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1. Mobile Phone Use and its Association With Sitting Time and Meeting Physical Activity Recommendations in a Mexican American Cohort

Author

Chrisman, Matthew, Chow, Wong-Ho, Daniel, Carrie R, Wu, Xifeng, and Zhao, Hua

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe benefits of physical activity (PA) are well-documented. Mobile phones influence PA by promoting screen-based sedentary time, providing prompts or reminders to be active, aiding in tracking and monitoring PA, or providing entertainment during PA. It is not known how mobile phone use is associated with PA and sitting time in Mexican Americans, and how mobile phone users may differ from nonusers. ObjectiveTo determine the associations between mobile phone use, PA, and sitting time and how these behaviors differ from mobile phone nonusers in a sample of 2982 Mexican-American adults from the Mano a Mano cohort. MethodsDifferences in meeting PA recommendations and sitting time between mobile phone users and nonusers were examined using chi-square and analysis of variance tests. Logistic regression was used to examine associations between mobile phone use, PA, and sitting. ResultsMobile phone users were more likely to be obese by body mass index criteria (≥30 kg/m2), younger, born in the United States and lived there longer, more educated, and sit more hours per day but more likely to meet PA recommendations than nonusers. Males (odds ratio [OR] 1.42, 95% CI 1.16-1.74), use of text messaging (OR 1.26, 95% CI 1.03-1.56), and having a higher acculturation score (OR 1.27, 95% CI 1.07-1.52) were associated with higher odds of meeting PA recommendations. Sitting more hours per day was associated with being male, obese, born in the United States, a former alcohol drinker, and having at least a high school education. Among nonusers, being born in the United States was associated with higher odds of more sitting time, and being married was associated with higher odds of meeting PA recommendations. ConclusionsMobile phone interventions using text messages could be tailored to promote PA in less acculturated and female Mexican American mobile phone users.

Published
2016
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5. Personalized Risk Assessment in Never, Light, and Heavy Smokers in a prospective cohort in Taiwan.

Author

Wu, Xifeng, Wen, Chi Pang, Ye, Yuanqing, Tsai, MinKwang, Wen, Christopher, Roth, Jack A, Pu, Xia, Chow, Wong-Ho, Huff, Chad, Cunningham, Sonia, Huang, Maosheng, Wu, Shuanbei, Tsao, Chwen Keng, Gu, Jian, and Lippman, Scott M

Subjects
Humans, Lung Neoplasms, Bilirubin, C-Reactive Protein, alpha-Fetoproteins, Carcinoembryonic Antigen, Tomography, X-Ray Computed, Respiratory Function Tests, Multivariate Analysis, Area Under Curve, Discriminant Analysis, Proportional Hazards Models, Risk Assessment, Risk Factors, Cohort Studies, Prospective Studies, ROC Curve, Aged, Middle Aged, National Health Programs, Taiwan, Female, Male, Smokers, Tomography, X-Ray Computed
Abstract

The objective of this study was to develop markedly improved risk prediction models for lung cancer using a prospective cohort of 395,875 participants in Taiwan. Discriminatory accuracy was measured by generation of receiver operator curves and estimation of area under the curve (AUC). In multivariate Cox regression analysis, age, gender, smoking pack-years, family history of lung cancer, personal cancer history, BMI, lung function test, and serum biomarkers such as carcinoembryonic antigen (CEA), bilirubin, alpha fetoprotein (AFP), and c-reactive protein (CRP) were identified and included in an integrative risk prediction model. The AUC in overall population was 0.851 (95% CI = 0.840-0.862), with never smokers 0.806 (95% CI = 0.790-0.819), light smokers 0.847 (95% CI = 0.824-0.871), and heavy smokers 0.732 (95% CI = 0.708-0.752). By integrating risk factors such as family history of lung cancer, CEA and AFP for light smokers, and lung function test (Maximum Mid-Expiratory Flow, MMEF25-75%), AFP and CEA for never smokers, light and never smokers with cancer risks as high as those within heavy smokers could be identified. The risk model for heavy smokers can allow us to stratify heavy smokers into subgroups with distinct risks, which, if applied to low-dose computed tomography (LDCT) screening, may greatly reduce false positives.

Published
2016

7. Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus

Author

Xie, Shao-Hua, Fang, Rui, Huang, Mingtao, Dai, Juncheng, Thrift, Aaron P., Anderson, Lesley A., Chow, Wong-Ho, Bernstein, Leslie, Gammon, Marilie D., Risch, Harvey A., Shaheen, Nicholas J., Reid, Brian J., Wu, Anna H., Iyer, Prasad G., Liu, Geoffrey, Corley, Douglas A., Whiteman, David C., Caldas, Carlos, Pharoah, Paul D., Hardie, Laura J., Fitzgerald, Rebecca C., Shen, Hongbing, Vaughan, Thomas L., and Lagergren, Jesper

Published
2020
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10. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Tobacco, Clinical Research, Urologic Diseases, Lung, Genetics, Rare Diseases, Lung Cancer, Human Genome, Hematology, Cancer, Tobacco Smoke and Health, Prevention, Lymphoma, Adult, Aged, Asian People, Bone Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lung Neoplasms, Lymphoma, Large B-Cell, Diffuse, Male, Middle Aged, Neoplasms, Osteosarcoma, Polymorphism, Single Nucleotide, Smoking, Testicular Neoplasms, Tissue Array Analysis, Urinary Bladder Neoplasms, White People, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

11. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Humans, Neoplasms, Osteosarcoma, Bone Neoplasms, Testicular Neoplasms, Lung Neoplasms, Kidney Neoplasms, Genetic Predisposition to Disease, Tissue Array Analysis, Smoking, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Asian Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Urinary Bladder Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Oncology And Carcinogenesis, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

12. No Association Between Vitamin D Status and Risk of Barrett's Esophagus or Esophageal Adenocarcinoma: A Mendelian Randomization Study

Author

Dong, Jing, Gharahkhani, Puya, Chow, Wong-Ho, Gammon, Marilie D., Liu, Geoffrey, Caldas, Carlos, Wu, Anna H., Ye, Weimin, Onstad, Lynn, Anderson, Lesley A., Bernstein, Leslie, Pharoah, Paul D., Risch, Harvey A., Corley, Douglas A., Fitzgerald, Rebecca C., Iyer, Prasad G., Reid, Brian J., Lagergren, Jesper, Shaheen, Nicholas J., Vaughan, Thomas L., MacGregor, Stuart, Love, Sharon, Palles, Claire, Tomlinson, Ian, Gockel, Ines, May, Andrea, Gerges, Christian, Anders, Mario, Böhmer, Anne C., Becker, Jessica, Kreuser, Nicole, Thieme, Rene, Noder, Tania, Venerito, Marino, Veits, Lothar, Schmidt, Thomas, Schmidt, Claudia, Izbicki, Jakob R., Hölscher, Arnulf H., Lang, Hauke, Lorenz, Dietmar, Schumacher, Brigitte, Mayershofer, Rupert, Vashist, Yogesh, Ott, Katja, Vieth, Michael, Weismüller, Josef, Nöthen, Markus M., Moebus, Susanne, Knapp, Michael, Peters, Wilbert H.M., Neuhaus, Horst, Rösch, Thomas, Ell, Christian, Jankowski, Janusz, Schumacher, Johannes, Neale, Rachel E., Whiteman, David C., and Thrift, Aaron P.

Published
2019
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13. The Ability of Bilirubin in Identifying Smokers with Higher Risk of Lung Cancer: A Large Cohort Study in Conjunction with Global Metabolomic Profiling

Author

Wen, Chi-Pang, Zhang, Fanmao, Liang, Dong, Wen, Christopher, Gu, Jian, Skinner, Heath, Chow, Wong-Ho, Ye, Yuanqing, Pu, Xia, Hildebrandt, Michelle AT, Huang, Maosheng, Chen, Chien-Hua, Hsiung, Chao Agnes, Tsai, Min Kuang, Tsao, Chwen Keng, Lippman, Scott M, and Wu, Xifeng

Subjects
Tobacco, Tobacco Smoke and Health, Lung, Lung Cancer, Clinical Research, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Good Health and Well Being, Adult, Aged, Bilirubin, Biomarkers, Tumor, Case-Control Studies, Cohort Studies, Female, Humans, Lung Neoplasms, Male, Metabolomics, Middle Aged, Risk Factors, Smoking, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

PurposeWe aimed to identify serum metabolites as potential valuable biomarkers for lung cancer and to improve risk stratification in smokers.Experimental designWe performed global metabolomic profiling followed by targeted validation of individual metabolites in a case-control design of 386 lung cancer cases and 193 matched controls. We then validated bilirubin, which consistently showed significant differential levels in cases and controls, as a risk marker for lung cancer incidence and mortality in a large prospective cohort composed of 425,660 participants.ResultsThrough global metabolomic profiling and following targeted validation, bilirubin levels consistently showed a statistically significant difference among healthy controls and lung cancer cases. In the prospective cohort, the inverse association was only seen in male smokers, regardless of smoking pack-years and intensity. Compared with male smokers in the highest bilirubin group (>1 mg/dL), those in the lowest bilirubin group (

Published
2015

14. Sex specific associations in genome wide association analysis of renal cell carcinoma

Author

Laskar, Ruhina S., Muller, David C., Li, Peng, Machiela, Mitchell J., Ye, Yuanqing, Gaborieau, Valerie, Foll, Matthieu, Hofmann, Jonathan N., Colli, Leandro, Sampson, Joshua N., Wang, Zhaoming, Bacq-Daian, Delphine, Boland, Anne, Abedi-Ardekani, Behnoush, Durand, Geoffroy, Le Calvez-Kelm, Florence, Robinot, Nivonirina, Blanche, Helene, Prokhortchouk, Egor, Skryabin, Konstantin G., Burdett, Laurie, Yeager, Meredith, Radojevic-Skodric, Sanja, Savic, Slavisa, Foretova, Lenka, Holcatova, Ivana, Janout, Vladimir, Mates, Dana, Rascu, Stefan, Mukeria, Anush, Zaridze, David, Bencko, Vladimir, Cybulski, Cezary, Fabianova, Eleonora, Jinga, Viorel, Lissowska, Jolanta, Lubinski, Jan, Navratilova, Marie, Rudnai, Peter, Świątkowska, Beata, Benhamou, Simone, Cancel-Tassin, Geraldine, Cussenot, Olivier, Trichopoulou, Antonia, Riboli, Elio, Overvad, Kim, Panico, Salvatore, Ljungberg, Borje, Sitaram, Raviprakash T., Giles, Graham G., Milne, Roger L, Severi, Gianluca, Bruinsma, Fiona, Fletcher, Tony, Koppova, Kvetoslava, Larsson, Susanna C., Wolk, Alicja, Banks, Rosamonde E., Selby, Peter J., Easton, Douglas F., Pharoah, Paul, Andreotti, Gabriella, Beane Freeman, Laura E, Koutros, Stella, Albanes, Demetrius, Männistö, Satu, Weinstein, Stephanie, Clark, Peter E., Edwards, Todd L., Lipworth, Loren, Carol, Hallie, Freedman, Matthew L., Pomerantz, Mark M., Cho, Eunyoung, Kraft, Peter, Preston, Mark A., Wilson, Kathryn M., Michael Gaziano, J., Sesso, Howard D., Black, Amanda, Freedman, Neal D., Huang, Wen-Yi, Anema, John G., Kahnoski, Richard J., Lane, Brian R., Noyes, Sabrina L., Petillo, David, Teh, Bin Tean, Peters, Ulrike, White, Emily, Anderson, Garnet L., Johnson, Lisa, Luo, Juhua, Chow, Wong-Ho, Moore, Lee E., Choueiri, Toni K., Wood, Christopher, Johansson, Mattias, McKay, James D., Brown, Kevin M., Rothman, Nathaniel, Lathrop, Mark G., Deleuze, Jean-Francois, Wu, Xifeng, Brennan, Paul, Chanock, Stephen J., Purdue, Mark P., and Scelo, Ghislaine

Published
2019
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19. Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus

Author

Dong, Jing, Levine, David M., Buas, Matthew F., Zhang, Rui, Onstad, Lynn, Fitzgerald, Rebecca C., Corley, Douglas A., Shaheen, Nicholas J., Lagergren, Jesper, Hardie, Laura J., Reid, Brian J., Iyer, Prasad G., Risch, Harvey A., Caldas, Carlos, Caldas, Isabel, Pharoah, Paul D., Liu, Geoffrey, Gammon, Marilie D., Chow, Wong-Ho, Bernstein, Leslie, Bird, Nigel C., Ye, Weimin, Wu, Anna H., Anderson, Lesley A., MacGregor, Stuart, Whiteman, David C., Vaughan, Thomas L., and Thrift, Aaron P.

Published
2018
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20. Determining Risk of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants

Author

Dong, Jing, Buas, Matthew F., Gharahkhani, Puya, Kendall, Bradley J., Onstad, Lynn, Zhao, Shanshan, Anderson, Lesley A., Wu, Anna H., Ye, Weimin, Bird, Nigel C., Bernstein, Leslie, Chow, Wong-Ho, Gammon, Marilie D., Liu, Geoffrey, Caldas, Carlos, Pharoah, Paul D., Risch, Harvey A., Iyer, Prasad G., Reid, Brian J., Hardie, Laura J., Lagergren, Jesper, Shaheen, Nicholas J., Corley, Douglas A., Fitzgerald, Rebecca C., Whiteman, David C., Vaughan, Thomas L., and Thrift, Aaron P.

Published
2018
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21. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer.

Author

Antonenkova, Natalia, Armasu, Sebastian, Baglietto, Laura, Bandera, Elisa, Beckmann, Matthias, Birrer, Michael, Bloom, Greg, Bogdanova, Natalia, Brenton, James, Brinton, Louise, Brooks-Wilson, Angela, Brown, Robert, Butzow, Ralf, Campbell, Ian, Carney, Michael, Carvalho, Renato, Chang-Claude, Jenny, Chen, Y, Chen, Zhihua, Chow, Wong-Ho, Cicek, Mine, Coetzee, Gerhard, Cook, Linda, Cramer, Daniel, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Edwards, Robert, Ekici, Arif, Fasching, Peter, Fenstermacher, David, Flanagan, James, Gao, Yu-Tang, Garcia-Closas, Montserrat, Gentry-Maharaj, Aleksandra, Giles, Graham, Gjyshi, Anxhela, Gore, Martin, Gronwald, Jacek, Guo, Qi, Halle, Mari, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hillemanns, Peter, Hoatlin, Maureen, Høgdall, Estrid, Høgdall, Claus, Hosono, Satoyo, Jakubowska, Anna, Jensen, Allan, Kalli, Kimberly, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu, Lee, Nathan, Lee, Janet, Leminen, Arto, Lim, Boon, Lissowska, Jolanta, Lubiński, Jan, Lundvall, Lene, Lurie, Galina, Massuger, Leon, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten, Nakanishi, Toru, Narod, Steven, Ness, Roberta, Nevanlinna, Heli, Nickels, Stefan, Noushmehr, Houtan, Odunsi, Kunle, Olson, Sara, Orlow, Irene, Paul, James, Pejovic, Tanja, Pelttari, Liisa, Permuth-Wey, Jenny, Pike, Malcolm, Poole, Elizabeth, Qu, Xiaotao, Risch, Harvey, Rodriguez-Rodriguez, Lorna, Rossing, Mary, Rudolph, Anja, Runnebaum, Ingo, Rzepecka, Iwona, and Salvesen, Helga

Subjects
Case-Control Studies, Cooperative Behavior, Cystadenocarcinoma, Serous, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Neoplasm Invasiveness, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk Factors
Abstract

Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer.

Published
2013

22. GWAS meta-analysis and replication identifies three new susceptibility loci for ovarian cancer.

Author

Pharoah, Paul DP, Tsai, Ya-Yu, Ramus, Susan J, Phelan, Catherine M, Goode, Ellen L, Lawrenson, Kate, Buckley, Melissa, Fridley, Brooke L, Tyrer, Jonathan P, Shen, Howard, Weber, Rachel, Karevan, Rod, Larson, Melissa C, Song, Honglin, Tessier, Daniel C, Bacot, François, Vincent, Daniel, Cunningham, Julie M, Dennis, Joe, Dicks, Ed, Australian Cancer Study, Australian Ovarian Cancer Study Group, Aben, Katja K, Anton-Culver, Hoda, Antonenkova, Natalia, Armasu, Sebastian M, Baglietto, Laura, Bandera, Elisa V, Beckmann, Matthias W, Birrer, Michael J, Bloom, Greg, Bogdanova, Natalia, Brenton, James D, Brinton, Louise A, Brooks-Wilson, Angela, Brown, Robert, Butzow, Ralf, Campbell, Ian, Carney, Michael E, Carvalho, Renato S, Chang-Claude, Jenny, Chen, Y Anne, Chen, Zhihua, Chow, Wong-Ho, Cicek, Mine S, Coetzee, Gerhard, Cook, Linda S, Cramer, Daniel W, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana, Edwards, Robert, Ekici, Arif B, Fasching, Peter A, Fenstermacher, David, Flanagan, James, Gao, Yu-Tang, Garcia-Closas, Montserrat, Gentry-Maharaj, Aleksandra, Giles, Graham, Gjyshi, Anxhela, Gore, Martin, Gronwald, Jacek, Guo, Qi, Halle, Mari K, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hillemanns, Peter, Hoatlin, Maureen, Høgdall, Estrid, Høgdall, Claus K, Hosono, Satoyo, Jakubowska, Anna, Jensen, Allan, Kalli, Kimberly R, Karlan, Beth Y, Kelemen, Linda E, Kiemeney, Lambertus A, Kjaer, Susanne Krüger, Konecny, Gottfried E, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Nathan, Lee, Janet, Leminen, Arto, Lim, Boon Kiong, Lissowska, Jolanta, Lubiński, Jan, Lundvall, Lene, Lurie, Galina, and Massuger, Leon FAG

Subjects
Australian Cancer Study, Australian Ovarian Cancer Study Group, Humans, Cystadenocarcinoma, Serous, Ovarian Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, Risk Factors, Case-Control Studies, Cooperative Behavior, Genotype, Polymorphism, Single Nucleotide, Female, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Gene-Environment Interaction, Cancer, Human Genome, Prevention, Genetics, Rare Diseases, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) have identified four susceptibility loci for epithelial ovarian cancer (EOC), with another two suggestive loci reaching near genome-wide significance. We pooled data from a GWAS conducted in North America with another GWAS from the UK. We selected the top 24,551 SNPs for inclusion on the iCOGS custom genotyping array. We performed follow-up genotyping in 18,174 individuals with EOC (cases) and 26,134 controls from 43 studies from the Ovarian Cancer Association Consortium. We validated the two loci at 3q25 and 17q21 that were previously found to have associations close to genome-wide significance and identified three loci newly associated with risk: two loci associated with all EOC subtypes at 8q21 (rs11782652, P = 5.5 × 10(-9)) and 10p12 (rs1243180, P = 1.8 × 10(-8)) and another locus specific to the serous subtype at 17q12 (rs757210, P = 8.1 × 10(-10)). An integrated molecular analysis of genes and regulatory regions at these loci provided evidence for functional mechanisms underlying susceptibility and implicated CHMP4C in the pathogenesis of ovarian cancer.

Published
2013

23. Xenobiotic Metabolizing Gene Variants and Renal Cell Cancer: A Multicenter Study

Author

Heck, Julia E, Moore, Lee E, Lee, Yuan-Chin A, McKay, James D, Hung, Rayjean J, Karami, Sara, Gaborieau, Valérie, Szeszenia-Dabrowska, Neonila, Zaridze, David G, Mukeriya, Anush, Mates, Dana, Foretova, Lenka, Janout, Vladimir, Kollárová, Helena, Bencko, Vladimir, Rothman, Nathaniel, Brennan, Paul, Chow, Wong-Ho, and Boffetta, Paolo

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Prevention, Genetics, Cancer, Human Genome, Kidney Disease, renal cell cancer, epidemiology, NAT1, NAT2, CYR NQO1, mEH, COMT, CYP, NQO1, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundThe countries of Central and Eastern Europe have among the highest worldwide rates of renal cell cancer (RCC). Few studies have examined whether genetic variation in xenobiotic metabolic pathway genes may modify risk for this cancer.MethodsThe Central and Eastern Europe Renal Cell Cancer study was a hospital-based case-control study conducted between 1998 and 2003 across seven centers in Central and Eastern Europe. Detailed data were collected from 874 cases and 2053 controls on demographics, work history, and occupational exposure to chemical agents. Genes [cytochrome P-450 family, N-acetyltransferases,Nad(p)hquinone oxidoreductase I (NQO1), microsomal epoxide hydrolase (mEH), catechol-O-methyltransferase (COMT), uridine diphosphate-glucuronosyltransferase (UGT)] were selected for the present analysis based on their putative role in xenobiotic metabolism. Haplotypes were calculated using fastPhase. Odds ratios and 95% confidence intervals were estimated by unconditional logistic regression adjusted for country of residence, age, sex, smoking, alcohol intake, obesity, and hypertension.ResultsWe observed an increased risk of RCC with one SNP. After adjustment for multiple comparisons it did not remain significant. Neither NAT1 nor NAT2 slow acetylation was associated with disease.ConclusionWe observed no association between this pathway and renal cell cancer.

Published
2012

30. Supplementary Figure 3 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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31. Data from Fine Mapping of Chromosome 6q23-25 Region in Familial Lung Cancer Families Reveals RGS17 as a Likely Candidate Gene

Author

You, Ming, primary, Wang, Daolong, primary, Liu, Pengyuan, primary, Vikis, Haris, primary, James, Michael, primary, Lu, Yan, primary, Wang, Yian, primary, Wang, Min, primary, Chen, Qiong, primary, Jia, Dongmei, primary, Liu, Yan, primary, Wen, Weidong, primary, Yang, Ping, primary, Sun, Zhifu, primary, Pinney, Susan M., primary, Zheng, Wei, primary, Shu, Xiao-Ou, primary, Long, Jirong, primary, Gao, Yu-Tang, primary, Xiang, Yong-Bing, primary, Chow, Wong-Ho, primary, Rothman, Nat, primary, Petersen, Gloria M., primary, de Andrade, Mariza, primary, Wu, Yanhong, primary, Cunningham, Julie M., primary, Wiest, Jonathan S., primary, Fain, Pamela R., primary, Schwartz, Ann G., primary, Girard, Luc, primary, Gazdar, Adi, primary, Gaba, Colette, primary, Rothschild, Henry, primary, Mandal, Diptasri, primary, Coons, Teresa, primary, Lee, Juwon, primary, Kupert, Elena, primary, Seminara, Daniela, primary, Minna, John, primary, Bailey-Wilson, Joan E., primary, Amos, Christopher I., primary, and Anderson, Marshall W., primary

Published
2023
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32. Data from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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33. Supplementary Figure S1 from The Ability of Bilirubin in Identifying Smokers with Higher Risk of Lung Cancer: A Large Cohort Study in Conjunction with Global Metabolomic Profiling

Author

Wen, Chi-Pang, primary, Zhang, Fanmao, primary, Liang, Dong, primary, Wen, Christopher, primary, Gu, Jian, primary, Skinner, Heath, primary, Chow, Wong-Ho, primary, Ye, Yuanqing, primary, Pu, Xia, primary, Hildebrandt, Michelle A.T., primary, Huang, Maosheng, primary, Chen, Chien-Hua, primary, Hsiung, Chao Agnes, primary, Tsai, Min Kuang, primary, Tsao, Chwen Keng, primary, Lippman, Scott M., primary, and Wu, Xifeng, primary

Published
2023
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34. Supplementary Figure legends from A Newly Identified Susceptibility Locus near FOXP1 Modifies the Association of Gastroesophageal Reflux with Barrett's Esophagus

Author

Dai, James Y., primary, de Dieu Tapsoba, Jean, primary, Buas, Matthew F., primary, Onstad, Lynn E., primary, Levine, David M., primary, Risch, Harvey A., primary, Chow, Wong-Ho, primary, Bernstein, Leslie, primary, Ye, Weimin, primary, Lagergren, Jesper, primary, Bird, Nigel C., primary, Corley, Douglas A., primary, Shaheen, Nicholas J., primary, Wu, Anna H., primary, Reid, Brian J., primary, Hardie, Laura J., primary, Whiteman, David C., primary, and Vaughan, Thomas L., primary

Published
2023
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35. Supplementary Figure 2 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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36. Data from Can Lactase Persistence Genotype Be Used to Reassess the Relationship between Renal Cell Carcinoma and Milk Drinking? Potentials and Problems in the Application of Mendelian Randomization

Author

Timpson, Nicholas J., primary, Brennan, Paul, primary, Gaborieau, Valérie, primary, Moore, Lee, primary, Zaridze, David, primary, Matveev, Vsevolod, primary, Szeszenia-Dabrowska, Neonilia, primary, Lissowska, Jolanta, primary, Mates, Dana, primary, Bencko, Vladimir, primary, Foretova, Lenka, primary, Janout, Vladimir, primary, Chow, Wong-Ho, primary, Rothman, Nathaniel, primary, Boffetta, Paolo, primary, Harbord, Roger M., primary, and Davey Smith, George, primary

Published
2023
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37. Supplementary Table 1 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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38. Supplementary Table 1 from Can Lactase Persistence Genotype Be Used to Reassess the Relationship between Renal Cell Carcinoma and Milk Drinking? Potentials and Problems in the Application of Mendelian Randomization

Author

Timpson, Nicholas J., primary, Brennan, Paul, primary, Gaborieau, Valérie, primary, Moore, Lee, primary, Zaridze, David, primary, Matveev, Vsevolod, primary, Szeszenia-Dabrowska, Neonilia, primary, Lissowska, Jolanta, primary, Mates, Dana, primary, Bencko, Vladimir, primary, Foretova, Lenka, primary, Janout, Vladimir, primary, Chow, Wong-Ho, primary, Rothman, Nathaniel, primary, Boffetta, Paolo, primary, Harbord, Roger M., primary, and Davey Smith, George, primary

Published
2023
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39. Supplementary Table S6 from The Ability of Bilirubin in Identifying Smokers with Higher Risk of Lung Cancer: A Large Cohort Study in Conjunction with Global Metabolomic Profiling

Author

Wen, Chi-Pang, primary, Zhang, Fanmao, primary, Liang, Dong, primary, Wen, Christopher, primary, Gu, Jian, primary, Skinner, Heath, primary, Chow, Wong-Ho, primary, Ye, Yuanqing, primary, Pu, Xia, primary, Hildebrandt, Michelle A.T., primary, Huang, Maosheng, primary, Chen, Chien-Hua, primary, Hsiung, Chao Agnes, primary, Tsai, Min Kuang, primary, Tsao, Chwen Keng, primary, Lippman, Scott M., primary, and Wu, Xifeng, primary

Published
2023
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40. Translation on this Article from Fine Mapping of Chromosome 6q23-25 Region in Familial Lung Cancer Families Reveals RGS17 as a Likely Candidate Gene

Author

You, Ming, primary, Wang, Daolong, primary, Liu, Pengyuan, primary, Vikis, Haris, primary, James, Michael, primary, Lu, Yan, primary, Wang, Yian, primary, Wang, Min, primary, Chen, Qiong, primary, Jia, Dongmei, primary, Liu, Yan, primary, Wen, Weidong, primary, Yang, Ping, primary, Sun, Zhifu, primary, Pinney, Susan M., primary, Zheng, Wei, primary, Shu, Xiao-Ou, primary, Long, Jirong, primary, Gao, Yu-Tang, primary, Xiang, Yong-Bing, primary, Chow, Wong-Ho, primary, Rothman, Nat, primary, Petersen, Gloria M., primary, de Andrade, Mariza, primary, Wu, Yanhong, primary, Cunningham, Julie M., primary, Wiest, Jonathan S., primary, Fain, Pamela R., primary, Schwartz, Ann G., primary, Girard, Luc, primary, Gazdar, Adi, primary, Gaba, Colette, primary, Rothschild, Henry, primary, Mandal, Diptasri, primary, Coons, Teresa, primary, Lee, Juwon, primary, Kupert, Elena, primary, Seminara, Daniela, primary, Minna, John, primary, Bailey-Wilson, Joan E., primary, Amos, Christopher I., primary, and Anderson, Marshall W., primary

Published
2023
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41. Supplementary Methods and Figure Legend from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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42. Supplementary figure 1 from A Newly Identified Susceptibility Locus near FOXP1 Modifies the Association of Gastroesophageal Reflux with Barrett's Esophagus

Author

Dai, James Y., primary, de Dieu Tapsoba, Jean, primary, Buas, Matthew F., primary, Onstad, Lynn E., primary, Levine, David M., primary, Risch, Harvey A., primary, Chow, Wong-Ho, primary, Bernstein, Leslie, primary, Ye, Weimin, primary, Lagergren, Jesper, primary, Bird, Nigel C., primary, Corley, Douglas A., primary, Shaheen, Nicholas J., primary, Wu, Anna H., primary, Reid, Brian J., primary, Hardie, Laura J., primary, Whiteman, David C., primary, and Vaughan, Thomas L., primary

Published
2023
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43. Data from Pleiotropic Analysis of Cancer Risk Loci on Esophageal Adenocarcinoma Risk

Author

Lee, Eunjung, primary, Stram, Daniel O., primary, Ek, Weronica E., primary, Onstad, Lynn E., primary, MacGregor, Stuart, primary, Gharahkhani, Puya, primary, Ye, Weimin, primary, Lagergren, Jesper, primary, Shaheen, Nicholas J., primary, Murray, Liam J., primary, Hardie, Laura J., primary, Gammon, Marilie D., primary, Chow, Wong-Ho, primary, Risch, Harvey A., primary, Corley, Douglas A., primary, Levine, David M., primary, Whiteman, David C., primary, Bernstein, Leslie, primary, Bird, Nigel C., primary, Vaughan, Thomas L., primary, and Wu, Anna H., primary

Published
2023
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45. Supplementary Figure 4 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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46. Supplementary Data from Improved Identification of von Hippel-Lindau Gene Alterations in Clear Cell Renal Tumors

Author

Nickerson, Michael L., primary, Jaeger, Erich, primary, Shi, Yangu, primary, Durocher, Jeffrey A., primary, Mahurkar, Sunil, primary, Zaridze, David, primary, Matveev, Vsevolod, primary, Janout, Vladimir, primary, Kollarova, Hellena, primary, Bencko, Vladimir, primary, Navratilova, Marie, primary, Szeszenia-Dabrowska, Neonilia, primary, Mates, Dana, primary, Mukeria, Anush, primary, Holcatova, Ivana, primary, Schmidt, Laura S., primary, Toro, Jorge R., primary, Karami, Sara, primary, Hung, Rayjean, primary, Gerard, Gary F., primary, Linehan, W. Marston, primary, Merino, Maria, primary, Zbar, Berton, primary, Boffetta, Paolo, primary, Brennan, Paul, primary, Rothman, Nathaniel, primary, Chow, Wong-Ho, primary, Waldman, Frederic M., primary, and Moore, Lee E., primary

Published
2023
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47. Supplementary Methods from The Ability of Bilirubin in Identifying Smokers with Higher Risk of Lung Cancer: A Large Cohort Study in Conjunction with Global Metabolomic Profiling

Author

Wen, Chi-Pang, primary, Zhang, Fanmao, primary, Liang, Dong, primary, Wen, Christopher, primary, Gu, Jian, primary, Skinner, Heath, primary, Chow, Wong-Ho, primary, Ye, Yuanqing, primary, Pu, Xia, primary, Hildebrandt, Michelle A.T., primary, Huang, Maosheng, primary, Chen, Chien-Hua, primary, Hsiung, Chao Agnes, primary, Tsai, Min Kuang, primary, Tsao, Chwen Keng, primary, Lippman, Scott M., primary, and Wu, Xifeng, primary

Published
2023
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49. Supplementary Table 4 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

Published
2023
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50. Supplementary Figure 1 from Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications

Author

Sampson, Joshua N., primary, Boca, Simina M., primary, Shu, Xiao Ou, primary, Stolzenberg-Solomon, Rachael Z., primary, Matthews, Charles E., primary, Hsing, Ann W., primary, Tan, Yu Ting, primary, Ji, Bu-Tian, primary, Chow, Wong-Ho, primary, Cai, Qiuyin, primary, Liu, Da Ke, primary, Yang, Gong, primary, Xiang, Yong Bing, primary, Zheng, Wei, primary, Sinha, Rashmi, primary, Cross, Amanda J., primary, and Moore, Steven C., primary

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2023
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