanan, Daniel D. [0000-0003-2225-6675], Chan, Andrew T. [0000-0001-7284-6767], Giles, Graham G. [0000-0003-4946-9099], Harrison, Tabitha A. [0000-0002-4173-7530], Huyghe, Jeroen R. [0000-0001-6027-9806], Jenkins, Mark A. [0000-0002-8964-6160], Newcomb, Polly A. [0000-0001-8786-0043], Pharoah, Paul D. P. [0000-0001-8494-732X], Potter, John D. [0000-0001-5439-1500], Schmit, Stephanie L. [0000-0001-5931-1194], Schoen, Robert E. [0000-0001-7153-2766], and Pharoah, Paul DP [0000-0001-8494-732X]

Subjects
Oncology, Epidemiology, Colorectal cancer, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Accelerometry [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Molecular Epidemiology::Mendelian Randomization Analysis [Medical Subject Headings], Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], 0302 clinical medicine, Breast cancer, Epidemiology of cancer, Accelerometry, Odds Ratio, lcsh:Science, skin and connective tissue diseases, Cancer genetics, ComputingMilieux_MISCELLANEOUS, Cancer, 0303 health sciences, Biobank, 3. Good health, 030220 oncology & carcinogenesis, ICEP, Factores de riesgo, medicine.medical_specialty, Science, 631/67/2324, Diseases::Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms::Colorectal Neoplasms, Hereditary Nonpolyposis [Medical Subject Headings], Breast Neoplasms/genetics, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Càncer colorectal, Anthropology, Education, Sociology and Social Phenomena::Human Activities::Exercise [Medical Subject Headings], Humans, Epidemiologia, Exercise, VLAG, Cancer och onkologi, 45, 631/67/1347, Odds ratio, Mendelian Randomization Analysis, medicine.disease, Colorectal Neoplasms/genetics, 030104 developmental biology, Analyses, Risk factors, Check Tags::Female [Medical Subject Headings], Cancer and Oncology, lcsh:Q, Breast neoplasms, 0301 basic medicine, 631/67/1504/1885, Nutrition and Disease, General Physics and Astronomy, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings], Risk Factors, Neoplasias colorrectales, Voeding en Ziekte, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Odds Ratio [Medical Subject Headings], Multidisciplinary, article, Public Health, Global Health, Social Medicine and Epidemiology, Polymorphism, Single Nucleotide/genetics, Ejercicio físico, Neoplasias de la mama, Female, Colorectal Neoplasms, 631/67, 141, Breast Neoplasms, 45/23, Polymorphism, Single Nucleotide, Colorectal neoplasms, Càncer de mama, Diseases::Pathological Conditions, Signs and Symptoms::Pathologic Processes::Disease Attributes::Disease Susceptibility::Genetic Predisposition to Disease [Medical Subject Headings], Cancer epidemiology, 631/67/68, Internal medicine, Mendelian randomization, medicine, Journal Article, Life Science, Genetic Predisposition to Disease, Diseases::Neoplasms::Neoplasms by Site::Breast Neoplasms [Medical Subject Headings], 030304 developmental biology, Phenomena and Processes::Genetic Phenomena::Genetic Variation::Polymorphism, Genetic::Polymorphism, Single Nucleotide [Medical Subject Headings], business.industry, General Chemistry, Physical fitness, Confidence interval, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Condició física
Abstract

Physical activity has been associated with lower risks of breast and colorectal cancer in epidemiological studies; however, it is unknown if these associations are causal or confounded. In two-sample Mendelian randomisation analyses, using summary genetic data from the UK Biobank and GWA consortia, we found that a one standard deviation increment in average acceleration was associated with lower risks of breast cancer (odds ratio [OR]: 0.51, 95% confidence interval [CI]: 0.27 to 0.98, P-value = 0.04) and colorectal cancer (OR: 0.66, 95% CI: 0.48 to 0.90, P-value = 0.01). We found similar magnitude inverse associations for estrogen positive (ER+ve) breast cancer and for colon cancer. Our results support a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer. Based on these data, the promotion of physical activity is probably an effective strategy in the primary prevention of these commonly diagnosed cancers., United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Cancer Institute (NCI), International Agency for Research on Cancer, Cancer Research UK C18281/A19169, National Institute for Health Research (NIHR)

Published
2020

30. Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer.

Author

Laskar RS, Qu C, Huyghe JR, Harrison T, Hayes RB, Cao Y, Campbell PT, Steinfelder R, Talukdar FR, Brenner H, Ogino S, Brendt S, Bishop DT, Buchanan DD, Chan AT, Cotterchio M, Gruber SB, Gsur A, van Guelpen B, Jenkins MA, Keku TO, Lynch BM, Le Marchand L, Martin RM, McCarthy K, Moreno V, Pearlman R, Song M, Tsilidis KK, Vodička P, Woods MO, Wu K, Hsu L, Gunter MJ, Peters U, and Murphy N

Subjects
Adult, Female, Humans, Male, Age of Onset, Case-Control Studies, Polymorphism, Single Nucleotide, Risk Factors, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Genetic Predisposition to Disease, Genome-Wide Association Study, Mendelian Randomization Analysis
Abstract

Background: The incidence of early-onset colorectal cancer (EOCRC; diagnosed <50 years of age) is rising globally; however, the causes underlying this trend are largely unknown. CRC has strong genetic and environmental determinants, yet common genetic variants and causal modifiable risk factors underlying EOCRC are unknown. We conducted the first EOCRC-specific genome-wide association study (GWAS) and Mendelian randomization (MR) analyses to explore germline genetic and causal modifiable risk factors associated with EOCRC., Patients and Methods: We conducted a GWAS meta-analysis of 6176 EOCRC cases and 65 829 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT), the Colon Cancer Family Registry (CCFR), and the UK Biobank. We then used the EOCRC GWAS to investigate 28 modifiable risk factors using two-sample MR., Results: We found two novel risk loci for EOCRC at 1p34.1 and 4p15.33, which were not previously associated with CRC risk. We identified a deleterious coding variant (rs36053993, G396D) at polyposis-associated DNA repair gene MUTYH (odds ratio 1.80, 95% confidence interval 1.47-2.22) but show that most of the common genetic susceptibility was from noncoding signals enriched in epigenetic markers present in gastrointestinal tract cells. We identified new EOCRC-susceptibility genes, and in addition to pathways such as transforming growth factor (TGF) β, suppressor of Mothers Against Decapentaplegic (SMAD), bone morphogenetic protein (BMP) and phosphatidylinositol kinase (PI3K) signaling, our study highlights a role for insulin signaling and immune/infection-related pathways in EOCRC. In our MR analyses, we found novel evidence of probable causal associations for higher levels of body size and metabolic factors-such as body fat percentage, waist circumference, waist-to-hip ratio, basal metabolic rate, and fasting insulin-higher alcohol drinking, and lower education attainment with increased EOCRC risk., Conclusions: Our novel findings indicate inherited susceptibility to EOCRC and suggest modifiable lifestyle and metabolic targets that could also be used to risk-stratify individuals for personalized screening strategies or other interventions., (Copyright © 2024. Published by Elsevier Ltd.)

Published
2024
Full Text
View/download PDF

31. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer.

Author

Papadimitriou N, Kim A, Kawaguchi ES, Morrison J, Diez-Obrero V, Albanes D, Berndt SI, Bézieau S, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Campbell PT, Carreras-Torres R, Chan AT, Chang-Claude J, Conti DV, Devall MA, Dimou N, Drew DA, Gruber SB, Harrison TA, Hoffmeister M, Huyghe JR, Joshi AD, Keku TO, Kundaje A, Küry S, Le Marchand L, Lewinger JP, Li L, Lynch BM, Moreno V, Newton CC, Obón-Santacana M, Ose J, Pellatt AJ, Peoples AR, Platz EA, Qu C, Rennert G, Ruiz-Narvaez E, Shcherbina A, Stern MC, Su YR, Thomas DC, Thomas CE, Tian Y, Tsilidis KK, Ulrich CM, Um CY, Visvanathan K, Wang J, White E, Woods MO, Schmit SL, Macrae F, Potter JD, Hopper JL, Peters U, Murphy N, Hsu L, Gunter MJ, and Gauderman WJ

Subjects
Humans, Genotype, Diet, Male, Female, Risk Factors, Fruit, Colorectal Neoplasms genetics, Colorectal Neoplasms etiology, Dietary Fiber administration & dosage, Vegetables, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Gene-Environment Interaction
Abstract

Background: Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations., Methods: A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously., Findings: The 3-DF joint test revealed two significant loci with p-value <5 × 10 -8 . Rs4730274 close to the SLC26A3 gene showed an association with fibre (p-value: 2.4 × 10 -3 ) and G × fibre interaction with CRC (OR per quartile of fibre increase = 0.87, 0.80, and 0.75 for CC, TC, and TT genotype, respectively; G × E p-value: 1.8 × 10 -7 ). Rs1620977 in the NEGR1 gene showed an association with fruit intake (p-value: 1.0 × 10 -8 ) and G × fruit interaction with CRC (OR per quartile of fruit increase = 0.75, 0.65, and 0.56 for AA, AG, and GG genotype, respectively; G × E -p-value: 0.029)., Interpretation: We identified 2 loci associated with fibre and fruit intake that also modify the association of these dietary factors with CRC risk. Potential mechanisms include chronic inflammatory intestinal disorders, and gut function. However, further studies are needed for mechanistic validation and replication of findings., Funding: National Institutes of Health, National Cancer Institute. Full funding details for the individual consortia are provided in acknowledgments., Competing Interests: Declaration of interests ESK is a co-investigator in a grant from National Institutes of Health (R01CA196569). JW is Stock shareholder of Gilead Sciences Inc. AK has received consulting fees for Illumina Inc., has participated on data safety monitoring boards or advisory boards of TensorBio, PatchBio, Serimmune, and OpenTargets, and has stock or stock options of Illumina, Freenome, Deep Genomics, Immunai, TensorBio, PatchBio, and Serimmune. MCS was a co-investigator in a grant from National Institutes of Health (R01CA201407). VM has received grant support from Instituto de Salud Carlos III and Fundacion Cientifica Asociación Española Contra el Cáncer. SBG is a co-founder of Brogent international LLC. JPL has received additional grant support (5P01CA196569, 6R01CA201407). The remaining authors declare that they have no conflicts of interest., (Copyright © 2024. Published by Elsevier B.V.)

Published
2024
Full Text
View/download PDF

32. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk.

Author

Tian Y, Lin Y, Qu C, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Chan AT, Chen R, Chen X, Conti DV, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gunter MJ, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Joshi AD, Keku TO, Kawaguchi E, Kim AE, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Moreno V, Morrison J, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez EA, Sakoda LC, Schoen RE, Shcherbina A, Stern MC, Su YR, Thibodeau SN, Thomas DC, Tsilidis KK, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Peters U, Gauderman WJ, Hsu L, and Chang-Claude J

Subjects
Humans, Female, Middle Aged, Case-Control Studies, Risk Factors, Aged, Hormone Replacement Therapy adverse effects, Risk Assessment, Menopause, Postmenopause, Estrogen Replacement Therapy adverse effects, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Genetic Predisposition to Disease
Abstract

Background: Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk., Methods: We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated., Results: The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10 -8 ). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10 -14 ); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10 -3 ), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk., Conclusions: MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use., (© 2024. The Author(s).)

Published
2024
Full Text
View/download PDF

33. Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer.

Author

Drew DA, Kim AE, Lin Y, Qu C, Morrison J, Lewinger JP, Kawaguchi E, Wang J, Fu Y, Zemlianskaia N, Díez-Obrero V, Bien SA, Dimou N, Albanes D, Baurley JW, Wu AH, Buchanan DD, Potter JD, Prentice RL, Harlid S, Arndt V, Barry EL, Berndt SI, Bouras E, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Chang-Claude J, Conti DV, Devall MAM, Figueiredo JC, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kundaje A, Le Marchand L, Li L, Lynch BM, Murphy N, Nassir R, Newcomb PA, Newton CC, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Stern MC, Su YR, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, Um CY, van Duijnhoven FJB, Van Guelpen B, White E, Hsu L, Moreno V, Peters U, Chan AT, and Gauderman WJ

Subjects
Humans, Aspirin pharmacology, Receptors, Prostaglandin E, EP4 Subtype genetics, Receptors, Prostaglandin E, EP4 Subtype metabolism, Male, Genetic Predisposition to Disease, Female, Case-Control Studies, Middle Aged, Genetic Loci, Aged, Colorectal Neoplasms genetics, Colorectal Neoplasms drug therapy, Anti-Inflammatory Agents, Non-Steroidal pharmacology, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract

Regular, long-term aspirin use may act synergistically with genetic variants, particularly those in mechanistically relevant pathways, to confer a protective effect on colorectal cancer (CRC) risk. We leveraged pooled data from 52 clinical trial, cohort, and case-control studies that included 30,806 CRC cases and 41,861 controls of European ancestry to conduct a genome-wide interaction scan between regular aspirin/nonsteroidal anti-inflammatory drug (NSAID) use and imputed genetic variants. After adjusting for multiple comparisons, we identified statistically significant interactions between regular aspirin/NSAID use and variants in 6q24.1 (top hit rs72833769 ), which has evidence of influencing expression of TBC1D7 (a subunit of the TSC1-TSC2 complex, a key regulator of MTOR activity), and variants in 5p13.1 (top hit rs350047 ), which is associated with expression of PTGER4 (codes a cell surface receptor directly involved in the mode of action of aspirin). Genetic variants with functional impact may modulate the chemopreventive effect of regular aspirin use, and our study identifies putative previously unidentified targets for additional mechanistic interrogation.

Published
2024
Full Text
View/download PDF

34. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes.

Author

Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, Ping J, Jia G, Long J, Li C, Shen Q, Xie Y, Timofeeva MN, Thomas M, Schmit SL, Díez-Obrero V, Devall M, Moratalla-Navarro F, Fernandez-Tajes J, Palles C, Sherwood K, Briggs SEW, Svinti V, Donnelly K, Farrington SM, Blackmur J, Vaughan-Shaw PG, Shu XO, Lu Y, Broderick P, Studd J, Harrison TA, Conti DV, Schumacher FR, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper JL, Jenkins MA, Win AK, Pai RK, Figueiredo JC, Haile RW, Gallinger S, Woods MO, Newcomb PA, Duggan D, Cheadle JP, Kaplan R, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin JP, Jousilahti P, Knekt P, Aaltonen LA, Rissanen H, Pukkala E, Eriksson JG, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Männistö S, Albanes D, Weinstein SJ, Ruiz-Narvaez E, Palmer JR, Buchanan DD, Platz EA, Visvanathan K, Ulrich CM, Siegel E, Brezina S, Gsur A, Campbell PT, Chang-Claude J, Hoffmeister M, Brenner H, Slattery ML, Potter JD, Tsilidis KK, Schulze MB, Gunter MJ, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Bishop DT, Giles GG, Southey MC, Idos GE, McDonnell KJ, Abu-Ful Z, Greenson JK, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku TO, van Guelpen B, Hudson TJ, Hampel H, Pearlman R, Berndt SI, Hayes RB, Martinez ME, Thomas SS, Pharoah PDP, Larsson SC, Yen Y, Lenz HJ, White E, Li L, Doheny KF, Pugh E, Shelford T, Chan AT, Cruz-Correa M, Lindblom A, Hunter DJ, Joshi AD, Schafmayer C, Scacheri PC, Kundaje A, Schoen RE, Hampe J, Stadler ZK, Vodicka P, Vodickova L, Vymetalkova V, Edlund CK, Gauderman WJ, Shibata D, Toland A, Markowitz S, Kim A, Chanock SJ, van Duijnhoven F, Feskens EJM, Sakoda LC, Gago-Dominguez M, Wolk A, Pardini B, FitzGerald LM, Lee SC, Ogino S, Bien SA, Kooperberg C, Li CI, Lin Y, Prentice R, Qu C, Bézieau S, Yamaji T, Sawada N, Iwasaki M, Le Marchand L, Wu AH, Qu C, McNeil CE, Coetzee G, Hayward C, Deary IJ, Harris SE, Theodoratou E, Reid S, Walker M, Ooi LY, Lau KS, Zhao H, Hsu L, Cai Q, Dunlop MG, Gruber SB, Houlston RS, Moreno V, Casey G, Peters U, Tomlinson I, and Zheng W

Subjects
Humans, Exome Sequencing, Case-Control Studies, Transcriptome, Chromosome Mapping, Male, Female, East Asian People, Colorectal Neoplasms genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Asian People genetics, White People genetics, Polymorphism, Single Nucleotide, Quantitative Trait Loci
Abstract

Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development., (© 2024. The Author(s).)

Published
2024
Full Text
View/download PDF

35. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analyses.

Author

Papadimitriou N, Qu C, Harrison TA, Bever AM, Martin RM, Tsilidis KK, Newcomb PA, Thibodeau SN, Newton CC, Um CY, Obón-Santacana M, Moreno V, Brenner H, Mandic M, Chang-Claude J, Hoffmeister M, Pellatt AJ, Schoen RE, Harlid S, Ogino S, Ugai T, Buchanan DD, Lynch BM, Gruber SB, Cao Y, Hsu L, Huyghe JR, Lin Y, Steinfelder RS, Sun W, Van Guelpen B, Zaidi SH, Toland AE, Berndt SI, Huang WY, Aglago EK, Drew DA, French AJ, Georgeson P, Giannakis M, Hullar M, Nowak JA, Thomas CE, Le Marchand L, Cheng I, Gallinger S, Jenkins MA, Gunter MJ, Campbell PT, Peters U, Song M, Phipps AI, and Murphy N

Subjects
Humans, Female, Mendelian Randomization Analysis, DNA Methylation, Proto-Oncogene Proteins p21(ras) genetics, Proto-Oncogene Proteins p21(ras) metabolism, Microsatellite Instability, Mutation, Phenotype, Body Size, CpG Islands, Proto-Oncogene Proteins B-raf genetics, Proto-Oncogene Proteins B-raf metabolism, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms metabolism
Abstract

Background: Obesity has been positively associated with most molecular subtypes of colorectal cancer (CRC); however, the magnitude and the causality of these associations is uncertain., Methods: We used Mendelian randomization (MR) to examine potential causal relationships between body size traits (body mass index [BMI], waist circumference, and body fat percentage) with risks of Jass classification types and individual subtypes of CRC (microsatellite instability [MSI] status, CpG island methylator phenotype [CIMP] status, BRAF and KRAS mutations). Summary data on tumour markers were obtained from two genetic consortia (CCFR, GECCO)., Findings: A 1-standard deviation (SD:5.1 kg/m 2 ) increment in BMI levels was found to increase risks of Jass type 1 MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype (odds ratio [OR]: 2.14, 95% confidence interval [CI]: 1.46, 3.13; p-value = 9 × 10 -5 ) and Jass type 2 non-MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype CRC (OR: 2.20, 95% CI: 1.26, 3.86; p-value = 0.005). The magnitude of these associations was stronger compared with Jass type 4 non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-wildtype CRC (p-differences: 0.03 and 0.04, respectively). A 1-SD (SD:13.4 cm) increment in waist circumference increased risk of Jass type 3 non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-mutated (OR 1.73, 95% CI: 1.34, 2.25; p-value = 9 × 10 -5 ) that was stronger compared with Jass type 4 CRC (p-difference: 0.03). A higher body fat percentage (SD:8.5%) increased risk of Jass type 1 CRC (OR: 2.59, 95% CI: 1.49, 4.48; p-value = 0.001), which was greater than Jass type 4 CRC (p-difference: 0.03)., Interpretation: Body size was more strongly linked to the serrated (Jass types 1 and 2) and alternate (Jass type 3) pathways of colorectal carcinogenesis in comparison to the traditional pathway (Jass type 4)., Funding: Cancer Research UK, National Institute for Health Research, Medical Research Council, National Institutes of Health, National Cancer Institute, American Institute for Cancer Research, Brigham and Women's Hospital, Prevent Cancer Foundation, Victorian Cancer Agency, Swedish Research Council, Swedish Cancer Society, Region Västerbotten, Knut and Alice Wallenberg Foundation, Lion's Cancer Research Foundation, Insamlingsstiftelsen, Umeå University. Full funding details are provided in acknowledgements., Competing Interests: Declaration of interests AB has received a Scholar-in-Training Award from AACR for 2023. VM has received grants from Instituto de Salud Carlos III and FC AECC. BML has received support from Uppsala University as a part of a presentation in the Svedberg Seminar Series, and she was the president of the Australasian Epidemiological Association (2020–2023). BVG has received support grant from World Cancer Research Fund for a separate project within the same research field. AET has received an editorial board fee from NIH PDQ Cancer Genetics. MG has received research funding from Janssen and Servier, consulting fees from Nerviano Medical Sciences, Chromacode, and AstraZeneca and support to attend a meeting from Dava Oncology. JN has received research funding from Natera Inc and consulting fees from Leica Biosciences. MAJ has received an NIH funding. The remaining authors declare no competing interests., (Copyright © 2024. Published by Elsevier B.V.)

Published
2024
Full Text
View/download PDF

36. Identifying metabolic features of colorectal cancer liability using Mendelian randomization.

Author

Bull C, Hazelwood E, Bell JA, Tan V, Constantinescu AE, Borges C, Legge D, Burrows K, Huyghe JR, Brenner H, Castellvi-Bel S, Chan AT, Kweon SS, Le Marchand L, Li L, Cheng I, Pai RK, Figueiredo JC, Murphy N, Gunter MJ, Timpson NJ, and Vincent EE

Subjects
Child, Humans, Middle Aged, Fatty Acids, Longitudinal Studies, Adolescent, Adult, Colorectal Neoplasms genetics, Colorectal Neoplasms metabolism, Genetic Risk Score, Mendelian Randomization Analysis
Abstract

Background: Recognizing the early signs of cancer risk is vital for informing prevention, early detection, and survival., Methods: To investigate whether changes in circulating metabolites characterize the early stages of colorectal cancer (CRC) development, we examined the associations between a genetic risk score (GRS) associated with CRC liability (72 single-nucleotide polymorphisms) and 231 circulating metabolites measured by nuclear magnetic resonance spectroscopy in the Avon Longitudinal Study of Parents and Children (N = 6221). Linear regression models were applied to examine the associations between genetic liability to CRC and circulating metabolites measured in the same individuals at age 8 y, 16 y, 18 y, and 25 y., Results: The GRS for CRC was associated with up to 28% of the circulating metabolites at FDR-P < 0.05 across all time points, particularly with higher fatty acids and very-low- and low-density lipoprotein subclass lipids. Two-sample reverse Mendelian randomization (MR) analyses investigating CRC liability (52,775 cases, 45,940 controls) and metabolites measured in a random subset of UK Biobank participants (N = 118,466, median age 58 y) revealed broadly consistent effect estimates with the GRS analysis. In conventional (forward) MR analyses, genetically predicted polyunsaturated fatty acid concentrations were most strongly associated with higher CRC risk., Conclusions: These analyses suggest that higher genetic liability to CRC can cause early alterations in systemic metabolism and suggest that fatty acids may play an important role in CRC development., Funding: This work was supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, the Wellcome Trust, the Medical Research Council, Diabetes UK, the University of Bristol NIHR Biomedical Research Centre, and Cancer Research UK. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work used the computational facilities of the Advanced Computing Research Centre, University of Bristol - http://www.bristol.ac.uk/acrc/., Competing Interests: CB, EH, JB, VT, AC, CB, DL, KB, JH, HB, SC, AC, SK, LL, LL, IC, RP, JF, NM, MG, NT, EV No competing interests declared, (© 2023, Bull, Hazelwood et al.)

Published
2023
Full Text
View/download PDF

37. Genome-wide interaction analysis of folate for colorectal cancer risk.

Author

Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop TD, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Conti DV, Cotterchio M, Devall M, Diez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Giles GG, Gruber SB, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Lynch BM, Mahesworo B, Männistö S, Moreno V, Murphy N, Newcomb PA, Obón-Santacana M, Ose J, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Qi L, Qu C, Rennert G, Ruiz-Narvaez E, Sakoda LC, Schmit SL, Shcherbina A, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Um CY, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Wang J, White E, Wolk A, Woods MO, Ulrich CM, Hsu L, Gauderman WJ, Peters U, and Tsilidis KK

Subjects
Humans, Risk Factors, Case-Control Studies, Dietary Supplements, Folic Acid metabolism, Colorectal Neoplasms genetics
Abstract

Background: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC., Objectives: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk., Methods: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO)., Results: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10 -8 ) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10 -8 ). No interactions were observed for dietary and total folate., Conclusions: Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Published
2023
Full Text
View/download PDF

38. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.

Author

Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, and Hsu L

Subjects
Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Risk Factors, Multifactorial Inheritance, Ethnicity genetics, Colorectal Neoplasms diagnosis, Colorectal Neoplasms genetics
Abstract

Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice., (© 2023. Springer Nature Limited.)

Published
2023
Full Text
View/download PDF

39. Probing the diabetes and colorectal cancer relationship using gene - environment interaction analyses.

Author

Dimou N, Kim AE, Flanagan O, Murphy N, Diez-Obrero V, Shcherbina A, Aglago EK, Bouras E, Campbell PT, Casey G, Gallinger S, Gruber SB, Jenkins MA, Lin Y, Moreno V, Ruiz-Narvaez E, Stern MC, Tian Y, Tsilidis KK, Arndt V, Barry EL, Baurley JW, Berndt SI, Bézieau S, Bien SA, Bishop DT, Brenner H, Budiarto A, Carreras-Torres R, Cenggoro TW, Chan AT, Chang-Claude J, Chanock SJ, Chen X, Conti DV, Dampier CH, Devall M, Drew DA, Figueiredo JC, Giles GG, Gsur A, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jordahl K, Kawaguchi E, Keku TO, Larsson SC, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison J, Newcomb PA, Newton CC, Obon-Santacana M, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Potter JD, Rennert G, Scacheri PC, Schoen RE, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Ulrich CM, Um CY, van Duijnhoven FJB, Visvanathan K, Vodicka P, Vodickova L, White E, Wolk A, Woods MO, Qu C, Kundaje A, Hsu L, Gauderman WJ, Gunter MJ, and Peters U

Subjects
Humans, Gene-Environment Interaction, Genetic Predisposition to Disease, Risk Factors, Polymorphism, Single Nucleotide, Genome-Wide Association Study methods, Microfilament Proteins genetics, Diabetes Mellitus genetics, Colorectal Neoplasms genetics
Abstract

Background: Diabetes is an established risk factor for colorectal cancer. However, the mechanisms underlying this relationship still require investigation and it is not known if the association is modified by genetic variants. To address these questions, we undertook a genome-wide gene-environment interaction analysis., Methods: We used data from 3 genetic consortia (CCFR, CORECT, GECCO; 31,318 colorectal cancer cases/41,499 controls) and undertook genome-wide gene-environment interaction analyses with colorectal cancer risk, including interaction tests of genetics(G)xdiabetes (1-degree of freedom; d.f.) and joint testing of Gxdiabetes, G-colorectal cancer association (2-d.f. joint test) and G-diabetes correlation (3-d.f. joint test)., Results: Based on the joint tests, we found that the association of diabetes with colorectal cancer risk is modified by loci on chromosomes 8q24.11 (rs3802177, SLC30A8 - OR AA : 1.62, 95% CI: 1.34-1.96; OR AG : 1.41, 95% CI: 1.30-1.54; OR GG : 1.22, 95% CI: 1.13-1.31; p-value 3-d.f. : 5.46 × 10 -11 ) and 13q14.13 (rs9526201, LRCH1 - OR GG : 2.11, 95% CI: 1.56-2.83; OR GA : 1.52, 95% CI: 1.38-1.68; OR AA : 1.13, 95% CI: 1.06-1.21; p-value 2-d.f. : 7.84 × 10 -09 )., Discussion: These results suggest that variation in genes related to insulin signaling (SLC30A8) and immune function (LRCH1) may modify the association of diabetes with colorectal cancer risk and provide novel insights into the biology underlying the diabetes and colorectal cancer relationship., (© 2023. The Author(s).)

Published
2023
Full Text
View/download PDF

40. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk.

Author

Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, Morrison J, Albanes D, Arndt V, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Chen X, Conti DV, Devall M, Diez-Obrero V, Dimou N, Drew D, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Hidaka A, Harrison TA, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl K, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Lynch BM, Mahesworo B, Mandic M, Obón-Santacana M, Moreno V, Murphy N, Nan H, Nassir R, Newcomb PA, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Ulrich CM, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Vodicka P, Wang J, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Hsu L, Gauderman WJ, Peters U, Tsilidis KK, and Campbell PT

Subjects
Humans, Body Mass Index, Risk Factors, Genetic Loci, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Genome-Wide Association Study, Intercellular Signaling Peptides and Proteins genetics, Obesity complications, Obesity genetics, Colorectal Neoplasms genetics
Abstract

Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer., Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies., (©2023 The Authors; Published by the American Association for Cancer Research.)

Published
2023
Full Text
View/download PDF

41. 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 R, Kim AE, Lin Y, Díez-Obrero V, Bien SA, Qu C, Wang J, Dimou N, Aglago EK, Albanes D, Arndt V, Baurley JW, Berndt SI, Bézieau S, Bishop DT, Bouras E, Brenner H, Budiarto A, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chen X, Conti DV, Dampier CH, Devall MAM, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kawaguchi E, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Cenggoro TW, Weinstein SJ, White E, Wolk A, Woods MO, Hsu L, Peters U, Moreno V, and Gauderman WJ

Subjects
Humans, Smoking genetics, Risk Factors, Genotype, Inflammation, Tobacco Smoking, Genetic Loci, Polymorphism, Single Nucleotide, Case-Control Studies, Genetic Predisposition to Disease, Colorectal Neoplasms epidemiology
Abstract

Background: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer., Methods: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia., Results: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33)., Conclusions: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response., Impact: These findings can guide potential prevention treatments., (©2022 American Association for Cancer Research.)

Published
2023
Full Text
View/download PDF

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

Author

Su YR, Sakoda LC, Jeon J, Thomas M, Lin Y, Schneider JL, Udaltsova N, Lee JK, Lansdorp-Vogelaar I, Peterse EFP, Zauber AG, Zheng J, Zheng Y, Hauser E, Baron JA, Barry EL, Bishop DT, Brenner H, Buchanan DD, Burnett-Hartman A, Campbell PT, Casey G, Castellví-Bel S, Chan AT, Chang-Claude J, Figueiredo JC, Gallinger SJ, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampe J, Hampel H, Harrison TA, Hoffmeister M, Hua X, Huyghe JR, Jenkins MA, Keku TO, Marchand LL, Li L, Lindblom A, Moreno V, Newcomb PA, Pharoah PDP, Platz EA, Potter JD, Qu C, Rennert G, Schoen RE, Slattery ML, Song M, van Duijnhoven FJB, Van Guelpen B, Vodicka P, Wolk A, Woods MO, Wu AH, Hayes RB, Peters U, Corley DA, and Hsu L

Subjects
Humans, Middle Aged, Aged, Risk Factors, Risk Assessment, Colorectal Neoplasms epidemiology
Abstract

Background: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance., Methods: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group)., Results: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity., Conclusions: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort., Impact: The proposed model has potential utility in risk-stratified colorectal cancer prevention., (©2023 American Association for Cancer Research.)

Published
2023
Full Text
View/download PDF

43. T cell-inflamed gene expression profile is associated with favorable disease-specific survival in non-hypermutated microsatellite-stable colorectal cancer patients.

Author

Yin H, Harrison TA, Thomas SS, Sather CL, Koehne AL, Malen RC, Reedy AM, Wurscher MA, Hsu L, Phipps AI, Zaidi SHE, Newcomb PA, Peters U, and Huyghe JR

Subjects
Humans, Transcriptome, Microsatellite Instability, Prognosis, Microsatellite Repeats, Mutation, Colorectal Neoplasms pathology
Abstract

Background: The anti-tumor immune response plays a key role in colorectal cancer (CRC) progression and survival. The T cell-inflamed gene expression profile (GEP) is a biomarker predicting response to checkpoint inhibitor immunotherapy across immunogenic cancer types, but the prognostic value in CRC is unknown. We evaluated associations with disease-specific survival, somatic mutations, and examined its differentially expressed genes and pathways among 84 sporadic CRC patients from the Seattle Colon Cancer Family Registry., Methods: Gene expression profiling was performed using Nanostring's nCounter PanCancer IO 360 panel. Somatic mutations were identified by a targeted DNA sequencing panel., Results: The T cell-inflamed GEP was positively associated with tumor mutation burden and microsatellite instability high (MSI-H). Higher T cell-inflamed GEP had favorable CRC-specific survival (hazard ratio [HR] per standard deviation unit = 0.50, p = 0.004) regardless of hypermutation or MSI status. Analysis of recurrently mutated genes having at least 10 mutation carriers, suggested that the T cell-inflamed GEP is positively associated with RYR1, and negatively associated with APC. However, these associations were attenuated after adjusting for hypermutation or MSI status. We also found that expression of genes RPL23, EPCAM, AREG and ITGA6, and the Wnt signaling pathway was negatively associated with the T cell-inflamed GEP, which might indicate immune-inhibitory mechanisms., Conclusions: Our results show that the T cell-inflamed GEP is a prognostic biomarker in non-hypermutated microsatellite-stable CRC. This also suggests that patient stratification for immunotherapy within this CRC subgroup should be explored further. Moreover, reported immune-inhibitory gene expression signals may suggest targets for therapeutic combination with immunotherapy., (© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Published
2023
Full Text
View/download PDF

44. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.

Author

Tian Y, Kim AE, Bien SA, Lin Y, Qu C, Harrison TA, Carreras-Torres R, Díez-Obrero V, Dimou N, Drew DA, Hidaka A, Huyghe JR, Jordahl KM, Morrison J, Murphy N, Obón-Santacana M, Ulrich CM, Ose J, Peoples AR, Ruiz-Narvaez EA, Shcherbina A, Stern MC, Su YR, van Duijnhoven FJB, Arndt V, Baurley JW, Berndt SI, Bishop DT, Brenner H, Buchanan DD, Chan AT, Figueiredo JC, Gallinger S, Gruber SB, Harlid S, Hoffmeister M, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Li L, Giles GG, Milne RL, Nan H, Nassir R, Ogino S, Budiarto A, Platz EA, Potter JD, Prentice RL, Rennert G, Sakoda LC, Schoen RE, Slattery ML, Thibodeau SN, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Campbell PT, Casey G, Conti DV, Gunter MJ, Kundaje A, Lewinger JP, Moreno V, Newcomb PA, Pardamean B, Thomas DC, Tsilidis KK, Peters U, Gauderman WJ, Hsu L, and Chang-Claude J

Subjects
Case-Control Studies, Estrogens, Female, Humans, Menopause, Polymorphism, Single Nucleotide, Risk Factors, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Progestins
Abstract

Background: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk., Methods: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants., Results: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4)., Conclusion: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2022
Full Text
View/download PDF

45. Association between germline variants and somatic mutations in colorectal cancer.

Author

Barfield R, Qu C, Steinfelder RS, Zeng C, Harrison TA, Brezina S, Buchanan DD, Campbell PT, Casey G, Gallinger S, Giannakis M, Gruber SB, Gsur A, Hsu L, Huyghe JR, Moreno V, Newcomb PA, Ogino S, Phipps AI, Slattery ML, Thibodeau SN, Trinh QM, Toland AE, Hudson TJ, Sun W, Zaidi SH, and Peters U

Subjects
Allelic Imbalance, Genetic Predisposition to Disease, Germ Cells pathology, Humans, Polymorphism, Single Nucleotide, Colorectal Neoplasms genetics, Colorectal Neoplasms pathology, Germ-Line Mutation
Abstract

Colorectal cancer (CRC) is a heterogeneous disease with evidence of distinct tumor types that develop through different somatically altered pathways. To better understand the impact of the host genome on somatically mutated genes and pathways, we assessed associations of germline variations with somatic events via two complementary approaches. We first analyzed the association between individual germline genetic variants and the presence of non-silent somatic mutations in genes in 1375 CRC cases with genome-wide SNPs data and a tumor sequencing panel targeting 205 genes. In the second analysis, we tested if germline variants located within previously identified regions of somatic allelic imbalance were associated with overall CRC risk using summary statistics from a recent large scale GWAS (n≃125 k CRC cases and controls). The first analysis revealed that a variant (rs78963230) located within a CNA region associated with TLR3 was also associated with a non-silent mutation within gene FBXW7. In the secondary analysis, the variant rs2302274 located in CDX1/PDGFRB frequently gained/lost in colorectal tumors was associated with overall CRC risk (OR = 0.96, p = 7.50e-7). In summary, we demonstrate that an integrative analysis of somatic and germline variation can lead to new insights about CRC., (© 2022. The Author(s).)

Published
2022
Full Text
View/download PDF

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

Author

Shu X, Chen Z, Long J, Guo X, Yang Y, Qu C, Ahn YO, Cai Q, Casey G, Gruber SB, Huyghe JR, Jee SH, Jenkins MA, Jia WH, Jung KJ, Kamatani Y, Kim DH, Kim J, Kweon SS, Le Marchand L, Matsuda K, Matsuo K, Newcomb PA, Oh JH, Ose J, Oze I, Pai RK, Pan ZZ, Pharoah PDP, Playdon MC, Ren ZF, Schoen RE, Shin A, Shin MH, Shu XO, Sun X, Tangen CM, Tanikawa C, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Wolk A, Woods MO, Wu AH, Peters U, and Zheng W

Subjects
Asian People, Case-Control Studies, Glycerophospholipids, Humans, Lipids, Metabolomics methods, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms metabolism
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., (©2022 American Association for Cancer Research.)

Published
2022
Full Text
View/download PDF

47. Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer.

Author

Barfield R, Huyghe JR, Lemire M, Dong X, Su YR, Brezina S, Buchanan DD, Figueiredo JC, Gallinger S, Giannakis M, Gsur A, Gunter MJ, Hampel H, Harrison TA, Hopper JL, Hudson TJ, Li CI, Moreno V, Newcomb PA, Pai RK, Pharoah PDP, Phipps AI, Qu C, Steinfelder RS, Sun W, Win AK, Zaidi SH, Campbell PT, Peters U, and Hsu L

Subjects
Epigenomics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Proteins, Quantitative Trait Loci, Colorectal Neoplasms genetics, DNA Methylation
Abstract

Background: Colorectal cancer has a strong epigenetic component that is accompanied by frequent DNA methylation (DNAm) alterations in addition to heritable genetic risk. It is of interest to understand the interrelationship of germline genetics, DNAm, and colorectal cancer risk., Methods: We performed a genome-wide methylation quantitative trait locus (meQTL) analysis in 1,355 people, assessing the pairwise associations between genetic variants and lymphocytes methylation data. In addition, we used penalized regression with cis-genetic variants ± 1 Mb of methylation to identify genome-wide heritable DNAm. We evaluated the association of genetically predicted methylation with colorectal cancer risk based on genome-wide association studies (GWAS) of over 125,000 cases and controls using the multivariate sMiST as well as univariately via examination of marginal association with colorectal cancer risk., Results: Of the 142 known colorectal cancer GWAS loci, 47 were identified as meQTLs. We identified four novel colorectal cancer-associated loci (NID2, ATXN10, KLHDC10, and CEP41) that reside over 1 Mb outside of known colorectal cancer loci and 10 secondary signals within 1 Mb of known loci., Conclusions: Leveraging information of DNAm regulation into genetic association of colorectal cancer risk reveals novel pathways in colorectal cancer tumorigenesis. Our summary statistics-based framework sMiST provides a powerful approach by combining information from the effect through methylation and residual direct effects of the meQTLs on disease risk. Further validation and functional follow-up of these novel pathways are needed., Impact: Using genotype, DNAm, and GWAS, we identified four new colorectal cancer risk loci. We studied the landscape of genetic regulation of DNAm via single-SNP and multi-SNP meQTL analyses., (©2022 American Association for Cancer Research.)

Published
2022
Full Text
View/download PDF

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

Author

Jordahl KM, Shcherbina A, Kim AE, Su YR, Lin Y, Wang J, Qu C, Albanes D, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Conti DV, Dampier CH, Devall MA, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Joshi AD, Keku TO, Larsson SC, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Moreno V, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Slattery ML, Stern MC, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Chang-Claude J, Gauderman WJ, Hsu L, Kundaje A, and Peters U

Subjects
Alcohol Drinking adverse effects, Alcohol Drinking epidemiology, Alcohol Drinking genetics, Electron Transport Complex IV genetics, Humans, Polymorphism, Single Nucleotide, Risk Factors, Colorectal Neoplasms etiology, Colorectal Neoplasms genetics, Genome-Wide Association Study
Abstract

Background: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer., Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models., Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif., Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region., Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920., (©2022 American Association for Cancer Research.)

Published
2022
Full Text
View/download PDF

49. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

Author

Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gockel I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, and Lindström S

Abstract

Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.

Published
2021
Full Text
View/download PDF

50. Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer.

Author

Jenkins MA, Buchanan DD, Lai J, Makalic E, Dite GS, Win AK, Clendenning M, Winship IM, Hayes RB, Huyghe JR, Peters U, Gallinger S, Marchand LL, Figueiredo JC, Pai RK, Newcomb PA, Church JM, Casey G, and Hopper JL

Subjects
Colorectal Neoplasms ethnology, Colorectal Neoplasms genetics, Colorectal Neoplasms, Hereditary Nonpolyposis ethnology, DNA-Binding Proteins genetics, Epithelial Cell Adhesion Molecule genetics, Europe ethnology, Female, Humans, Male, Middle Aged, Mismatch Repair Endonuclease PMS2 genetics, MutL Protein Homolog 1 genetics, MutS Homolog 2 Protein genetics, Risk Assessment, Risk Factors, Colorectal Neoplasms, Hereditary Nonpolyposis genetics, DNA Mismatch Repair genetics, Polymorphism, Single Nucleotide
Abstract

It was not known whether the polygenic risk scores (PRSs) that predict colorectal cancer could predict colorectal cancer for people with inherited pathogenic variants in DNA mismatch repair genes-people with Lynch syndrome. We tested a PRS comprising 107 established single-nucleotide polymorphisms associated with colorectal cancer in European populations for 826 European-descent carriers of pathogenic variants in DNA mismatch repair genes (293 MLH1 , 314 MSH2 , 126 MSH6 , 71 PMS2 , and 22 EPCAM ) from the Colon Cancer Family Registry, of whom 504 had colorectal cancer. There was no evidence of an association between the PRS and colorectal cancer risk, irrespective of which DNA mismatch repair gene was mutated, or sex (all 2-sided P  >   .05). The hazard ratio per standard deviation of the PRS for colorectal cancer was 0.97 (95% confidence interval = 0.88 to 1.06; 2-sided P  =   .51). Whereas PRSs are predictive of colorectal cancer in the general population, they do not predict Lynch syndrome colorectal cancer., (© The Author(s) 2021. Published by Oxford University Press.)

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results