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Response to Li and Hopper [Comment]

Thomas, Minta; Sakoda, Lori C; Hoffmeister, Michael; Rosenthal, Elisabeth A; Lee, Jeffrey K; van Duijnhoven, Franzel J B; Platz, Elizabeth A; Wu, Anna H; Dampier, Christopher H; de la Chapelle, Albert; Wolk, Alicja; Joshi, Amit D; Burnett-Hartman, Andrea; Gsur, Andrea; Lindblom, Annika; Castells, Antoni; Win, Aung Ko; Namjou, Bahram; Van Guelpen, Bethany; Tangen, Catherine M; He, Qianchuan; Li, Christopher I; Schafmayer, Clemens; Joshu, Corinne E; Ulrich, Cornelia M; Bishop, D Timothy; Buchanan, Daniel D; Schaid, Daniel; Drew, David A; Muller, David C; Duggan, David; Crosslin, David R; Albanes, Demetrius; Giovannucci, Edward L; Larson, Eric; Qu, Flora; Mentch, Frank; Giles, Graham G; Hakonarson, Hakon; Hampel, Heather; Stanaway, Ian B; Figueiredo, Jane C; Huyghe, Jeroen R; Minnier, Jessica; Chang-Claude, Jenny; Hampe, Jochen; Harley, John B; Visvanathan, Kala; Curtis, Keith R; Offit, Kenneth; Li, Li; Le Marchand, Loic; Vodickova, Ludmila; Gunter, Marc J; Jenkins, Mark A; Slattery, Martha L; Lemire, Mathieu; Woods, Michael O; Song, Mingyang; Murphy, Neil; Lindor, Noralane M; Dikilitas, Ozan; Pharoah, Paul D P; Campbell, Peter T; Newcomb, Polly A; Milne, Roger L; MacInnis, Robert J; Castellví-Bel, Sergi; Ogino, Shuji; Berndt, Sonja I; Bézieau, Stéphane; Thibodeau, Stephen N; Gallinger, Steven J; Zaidi, Syed H; Harrison, Tabitha A; Keku, Temitope O; Hudson, Thomas J; Vymetalkova, Veronika; Moreno, Victor; Martín, Vicente; Arndt, Volker; Wei, Wei-Qi; Chung, Wendy; Su, Yu-Ru; Hayes, Richard B; White, Emily; Vodicka, Pavel; Casey, Graham; Gruber, Stephen B; Schoen, Robert E; Chan, Andrew T; Potter, John D; Brenner, Hermann; Jarvik, Gail P; Corley, Douglas A; Peters, Ulrike; Hsu, Li
PMID: 33667396
ISSN: 1537-6605
CID: 4835862

Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Guo, Xingyi; Lin, Weiqiang; Wen, Wanqing; Huyghe, Jeroen; Bien, Stephanie; Cai, Qiuyin; Harrison, Tabitha; Chen, Zhishan; Qu, Conghui; Bao, Jiandong; Long, Jirong; Yuan, Yuan; Wang, Fangqin; Bai, Mengqiu; Abecasis, Goncalo R; Albanes, Demetrius; Berndt, Sonja I; Bézieau, Stéphane; Bishop, D Timothy; Brenner, Hermann; Buch, Stephan; Burnett-Hartman, Andrea; Campbell, Peter T; Castellví-Bel, Sergi; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Cho, Sang Hee; Conti, David V; Chapelle, Albert de la; Feskens, Edith J M; Gallinger, Steven J; Giles, Graham G; Goodman, Phyllis J; Gsur, Andrea; Guinter, Mark; Gunter, Marc J; Hampe, Jochen; Hampel, Heather; Hayes, Richard B; Hoffmeister, Michael; Kampman, Ellen; Kang, Hyun Min; Keku, Temitope O; Kim, Hyeong Rok; Le Marchand, Loic; Lee, Soo Chin; Li, Christopher I; Li, Li; Lindblom, Annika; Lindor, Noralane; Milne, Roger L; Moreno, Victor; Murphy, Neil; Newcomb, Polly A; Nickerson, Deborah A; Offit, Kenneth; Pearlman, Rachel; Pharoah, Paul D P; Platz, Elizabeth A; Potter, John D; Rennert, Gad; Sakoda, Lori C; Schafmayer, Clemens; Schmit, Stephanie L; Schoen, Robert E; Schumacher, Fredrick R; Slattery, Martha L; Su, Yu-Ru; Tangen, Catherine M; Ulrich, Cornelia M; van Duijnhoven, Franzel J B; Van Guelpen, Bethany; Visvanathan, Kala; Vodicka, Pavel; Vodickova, Ludmila; Vymetalkova, Veronika; Wang, Xiaoliang; White, Emily; Wolk, Alicja; Woods, Michael O; Casey, Graham; Hsu, Li; Jenkins, Mark A; Gruber, Stephen B; Peters, Ulrike; Zheng, Wei
BACKGROUND AND AIMS/OBJECTIVE:Susceptibility genes and the underlying mechanisms for the majority of risk loci identified by genome-wide association studies (GWAS) for colorectal cancer (CRC) risk remain largely unknown. We conducted a transcriptome-wide association study (TWAS) to identify putative susceptibility genes. METHODS:Gene-expression prediction models were built using transcriptome and genetic data from the 284 normal transverse colon tissues of European descendants from the Genotype-Tissue Expression (GTEx), and model performance was evaluated using data from The Cancer Genome Atlas (n = 355). We applied the gene-expression prediction models and GWAS data to evaluate associations of genetically predicted gene-expression with CRC risk in 58,131 CRC cases and 67,347 controls of European ancestry. Dual-luciferase reporter assays and knockdown experiments in CRC cells and tumor xenografts were conducted. RESULTS:, including genes in 4 novel loci, PYGL (14q22.1), RPL28 (19q13.42), CAPN12 (19q13.2), MYH7B (20q11.22), and MAP1L3CA (20q11.22). In 9 known GWAS-identified loci, we uncovered 9 genes that have not been reported previously, whereas 4 genes remained statistically significant after adjusting for the lead risk variant of the locus. Through colocalization analysis in GWAS loci, we additionally identified 12 putative susceptibility genes that were supported by TWAS analysis at P < .01. We showed that risk allele of the lead risk variant rs1741640 affected the promoter activity of CABLES2. Knockdown experiments confirmed that CABLES2 plays a vital role in colorectal carcinogenesis. CONCLUSIONS:Our study reveals new putative susceptibility genes and provides new insight into the biological mechanisms underlying CRC development.
PMID: 33058866
ISSN: 1528-0012
CID: 4792862

US veterans administration diabetes risk (VADR) national cohort: cohort profile

Avramovic, Sanja; Alemi, Farrokh; Kanchi, Rania; Lopez, Priscilla M; Hayes, Richard B; Thorpe, Lorna E; Schwartz, Mark D
PURPOSE/OBJECTIVE:The veterans administration diabetes risk (VADR) cohort facilitates studies on temporal and geographic patterns of pre-diabetes and diabetes, as well as targeted studies of their predictors. The cohort provides an infrastructure for examination of novel individual and community-level risk factors for diabetes and their consequences among veterans. This cohort also establishes a baseline against which to assess the impact of national or regional strategies to prevent diabetes in veterans. PARTICIPANTS/METHODS:The VADR cohort includes all 6 082 018 veterans in the USA enrolled in the veteran administration (VA) for primary care who were diabetes-free as of 1 January 2008 and who had at least two diabetes-free visits to a VA primary care service at least 30 days apart within any 5-year period since 1 January 2003, or veterans subsequently enrolled and were diabetes-free at cohort entry through 31 December 2016. Cohort subjects were followed from the date of cohort entry until censure defined as date of incident diabetes, loss to follow-up of 2 years, death or until 31 December 2018. FINDINGS TO DATE/UNASSIGNED:The incidence rate of type 2 diabetes in this cohort of over 6 million veterans followed for a median of 5.5 years (over 35 million person-years (PY)) was 26 per 1000 PY. During the study period, 8.5% of the cohort were lost to follow-up and 17.7% died. Many demographic, comorbidity and other clinical variables were more prevalent among patients with incident diabetes. FUTURE PLANS/UNASSIGNED:This cohort will be used to study community-level risk factors for diabetes, such as attributes of the food environment and neighbourhood socioeconomic status via geospatial linkage to residence address information.
PMID: 33277282
ISSN: 2044-6055
CID: 4712412

Risk Factors Associated With Early-onset Colorectal Cancer

Gausman, Valerie; Dornblaser, David; Anand, Sanya; Hayes, Richard B; O'Connell, Kelli; Du, Mengmeng; Liang, Peter S
BACKGROUND & AIMS/OBJECTIVE:The incidence of colorectal cancer (CRC) is increasing in individuals younger than 50 years, who do not usually undergo screening if they are of average risk. We sought to identify risk factors for CRC in this population. METHODS:We compared sociodemographic and medical characteristics of patients who received a diagnosis of CRC at an age of 18-49 years (early-onset) with patients who received a diagnosis of CRC at an age of 50 years or older (late-onset) and with age-matched, cancer-free individuals (controls) at a tertiary academic hospital. We collected data from all adult patients with a diagnosis of CRC from January 1, 2011 through April 3, 2017 from electronic health records. Associations with risk factors were assessed using univariable and multivariable logistic regression models. RESULTS:We identified 269 patients with early-onset CRC, 2802 with late-onset CRC, and 1122 controls. Compared with controls, patients with early-onset CRC were more likely to be male (odds ratio [OR], 1.87; 95% CI, 1.39-2.51), have inflammatory bowel disease (IBD) (3% vs 0.4% for controls; univariable P<.01), and have a family history of CRC (OR, 8.61; CI, 4.83-15.75). Prevalence values of well-established modifiable CRC risk factors, including obesity, smoking, and diabetes, were similar. Compared to patients with late-onset CRC, patients with early-onset CRC were more likely to be male (OR, 1.44; 95% CI, 1.11-1.87), black (OR, 1.73; 95% CI, 1.08-2.65) or Asian (OR, 2.60; 95% CI, 1.57-4.15), and have IBD (OR, 2.97; 95% CI, 1.16-6.63) or a family history of CRC (OR, 2.87; 95% CI, 1.89-4.25). Sensitivity analyses excluding IBD and family history of CRC showed comparable results. Early-onset CRC was more likely than late-onset disease to be detected in the left colon or rectum (75% vs 59%, P=.02) and at a late stage of tumor development (77% vs 62%, P=.01). CONCLUSIONS:In a retrospective study of patients with early-onset CRC vs late-onset CRC or no cancer, we identified non-modifiable risk factors, including sex, race, IBD, and family history of CRC, to be associated with early-onset CRC.
PMID: 31622737
ISSN: 1542-7714
CID: 4140642

Alcohol drinking and head and neck cancer risk: the joint effect of intensity and duration

Di Credico, Gioia; Polesel, Jerry; Dal Maso, Luigino; Pauli, Francesco; Torelli, Nicola; Luce, Daniele; Radoï, Loredana; Matsuo, Keitaro; Serraino, Diego; Brennan, Paul; Holcatova, Ivana; Ahrens, Wolfgang; Lagiou, Pagona; Canova, Cristina; Richiardi, Lorenzo; Healy, Claire M; Kjaerheim, Kristina; Conway, David I; Macfarlane, Gary J; Thomson, Peter; Agudo, Antonio; Znaor, Ariana; Franceschi, Silvia; Herrero, Rolando; Toporcov, Tatiana N; Moyses, Raquel A; Muscat, Joshua; Negri, Eva; Vilensky, Marta; Fernandez, Leticia; Curado, Maria Paula; Menezes, Ana; Daudt, Alexander W; Koifman, Rosalina; Wunsch-Filho, Victor; Olshan, Andrew F; Zevallos, Jose P; Sturgis, Erich M; Li, Guojun; Levi, Fabio; Zhang, Zuo-Feng; Morgenstern, Hal; Smith, Elaine; Lazarus, Philip; La Vecchia, Carlo; Garavello, Werner; Chen, Chu; Schwartz, Stephen M; Zheng, Tongzhang; Vaughan, Thomas L; Kelsey, Karl; McClean, Michael; Benhamou, Simone; Hayes, Richard B; Purdue, Mark P; Gillison, Maura; Schantz, Stimson; Yu, Guo-Pei; Chuang, Shu-Chun; Boffetta, Paolo; Hashibe, Mia; Yuan-Chin, Amy Lee; Edefonti, Valeria
BACKGROUND:Alcohol is a well-established risk factor for head and neck cancer (HNC). This study aims to explore the effect of alcohol intensity and duration, as joint continuous exposures, on HNC risk. METHODS:Data from 26 case-control studies in the INHANCE Consortium were used, including never and current drinkers who drunk ≤10 drinks/day for ≤54 years (24234 controls, 4085 oral cavity, 3359 oropharyngeal, 983 hypopharyngeal and 3340 laryngeal cancers). The dose-response relationship between the risk and the joint exposure to drinking intensity and duration was investigated through bivariate regression spline models, adjusting for potential confounders, including tobacco smoking. RESULTS:For all subsites, cancer risk steeply increased with increasing drinks/day, with no appreciable threshold effect at lower intensities. For each intensity level, the risk of oral cavity, hypopharyngeal and laryngeal cancers did not vary according to years of drinking, suggesting no effect of duration. For oropharyngeal cancer, the risk increased with durations up to 28 years, flattening thereafter. The risk peaked at the higher levels of intensity and duration for all subsites (odds ratio = 7.95 for oral cavity, 12.86 for oropharynx, 24.96 for hypopharynx and 6.60 for larynx). CONCLUSIONS:Present results further encourage the reduction of alcohol intensity to mitigate HNC risk.
PMID: 32830199
ISSN: 1532-1827
CID: 4573172

Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk

Thomas, Minta; Sakoda, Lori C; Hoffmeister, Michael; Rosenthal, Elisabeth A; Lee, Jeffrey K; van Duijnhoven, Franzel J B; Platz, Elizabeth A; Wu, Anna H; Dampier, Christopher H; de la Chapelle, Albert; Wolk, Alicja; Joshi, Amit D; Burnett-Hartman, Andrea; Gsur, Andrea; Lindblom, Annika; Castells, Antoni; Win, Aung Ko; Namjou, Bahram; Van Guelpen, Bethany; Tangen, Catherine M; He, Qianchuan; Li, Christopher I; Schafmayer, Clemens; Joshu, Corinne E; Ulrich, Cornelia M; Bishop, D Timothy; Buchanan, Daniel D; Schaid, Daniel; Drew, David A; Muller, David C; Duggan, David; Crosslin, David R; Albanes, Demetrius; Giovannucci, Edward L; Larson, Eric; Qu, Flora; Mentch, Frank; Giles, Graham G; Hakonarson, Hakon; Hampel, Heather; Stanaway, Ian B; Figueiredo, Jane C; Huyghe, Jeroen R; Minnier, Jessica; Chang-Claude, Jenny; Hampe, Jochen; Harley, John B; Visvanathan, Kala; Curtis, Keith R; Offit, Kenneth; Li, Li; Le Marchand, Loic; Vodickova, Ludmila; Gunter, Marc J; Jenkins, Mark A; Slattery, Martha L; Lemire, Mathieu; Woods, Michael O; Song, Mingyang; Murphy, Neil; Lindor, Noralane M; Dikilitas, Ozan; Pharoah, Paul D P; Campbell, Peter T; Newcomb, Polly A; Milne, Roger L; MacInnis, Robert J; Castellví-Bel, Sergi; Ogino, Shuji; Berndt, Sonja I; Bézieau, Stéphane; Thibodeau, Stephen N; Gallinger, Steven J; Zaidi, Syed H; Harrison, Tabitha A; Keku, Temitope O; Hudson, Thomas J; Vymetalkova, Veronika; Moreno, Victor; Martín, Vicente; Arndt, Volker; Wei, Wei-Qi; Chung, Wendy; Su, Yu-Ru; Hayes, Richard B; White, Emily; Vodicka, Pavel; Casey, Graham; Gruber, Stephen B; Schoen, Robert E; Chan, Andrew T; Potter, John D; Brenner, Hermann; Jarvik, Gail P; Corley, Douglas A; Peters, Ulrike; Hsu, Li
Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might benefit from earlier screening. The developed PRS offers a way for risk-stratified CRC screening and other targeted interventions.
PMID: 32758450
ISSN: 1537-6605
CID: 4560112

Benzene exposure-response and risk of lymphoid neoplasms in Chinese workers: A multicenter case-cohort study

Linet, Martha S; Gilbert, Ethel S; Vermeulen, Rudolf; Dores, Graça M; Yin, Song-Nian; Portengen, Lutzen; Hayes, Richard B; Ji, Bu-Tian; Lan, Qing; Li, Gui-Lan; Rothman, Nathaniel
BACKGROUND:While international agreement supports a causal relationship of benzene exposure with acute myeloid leukemia, there is debate about benzene and lymphoid neoplasm risks. METHODS:In a case-cohort study with follow-up of 110 631 Chinese workers during 1972-1999, we evaluated benzene exposure-response for non-Hodgkin lymphoma (NHL), lymphoid leukemias (LL), acute lymphocytic leukemia (ALL), and total lymphoid neoplasms (LN). We estimated benzene exposures using state-of-the-art hierarchical modeling of occupational factors calibrated with historical routine measurements and evaluated cumulative exposure-response using Cox regression. RESULTS:NHL and other specified LN were increased in exposed vs unexposed workers. However, there was no evidence of exposure-response for NHL or other specified LN. Based on a linear exposure-response, relative risks at 100 parts per million-years (RR at 100 ppm-years) for cumulative benzene exposure using a 2-year lag (exposure at least 2 years before the time at risk) were 1.05 for NHL (95 percent confidence interval (CI) = 0.97, 1.27; 32 cases), 1.11 for LL (95% CI < 0, 1.66; 12 cases), 1.21 for ALL (95% CI < 0, 3.53; 10 cases), and 1.02 for total LN (95% CI < 0, 1.16; 49 cases). No statistically significant exposure-response trends were apparent for these LN for 2 to <10-year or ≥10-year lags. NHL risks were not significantly modified by sex, age, or year at first exposure, attained age, or time since exposure. CONCLUSION/CONCLUSIONS:Given the study strengths and limitations, we found little evidence of exposure-response for benzene and NHL, LL, ALL, or total LN, although NHL and other specified LN were increased in exposed vs unexposed individuals.
PMID: 32474961
ISSN: 1097-0274
CID: 4476652

US nativity and dietary acculturation impact the gut microbiome in a diverse US population

Peters, Brandilyn A; Yi, Stella S; Beasley, Jeannette M; Cobbs, Emilia N; Choi, Hee Sun; Beggs, Dia B; Hayes, Richard B; Ahn, Jiyoung
Little is known regarding the impact of immigrant acculturation on the gut microbiome. We characterized differences in the gut microbiome between racially/ethnically diverse US immigrant and US-born groups, and determined the impact of dietary acculturation on the microbiome. Stool samples were collected from 863 US residents, including US-born (315 White, 93 Black, 40 Hispanic) and foreign-born (105 Hispanic, 264 Korean) groups. We determined dietary acculturation from dissimilarities based on food frequency questionnaires, and used 16S rRNA gene sequencing to characterize the microbiome. Gut microbiome composition differed across study groups, with the largest difference between foreign-born Koreans and US-born Whites, and significant differences also observed between foreign-born and US-born Hispanics. Differences in sub-operational taxonomic unit (s-OTU) abundance between foreign-born and US-born groups tended to be distinct from differences between US-born groups. Bacteroides plebeius, a seaweed-degrading bacterium, was strongly enriched in foreign-born Koreans, while Prevotella copri and Bifidobacterium adolescentis were strongly enriched in foreign-born Koreans and Hispanics, compared with US-born Whites. Dietary acculturation in foreign-born participants was associated with specific s-OTUs, resembling abundance in US-born Whites; e.g., a Bacteroides plebeius s-OTU was depleted in highly diet-acculturated Koreans. In summary, we observed that US nativity is a determinant of the gut microbiome in a US resident population. Dietary acculturation may result in loss of native species in immigrants, though further research is necessary to explore whether acculturation-related microbiome alterations have consequences for immigrant health.
PMID: 32210364
ISSN: 1751-7370
CID: 4358512

Cumulative Burden of Colorectal Cancer-Associated Genetic Variants is More Strongly Associated With Early-onset vs Late-onset Cancer

Archambault, Alexi N; Su, Yu-Ru; Jeon, Jihyoun; Thomas, Minta; Lin, Yi; Conti, David V; Win, Aung Ko; Sakoda, Lori C; Lansdorp-Vogelaar, Iris; Peterse, Elisabeth Fp; Zauber, Ann G; Duggan, David; Holowatyj, Andreana N; Huyghe, Jeroen R; Brenner, Hermann; Cotterchio, Michelle; Bézieau, Stéphane; Schmit, Stephanie L; Edlund, Christopher K; Southey, Melissa C; MacInnis, Robert J; Campbell, Peter T; Chang-Claude, Jenny; Slattery, Martha L; Chan, Andrew T; Joshi, Amit D; Song, Mingyang; Cao, Yin; Woods, Michael O; White, Emily; Weinstein, Stephanie J; Ulrich, Cornelia M; Hoffmeister, Michael; Bien, Stephanie A; Harrison, Tabitha A; Hampe, Jochen; Li, Christopher I; Schafmayer, Clemens; Offit, Kenneth; Pharoah, Paul D; Moreno, Victor; Lindblom, Annika; Wolk, Alicja; Wu, Anna H; Li, Li; Gunter, Marc J; Gsur, Andrea; Keku, Temitope O; Pearlman, Rachel; Bishop, D Timothy; Castellví-Bel, Sergi; Moreira, Leticia; Vodicka, Pavel; Kampman, Ellen; Giles, Graham G; Albanes, Demetrius; Baron, John A; Berndt, Sonja I; Brezina, Stefanie; Buch, Stephan; Buchanan, Daniel D; Trichopoulou, Antonia; Severi, Gianluca; Chirlaque, María-Dolores; Sánchez, Maria-José; Palli, Domenico; Kühn, Tilman; Murphy, Neil; Cross, Amanda J; Burnett-Hartman, Andrea N; Chanock, Stephen J; Chapelle, Albert de la; Easton, Douglas F; Elliott, Faye; English, Dallas R; Feskens, Edith Jm; FitzGerald, Liesel M; Goodman, Phyllis J; Hopper, John L; Hudson, Thomas J; Hunter, David J; Jacobs, Eric J; Joshu, Corinne E; Küry, Sébastien; Markowitz, Sanford D; Milne, Roger L; Platz, Elizabeth A; Rennert, Gad; Rennert, Hedy S; Schumacher, Fredrick R; Sandler, Robert S; Seminara, Daniela; Tangen, Catherine M; Thibodeau, Stephen N; Toland, Amanda E; van Duijnhoven, Franzel Jb; Visvanathan, Kala; Vodickova, Ludmila; Potter, John D; Männistö, Satu; Weigl, Korbinian; Figueiredo, Jane; Martín, Vicente; Larsson, Susanna C; Parfrey, Patrick S; Huang, Wen-Yi; Lenz, Heinz-Josef; Castelao, Jose E; Gago-Dominguez, Manuela; Muñoz-Garzón, Victor; Mancao, Christoph; Haiman, Christopher A; Wilkens, Lynne R; Siegel, Erin; Barry, Elizabeth; Younghusband, Ban; Van Guelpen, Bethany; Harlid, Sophia; Zeleniuch-Jacquotte, Anne; Liang, Peter S; Du, Mengmeng; Casey, Graham; Lindor, Noralane M; Le Marchand, Loic; Gallinger, Steven J; Jenkins, Mark A; Newcomb, Polly A; Gruber, Stephen B; Schoen, Robert E; Hampel, Heather; Corley, Douglas A; Hsu, Li; Peters, Ulrike; Hayes, Richard B
BACKGROUND & AIMS/OBJECTIVE: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:). 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 more strongly associated with early-onset than late-onset cancer-particularly in the absence of CRC family history. Analyses of PRS, along with environmental and lifestyle risk factors, might identify younger individuals who would benefit from preventative measures.
PMID: 31866242
ISSN: 1528-0012
CID: 4243992

Meta-analysis of 16 studies of the association of alcohol with colorectal cancer

McNabb, Sarah; Harrison, Tabitha A; Albanes, Demetrius; Berndt, Sonja I; Brenner, Hermann; Caan, Bette J; Campbell, Peter T; Cao, Yin; Chang-Claude, Jenny; Chan, Andrew; Chen, Zhengyi; English, Dallas R; Giles, Graham G; Giovannucci, Edward L; Goodman, Phyllis J; Hayes, Richard B; Hoffmeister, Michael; Jacobs, Eric J; Joshi, Amit D; Larsson, Susanna C; Le Marchand, Loïc; Li, Li; Lin, Yi; Männistö, Satu; Milne, Roger L; Nan, Hongmei; Newton, Christina; Ogino, Shuji; Parfrey, Patrick S; Petersen, Paneen S; Potter, John D; Schoen, Robert E; Slattery, Martha L; Su, Yu-Ru; Tangen, Catherine M; Tucker, Thomas C; Weinstein, Stephanie J; White, Emily; Wolk, Alicja; Woods, Michael O; Phipps, Amanda I; Peters, Ulrike
Alcohol consumption is an established risk factor for colorectal cancer (CRC). However, while studies have consistently reported elevated risk of CRC among heavy drinkers, associations at moderate levels of alcohol consumption are less clear. We conducted a combined analysis of 16 studies of CRC to examine the shape of the alcohol-CRC association, investigate potential effect modifiers of the association, and examine differential effects of alcohol consumption by cancer anatomic site and stage. We collected information on alcohol consumption for 14,276 CRC cases and 15,802 controls from five case-control and 11 nested case-control studies of CRC. We compared adjusted logistic regression models with linear and restricted cubic splines to select a model that best fit the association between alcohol consumption and CRC. Study-specific results were pooled using fixed-effects meta-analysis. Compared to non-/occasional drinking (≤1 g/day), light/moderate drinking (up to 2 drinks/day) was associated with a decreased risk of CRC (OR: 0.92, 95% CI: 0.88-0.98, p = 0.005), heavy drinking (2-3 drinks/day) was not significantly associated with CRC risk (OR: 1.11, 95% CI: 0.99-1.24, p = 0.08), and very heavy drinking (more than 3 drinks/day) was associated with a significant increased risk (OR: 1.25, 95% CI: 1.11-1.40, p < 0.001). We observed no evidence of interactions with lifestyle risk factors or of differences by cancer site or stage. These results provide further evidence that there is a J-shaped association between alcohol consumption and CRC risk. This overall pattern was not significantly modified by other CRC risk factors and there was no effect heterogeneity by tumor site or stage.
PMID: 31037736
ISSN: 1097-0215
CID: 3854592