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299 results on '"Marchand, Loïc Le"'

1. Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations

Author

Liu, Shuai, Zhu, Jingjing, Zhong, Hua, Wu, Chong, Xue, Haoran, Darst, Burcu F., Guo, Xiuqing, Durda, Peter, Tracy, Russell P., Liu, Yongmei, Johnson, W. Craig, Taylor, Kent D., Manichaikul, Ani W., Goodarzi, Mark O., Gerszten, Robert E., Clish, Clary B., Chen, Yii-Der Ida, Highland, Heather, Haiman, Christopher A., Gignoux, Christopher R., Lange, Leslie, Conti, David V., Raffield, Laura M., Wilkens, Lynne, Marchand, Loïc Le, North, Kari E., Young, Kristin L., Loos, Ruth J., Buyske, Steve, Matise, Tara, Peters, Ulrike, Kooperberg, Charles, Reiner, Alexander P., Yu, Bing, Boerwinkle, Eric, Sun, Quan, Rooney, Mary R., Echouffo-Tcheugui, Justin B., Daviglus, Martha L., Qi, Qibin, Mancuso, Nicholas, Li, Changwei, Deng, Youping, Manning, Alisa, Meigs, James B., Rich, Stephen S., Rotter, Jerome I., and Wu, Lang

Published
2024
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2. Association Between Outdoor Air Pollution and Risk of Malignant and Benign Brain Tumors: The Multiethnic Cohort Study.

Author

Wu, Anna H, Wu, Jun, Tseng, Chiuchen, Yang, Juan, Shariff-Marco, Salma, Fruin, Scott, Larson, Timothy, Setiawan, Veronica W, Masri, Shahir, Porcel, Jacqueline, Jain, Jennifer, Chen, Thomas C, Stram, Daniel O, Marchand, Loïc Le, Ritz, Beate, and Cheng, Iona

Abstract

BackgroundThere are increasing concerns about the potential impact of air pollution on chronic brain inflammation and microglia cell activation, but evidence of its carcinogenic effects is limited.MethodsWe used kriging interpolation and land use regression models to estimate long-term air pollutant exposures of oxides of nitrogen (NOx, NO2), kriging interpolation for ozone (O3), carbon monoxide, and particulate matter (PM2.5, PM10), and nearest monitoring station measurements for benzene for 103 308 men and women from the Multiethnic Cohort, residing largely in Los Angeles County from recruitment (1993-1996) through 2013. We used Cox proportional hazards models to examine the associations between time-varying pollutants and risk of malignant brain cancer (94 men, 116 women) and meningioma (130 men, 425 women) with adjustment for sex, race and ethnicity, neighborhood socioeconomic status, smoking, occupation, and other covariates. Stratified analyses were conducted by sex and race and ethnicity.ResultsBrain cancer risk in men increased in association with exposure to benzene (hazard ratio [HR] = 3.52, 95% confidence interval [CI] = 1.55 to 7.55) and PM10 (HR = 1.80, 95% CI = 1.00 to 3.23). Stronger associations with PM10 (HR = 3.02, 95% CI = 1.26 to 7.23), O3 (HR = 2.93, 95% CI = 1.09 to 7.88), and benzene (HR = 4.06, 95% CI = 1.17 to 18.2) were observed among Latino men. Air pollution was unrelated to risk of meningioma except that O3 exposure was associated with risk in men (HR = 1.77, 95% CI = 1.02 to 3.06). Brain cancer risk in women was unrelated to air pollution exposures.ConclusionsConfirmation of these sex differences in air pollution-brain cancer associations and the stronger findings in Latino men in additional diverse populations is warranted.

Published
2020

3. Hepcidin-regulating iron metabolism genes and pancreatic ductal adenocarcinoma: a pathway analysis of genome-wide association studies

Author

Julián-Serrano, Sachelly, Yuan, Fangcheng, Wheeler, William, Benyamin, Beben, Machiela, Mitchell J, Arslan, Alan A, Beane-Freeman, Laura E, Bracci, Paige M, Duell, Eric J, Du, Mengmeng, Gallinger, Steven, Giles, Graham G, Goodman, Phyllis J, Kooperberg, Charles, Marchand, Loic Le, Neale, Rachel E, Shu, Xiao-Ou, Van Den Eeden, Stephen K, Visvanathan, Kala, Zheng, Wei, Albanes, Demetrius, Andreotti, Gabriella, Ardanaz, Eva, Babic, Ana, Berndt, Sonja I, Brais, Lauren K, Brennan, Paul, Bueno-de-Mesquita, Bas, Buring, Julie E, Chanock, Stephen J, Childs, Erica J, Chung, Charles C, Fabiánová, Eleonora, Foretová, Lenka, Fuchs, Charles S, Gaziano, J Michael, Gentiluomo, Manuel, Giovannucci, Edward L, Goggins, Michael G, Hackert, Thilo, Hartge, Patricia, Hassan, Manal M, Holcátová, Ivana, Holly, Elizabeth A, Hung, Rayjean I, Janout, Vladimir, Kurtz, Robert C, Lee, I-Min, Malats, Núria, McKean, David, Milne, Roger L, Newton, Christina C, Oberg, Ann L, Perdomo, Sandra, Peters, Ulrike, Porta, Miquel, Rothman, Nathaniel, Schulze, Matthias B, Sesso, Howard D, Silverman, Debra T, Thompson, Ian M, Wactawski-Wende, Jean, Weiderpass, Elisabete, Wenstzensen, Nicolas, White, Emily, Wilkens, Lynne R, Yu, Herbert, Zeleniuch-Jacquotte, Anne, Zhong, Jun, Kraft, Peter, Li, Dounghui, Campbell, Peter T, Petersen, Gloria M, Wolpin, Brian M, Risch, Harvey A, Amundadottir, Laufey T, Klein, Alison P, Yu, Kai, and Stolzenberg-Solomon, Rachael Z

Published
2021
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4. Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom

Author

Lo, Chun-Han, Nguyen, Long H., Drew, David A., Warner, Erica T., Joshi, Amit D., Graham, Mark S., Anyane-Yeboa, Adjoa, Shebl, Fatma M., Astley, Christina M., Figueiredo, Jane C., Guo, Chuan-Guo, Ma, Wenjie, Mehta, Raaj S., Kwon, Sohee, Song, Mingyang, Davies, Richard, Capdevila, Joan, Sudre, Carole H., Wolf, Jonathan, Cozier, Yvette C., Rosenberg, Lynn, Wilkens, Lynne R., Haiman, Christopher A., Marchand, Loïc Le, Palmer, Julie R., Spector, Tim D., Ourselin, Sebastien, Steves, Claire J., and Chan, Andrew T.

Published
2021
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5. Racial and ethnic differences in second primary lung cancer risk among lung cancer survivors.

Author

Choi, Eunji, Hua, Yue, Su, Chloe C, Wu, Julie T, Neal, Joel W, Leung, Ann N, Backhus, Leah M, Haiman, Christopher, Marchand, Loïc Le, Liang, Su-Ying, Wakelee, Heather A, Cheng, Iona, and Han, Summer S

Subjects
RACE, BLACK people, RACIAL inequality, SEARCH warrants (Law), AFRICAN Americans
Abstract

Background Recent therapeutic advances have improved survival among lung cancer (LC) patients, who are now at high risk of second primary lung cancer (SPLC). Hispanics comprise the largest minority in the United States, who have shown a lower LC incidence and mortality than other races, and yet their SPLC risk is poorly understood. We quantified the SPLC incidence patterns among Hispanics vs other races. Methods We used data from the Multiethnic Cohort, a population-based cohort of 5 races (African American, Japanese American, Hispanic, Native Hawaiian, and White), recruited between 1993 and 1996 and followed through 2017. We identified patients diagnosed with initial primary lung cancer (IPLC) and SPLC via linkage to Surveillance, Epidemiology, and End Results registries. We estimated the 10-year cumulative incidence of IPLC (in the entire cohort) and SPLC (among IPLC patients). A standardized incidence ratio (SIR) was calculated as the ratio of SPLC-to-IPLC incidence by race and ethnicity. Results Among 202 692 participants, 6788 (3.3%) developed IPLC over 3 871  417 person-years. The 10-year cumulative IPLC incidence was lower among Hispanics (0.80%, 0.72 to 0.88) vs Whites (1.67%, 1.56 to 1.78) or Blacks (2.44%, 2.28 to 2.60). However, the 10-year SPLC incidence following IPLC was higher among Hispanics (3.11%, 1.62 to 4.61) vs Whites (2.80%, 1.94 to 3.66) or Blacks (2.29%, 1.48 to 3.10), resulting in a significantly higher SIR for Hispanics (SIR = 8.27, 5.05 to 12.78) vs Whites (SIR = 5.60, 4.11 to 7.45) or Blacks (SIR = 3.48, 2.42 to 4.84; P  < .001). Conclusion Hispanics have a higher SPLC incidence following IPLC than other races, which may be potentially due to better survival after IPLC and extended duration for SPLC development. Continuing surveillance is warranted to reduce racial disparities among LC survivors. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Supplementary Table S6 from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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7. Data from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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8. Figure S4 from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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9. Lung cancer in ever- and never-smokers : findings from multi-population GWAS studies

Author

Li, Yafang, Xiao, Xiangjun, Li, Jianrong, Han, Younghun, Cheng, Chao, Fernandes, Gail F., Slewitzke, Shannon E., Rosenberg, Susan M., Zhu, Meng, Byun, Jinyoung, Bossé, Yohan, McKay, James D., Albanes, Demetrios, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Landi, Maria T., Johansson, Mattias, Risch, Angela, Bickeböller, Heike, Wichmann, H-Erich, Christiani, David C., Rennert, Gad, Arnold, Susanne M., Goodman, Gary E., Field, John K., Davies, Michael P A, Shete, Sanjay, Marchand, Loïc Le, Liu, Geoffrey, Hung, Rayjean J., Andrew, Angeline S., Kiemeney, Lambertus A., Sun, Ryan, Zienolddiny, Shanbeh, Grankvist, Kjell, Johansson, Mikael, Caporaso, Neil E., Cox, Angela, Hong, Yun-Chul, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Schwartz, Ann G., Gorlov, Ivan, Purrington, Kristen S., Yang, Ping, Liu, Yanhong, Bailey-Wilson, Joan E., Pinney, Susan M., Mandal, Diptasri, Willey, James C., Gaba, Colette, Brennan, Paul, Xia, Jun, Shen, Hongbing, Amos, Christopher I., Li, Yafang, Xiao, Xiangjun, Li, Jianrong, Han, Younghun, Cheng, Chao, Fernandes, Gail F., Slewitzke, Shannon E., Rosenberg, Susan M., Zhu, Meng, Byun, Jinyoung, Bossé, Yohan, McKay, James D., Albanes, Demetrios, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Landi, Maria T., Johansson, Mattias, Risch, Angela, Bickeböller, Heike, Wichmann, H-Erich, Christiani, David C., Rennert, Gad, Arnold, Susanne M., Goodman, Gary E., Field, John K., Davies, Michael P A, Shete, Sanjay, Marchand, Loïc Le, Liu, Geoffrey, Hung, Rayjean J., Andrew, Angeline S., Kiemeney, Lambertus A., Sun, Ryan, Zienolddiny, Shanbeh, Grankvist, Kjell, Johansson, Mikael, Caporaso, Neil E., Cox, Angela, Hong, Yun-Chul, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Schwartz, Ann G., Gorlov, Ivan, Purrington, Kristen S., Yang, Ping, Liu, Yanhong, Bailey-Wilson, Joan E., Pinney, Susan M., Mandal, Diptasri, Willey, James C., Gaba, Colette, Brennan, Paul, Xia, Jun, Shen, Hongbing, and Amos, Christopher I.

Abstract

BACKGROUND: Clinical, molecular, and genetic epidemiology studies displayed remarkable differences between ever- and never-smoking lung cancer. METHODS: We conducted a stratified multi-population (European, East Asian, and African descent) association study on 44,823 ever-smokers and 20,074 never-smokers to identify novel variants that were missed in the non-stratified analysis. Functional analysis including expression quantitative trait loci (eQTL) colocalization and DNA damage assays, and annotation studies were conducted to evaluate the functional roles of the variants. We further evaluated the impact of smoking quantity on lung cancer risk for the variants associated with ever-smoking lung cancer. RESULTS: Five novel independent loci, GABRA4, intergenic region 12q24.33, LRRC4C, LINC01088, and LCNL1 were identified with the association at two or three populations (P < 5 × 10-8). Further functional analysis provided multiple lines of evidence suggesting the variants affect lung cancer risk through excessive DNA damage (GABRA4) or cis-regulation of gene expression (LCNL1). The risk of variants from 12 independent regions, including the well-known CHRNA5, associated with ever-smoking lung cancer was evaluated for never-smokers, light-smokers (packyear ≤ 20), and moderate-to-heavy-smokers (packyear > 20). Different risk patterns were observed for the variants among the different groups by smoking behavior. CONCLUSIONS: We identified novel variants associated with lung cancer in only ever- or never-smoking groups that were missed by prior main-effect association studies. IMPACT: Our study highlights the genetic heterogeneity between ever- and never-smoking lung cancer and provides etiologic insights into the complicated genetic architecture of this deadly cancer.

Published
2024
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12. Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, additional, Li, Jianrong, additional, Han, Younghun, additional, Cheng, Chao, additional, Fernandes, Gail F., additional, Slewitzke, Shannon E., additional, Rosenberg, Susan M., additional, Zhu, Meng, additional, Byun, Jinyoung, additional, Bossé, Yohan, additional, McKay, James D., additional, Albanes, Demetrios, additional, Lam, Stephen, additional, Tardon, Adonina, additional, Chen, Chu, additional, Bojesen, Stig E., additional, Landi, Maria T., additional, Johansson, Mattias, additional, Risch, Angela, additional, Bickeböller, Heike, additional, Wichmann, H-Erich, additional, Christiani, David C., additional, Rennert, Gad, additional, Arnold, Susanne M., additional, Goodman, Gary E., additional, Field, John K., additional, Davies, Michael P.A., additional, Shete, Sanjay, additional, Marchand, Loïc Le, additional, Liu, Geoffrey, additional, Hung, Rayjean J., additional, Andrew, Angeline S., additional, Kiemeney, Lambertus A., additional, Sun, Ryan, additional, Zienolddiny, Shanbeh, additional, Grankvist, Kjell, additional, Johansson, Mikael, additional, Caporaso, Neil E., additional, Cox, Angela, additional, Hong, Yun-Chul, additional, Lazarus, Philip, additional, Schabath, Matthew B., additional, Aldrich, Melinda C., additional, Schwartz, Ann G., additional, Gorlov, Ivan, additional, Purrington, Kristen S., additional, Yang, Ping, additional, Liu, Yanhong, additional, Bailey-Wilson, Joan E., additional, Pinney, Susan M., additional, Mandal, Diptasri, additional, Willey, James C., additional, Gaba, Colette, additional, Brennan, Paul, additional, Xia, Jun, additional, Shen, Hongbing, additional, and Amos, Christopher I., additional

Published
2024
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13. Alcohol intake and endogenous sex hormones in women: meta-analysis of cohort studies and Mendelian randomization

Author

Tin, Sandar Tin, primary, Smith-Byrne, Karl, additional, Ferrari, Pietro, additional, Rinaldi, Sabina, additional, McCullough, Marjorie L, additional, Teras, Lauren R, additional, Manjer, Jonas, additional, Giles, Graham, additional, Marchand, Loïc Le, additional, Haiman, Christopher A, additional, Wilkens, Lynne R, additional, Chen, Yu, additional, Hankinson, Sue, additional, Tworoger, Shelley, additional, Eliassen, A Heather, additional, Willett, Walter C, additional, Ziegler, Regina G, additional, Fuhrman, Barbara J, additional, Sieri, Sabina, additional, Agnoli, Claudia, additional, Cauley, Jane, additional, Menon, Usha, additional, Fourkala, Evangelia Ourania, additional, Rohan, Thomas E, additional, Kaaks, Rudolf, additional, Reeves, Gillian K, additional, and Key, Timothy J, additional

Published
2023
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14. Genome-wide association study confirms lung cancer susceptibility loci on chromosomes 5p15 and 15q25 in an African-American population

Author

Zanetti, Krista A., Wang, Zhaoming, Aldrich, Melinda, Amos, Christopher I., Blot, William J., Bowman, Elise D., Burdette, Laurie, Cai, Qiuyin, Caporaso, Neil, Chung, Charles C., Gillanders, Elizabeth M., Haiman, Christopher A., Hansen, Helen M., Henderson, Brian E., Kolonel, Laurence N., Marchand, Loic Le, Li, Shengchao, McNeill, Lorna Haughton, Ryan, Bríd M., Schwartz, Ann G., Sison, Jennette D., Spitz, Margaret R., Tucker, Margaret, Wenzlaff, Angela S., Wiencke, John K., Wilkens, Lynne, Wrensch, Margaret R., Wu, Xifeng, Zheng, Wei, Zhou, Weiyin, Christiani, David, Palmer, Julie R., Penning, Trevor M., Rieber, Alyssa G., Rosenberg, Lynn, Ruiz-Narvaez, Edward A., Su, Li, Vachani, Anil, Wei, Yongyue, Whitehead, Alexander S., Chanock, Stephen J., and Harris, Curtis C.

Published
2016
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15. Association of Endocrine Disrupting Chemicals With the Metabolic Syndrome Among Women in the Multiethnic Cohort Study.

Author

Ihenacho, Ugonna, Guillermo, Cherie, Wilkens, Lynne R, Franke, Adrian A, Tseng, Chiuchen, Li, Yuqing, Sangaramoorthy, Meera, Derouen, Mindy C, Haiman, Christopher A, Stram, Daniel O, Marchand, Loïc Le, Cheng, Iona, and Wu, Anna H

Subjects
ENDOCRINE disruptors, METABOLIC syndrome, CARDIOVASCULAR diseases, HDL cholesterol, AFRICAN American women, COHORT analysis
Abstract

Metabolic syndrome (MetS) is associated with a high risk of cardiovascular disease, a leading cause of death among women. MetS is a diagnosis of at least 3 of the following: high blood pressure, high fasting glucose, high triglycerides, high waist circumference, and low high-density lipoprotein cholesterol. Epidemiological studies suggest that endocrine disrupting chemical (EDC) exposure is positively associated with individual components of MetS, but evidence of an association between EDCs and MetS remains inconsistent. In a cross-sectional analysis within the Multiethnic Cohort Study, we evaluated the association between 4 classes of urinary EDCs (bisphenol A [BPA], triclosan, parabens, and phthalates) and MetS among 1728 women. Multivariable logistic regression was used to estimate odds ratios and 95% CI for the association between tertiles of each EDC and MetS adjusting for age, body mass index (BMI), racial and ethnic group, and breast cancer status. Stratified analyses by race and ethnicity and BMI were conducted. MetS was identified in 519 (30.0%) women. We did not detect statistically significant associations of MetS with BPA, triclosan, or phthalate metabolite excretion. MetS was inversely associated with total parabens (P trend =.002). Although there were suggestive inverse associations between EDCs and MetS among Latino and African American women, and women with BMI < 30 kg/m2, there was no statistically significant heterogeneity in associations by race and ethnicity or BMI. These findings suggest an inverse association between parabens and MetS in larger multiethnic studies. Prospective analyses to investigate suggested differences in associations by race, ethnicity, and BMI are warranted. [ABSTRACT FROM AUTHOR]

Published
2023
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19. Supplemental Tables 1-4 from Inclusion of a Genetic Risk Score into a Validated Risk Prediction Model for Colorectal Cancer in Japanese Men Improves Performance

Author

Iwasaki, Motoki, primary, Tanaka-Mizuno, Sachiko, primary, Kuchiba, Aya, primary, Yamaji, Taiki, primary, Sawada, Norie, primary, Goto, Atsushi, primary, Shimazu, Taichi, primary, Sasazuki, Shizuka, primary, Wang, Hansong, primary, Marchand, Loïc Le, primary, and Tsugane, Shoichiro, primary

Published
2023
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20. Supplemental Figure 1 from Contextual Impact of Neighborhood Obesogenic Factors on Postmenopausal Breast Cancer: The Multiethnic Cohort

Author

Conroy, Shannon M., primary, Clarke, Christina A., primary, Yang, Juan, primary, Shariff-Marco, Salma, primary, Shvetsov, Yurii B., primary, Park, Song-Yi, primary, Albright, Cheryl L., primary, Hertz, Andrew, primary, Monroe, Kristine R., primary, Kolonel, Laurence N., primary, Marchand, Loïc Le, primary, Wilkens, Lynne R., primary, Gomez, Scarlett Lin, primary, and Cheng, Iona, primary

Published
2023
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22. Supplemental Table 1 from Contextual Impact of Neighborhood Obesogenic Factors on Postmenopausal Breast Cancer: The Multiethnic Cohort

Author

Conroy, Shannon M., primary, Clarke, Christina A., primary, Yang, Juan, primary, Shariff-Marco, Salma, primary, Shvetsov, Yurii B., primary, Park, Song-Yi, primary, Albright, Cheryl L., primary, Hertz, Andrew, primary, Monroe, Kristine R., primary, Kolonel, Laurence N., primary, Marchand, Loïc Le, primary, Wilkens, Lynne R., primary, Gomez, Scarlett Lin, primary, and Cheng, Iona, primary

Published
2023
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23. Supplemental Table 2 from Contextual Impact of Neighborhood Obesogenic Factors on Postmenopausal Breast Cancer: The Multiethnic Cohort

Author

Conroy, Shannon M., primary, Clarke, Christina A., primary, Yang, Juan, primary, Shariff-Marco, Salma, primary, Shvetsov, Yurii B., primary, Park, Song-Yi, primary, Albright, Cheryl L., primary, Hertz, Andrew, primary, Monroe, Kristine R., primary, Kolonel, Laurence N., primary, Marchand, Loïc Le, primary, Wilkens, Lynne R., primary, Gomez, Scarlett Lin, primary, and Cheng, Iona, primary

Published
2023
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25. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

Author

Yarmolinsky, James, Robinson, Jamie W, Mariosa, Daniela, Karhunen, Ville, Huang, Jian, Dimou, Niki, Murphy, Neil, Burrows, Kimberley, Bouras, Emmanouil, Smith-Byrne, Karl, Lewis, Sarah J, Galesloot, Tessel E, Kiemeney, Lambertus A, Vermeulen, Sita, Martin, Paul, Albanes, Demetrius, Hou, Lifang, Newcomb, Polly A, White, Emily, Wolk, Alicja, Wu, Anna H, Marchand, Loïc Le, Phipps, Amanda I, Buchanan, Daniel D, Zhao, Sizheng Steven, Gill, Dipender, Chanock, Stephen J, Purdue, Mark P, Smith, George Davey, Brennan, Paul, Herzig, Karl-Heinz, Jarvelin, Marjo-Riitta, Dehghan, Abbas, Johansson, Mattias, Gunter, Marc J, Tsilidis, Kostas K, and Martin, Richard M

Subjects
Article
Abstract

BACKGROUND: Tumour-promoting inflammation is a “hallmark” of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis -Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,162 cancer cases and up to 824,556 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant ( P < 5.0 x 10 (-8) ) cis -acting SNPs (i.e. in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r (2) < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P -value (“ q -value”) < 0.05 was used as a threshold to define “strong evidence” to support associations and 0.05 ≤ q -value < 0.20 to define “suggestive evidence”. A colocalisation posterior probability (PPH (4) ) > 70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. RESULTS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR 1.19, 95% CI 1.10-1.29, q -value=0.033, PPH (4) =84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR 1.42, 95% CI 1.20-1.69, q -value=0.055, PPH (4) =73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR 0.66, 95% CI 0.53-0.81, q -value=0.067, PPH (4) =81.8%), macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR 1.14, 95% CI 1.05-1.23, q -value=0.072, PPH (4) =76.1%), and interleukin-1 receptor-like 1 concentrations with decreased triple-negative breast cancer risk (OR 0.92, 95% CI 0.88-0.97, q -value=0.15), PPH (4) =85.6%). For 22 of 30 cancer outcomes examined, there was little evidence ( q -value ≥ 0.20) that any of the 66 circulating inflammatory markers examined were associated with cancer risk. CONCLUSION: Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 5 circulating inflammatory markers in risk of 5 site-specific cancers. Contrary to reports from some prior conventional epidemiological studies, we found little evidence of association of circulating inflammatory markers with the majority of site-specific cancers evaluated.

Published
2023

31. Are the common genetic variants associated with colorectal cancer risk for DNA mismatch repair gene mutation carriers?

Author

Win, Aung Ko, Hopper, John L., Buchanan, Daniel D., Young, Joanne P., Tenesa, Albert, Dowty, James G., Giles, Graham G., Goldblatt, Jack, Winship, Ingrid, Boussioutas, Alex, Young, Graeme P., Parry, Susan, Baron, John A., Duggan, David, Gallinger, Steven, Newcomb, Polly A., Haile, Robert W., Marchand, Loïc Le, Lindor, Noralane M., and Jenkins, Mark A.

Published
2013
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34. Abstract PO-175: Neighborhood segregation typology and breast cancer risk: The Multiethnic Cohort Study

Author

Sangaramoorthy, Meera, primary, Gibbons, Joseph, additional, Yang, Juan, additional, Lin, Katherine, additional, Li, Yuqing, additional, Khan-Gates, Jenna A, additional, Inamdar, Pushkar, additional, Haiman, Christopher A., additional, Marchand, Loïc Le, additional, Wilkens, Lynne R, additional, Gomez, Scarlett L., additional, Shariff-Marco, Salma, additional, and Cheng, Iona, additional

Published
2022
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35. Abstract PO-171: Local economic and racial/ethnic segregation and breast cancer risk: The Multiethnic Cohort Study

Author

Khan-Gates, Jenna, primary, Shariff-Marco, Salma, additional, Lin, Katherine, additional, Inamdar, Pushkar, additional, Yang, Juan, additional, Li, Yuqing, additional, Sangaramoorthy, Meera, additional, Haiman, Christopher, additional, Marchand, Loïc Le, additional, Wilkens, Lynne R, additional, Gomez, Scarlett L, additional, and Cheng, Iona, additional

Published
2022
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36. Diet Quality and Pancreatic Cancer Incidence in the Multiethnic Cohort.

Author

Steel, Heather, Song-Yi Park, Lim, Tiffany, Stram, Daniel O., Boushey, Carol J., Hébert, James R., Marchand, Loïc Le, Wu, Anna H., and Setiawan, Veronica Wendy

Abstract

Background: Data on diet quality and pancreatic cancer are limited. We examined the relationship between diet quality, assessed by the Healthy Eating Index-2015 (HEI-2015), the Alternative Healthy Eating Index-2010 (AHEI-2010), the alternate Mediterranean Diet (aMED) score, the Dietary Approaches to Stop Hypertension (DASH) score and the energy-adjusted Dietary Inflammatory Index (E-DII), and pancreatic cancer incidence in the Multiethnic Cohort Study. Methods: Diet quality scores were calculated from a validated food frequency questionnaire administered at baseline. Cox models were used to calculate HR and 95% confidence intervals (CI) adjusted for age, sex, race/ethnicity, education, diabetes, family history of pancreatic cancer, physical activity, smoking variables, total energy intake, body mass index (BMI), and alcohol consumption. Stratified analyses by sex, race/ethnicity, smoking status, and BMI were conducted. Results: Over an average follow-up of 19.3 years, 1,779 incident pancreatic cancer cases were identified among 177,313 participants (average age of 60.2 years at baseline, 1993-1996). Overall, we did not observe associations between the dietary pattern scores and pancreatic cancer (aMED: 0.98; 95% CI, 0.83-1.16; HEI-2015: 1.03; 95% CI, 0.88-1.21; AHEI-2010: 1.03; 95% CI, 0.88-1.20; DASH: 0.92; 95% CI, 0.79-1.08; E-DII: 1.05; 95% CI, 0.89-1.23). An inverse association was observed with DASH for ever smokers (HR, 0.75; 0.61-0.93), but not for nonsmokers (HR, 1.05; 0.83-1.32). Conclusions: The DASH diet showed an inverse association with pancreatic cancer among ever smokers, but does not show a protective association overall. Impact: Modifiable measures are needed to reduce pancreatic cancer burden in these high-risk populations; our study adds to the discussion of the benefit of dietary changes. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Salicylic acid and risk of colorectal cancer: a two sample Mendelian randomization study

Author

Nounu, Aayah, primary, Richmond, Rebecca C, additional, Stewart, Isobel D, additional, Surendran, Praveen, additional, Wareham, Nicholas J., additional, Butterworth, Adam, additional, Weinstein, Stephanie J, additional, Albanes, Demetrius, additional, Baron, John A, additional, Hopper, John L, additional, Figueiredo, Jane C, additional, Newcomb, Polly A, additional, Lindor, Noralane M, additional, Casey, Graham, additional, Platz, Elizabeth A, additional, Marchand, Loïc Le, additional, Ulrich, Cornelia M, additional, Li, Christopher I, additional, van Duijnhoven, Fränzel JB, additional, Gsur, Andrea, additional, Campbell, Peter T, additional, Moreno, Víctor, additional, Vodicka, Pavel, additional, Vodickova, Ludmila, additional, Amitay, Efrat, additional, Alwers, Elizabeth, additional, Chang-Claude, Jenny, additional, Sakoda, Lori C, additional, Slattery, Martha L, additional, Schoen, Robert E, additional, Gunter, Marc J, additional, Castellví-Bel, Sergi, additional, Kim, Hyeong Rok, additional, Kweon, Sun-Seog, additional, Chan, Andrew T, additional, Li, Li, additional, Zheng, Wei, additional, Bishop, D Timothy, additional, Buchanan, Daniel D, additional, Giles, Graham G, additional, Gruber, Stephen B, additional, Rennert, Gad, additional, Stadler, Zsofia K, additional, Harrison, Tabitha A, additional, Lin, Yi, additional, Keku, Temitope O, additional, Woods, Michael O, additional, Schafmayer, Clemens, additional, Van Guelpen, Bethany, additional, Gallinger, Steven, additional, Hampel, Heather, additional, Berndt, Sonja I, additional, Pharoah, Paul D P, additional, Lindblom, Annika, additional, Wolk, Alicja, additional, Wu, Anna H, additional, White, Emily, additional, Peters, Ulrike, additional, Drew, David A, additional, Scherer, Dominique, additional, Bermejo, Justo Lorenzo, additional, Brenner, Hermann, additional, Hoffmeister, Michael, additional, Williams, Ann C, additional, and Relton, Caroline L, additional

Published
2021
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38. Additional file 1 of Urinary phthalate exposures and risk of breast cancer: the Multiethnic Cohort study

Author

Wu, Anna H., Franke, Adrian A., Wilkens, Lynne R., Chiuchen Tseng, Conroy, Shannon M., Yuqing Li, Polfus, Linda M., De Rouen, Mindy, Caberto, Christian, Haiman, Christopher, Stram, Daniel O., Marchand, Loïc Le, and Cheng, Iona

Abstract

Additional file 1: Supplement Table 1. Molecular weight of phthalate metabolites and phthalic acid and samples with lower limit of detection (LLOD), and geometric mean (95%CI) of phthalate metabolites and summary variables of phthalates (μg/g creatinine) by study area and by race/ethnicity. Supplementary Table 2. Pairwise Spearman’s correlations between individual phthalate biomarkers and summation variables among controls. Supplementary Table 3. Associations of risk (OR and 95% CI) a of hormone receptor positive (HR+) and HR negative (HR-) invasive breast cancers with summary phthalate exposures by race/ethnicity. Supplemental Table 4. Distribution of covariates by tertiles of total phthalate exposure (∑LMHMPA).

Published
2021
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39. Additional file 1 of Utility of self-rated adherence for monitoring dietary and physical activity compliance and assessment of participant feedback of the Healthy Diet and Lifestyle Study pilot

Author

O’Reilly, Holly, Panizza, Chloe E., Unhee Lim, Yonemori, Kim M., Wilkens, Lynne R., Shvetsov, Yurii B., Harvie, Michelle N., Shepherd, John, Fengqing Maggie Zhu, Marchand, Loïc Le, Boushey, Carol J., and Cassel, Kevin D.

Abstract

Additional file 1. CONSORT 2010 checklist of information to include when reporting a pilot or feasibility trial*.

Published
2021
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40. No Difference in Penetrance between Truncating and Missense/Aberrant Splicing Pathogenic Variants in MLH1 and MSH2: A Prospective Lynch Syndrome Database Study

Author

Dominguez-Valentin, Mev, primary, Plazzer, John-Paul, additional, Sampson, Julian R., additional, Engel, Christoph, additional, Aretz, Stefan, additional, Jenkins, Mark A., additional, Sunde, Lone, additional, Bernstein, Inge, additional, Capella, Gabriel, additional, Balaguer, Francesc, additional, Macrae, Finlay, additional, Winship, Ingrid M., additional, Thomas, Huw, additional, Evans, Dafydd Gareth, additional, Burn, John, additional, Greenblatt, Marc, additional, de Vos tot Nederveen Cappel, Wouter H., additional, Sijmons, Rolf H., additional, Nielsen, Maartje, additional, Bertario, Lucio, additional, Bonanni, Bernardo, additional, Tibiletti, Maria Grazia, additional, Cavestro, Giulia Martina, additional, Lindblom, Annika, additional, Valle, Adriana Della, additional, Lopez-Kostner, Francisco, additional, Alvarez, Karin, additional, Gluck, Nathan, additional, Katz, Lior, additional, Heinimann, Karl, additional, Vaccaro, Carlos A., additional, Nakken, Sigve, additional, Hovig, Eivind, additional, Green, Kate, additional, Lalloo, Fiona, additional, Hill, James, additional, Vasen, Hans F. A., additional, Perne, Claudia, additional, Büttner, Reinhard, additional, Görgens, Heike, additional, Holinski-Feder, Elke, additional, Morak, Monika, additional, Holzapfel, Stefanie, additional, Hüneburg, Robert, additional, von Knebel Doeberitz, Magnus, additional, Loeffler, Markus, additional, Rahner, Nils, additional, Weitz, Jürgen, additional, Steinke-Lange, Verena, additional, Schmiegel, Wolff, additional, Vangala, Deepak, additional, Crosbie, Emma J., additional, Pineda, Marta, additional, Navarro, Matilde, additional, Brunet, Joan, additional, Moreira, Leticia, additional, Sánchez, Ariadna, additional, Serra-Burriel, Miquel, additional, Mints, Miriam, additional, Kariv, Revital, additional, Rosner, Guy, additional, Piñero, Tamara Alejandra, additional, Pavicic, Walter Hernán, additional, Kalfayan, Pablo, additional, Broeke, Sanne W. ten, additional, Mecklin, Jukka-Pekka, additional, Pylvänäinen, Kirsi, additional, Renkonen-Sinisalo, Laura, additional, Lepistö, Anna, additional, Peltomäki, Päivi, additional, Hopper, John L., additional, Win, Aung Ko, additional, Buchanan, Daniel D., additional, Lindor, Noralane M., additional, Gallinger, Steven, additional, Marchand, Loïc Le, additional, Newcomb, Polly A., additional, Figueiredo, Jane C., additional, Thibodeau, Stephen N., additional, Therkildsen, Christina, additional, Hansen, Thomas V. O., additional, Lindberg, Lars, additional, Rødland, Einar Andreas, additional, Neffa, Florencia, additional, Esperon, Patricia, additional, Tjandra, Douglas, additional, Möslein, Gabriela, additional, Seppälä, Toni T., additional, and Møller, Pål, additional

Published
2021
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41. Food Intakes Mediate Ethnic Differences in the Gut Microbiome

Author

Borrello, Kirra, primary, Park, Song-Yi, additional, Lim, Unhee, additional, Maskarinec, Gertraud, additional, Boushey, Carol, additional, Wilkens, Lynne, additional, Randolph, Timothy, additional, Marchand, Loïc Le, additional, Hullar, Meredith, additional, and Lampe, Johanna, additional

Published
2021
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42. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Khoei, Nazlisadat Seyed, Jenab, Mazda, Murphy, Neil, Banbury, Barbara L., Carreras Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno de Mesquita, H. Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Boutron-Ruault, Marie-Christine, Severi, Gianluca, Carbonnel, Franck, Katzke, Verena, Boeing, Heiner, Bergmann, Manuela M., Trichopoulou, Antonia, Karakatsani, Anna, Martimianaki, Georgia, Palli, Domenico, Tagliabue, Giovanna, Panico, Salvatore, Tumino, Rosario, Sacerdote, Carlotta, Skeie, Guri, Merino, Susana, Bonet Bonet, Catalina, Rodríguez Barranco, Miguel, Gil, Leire, Chirlaque, María Dolores, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Pérez Cornago, Aurora, Aune, Dagfinn, Tsilidis, Konstantinos K., Albanes, Demetrius, Baron, John A., Berndt, Sonja I., Bézieau, Stéphane, Brenner, Hermann, Campbell, Peter T., Casey, Graham, Chan, Andrew T., Chang Claude, Jenny, Chanock, Stephen J., Cotterchio, Michelle, Gallinger, Steven, Gruber, Stephen B., Haile, Robert W., Hampe, Jochen, Hoffmeister, Michael, Hopper, John L., Hsu, Li, Huyghe, Jeroen R., Jenkins, Mark A., Joshi, Amit D., Kampman, Ellen, Larsson, Susanna C., Marchand, Loïc Le, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane M., Martín Sánchez, Vicente, Moreno Aguado, Víctor, Newcomb, Polly A., Offit, Kenneth, Ogino, Shuji, Parfrey, Patrick S., Pharoah, Paul D. P., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Slattery, Martha L., Thibodeau, Stephen N., Ulrich, Cornelia M., van Duijnhoven, Franzel J. B., Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Zhang, Xuehong, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Wagner, Karl-Heinz, Freisling, Heinz, Apollo - University of Cambridge Repository, and Pharoah, Paul [0000-0001-8494-732X]

Subjects
Adult, Male, Nutrition and Disease, Mendelian randomization analysis, lcsh:Medicine, Polymorphism, Single Nucleotide, Antioxidants, Càncer colorectal, Risk Factors, Voeding en Ziekte, Humans, Prospective Studies, VLAG, Cancer, Aged, lcsh:R, Bilirubin, Middle Aged, Colorectal cancer, Europe, Case-Control Studies, Anti-oxidants, Female, Colorectal Neoplasms, Research Article
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, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (Pheterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.

Published
2020
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43. The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action

Author

Chan, Andrew T, Drew, David A, Nguyen, Long H, Joshi, Amit D, Ma, Wenjie, Guo, Chuan-Guo, Lo, Chun-Han, Mehta, Raaj S, Kwon, Sohee, Sikavi, Daniel R, Magicheva-Gupta, Marina V, Fatehi, Zahra S, Flynn, Jacqueline J, Leonardo, Brianna M, Albert, Christine M, Andreotti, Gabriella, Beane-Freeman, Laura E, Balasubramanian, Bijal A, Brownstein, John S, Bruinsma, Fiona, Cowan, Annie N, Deka, Anusila, Ernst, Michael E, Figueiredo, Jane C, Franks, Paul W, Gardner, Christopher D, Ghobrial, Irene M, Haiman, Christopher A, Hall, Janet E, Deming-Halverson, Sandra L, Kirpach, Brenda, Lacey, James V, Marchand, Loïc Le, Marinac, Catherine R, Martinez, Maria Elena, Milne, Roger L, Murray, Anne M, Nash, Denis, Palmer, Julie R, Patel, Alpa V, Rosenberg, Lynn, Sandler, Dale P, Sharma, Shreela V, Schurman, Shepherd H, Wilkens, Lynne R, Chavarro, Jorge E, Eliassen, A Heather, Hart, Jaime E, Kang, Jae Hee, Koenen, Karestan C, Kubzansky, Laura D, Mucci, Lorelei A, Ourselin, Sebastien, Rich-Edwards, Janet W, Song, Mingyang, Stampfer, Meir J, Steves, Claire J, Willett, Walter C, Wolf, Jonathan, Spector, Tim, and COPE Consortium

Subjects
Epidemiology, COPE Consortium, Medical and Health Sciences, Betacoronavirus, Models, Clinical Research, Humans, Viral, Aetiology, Pandemics, Nutrition, Cancer, SARS-CoV-2, Data Collection, Prevention, COVID-19, Pneumonia, Biological, United States, United Kingdom, Infectious Diseases, Good Health and Well Being, Pneumonia & Influenza, Public Health, Smartphone, Coronavirus Infections, Software, 2.4 Surveillance and distribution
Abstract

The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health.

Published
2020

44. Salicylic acid and risk of colorectal cancer: A two-sample mendelian randomization study

Author

Nounu, Aayah, Richmond, Rebecca C., Stewart, Isobel D., Surendran, Praveen, Wareham, Nicholas J., Butterworth, Adam, Weinstein, Stephanie J., Albanes, Demetrius, Baron, John A., Hopper, John L., Figueiredo, Jane C., Newcomb, Polly A., Lindor, Noralane M., Casey, Graham, Platz, Elizabeth A., Marchand, Loïc Le, Ulrich, Cornelia M., Li, Christopher I., van Dujinhoven, Fränzel J. B., Gsur, Andrea, Campbell, Peter T., Moreno, Víctor, Vodicka, Pavel, Vodickova, Ludmila, Amitay, Efrat, Alwers, Elizabeth, Chang-Claude, Jenny, Sakoda, Lori C., Slattery, Martha L., Schoen, Robert E., Gunter, Marc J., Castellví-Bel, Sergi, Kim, Hyeong-Rok, Kweon, Sun-Seog, Chan, Andrew T., Li, Li, Zheng, Wei, Bishop, D. Timothy, Buchanan, Daniel D., Giles, Graham G., Gruber, Stephen B., Rennert, Gad, Stadler, Zsofia K., Harrison, Tabitha A., Lin, Yi, Keku, Temitope O., Woods, Michael O., Schafmayer, Clemens, van Guelpen, Bethany, Gallinger, Steven, Hampel, Heather, Berndt, Sonja I., Pharoah, Paul D. P., Lindblom, Annika, Wolk, Alicja, Wu, Anna H., White, Emily, Peters, Ulrike, Drew, David A., Scherer, Dominique, Bermejo, Justo Lorenzo, Brenner, Hermann, Hoffmeister, Michael, Williams, Ann C., Relton, Caroline L., Nounu, Aayah, Richmond, Rebecca C., Stewart, Isobel D., Surendran, Praveen, Wareham, Nicholas J., Butterworth, Adam, Weinstein, Stephanie J., Albanes, Demetrius, Baron, John A., Hopper, John L., Figueiredo, Jane C., Newcomb, Polly A., Lindor, Noralane M., Casey, Graham, Platz, Elizabeth A., Marchand, Loïc Le, Ulrich, Cornelia M., Li, Christopher I., van Dujinhoven, Fränzel J. B., Gsur, Andrea, Campbell, Peter T., Moreno, Víctor, Vodicka, Pavel, Vodickova, Ludmila, Amitay, Efrat, Alwers, Elizabeth, Chang-Claude, Jenny, Sakoda, Lori C., Slattery, Martha L., Schoen, Robert E., Gunter, Marc J., Castellví-Bel, Sergi, Kim, Hyeong-Rok, Kweon, Sun-Seog, Chan, Andrew T., Li, Li, Zheng, Wei, Bishop, D. Timothy, Buchanan, Daniel D., Giles, Graham G., Gruber, Stephen B., Rennert, Gad, Stadler, Zsofia K., Harrison, Tabitha A., Lin, Yi, Keku, Temitope O., Woods, Michael O., Schafmayer, Clemens, van Guelpen, Bethany, Gallinger, Steven, Hampel, Heather, Berndt, Sonja I., Pharoah, Paul D. P., Lindblom, Annika, Wolk, Alicja, Wu, Anna H., White, Emily, Peters, Ulrike, Drew, David A., Scherer, Dominique, Bermejo, Justo Lorenzo, Brenner, Hermann, Hoffmeister, Michael, Williams, Ann C., and Relton, Caroline L.

Abstract

Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes’ coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR:1.03, 95% CI: 0.84–1.27 and OR: 1.08, 95% CI:0.86–1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.

Published
2021
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46. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer

Author

Archambault, Alexi N, primary, Lin, Yi, additional, Jeon, Jihyoun, additional, Harrison, Tabitha A, additional, Bishop, D Timothy, additional, Brenner, Hermann, additional, Casey, Graham, additional, Chan, Andrew T, additional, Chang-Claude, Jenny, additional, Figueiredo, Jane C, additional, Gallinger, Steven, additional, Gruber, Stephen B, additional, Gunter, Marc J, additional, Hoffmeister, Michael, additional, Jenkins, Mark A, additional, Keku, Temitope O, additional, Marchand, Loïc Le, additional, Li, Li, additional, Moreno, Victor, additional, Newcomb, Polly A, additional, Pai, Rish, additional, Parfrey, Patrick S, additional, Rennert, Gad, additional, Sakoda, Lori C, additional, Sandler, Robert S, additional, Slattery, Martha L, additional, Song, Mingyang, additional, Win, Aung Ko, additional, Woods, Michael O, additional, Murphy, Neil, additional, Campbell, Peter T, additional, Su, Yu-Ru, additional, Zeleniuch-Jacquotte, Anne, additional, Liang, Peter S, additional, Du, Mengmeng, additional, Hsu, Li, additional, Peters, Ulrike, additional, and Hayes, Richard B, additional

Published
2021
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47. Genome-wide Association Study of Pancreatic Fat: The Multiethnic Cohort Adiposity Phenotype Study

Author

Streicher, Samantha A, primary, Lim, Unhee, additional, Park, S. Lani, additional, Li, Yuqing, additional, Sheng, Xin, additional, Hom, Victor, additional, Xia, Lucy, additional, Pooler, Loreall, additional, Shepherd, John, additional, Loo, Lenora WM, additional, Darst, Burcu F, additional, Highland, Heather M, additional, Polfus, Linda M, additional, Bogumil, David, additional, Ernst, Thomas, additional, Buchthal, Steven, additional, Franke, Adrian A, additional, Setiawan, Veronica Wendy, additional, Tiirikainen, Maarit, additional, Wilkens, Lynne R, additional, Haiman, Christopher A, additional, Stram, Daniel O, additional, Cheng, Iona, additional, and Marchand, Loïc Le, additional

Published
2021
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48. Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer

Author

Jenkins, Mark A, primary, Buchanan, Daniel D, additional, Lai, John, additional, Makalic, Enes, additional, Dite, Gillian S, additional, Win, Aung K, additional, Clendenning, Mark, additional, Winship, Ingrid M, additional, Hayes, Richard B, additional, Huyghe, Jeroen R, additional, Peters, Ulrike, additional, Gallinger, Steven, additional, Marchand, Loïc Le, additional, Figueiredo, Jane C, additional, Pai, Rish K, additional, Newcomb, Polly A, additional, Church, James M, additional, Casey, Graham, additional, and Hopper, John L, additional

Published
2021
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