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1. 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

2. Additional file 1 of Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author

Nazlisadat Seyed Khoei, Mazda Jenab, Murphy, Neil, Banbury, Barbara L., Carreras-Torres, Robert, Viallon, Vivian, Kühn, Tilman, Bueno-De-Mesquita, Bas, Aleksandrova, Krasimira, Cross, Amanda J., Weiderpass, Elisabete, Stepien, Magdalena, Bulmer, Andrew, Tjønneland, Anne, Marie-Christine Boutron-Ruault, 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, Catalina, Rodríguez-Barranco, Miguel, Gil, Leire, Maria-Dolores Chirlaque, Ardanaz, Eva, Myte, Robin, Hultdin, Johan, Perez-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., Loic Le Marchand, Li, Christopher I., Li, Li, Lindblom, Annika, Noralane M. Lindor, Martín, Vicente, Moreno, Victor, 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., Franzel J. B. Van Duijnhoven, Weigl, Korbinian, Weinstein, Stephanie J., White, Emily, Wolk, Alicja, Woods, Michael O., Wu, Anna H., Xuehong Zhang, Ferrari, Pietro, Anton, Gabriele, Peters, Annette, Peters, Ulrike, Gunter, Marc J., Karl-Heinz Wagner, and Freisling, Heinz

Abstract

Additional file 1 Supplementary tables 1–6, supplementary figures 1–3, supplementary text 1. Suppl. table 1 - Summary statistics for the genetic association with bilirubin levels, and sex-stratified colorectal cancer risk. Suppl. table 2 - Participating studies in the genetic consortia (GECCO/ CCFR/ and CORECT). Suppl. table 3 - Associations between unconjugated bilirubin (UCB) levels and colorectal cancer risk after different sensitivity analyses in the EPIC study. Suppl. table 4 - Results for the Mendelian randomization sensitivity analyses. Suppl. table 5 - Results for the Mendelian randomization sensitivity analyses: positive control outcomes for pancreatic cancer. Suppl. table 6 - Results for genome-wide associations of instruments with other phenotypes. Suppl. figure 1 - Cubic spline modeling of unconjugated bilirubin (UCB) levels in relation to colorectal cancer risk in the EPIC study. Suppl. figure 2 - Association between UGT1A1 polymorphism (rs6431625) and unconjugated bilirubin (UCB) levels in the EPIC study (with available GWAS data). Suppl. figure 3 - Directed acyclic graph (DAG) of the causal structure of associations between unconjugated bilirubin (UCB) levels in relation to colorectal cancer risk in the EPIC study. Suppl. text 1 - Specific funding sources and acknowledgements of participating studies.

Published
2020
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3. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author

Schmit, Stephanie L, Edlund, Christopher K, Schumacher, Fredrick R, Gong, Jian, Harrison, Tabitha A, Huyghe, Jeroen R, Qu, Chenxu, Melas, Marilena, Van Den Berg, David J, Wang, Hansong, Tring, Stephanie, Plummer, Sarah J, Albanes, Demetrius, Alonso, M Henar, Amos, Christopher I, Anton, Kristen, Aragaki, Aaron K, Arndt, Volker, Barry, Elizabeth L, Berndt, Sonja I, Bezieau, Stéphane, Bien, Stephanie, Bloomer, Amanda, Boehm, Juergen, Boutron-Ruault, Marie-Christine, Brenner, Hermann, Brezina, Stefanie, Buchanan, Daniel D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Castelao, Jose E, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Iona, Cheng, Ya-Wen, Chin, Lee Soo, Church, James M, Church, Timothy, Coetzee, Gerhard A, Cotterchio, Michelle, Cruz Correa, Marcia, Curtis, Keith R, Duggan, David, Easton, Douglas F, English, Dallas, Feskens, Edith JM, Fischer, Rocky, FitzGerald, Liesel M, Fortini, Barbara K, Fritsche, Lars G, Fuchs, Charles S, Gago-Dominguez, Manuela, Gala, Manish, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Giovannucci, Edward L, Gogarten, Stephanie M, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Elena M, Grady, William M, Greenson, Joel K, Gsur, Andrea, Gunter, Marc, Haiman, Christopher A, Hampe, Jochen, Harlid, Sophia, Harju, John F, Hayes, Richard B, Hofer, Philipp, Hoffmeister, Michael, Hopper, John L, Huang, Shu-Chen, Huerta, Jose Maria, Hudson, Thomas J, Hunter, David J, Idos, Gregory E, Iwasaki, Motoki, Jackson, Rebecca D, Jacobs, Eric J, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei-Hua, Jiao, Shuo, Joshi, Amit D, Kolonel, Laurence N, Kono, Suminori, Kooperberg, Charles, Krogh, Vittorio, Kuehn, Tilman, Küry, Sébastien, LaCroix, Andrea, Laurie, Cecelia A, Lejbkowicz, Flavio, Lemire, Mathieu, Lenz, Heinz-Josef, and Levine, David

Subjects
Oncology And Carcinogenesis, Genotype, Prevention, Human Genome, Ethnic Groups, Single Nucleotide, Prognosis, United States, Colo-Rectal Cancer, Clinical Research, Genetic Loci, Case-Control Studies, Ethnicity, Genetics, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Aetiology, Polymorphism, Digestive Diseases, Colorectal Neoplasms, Cancer, Follow-Up Studies, Genome-Wide Association Study
Abstract

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

Published
2019

4. Response to Day et al

Author

Aschard, Hugues, Vilhjálmsson, Bjarni, Joshi, Amit, Price, Alkes, Kraft, Peter, Vilhjálmsson, Bjarni J., Joshi, Amit D., Price, Alkes L., Harvard T.H. Chan School of Public Health, Program in Genetic Epidemiology and Statistical Genetics (PGESG - BOSTON), and Harvard School of Public Health

Subjects
0301 basic medicine, Genome-wide association study, Body Mass Index, 03 medical and health sciences, Quantitative Trait, Heritable, MESH: Quantitative Trait, Heritable, Genetic variation, Covariate, Genetics, Humans, Genetics(clinical), Computer Simulation, MESH: Genetic Variation, MESH: Models, Genetic, Letters to the Editor, ComputingMilieux_MISCELLANEOUS, Genetics (clinical), Genetic association, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Humans, Models, Genetic, Waist-Hip Ratio, Causal effect, Genetic Variation, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Genome-Wide Association Study, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Waist Circumference, Psychology, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Genome-Wide Association Study, Demography
Abstract

In recent years, a number of large-scale genome-wide association studies have been published for human traits adjusted for other correlated traits with a genetic basis. In most studies, the motivation for such an adjustment is to discover genetic variants associated with the primary outcome independently of the correlated trait. In this report, we contend that this objective is fulfilled when the tested variants have no effect on the covariate or when the correlation between the covariate and the outcome is fully explained by a direct effect of the covariate on the outcome. For all other scenarios, an unintended bias is introduced with respect to the primary outcome as a result of the adjustment, and this bias might lead to false positives. Here, we illustrate this point by providing examples from published genome-wide association studies, including large meta-analysis of waist-to-hip ratio and waist circumference adjusted for body mass index (BMI), where genetic effects might be biased as a result of adjustment for body mass index. Using both theory and simulations, we explore this phenomenon in detail and discuss the ramifications for future genome-wide association studies of correlated traits and diseases.

Published
2016

5. Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS)

Author

Playdon, Mary C, Joshi, Amit D, Tabung, Fred K, Cheng, Susan, Henglin, Mir, Kim, Andy, Lin, Tengda, Van Roekel, Eline H, Huang, Jiaqi, Krumsiek, Jan, Wang, Ying, Mathé, Ewy, Temprosa, Marinella, Moore, Steven, Chawes, Bo, Eliassen, A Heather, Gsur, Andrea, Gunter, Marc J, Harada, Sei, Langenberg, Claudia, Oresic, Matej, Perng, Wei, Seow, Wei Jie, and Zeleznik, Oana A

Subjects
analytical methods, pre-processing, reporting, statistical analysis, data analysis, epidemiology, metabolomics, 3. Good health
Abstract

The application of metabolomics technology to epidemiological studies is emerging as a new approach to elucidate disease etiology and for biomarker discovery. However, analysis of metabolomics data is complex and there is an urgent need for the standardization of analysis workflow and reporting of study findings. To inform the development of such guidelines, we conducted a survey of 47 cohort representatives from the Consortium of Metabolomics Studies (COMETS) to gain insights into the current strategies and procedures used for analyzing metabolomics data in epidemiological studies worldwide. The results indicated a variety of applied analytical strategies, from biospecimen and data pre-processing and quality control to statistical analysis and reporting of study findings. These strategies included methods commonly used within the metabolomics community and applied in epidemiological research, as well as novel approaches to pre-processing pipelines and data analysis. To help with these discrepancies, we propose use of open-source initiatives such as the online web-based tool COMETS Analytics, which includes helpful tools to guide analytical workflow and the standardized reporting of findings from metabolomics analyses within epidemiological studies. Ultimately, this will improve the quality of statistical analyses, research findings, and study reproducibility.

6. Mendelian randomization analysis of C-reactive protein on colorectal cancer risk

Author

Wang, Xiaoliang, Dai, James Y, Albanes, Demetrius, Arndt, Volker, Berndt, Sonja I, Bézieau, Stéphane, Brenner, Hermann, Buchanan, Daniel D, Butterbach, Katja, Caan, Bette, Casey, Graham, Campbell, Peter T, Chan, Andrew T, Chen, Zhengyi, Chang-Claude, Jenny, Cotterchio, Michelle, Easton, Douglas F, Giles, Graham G, Giovannucci, Edward, Grady, William M, Hoffmeister, Michael, Hopper, John L, Hsu, Li, Jenkins, Mark A, Joshi, Amit D, Lampe, Johanna W, Larsson, Susanna C, Lejbkowicz, Flavio, Li, Li, Lindblom, Annika, Le Marchand, Loic, Martin, Vicente, Milne, Roger L, Moreno, Victor, Newcomb, Polly A, Offitt, Kenneth, Ogino, Shuji, Pharoah, Paul DP, Pinchev, Mila, Potter, John D, Rennert, Hedy S, Rennert, Gad, Saliba, Walid, Schafmayer, Clemens, Schoen, Robert E, Schrotz-King, Petra, Slattery, Martha L, Song, Mingyang, Stegmaier, Christa, Weinstein, Stephanie J, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Gruber, Stephen B, Peters, Ulrike, and White, Emily

Subjects
Male, colorectal cancer, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, 3. Good health, C-reactive protein, Causality, Logistic Models, Mendelian randomization, Humans, epidemiology, Female, Genetic Predisposition to Disease, Colorectal Neoplasms, Aged
Abstract

BACKGROUND: Chronic inflammation is a risk factor for colorectal cancer (CRC). Circulating C-reactive protein (CRP) is also moderately associated with CRC risk. However, observational studies are susceptible to unmeasured confounding or reverse causality. Using genetic risk variants as instrumental variables, we investigated the causal relationship between genetically elevated CRP concentration and CRC risk, using a Mendelian randomization approach. METHODS: Individual-level data from 30 480 CRC cases and 22 844 controls from 33 participating studies in three international consortia were used: the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT) and the Colon Cancer Family Registry (CCFR). As instrumental variables, we included 19 single nucleotide polymorphisms (SNPs) previously associated with CRP concentration. The SNP-CRC associations were estimated using a logistic regression model adjusted for age, sex, principal components and genotyping phases. An inverse-variance weighted method was applied to estimate the causal effect of CRP on CRC risk. RESULTS: Among the 19 CRP-associated SNPs, rs1260326 and rs6734238 were significantly associated with CRC risk (P = 7.5 × 10-4, and P = 0.003, respectively). A genetically predicted one-unit increase in the log-transformed CRP concentrations (mg/l) was not associated with increased risk of CRC [odds ratio (OR) = 1.04; 95% confidence interval (CI): 0.97, 1.12; P = 0.256). No evidence of association was observed in subgroup analyses stratified by other risk factors. CONCLUSIONS: In spite of adequate statistical power to detect moderate association, we found genetically elevated CRP concentration was not associated with increased risk of CRC among individuals of European ancestry. Our findings suggested that circulating CRP is unlikely to be a causal factor in CRC development.

7. Shared heritability and functional enrichment across six solid cancers

Author

Jiang, Xia, Finucane, Hilary K, Schumacher, Fredrick R, Schmit, Stephanie L, Tyrer, Jonathan P, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline B, Dennis, Joe, Conti, David V, Casey, Graham, Gaudet, Mia M, Huyghe, Jeroen R, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline S, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Antonenkova, Natalia N, Arnold, Susanne M, Aronson, Kristan J, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Batra, Jyotsna, Beckmann, Matthias W, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja I, Bickeböller, Heike, Bien, Stephanie A, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brenton, James D, Brook, Mark N, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel D, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Campbell, Peter T, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André L, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Chu, Christiani, David C, Claes, Kathleen BM, Claessens, Frank, Clements, Judith, Collée, J Margriet, Correa, Marcia Cruz, Couch, Fergus J, Cox, Angela, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, DeFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny L, Dörk, Thilo, Duell, Eric J, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Edlund, Christopher K, Edwards, Digna R Velez, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Ferris, Robert L, Liloglou, Triantafillos, Figueiredo, Jane C, Fletcher, Olivia, Fortner, Renée T, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven J, Ganz, Patricia A, Garber, Judy, García-Sáenz, José A, Gayther, Simon A, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, Goode, Ellen L, Goodman, Marc T, Goodman, Gary, Grankvist, Kjell, Greene, Mark H, Gronberg, Henrik, Gronwald, Jacek, Guénel, Pascal, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hamdy, Freddie C, Hamilton, Robert J, Hampe, Jochen, Haugen, Aage, Heitz, Florian, Herrero, Rolando, Hillemanns, Peter, Hoffmeister, Michael, Høgdall, Estrid, Hong, Yun-Chul, Hopper, John L, Houlston, Richard, Hulick, Peter J, Hunter, David J, Huntsman, David G, Idos, Gregory, Imyanitov, Evgeny N, Ingles, Sue Ann, Isaacs, Claudine, Jakubowska, Anna, James, Paul, Jenkins, Mark A, Johansson, Mattias, Johansson, Mikael, John, Esther M, Joshi, Amit D, Kaneva, Radka, Karlan, Beth Y, Kelemen, Linda E, Kühl, Tabea, Khaw, Kay-Tee, Khusnutdinova, Elza, Kibel, Adam S, Kiemeney, Lambertus A, Kim, Jeri, Kjaer, Susanne K, Knight, Julia A, Kogevinas, Manolis, Kote-Jarai, Zsofia, Koutros, Stella, Kristensen, Vessela N, Kupryjanczyk, Jolanta, Lacko, Martin, Lam, Stephan, Lambrechts, Diether, Landi, Maria Teresa, Lazarus, Philip, Le, Nhu D, Lee, Eunjung, Lejbkowicz, Flavio, Lenz, Heinz-Josef, Leslie, Goska, Lessel, Davor, Lester, Jenny, Levine, Douglas A, Li, Li, Li, Christopher I, Lindblom, Annika, Lindor, Noralane M, Liu, Geoffrey, Loupakis, Fotios, Lubiński, Jan, Maehle, Lovise, Maier, Christiane, Mannermaa, Arto, Marchand, Loic Le, Margolin, Sara, May, Taymaa, McGuffog, Lesley, Meindl, Alfons, Middha, Pooja, Miller, Austin, Milne, Roger L, MacInnis, Robert J, Modugno, Francesmary, Montagna, Marco, Moreno, Victor, Moysich, Kirsten B, Mucci, Lorelei, Muir, Kenneth, Mulligan, Anna Marie, Nathanson, Katherine L, Neal, David E, Ness, Andrew R, Neuhausen, Susan L, Nevanlinna, Heli, Newcomb, Polly A, Newcomb, Lisa F, Nielsen, Finn Cilius, Nikitina-Zake, Liene, Nordestgaard, Børge G, Nussbaum, Robert L, Offit, Kenneth, Olah, Edith, Olama, Ali Amin Al, Olopade, Olufunmilayo I, Olshan, Andrew F, Olsson, Håkan, Osorio, Ana, Pandha, Hardev, Park, Jong Y, Pashayan, Nora, Parsons, Michael T, Pejovic, Tanja, Penney, Kathryn L, Peters, Wilbert HM, Phelan, Catherine M, Phipps, Amanda I, Plaseska-Karanfilska, Dijana, Pring, Miranda, Prokofyeva, Darya, Radice, Paolo, Stefansson, Kari, Ramus, Susan J, Raskin, Leon, Rennert, Gad, Rennert, Hedy S, Van Rensburg, Elizabeth J, Riggan, Marjorie J, Risch, Harvey A, Risch, Angela, Roobol, Monique J, Rosenstein, Barry S, Rossing, Mary Anne, De Ruyck, Kim, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schabath, Matthew B, Schleutker, Johanna, Schmidt, Marjanka K, Setiawan, V Wendy, Shen, Hongbing, Siegel, Erin M, Sieh, Weiva, Singer, Christian F, Slattery, Martha L, Sorensen, Karina Dalsgaard, Southey, Melissa C, Spurdle, Amanda B, Stanford, Janet L, Stevens, Victoria L, Stintzing, Sebastian, Stone, Jennifer, Sundfeldt, Karin, Sutphen, Rebecca, Swerdlow, Anthony J, Tajara, Eloiza H, Tangen, Catherine M, Tardon, Adonina, Taylor, Jack A, Teare, M Dawn, Teixeira, Manuel R, Terry, Mary Beth, Terry, Kathryn L, Thibodeau, Stephen N, Thomassen, Mads, Bjørge, Line, Tischkowitz, Marc, Toland, Amanda E, Torres, Diana, Townsend, Paul A, Travis, Ruth C, Tung, Nadine, Tworoger, Shelley S, Ulrich, Cornelia M, Usmani, Nawaid, Vachon, Celine M, Van Nieuwenhuysen, Els, Vega, Ana, Aguado-Barrera, Miguel Elías, Wang, Qin, Webb, Penelope M, Weinberg, Clarice R, Weinstein, Stephanie, Weissler, Mark C, Weitzel, Jeffrey N, West, Catharine ML, White, Emily, Whittemore, Alice S, Wichmann, H-Erich, Wiklund, Fredrik, Winqvist, Robert, Wolk, Alicja, Woll, Penella, Woods, Michael, Wu, Anna H, Wu, Xifeng, Yannoukakos, Drakoulis, Zheng, Wei, Zienolddiny, Shanbeh, Ziogas, Argyrios, Zorn, Kristin K, Lane, Jacqueline M, Saxena, Richa, Thomas, Duncan, Hung, Rayjean J, Diergaarde, Brenda, McKay, James, Peters, Ulrike, Hsu, Li, García-Closas, Montserrat, Eeles, Rosalind A, Chenevix-Trench, Georgia, Brennan, Paul J, Haiman, Christopher A, Simard, Jacques, Easton, Douglas F, Gruber, Stephen B, Pharoah, Paul DP, Price, Alkes L, Pasaniuc, Bogdan, Amos, Christopher I, Kraft, Peter, and Lindström, Sara

Subjects
Male, Ovarian Neoplasms, Lung Neoplasms, Mental Disorders, Smoking, Inheritance Patterns, Prostatic Neoplasms, Breast Neoplasms, Polymorphism, Single Nucleotide, White People, 3. Good health, Neoplasm Proteins, Phenotype, Head and Neck Neoplasms, Case-Control Studies, Humans, Female, Genetic Predisposition to Disease, Colorectal Neoplasms, Genome-Wide Association Study
Abstract

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

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

Author

Charles M. Connolly, Deborah A. Nickerson, Jian Gong, Sébastien Küry, Barbara Pardini, Brent W. Zanke, Andrea Gsur, Jochen Hampe, Coral Arnau-Collell, M. Henar Alonso, Elio Riboli, Annika Lindblom, Ulrike Peters, Gad Rennert, Tabitha A. Harrison, Lori C. Sakoda, Caroline McNeil, Flavio Lejbkowicz, Hyun Min Kang, David J. Hunter, Martha L. Slattery, Miguel Rodríguez-Barranco, Christina Bamia, Satu Männistö, Timothy J. Key, W. James Gauderman, Gonçalo R. Abecasis, Sanford D. Markowitz, Laurence N. Kolonel, Mark A. Jenkins, Yi Lin, Robin Myte, Hedy S. Rennert, Neil Murphy, Antonia Trichopoulou, Christopher I. Li, Ross L. Prentice, Sai Chen, Stephanie J. Weinstein, Kristin E. Anderson, Hua Ling, Mitul Shah, Philipp Hofer, Wen Yi Huang, Sergi Castellví-Bel, Susanna C. Larsson, Maria Dolores Chirlaque, Wei Zheng, Stephanie L. Schmit, Cecelia A. Laurie, Soo-Chin Lee, David Forman, Andrea N. Burnett-Hartman, Giovanna Masala, Sarah C. Nelson, Michael O. Woods, Charles Kooperberg, Qing Zhang, Sonja I. Berndt, Christopher S. Carlson, Katja Butterbach, Hyeong Rok Kim, Rebecca D. Jackson, David Van Den Berg, Michael C. Bassik, Amanda J. Cross, Sushma S. Thomas, Clemens Schafmayer, Anna H. Wu, Douglas F. Easton, Robert W. Haile, Ludmila Vodickova, Graham G. Giles, Yu Ru Su, Jenny Chang-Claude, Lorena Moreno, Peter C. Scacheri, Stefanie Brezina, Min-Ho Shin, Steven Gallinger, Bethany Van Guelpen, Daniel D. Buchanan, Roger L. Milne, Stephen J. Chanock, Tin Louie, Tameka Shelford, Emily White, Kala Visvanathan, Loic Le Marchand, Veronika Vymetalkova, Roxann G. Ingersoll, Temitope O. Keku, Stephanie A. Bien, Fredrick R. Schumacher, Wan-Ling Hsu, Amanda E. Toland, John S. Grove, Noralane M. Lindor, Faye Elliott, Leon Raskin, Heather Hampel, Joshua D. Smith, Vicente Martín, David V. Conti, Sjoerd G. Elias, Henk J. van Kranen, Manish Gala, Daniela Seminara, Syed H.E. Zaidi, Suzanne M. Leal, Tilman Kühn, Korbinian Weigl, Marc J. Gunter, Cornelia M. Ulrich, Peyton Greenside, Victor Moreno, John D. Potter, Michael Hoffmeister, Eric J. Jacobs, Catherine M. Tangen, Jihyoun Jeon, Fränzel J.B. Van Duijnhoven, Andrew T. Chan, Stephen B. Gruber, John A. Baron, Alicja Wolk, Edith J. M. Feskens, Demetrius Albanes, Amit Joshi, Bette J. Caan, Polly A. Newcomb, Stéphane Bézieau, Elizabeth M. Gillanders, Anshul Kundaje, Elizabeth A. Platz, Michael Wainberg, Sun-Seog Kweon, C. Roland Wolf, Gemma Ibáñez-Sanz, Shuji Ogino, Emiko Kobayashi, Richard B. Hayes, Patrick S. Parfrey, Katarina Cuk, Stephen N. Thibodeau, Kenneth Offit, David Duggan, Sophia Harlid, Pavel Vodicka, Juergen Boehm, Christa Stegmaier, Jeroen R. Huyghe, Joseph Vijai, Sang-Hee Cho, Elizabeth W. Pugh, Rachel Pearlman, Alessio Naccarati, Marilena Melas, Graham Casey, Jane Romm, Stephan Buch, Phyllis J. Goodman, Albert de la Chapelle, John L. Hopper, Zsofia K. Stadler, Corinne E. Joshu, Liesel M. FitzGerald, Wolfgang Lieb, Aung Ko Win, Keith R. Curtis, Hermann Brenner, Christopher K. Edlund, Li Hsu, Conghui Qu, Peter T. Campbell, Robert E. Schoen, Heiner Boeing, D. Timothy Bishop, Kimberly F. Doheny, Sabina Sieri, Barbara L. Banbury, Mathieu Lemire, Jane C. Figueiredo, Gregory Idos, Katerina Shulman, Thomas J. Hudson, Melissa C. Southey, Duncan C. Thomas, Paul D.P. Pharoah, Mila Pinchev, Vittorio Perduca, Rocky Fischer, Volker Arndt, William M. Grady, Nasa Sinnott-Armstrong, N. Charlotte Onland-Moret, David M. Levine, Li Li, Dallas R. English, Health Research Board - Ireland, Department of Medical Genetics, HMNC Brain Health, Case Western Reserve University [Cleveland], National Cancer Institute, NIH, Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Service de Génétique, Centre hospitalier universitaire de Nantes (CHU Nantes), Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Division of Cancer Epidemiology, Cancer Genome Project, The Wellcome Trust Sanger Institute [Cambridge], Division of Signaling Biology, Ontario Cancer Institute, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), National Institute of Standards and Technology [Gaithersburg] (NIST), Ohio State University [Columbus] (OSU), Centre for Cancer Genetic Epidemiology, University of Cambridge [UK] (CAM), Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, Cancer Epidemiology Centre, Cancer Council Victoria, Division of Human Nutrition, Wageningen University and Research [Wageningen] (WUR), Division of Public Health Sciences, Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Northern and Yorkshire Cancer Registry and Information Service, Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), University of Melbourne, Nutrition and Metabolism Section, International Agency for Cancer Research (IACR), Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, London School of Hygiene and Tropical Medicine (LSHTM), Fraunhofer Institute for Manufacturing Engineering and Automation (Fraunhofer IPA), Fraunhofer (Fraunhofer-Gesellschaft), Centre for Molecular , Environmental, Genetic and Analytic (MEGA) Epidemiology, University of Melbourne-Centre for Molecular, Melbourne School of Population Health, Department of Mathematics, University of Warwick, Warwick Mathematics Institute (WMI), University of Warwick [Coventry]-University of Warwick [Coventry], Department of Statistics, Penn State University, University of Pennsylvania [Philadelphia], Tata Memorial Centre, Cancer Epidemiology Unit, University of Oxford [Oxford], Thermo Fisher Scientific, Thermo Fisher Scientific Inc., Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Baylor University-Baylor University, National University Health System, Department of Community Medicine and Epidemiology, CHS National Cancer Control Center, Ontario Institute for Cancer Research [Canada] (OICR), Ontario Institute for Cancer Research, Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Dell-EMC, Molecular and Nutritional Epidemiology Unit (ISPO), Cancer Research and Prevention Institute, Clinical Genetics Service, Memorial Sloane Kettering Cancer Center [New York], Department of Pathology, Brigham and Women's Hospital [Boston], University Medical Center [Utrecht], Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Department of Oncology, Department of Epidemiology and Biostatistics, Imperial College London, Department of Visceral and Thoracic Surgery [Kiel, Germany], University Hospital Schleswig-Holstein [Kiel, Germany], Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, entre for Molecular, Environmental, Genetic and Analytic (MEGA) Epidemiology, Department of Laboratory Medicine and Department of Pathology, Mayo Clinic College of Medicine, Department of Molecular Virology, Immunology and Medical Genetics [Colombus], Ohio State University [Columbus] (OSU)-College of Medicine and Public Health [Colombus], Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens], Department of Medical Biosciences and Pathology, Umeå University, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Dundee Technopole, CXR Biosciences Ltd, Karolinska Institutet [Stockholm], CINTRA / SEEE Nanyang Technological University, Nanyang Technological University [Singapour], Center for Astrophysical Sciences [Baltimore], Johns Hopkins University (JHU), Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Department of Preventive Medicine, University of Southern California (USC), Biomedical Research Centre Network for Rare Diseases, CIBER de Enfermedades Raras (CIBERER), Medstar Research Institute, Department of Genome Sciences [Seattle] (GS), University of Washington [Seattle], Department of Internal Medicine, Epidemiology, Human Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Wageningen University and Research Centre [Wageningen] (WUR), Mount Sinai Hospital (MSH), Fraunhofer Institute for Manufacturing Engineering and Automation [Stuttgart] (IPA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Czech Academy of Sciences [Prague] (ASCR), Huyghe, Jeroen R [0000-0001-6027-9806], Harrison, Tabitha A [0000-0002-4173-7530], Chen, Sai [0000-0003-3106-5643], Schmit, Stephanie L [0000-0001-5931-1194], Jeon, Jihyoun [0000-0001-7003-3412], Schumacher, Fredrick R [0000-0002-3073-7463], Nelson, Sarah C [0000-0002-2109-6465], Sinnott-Armstrong, Nasa A [0000-0003-4490-0601], Alonso, M Henar [0000-0003-0285-5451], Arndt, Volker [0000-0001-9320-8684], Bézieau, Stéphane [0000-0003-0095-1319], Bishop, D Timothy [0000-0002-8752-8785], Brezina, Stefanie [0000-0001-5238-6900], Buchanan, Daniel D [0000-0003-2225-6675], Chanock, Stephen J [0000-0002-2324-3393], de la Chapelle, Albert [0000-0001-9345-9248], Easton, Douglas F [0000-0003-2444-3247], Hampe, Jochen [0000-0002-2421-6127], Hayes, Richard B [0000-0002-0918-661X], Hofer, Philipp [0000-0003-2550-6019], Huang, Wen-Yi [0000-0002-4440-3368], Hudson, Thomas J [0000-0002-1376-4849], Jacobs, Eric J [0000-0002-8458-7659], Jenkins, Mark A [0000-0002-8964-6160], Joshi, Amit D [0000-0001-7581-6934], Küry, Sébastien [0000-0001-5497-0465], Larsson, Susanna C [0000-0003-0118-0341], Laurie, Cecelia A [0000-0001-6569-2501], Martín, Vicente [0000-0003-0552-2804], Masala, Giovanna [0000-0002-5758-9069], Milne, Roger L [0000-0001-5764-7268], Naccarati, Alessio [0000-0001-5774-0905], Newcomb, Polly A [0000-0001-8786-0043], Pardini, Barbara [0000-0001-9571-4257], Perduca, Vittorio [0000-0003-0339-0473], Pharoah, Paul DP [0000-0001-8494-732X], Raskin, Leon [0000-0003-1195-7214], Rennert, Gad [0000-0002-8512-068X], Shin, Min-Ho [0000-0002-2217-5624], Toland, Amanda E [0000-0002-0271-1792], Vijai, Joseph [0000-0002-7933-151X], Weigl, Korbinian [0000-0003-4453-2036], Win, Aung Ko [0000-0002-2794-5261], Wolk, Alicja [0000-0001-7387-6845], Zheng, Wei [0000-0003-1226-070X], Bassik, Michael C [0000-0001-5185-8427], Moreno, Victor [0000-0002-2818-5487], Peters, Ulrike [0000-0001-5666-9318], and Apollo - University of Cambridge Repository

Subjects
Male, Nutrition and Disease, Colorectal cancer, IDENTIFIES 6, Genome-wide association study, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, Genotype, ComputingMilieux_MISCELLANEOUS, Avaluació del risc per la salut, Genetics & Heredity, Genetics, 0303 health sciences, COLON-CANCER, 11 Medical And Health Sciences, Middle Aged, 3. Good health, Medical genetics, Female, RNA, Long Noncoding, Colorectal Neoplasms, Life Sciences & Biomedicine, Signal Transduction, EXPRESSION, medicine.medical_specialty, SUSCEPTIBILITY LOCI, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Polymorphism, Single Nucleotide, Article, Health risk assessment, 03 medical and health sciences, QUALITY-CONTROL, Càncer colorectal, Journal Article, medicine, Life Science, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, METAANALYSIS, VLAG, Aged, 030304 developmental biology, Global Nutrition, [SDV.GEN]Life Sciences [q-bio]/Genetics, Wereldvoeding, Science & Technology, ORGAN SIZE, MUTATIONS, Haplotype, Case-control study, 06 Biological Sciences, medicine.disease, Genetic architecture, Case-Control Studies, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Human genome, LYSOPHOSPHATIDIC ACID, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P, Reporting Summary. Further information on experimental design is available in the Life Sciences Reporting Summary linked to this article.

Published
2018

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