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1. Calcium intake and genetic variants in the calcium sensing receptor in relation to colorectal cancer mortality: an international consortium study of 18,952 patients

Author: Evertine Wesselink, William Gauderman, Sonja I. Berndt, Hermann Brenner, Daniel D. Buchanan, Peter T. Campbell, Andrew T. Chan, Jenny Chang-Claude, Michelle Cotterchoi, Marc J. Gunter, Michael Hoffmeister, Amit D. Joshi, Christina C. Newton, Rish K. Pai, Andrew J. Pellatt, Amanda I. Phipps, Mingyang Song, Caroline Y. Um, Bethany van Guelpen, Emily White, Ulrike Peters, and Fränzel J. B. van Duijnhoven
Subjects: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Research on calcium intake as well as variants in the calcium sensor receptor (CaSR) gene and their interaction in relation to CRC survival is still limited. Methods Data from 18,952 CRC patients, were included. Associations between primarily pre-diagnostic dietary (n = 13.085), supplemental (n = 11,837), total calcium intake (n = 5970) as well as 325 single nucleotide polymorphisms (SNPs) of the CaSR gene (n = 15,734) in relation to CRC-specific and all-cause mortality were assessed using Cox proportional hazard models. Also interactions between calcium intake and variants in the CaSR gene were assessed. Results During a median follow-up of 4.8 years (IQR 2.4–8.4), 6801 deaths occurred, of which 4194 related to CRC. For all-cause mortality, no associations were observed for the highest compared to the lowest sex- and study-specific quartile of dietary (HR 1.00, 95%CI 0.92–1.09), supplemental (HR 0.97, 95%CI 0.89–1.06) and total calcium intake (HR 0.99, 95%CI 0.88–1.11). No associations with CRC-specific mortality were observed either. Interactions were observed between supplemental calcium intake and several SNPs of the CaSR gene. Conclusion Calcium intake was not associated with all-cause or CRC-specific mortality in CRC patients. The association between supplemental calcium intake and all-cause and CRC-specific mortality may be modified by genetic variants in the CaSR gene.
Published: 2024
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2. Serum levels of B-cell activating factor are associated with a reduced risk of chronic lymphocytic leukemia

Author: Eleanor Frost, Jonathan N. Hofmann, Wen-Yi Huang, Ashley A. Frazer-Abel, Kevin D. Deane, and Sonja I. Berndt
Subjects: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Impact Immune dysregulation is thought to contribute to chronic lymphocytic leukemia (CLL) risk, but biological mechanisms are unclear. We discovered that increased serum levels of B-cell activating factor (BAFF), an important regulator of B-cell maturation, were associated with a decreased risk of CLL, even >10 years after blood draw. Our findings suggest that BAFF could be a useful biomarker to assess risk among individuals at high risk, such as those with monoclonal b-cell lymphocytosis.
Published: 2024
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3. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Author: Zhishan Chen, Xingyi Guo, Ran Tao, Jeroen R. Huyghe, Philip J. Law, Ceres Fernandez-Rozadilla, Jie Ping, Guochong Jia, Jirong Long, Chao Li, Quanhu Shen, Yuhan Xie, Maria N. Timofeeva, Minta Thomas, Stephanie L. Schmit, Virginia Díez-Obrero, Matthew Devall, Ferran Moratalla-Navarro, Juan Fernandez-Tajes, Claire Palles, Kitty Sherwood, Sarah E. W. Briggs, Victoria Svinti, Kevin Donnelly, Susan M. Farrington, James Blackmur, Peter G. Vaughan-Shaw, Xiao-Ou Shu, Yingchang Lu, Peter Broderick, James Studd, Tabitha A. Harrison, David V. Conti, Fredrick R. Schumacher, Marilena Melas, Gad Rennert, Mireia Obón-Santacana, Vicente Martín-Sánchez, Jae Hwan Oh, Jeongseon Kim, Sun Ha Jee, Keum Ji Jung, Sun-Seog Kweon, Min-Ho Shin, Aesun Shin, Yoon-Ok Ahn, Dong-Hyun Kim, Isao Oze, Wanqing Wen, Keitaro Matsuo, Koichi Matsuda, Chizu Tanikawa, Zefang Ren, Yu-Tang Gao, Wei-Hua Jia, John L. Hopper, Mark A. Jenkins, Aung Ko Win, Rish K. Pai, Jane C. Figueiredo, Robert W. Haile, Steven Gallinger, Michael O. Woods, Polly A. Newcomb, David Duggan, Jeremy P. Cheadle, Richard Kaplan, Rachel Kerr, David Kerr, Iva Kirac, Jan Böhm, Jukka-Pekka Mecklin, Pekka Jousilahti, Paul Knekt, Lauri A. Aaltonen, Harri Rissanen, Eero Pukkala, Johan G. Eriksson, Tatiana Cajuso, Ulrika Hänninen, Johanna Kondelin, Kimmo Palin, Tomas Tanskanen, Laura Renkonen-Sinisalo, Satu Männistö, Demetrius Albanes, Stephanie J. Weinstein, Edward Ruiz-Narvaez, Julie R. Palmer, Daniel D. Buchanan, Elizabeth A. Platz, Kala Visvanathan, Cornelia M. Ulrich, Erin Siegel, Stefanie Brezina, Andrea Gsur, Peter T. Campbell, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner, Martha L. Slattery, John D. Potter, Kostas K. Tsilidis, Matthias B. Schulze, Marc J. Gunter, Neil Murphy, Antoni Castells, Sergi Castellví-Bel, Leticia Moreira, Volker Arndt, Anna Shcherbina, D. Timothy Bishop, Graham G. Giles, Melissa C. Southey, Gregory E. Idos, Kevin J. McDonnell, Zomoroda Abu-Ful, Joel K. Greenson, Katerina Shulman, Flavio Lejbkowicz, Kenneth Offit, Yu-Ru Su, Robert Steinfelder, Temitope O. Keku, Bethany van Guelpen, Thomas J. Hudson, Heather Hampel, Rachel Pearlman, Sonja I. Berndt, Richard B. Hayes, Marie Elena Martinez, Sushma S. Thomas, Paul D. P. Pharoah, Susanna C. Larsson, Yun Yen, Heinz-Josef Lenz, Emily White, Li Li, Kimberly F. Doheny, Elizabeth Pugh, Tameka Shelford, Andrew T. Chan, Marcia Cruz-Correa, Annika Lindblom, David J. Hunter, Amit D. Joshi, Clemens Schafmayer, Peter C. Scacheri, Anshul Kundaje, Robert E. Schoen, Jochen Hampe, Zsofia K. Stadler, Pavel Vodicka, Ludmila Vodickova, Veronika Vymetalkova, Christopher K. Edlund, W. James Gauderman, David Shibata, Amanda Toland, Sanford Markowitz, Andre Kim, Stephen J. Chanock, Franzel van Duijnhoven, Edith J. M. Feskens, Lori C. Sakoda, Manuela Gago-Dominguez, Alicja Wolk, Barbara Pardini, Liesel M. FitzGerald, Soo Chin Lee, Shuji Ogino, Stephanie A. Bien, Charles Kooperberg, Christopher I. Li, Yi Lin, Ross Prentice, Conghui Qu, Stéphane Bézieau, Taiki Yamaji, Norie Sawada, Motoki Iwasaki, Loic Le Marchand, Anna H. Wu, Chenxu Qu, Caroline E. McNeil, Gerhard Coetzee, Caroline Hayward, Ian J. Deary, Sarah E. Harris, Evropi Theodoratou, Stuart Reid, Marion Walker, Li Yin Ooi, Ken S. Lau, Hongyu Zhao, Li Hsu, Qiuyin Cai, Malcolm G. Dunlop, Stephen B. Gruber, Richard S. Houlston, Victor Moreno, Graham Casey, Ulrike Peters, Ian Tomlinson, and Wei Zheng
Subjects: Science
Abstract: Abstract Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.
Published: 2024
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4. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancerResearch in context

Author: Nikos Papadimitriou, Andre Kim, Eric S. Kawaguchi, John Morrison, Virginia Diez-Obrero, Demetrius Albanes, Sonja I. Berndt, Stéphane Bézieau, Stephanie A. Bien, D Timothy Bishop, Emmanouil Bouras, Hermann Brenner, Daniel D. Buchanan, Peter T. Campbell, Robert Carreras-Torres, Andrew T. Chan, Jenny Chang-Claude, David V. Conti, Matthew A. Devall, Niki Dimou, David A. Drew, Stephen B. Gruber, Tabitha A. Harrison, Michael Hoffmeister, Jeroen R. Huyghe, Amit D. Joshi, Temitope O. Keku, Anshul Kundaje, Sébastien Küry, Loic Le Marchand, Juan Pablo Lewinger, Li Li, Brigid M. Lynch, Victor Moreno, Christina C. Newton, Mireia Obón-Santacana, Jennifer Ose, Andrew J. Pellatt, Anita R. Peoples, Elizabeth A. Platz, Conghui Qu, Gad Rennert, Edward Ruiz-Narvaez, Anna Shcherbina, Mariana C. Stern, Yu-Ru Su, Duncan C. Thomas, Claire E. Thomas, Yu Tian, Konstantinos K. Tsilidis, Cornelia M. Ulrich, Caroline Y. Um, Kala Visvanathan, Jun Wang, Emily White, Michael O. Woods, Stephanie L. Schmit, Finlay Macrae, John D. Potter, John L. Hopper, Ulrike Peters, Neil Murphy, Li Hsu, Marc J. Gunter, and W. James Gauderman
Subjects: Diet, Fibre, Gene-environment interaction, Colorectal cancer, GWAS, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations. Methods: A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously. Findings: The 3-DF joint test revealed two significant loci with p-value
Published: 2024
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5. FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases

Author: Charles E. Breeze, Eric Haugen, María Gutierrez-Arcelus, Xiaozheng Yao, Andrew Teschendorff, Stephan Beck, Ian Dunham, John Stamatoyannopoulos, Nora Franceschini, Mitchell J. Machiela, and Sonja I. Berndt
Subjects: Gene regulation, Functional annotation, Variant scoring, Regulatory elements, Genome-wide association study (GWAS), Expression quantitative trait locus (eQTL), Biology (General), QH301-705.5, Genetics, QH426-470
Abstract: Abstract The majority of disease-associated variants identified through genome-wide association studies are located outside of protein-coding regions. Prioritizing candidate regulatory variants and gene targets to identify potential biological mechanisms for further functional experiments can be challenging. To address this challenge, we developed FORGEdb ( https://forgedb.cancer.gov/ ; https://forge2.altiusinstitute.org/files/forgedb.html ; and https://doi.org/10.5281/zenodo.10067458 ), a standalone and web-based tool that integrates multiple datasets, delivering information on associated regulatory elements, transcription factor binding sites, and target genes for over 37 million variants. FORGEdb scores provide researchers with a quantitative assessment of the relative importance of each variant for targeted functional experiments.
Published: 2024
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6. Body size and risk of colorectal cancer molecular defined subtypes and pathways: Mendelian randomization analysesResearch in context

Author: Nikos Papadimitriou, Conghui Qu, Tabitha A. Harrison, Alaina M. Bever, Richard M. Martin, Konstantinos K. Tsilidis, Polly A. Newcomb, Stephen N. Thibodeau, Christina C. Newton, Caroline Y. Um, Mireia Obón-Santacana, Victor Moreno, Hermann Brenner, Marko Mandic, Jenny Chang-Claude, Michael Hoffmeister, Andrew J. Pellatt, Robert E. Schoen, Sophia Harlid, Shuji Ogino, Tomotaka Ugai, Daniel D. Buchanan, Brigid M. Lynch, Stephen B. Gruber, Yin Cao, Li Hsu, Jeroen R. Huyghe, Yi Lin, Robert S. Steinfelder, Wei Sun, Bethany Van Guelpen, Syed H. Zaidi, Amanda E. Toland, Sonja I. Berndt, Wen-Yi Huang, Elom K. Aglago, David A. Drew, Amy J. French, Peter Georgeson, Marios Giannakis, Meredith Hullar, Johnathan A. Nowak, Claire E. Thomas, Loic Le Marchand, Iona Cheng, Steven Gallinger, Mark A. Jenkins, Marc J. Gunter, Peter T. Campbell, Ulrike Peters, Mingyang Song, Amanda I. Phipps, and Neil Murphy
Subjects: Obesity, Colorectal cancer, Mendelian randomization, Molecular subtypes, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Obesity has been positively associated with most molecular subtypes of colorectal cancer (CRC); however, the magnitude and the causality of these associations is uncertain. Methods: We used Mendelian randomization (MR) to examine potential causal relationships between body size traits (body mass index [BMI], waist circumference, and body fat percentage) with risks of Jass classification types and individual subtypes of CRC (microsatellite instability [MSI] status, CpG island methylator phenotype [CIMP] status, BRAF and KRAS mutations). Summary data on tumour markers were obtained from two genetic consortia (CCFR, GECCO). Findings: A 1-standard deviation (SD:5.1 kg/m2) increment in BMI levels was found to increase risks of Jass type 1MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype (odds ratio [OR]: 2.14, 95% confidence interval [CI]: 1.46, 3.13; p-value = 9 × 10−5) and Jass type 2non-MSI-high,CIMP-high,BRAF-mutated,KRAS-wildtype CRC (OR: 2.20, 95% CI: 1.26, 3.86; p-value = 0.005). The magnitude of these associations was stronger compared with Jass type 4non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-wildtype CRC (p-differences: 0.03 and 0.04, respectively). A 1-SD (SD:13.4 cm) increment in waist circumference increased risk of Jass type 3non-MSI-high,CIMP-low/negative,BRAF-wildtype,KRAS-mutated (OR 1.73, 95% CI: 1.34, 2.25; p-value = 9 × 10−5) that was stronger compared with Jass type 4 CRC (p-difference: 0.03). A higher body fat percentage (SD:8.5%) increased risk of Jass type 1 CRC (OR: 2.59, 95% CI: 1.49, 4.48; p-value = 0.001), which was greater than Jass type 4 CRC (p-difference: 0.03). Interpretation: Body size was more strongly linked to the serrated (Jass types 1 and 2) and alternate (Jass type 3) pathways of colorectal carcinogenesis in comparison to the traditional pathway (Jass type 4). Funding: Cancer Research UK, National Institute for Health Research, Medical Research Council, National Institutes of Health, National Cancer Institute, American Institute for Cancer Research, Brigham and Women's Hospital, Prevent Cancer Foundation, Victorian Cancer Agency, Swedish Research Council, Swedish Cancer Society, Region Västerbotten, Knut and Alice Wallenberg Foundation, Lion’s Cancer Research Foundation, Insamlingsstiftelsen, Umeå University. Full funding details are provided in acknowledgements.
Published: 2024
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7. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

Author: Minta Thomas, Yu-Ru Su, Elisabeth A. Rosenthal, Lori C. Sakoda, Stephanie L. Schmit, Maria N. Timofeeva, Zhishan Chen, Ceres Fernandez-Rozadilla, Philip J. Law, Neil Murphy, Robert Carreras-Torres, Virginia Diez-Obrero, Franzel J. B. van Duijnhoven, Shangqing Jiang, Aesun Shin, Alicja Wolk, Amanda I. Phipps, Andrea Burnett-Hartman, Andrea Gsur, Andrew T. Chan, Ann G. Zauber, Anna H. Wu, Annika Lindblom, Caroline Y. Um, Catherine M. Tangen, Chris Gignoux, Christina Newton, Christopher A. Haiman, Conghui Qu, D. Timothy Bishop, Daniel D. Buchanan, David R. Crosslin, David V. Conti, Dong-Hyun Kim, Elizabeth Hauser, Emily White, Erin Siegel, Fredrick R. Schumacher, Gad Rennert, Graham G. Giles, Heather Hampel, Hermann Brenner, Isao Oze, Jae Hwan Oh, Jeffrey K. Lee, Jennifer L. Schneider, Jenny Chang-Claude, Jeongseon Kim, Jeroen R. Huyghe, Jiayin Zheng, Jochen Hampe, Joel Greenson, John L. Hopper, Julie R. Palmer, Kala Visvanathan, Keitaro Matsuo, Koichi Matsuda, Keum Ji Jung, Li Li, Loic Le Marchand, Ludmila Vodickova, Luis Bujanda, Marc J. Gunter, Marco Matejcic, Mark A. Jenkins, Martha L. Slattery, Mauro D’Amato, Meilin Wang, Michael Hoffmeister, Michael O. Woods, Michelle Kim, Mingyang Song, Motoki Iwasaki, Mulong Du, Natalia Udaltsova, Norie Sawada, Pavel Vodicka, Peter T. Campbell, Polly A. Newcomb, Qiuyin Cai, Rachel Pearlman, Rish K. Pai, Robert E. Schoen, Robert S. Steinfelder, Robert W. Haile, Rosita Vandenputtelaar, Ross L. Prentice, Sébastien Küry, Sergi Castellví-Bel, Shoichiro Tsugane, Sonja I. Berndt, Soo Chin Lee, Stefanie Brezina, Stephanie J. Weinstein, Stephen J. Chanock, Sun Ha Jee, Sun-Seog Kweon, Susan Vadaparampil, Tabitha A. Harrison, Taiki Yamaji, Temitope O. Keku, Veronika Vymetalkova, Volker Arndt, Wei-Hua Jia, Xiao-Ou Shu, Yi Lin, Yoon-Ok Ahn, Zsofia K. Stadler, Bethany Van Guelpen, Cornelia M. Ulrich, Elizabeth A. Platz, John D. Potter, Christopher I. Li, Reinier Meester, Victor Moreno, Jane C. Figueiredo, Graham Casey, Iris Lansdorp Vogelaar, Malcolm G. Dunlop, Stephen B. Gruber, Richard B. Hayes, Paul D. P. Pharoah, Richard S. Houlston, Gail P. Jarvik, Ian P. Tomlinson, Wei Zheng, Douglas A. Corley, Ulrike Peters, and Li Hsu
Subjects: Science
Abstract: Abstract Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values
Published: 2023
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8. Increase in power by obtaining 10 or more controls per case when type-1 error is small in large-scale association studies

Author: Hormuzd A. Katki, Sonja I. Berndt, Mitchell J. Machiela, Douglas R. Stewart, Montserrat Garcia-Closas, Jung Kim, Jianxin Shi, Kai Yu, and Nathaniel Rothman
Subjects: Control selection, Multiple comparisons, Study design, Molecular epidemiology, Medicine (General), R5-920
Abstract: Abstract Background The rule of thumb that there is little gain in statistical power by obtaining more than 4 controls per case, is based on type-1 error α = 0.05. However, association studies that evaluate thousands or millions of associations use smaller α and may have access to plentiful controls. We investigate power gains, and reductions in p-values, when increasing well beyond 4 controls per case, for small α. Methods We calculate the power, the median expected p-value, and the minimum detectable odds-ratio (OR), as a function of the number of controls/case, as α decreases. Results As α decreases, at each ratio of controls per case, the increase in power is larger than for α = 0.05. For α between 10–6 and 10–9 (typical for thousands or millions of associations), increasing from 4 controls per case to 10–50 controls per case increases power. For example, a study with power = 0.2 (α = 5 × 10–8) with 1 control/case has power = 0.65 with 4 controls/case, but with 10 controls/case has power = 0.78, and with 50 controls/case has power = 0.84. For situations where obtaining more than 4 controls per case provides small increases in power beyond 0.9 (at small α), the expected p-value can decrease by orders-of-magnitude below α. Increasing from 1 to 4 controls/case reduces the minimum detectable OR toward the null by 20.9%, and from 4 to 50 controls/case reduces by an additional 9.7%, a result which applies regardless of α and hence also applies to “regular” α = 0.05 epidemiology. Conclusions At small α, versus 4 controls/case, recruiting 10 or more controls/cases can increase power, reduce the expected p-value by 1–2 orders of magnitude, and meaningfully reduce the minimum detectable OR. These benefits of increasing the controls/case ratio increase as the number of cases increases, although the amount of benefit depends on exposure frequencies and true OR. Provided that controls are comparable to cases, our findings suggest greater sharing of comparable controls in large-scale association studies.
Published: 2023
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9. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysisResearch in context

Author: James Yarmolinsky, Jamie W. Robinson, Daniela Mariosa, Ville Karhunen, Jian Huang, Niki Dimou, Neil Murphy, Kimberley Burrows, Emmanouil Bouras, Karl Smith-Byrne, Sarah J. Lewis, Tessel E. Galesloot, Lambertus A. Kiemeney, Sita Vermeulen, Paul Martin, Demetrius Albanes, Lifang Hou, Polly A. Newcomb, Emily White, Alicja Wolk, Anna H. Wu, Loïc Le Marchand, Amanda I. Phipps, Daniel D. Buchanan, Sizheng Steven Zhao, Dipender Gill, Stephen J. Chanock, Mark P. Purdue, George Davey Smith, Paul Brennan, Karl-Heinz Herzig, Marjo-Riitta Järvelin, Chris I. Amos, Rayjean J. Hung, Abbas Dehghan, Mattias Johansson, Marc J. Gunter, Kostas K. Tsilidis, Richard M. Martin, Maria Teresa Landi, Victoria Stevens, Ying Wang, Demetrios Albanes, Neil Caporaso, Christopher I. Amos, Sanjay Shete, Heike Bickeböller, Angela Risch, Richard Houlston, Stephen Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, H-Erich Wichmann, David Christiani, Gadi Rennert, Susanne Arnold, John K. Field, Loic Le Marchand, Olle Melander, Hans Brunnström, Geoffrey Liu, Angeline Andrew, Hongbing Shen, Shan Zienolddiny, Kjell Grankvist, Mikael Johansson, M. Dawn Teare, Yun-Chul Hong, Jian-Min Yuan, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Rosalind A. Eeles, Christopher A. Haiman, Zsofia Kote-Jarai, Fredrick R. Schumacher, Sara Benlloch, Ali Amin Al Olama, Kenneth R. Muir, Sonja I. Berndt, David V. Conti, Fredrik Wiklund, Stephen Chanock, Catherine M. Tangen, Jyotsna Batra, Judith A. Clements, Henrik Grönberg, Nora Pashayan, Johanna Schleutker, Stephanie J. Weinstein, Catharine M.L. West, Lorelei A. Mucci, Géraldine Cancel-Tassin, Stella Koutros, Karina Dalsgaard Sørensen, Eli Marie Grindedal, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Sue Ann Ingles, Barry S. Rosenstein, Yong-Jie Lu, Graham G. Giles, Robert J. MacInnis, Adam S. Kibel, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanfrod, Cezary Cybulski, Børge G. Nordestgaard, Sune F. Nielsen, Hermann Brenner, Christiane Maier, Christopher J. Logothetis, Esther M. John, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Jose Esteban Castelao, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, David J. Hunter, Peter Kraft, William J. Blot, and Elio Riboli
Subjects: Inflammation, Cancer, Mendelian randomization, Genetic epidemiology, Medicine, Medicine (General), R5-920
Abstract: Summary: 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 338,294 cancer cases and up to 1,238,345 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P 70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. Findings were replicated in the FinnGen study and then pooled using meta-analysis. Findings: 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, PPH4 = 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, PPH4 = 73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR: 0.66, 95% CI: 0.53–0.81, q-value = 0.067, PPH4 = 81.8%), 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, PPH4 = 85.6%). These findings were replicated in pooled analyses with the FinnGen study. Though suggestive evidence was found to support an association of macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR: 2.46, 95% CI: 1.48–4.10, q-value = 0.072, PPH4 = 76.1%), this finding was not replicated when pooled with the FinnGen study. 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. Interpretation: Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 4 circulating inflammatory markers in risk of 4 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. Funding: Cancer Research UK (C68933/A28534, C18281/A29019, PPRCPJT∖100005), World Cancer Research Fund (IIG_FULL_2020_022), National Institute for Health Research (NIHR202411, BRC-1215-20011), Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4), Academy of Finland Project 326291, European Union's Horizon 2020 grant agreement no. 848158 (EarlyCause), French National Cancer Institute (INCa SHSESP20, 2020-076), Versus Arthritis (21173, 21754, 21755), National Institutes of Health (U19 CA203654), National Cancer Institute (U19CA203654).
Published: 2024
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10. Impact of weight loss on cancer-related proteins in serum: results from a cluster randomised controlled trial of individuals with type 2 diabetesResearch in context

Author: Caroline J. Bull, Emma Hazelwood, Danny N. Legge, Laura J. Corbin, Tom G. Richardson, Matthew Lee, James Yarmolinsky, Karl Smith-Byrne, David A. Hughes, Mattias Johansson, Ulrike Peters, Sonja I. Berndt, Hermann Brenner, Andrea Burnett-Hartman, Iona Cheng, Sun-Seog Kweon, Loic Le Marchand, Li Li, Polly A. Newcomb, Rachel Pearlman, Alex McConnachie, Paul Welsh, Roy Taylor, Mike E.J. Lean, Naveed Sattar, Neil Murphy, Marc J. Gunter, Nicholas J. Timpson, and Emma E. Vincent
Subjects: Weight loss, DiRECT, Diabetes, Obesity, Cancer, Mendelian randomization, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Type 2 diabetes is associated with higher risk of several cancer types. However, the biological intermediates driving this relationship are not fully understood. As novel interventions for treating and managing type 2 diabetes become increasingly available, whether they also disrupt the pathways leading to increased cancer risk is currently unknown. We investigated the effect of a type 2 diabetes intervention, in the form of intentional weight loss, on circulating proteins associated with cancer risk to gain insight into potential mechanisms linking type 2 diabetes and adiposity with cancer development. Methods: Fasting serum samples from participants with diabetes enrolled in the Diabetes Remission Clinical Trial (DiRECT) receiving the Counterweight-Plus weight-loss programme (intervention, N = 117, mean weight-loss 10 kg, 46% diabetes remission) or best-practice care by guidelines (control, N = 143, mean weight-loss 1 kg, 4% diabetes remission) were subject to proteomic analysis using the Olink Oncology-II platform (48% of participants were female; 52% male). To identify proteins which may be altered by the weight-loss intervention, the difference in protein levels between groups at baseline and 1 year was examined using linear regression. Mendelian randomization (MR) was performed to extend these results to evaluate cancer risk and elucidate possible biological mechanisms linking type 2 diabetes and cancer development. MR analyses were conducted using independent datasets, including large cancer meta-analyses, UK Biobank, and FinnGen, to estimate potential causal relationships between proteins modified during intentional weight loss and the risk of colorectal, breast, endometrial, gallbladder, liver, and pancreatic cancers. Findings: Nine proteins were modified by the intervention: glycoprotein Nmb; furin; Wnt inhibitory factor 1; toll-like receptor 3; pancreatic prohormone; erb-b2 receptor tyrosine kinase 2; hepatocyte growth factor; endothelial cell specific molecule 1 and Ret proto-oncogene (Holm corrected P-value
Published: 2024
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11. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population

Author: Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu-Yu Chen, Juncheng Dai, Rayjean J. Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Maria Teresa Landi, Dongxin Lin, Wei Zheng, Zhihua Yin, Baosen Zhou, Bao Song, Jiucun Wang, Wei Jie Seow, Lei Song, I-Shou Chang, Wei Hu, Li-Hsin Chien, Qiuyin Cai, Yun-Chul Hong, Hee Nam Kim, Yi-Long Wu, Maria Pik Wong, Brian Douglas Richardson, Karen M. Funderburk, Shilan Li, Tongwu Zhang, Charles Breeze, Zhaoming Wang, Batel Blechter, Bryan A. Bassig, Jin Hee Kim, Demetrius Albanes, Jason Y. Y. Wong, Min-Ho Shin, Lap Ping Chung, Yang Yang, She-Juan An, Hong Zheng, Yasushi Yatabe, Xu-Chao Zhang, Young-Chul Kim, Neil E. Caporaso, Jiang Chang, James Chung Man Ho, Michiaki Kubo, Yataro Daigo, Minsun Song, Yukihide Momozawa, Yoichiro Kamatani, Masashi Kobayashi, Kenichi Okubo, Takayuki Honda, Dean H. Hosgood, Hideo Kunitoh, Harsh Patel, Shun-ichi Watanabe, Yohei Miyagi, Haruhiko Nakayama, Shingo Matsumoto, Hidehito Horinouchi, Masahiro Tsuboi, Ryuji Hamamoto, Koichi Goto, Yuichiro Ohe, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Megumi Hara, Yuichiro Nishida, Kenji Takeuchi, Kenji Wakai, Koichi Matsuda, Yoshinori Murakami, Kimihiro Shimizu, Hiroyuki Suzuki, Motonobu Saito, Yoichi Ohtaki, Kazumi Tanaka, Tangchun Wu, Fusheng Wei, Hongji Dai, Mitchell J. Machiela, Jian Su, Yeul Hong Kim, In-Jae Oh, Victor Ho Fun Lee, Gee-Chen Chang, Ying-Huang Tsai, Kuan-Yu Chen, Ming-Shyan Huang, Wu-Chou Su, Yuh-Min Chen, Adeline Seow, Jae Yong Park, Sun-Seog Kweon, Kun-Chieh Chen, Yu-Tang Gao, Biyun Qian, Chen Wu, Daru Lu, Jianjun Liu, Ann G. Schwartz, Richard Houlston, Margaret R. Spitz, Ivan P. Gorlov, Xifeng Wu, Ping Yang, Stephen Lam, Adonina Tardon, Chu Chen, Stig E. Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, Bu-Tian Ji, H-Erich Wichmann, David C. Christiani, Gadi Rennert, Susanne Arnold, Paul Brennan, James McKay, John K. Field, Sanjay S. Shete, Loic Le Marchand, Geoffrey Liu, Angeline Andrew, Lambertus A. Kiemeney, Shan Zienolddiny-Narui, Kjell Grankvist, Mikael Johansson, Angela Cox, Fiona Taylor, Jian-Min Yuan, Philip Lazarus, Matthew B. Schabath, Melinda C. Aldrich, Hyo-Sung Jeon, Shih Sheng Jiang, Jae Sook Sung, Chung-Hsing Chen, Chin-Fu Hsiao, Yoo Jin Jung, Huan Guo, Zhibin Hu, Laurie Burdett, Meredith Yeager, Amy Hutchinson, Belynda Hicks, Jia Liu, Bin Zhu, Sonja I. Berndt, Wei Wu, Junwen Wang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Li Liu, Chang Hyun Kang, Wen-Chang Wang, Jun Xu, Peng Guan, Wen Tan, Chong-Jen Yu, Gong Yang, Alan Dart Loon Sihoe, Ying Chen, Yi Young Choi, Jun Suk Kim, Ho-Il Yoon, In Kyu Park, Ping Xu, Qincheng He, Chih-Liang Wang, Hsiao-Han Hung, Roel C. H. Vermeulen, Iona Cheng, Junjie Wu, Wei-Yen Lim, Fang-Yu Tsai, John K. C. Chan, Jihua Li, Hongyan Chen, Hsien-Chih Lin, Li Jin, Jie Liu, Norie Sawada, Taiki Yamaji, Kathleen Wyatt, Shengchao A. Li, Hongxia Ma, Meng Zhu, Zhehai Wang, Sensen Cheng, Xuelian Li, Yangwu Ren, Ann Chao, Motoki Iwasaki, Junjie Zhu, Gening Jiang, Ke Fei, Guoping Wu, Chih-Yi Chen, Chien-Jen Chen, Pan-Chyr Yang, Jinming Yu, Victoria L. Stevens, Joseph F. Fraumeni, Nilanjan Chatterjee, Olga Y. Gorlova, Chao Agnes Hsiung, Christopher I. Amos, Hongbing Shen, Stephen J. Chanock, Nathaniel Rothman, Takashi Kohno, and Qing Lan
Subjects: Science
Abstract: Abstract Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.
Published: 2023
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12. A metabolomic investigation of serum perfluorooctane sulfonate and perfluorooctanoate

Author: Jongeun Rhee, Erikka Loftfield, Demetrius Albanes, Tracy M. Layne, Rachael Stolzenberg-Solomon, Linda M. Liao, Mary C. Playdon, Sonja I. Berndt, Joshua N. Sampson, Neal D. Freedman, Steven C. Moore, and Mark P. Purdue
Subjects: Metabolomics, Per- and polyfluoroalkyl substances, Perfluorooctane sulfonate, Perfluorooctanoate, Environmental sciences, GE1-350
Abstract: Background: Exposures to perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA), environmentally persistent chemicals detectable in the blood of most Americans, have been associated with several health outcomes. To offer insight into their possible biologic effects, we evaluated the metabolomic correlates of circulating PFOS and PFOA among 3,647 participants in eight nested case-control serum metabolomic profiling studies from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Methods: Metabolomic profiling was conducted by Metabolon Inc., using ultra high-performance liquid chromatography/tandem accurate mass spectrometry. We conducted study-specific multivariable linear regression analyses estimating the associations of metabolite levels with levels of PFOS or PFOA. For metabolites measured in at least 3 of 8 nested case-control studies, random effects meta-analysis was used to summarize study-specific results (1,038 metabolites in PFOS analyses and 1,100 in PFOA analyses). Results: The meta-analysis identified 51 and 38 metabolites associated with PFOS and PFOA, respectively, at a Bonferroni-corrected significance level (4.8x10-5 and 4.6x10-5, respectively). For both PFOS and PFOA, the most common types of associated metabolites were lipids (sphingolipids, fatty acid metabolites) and xenobiotics (xanthine metabolites, chemicals). Positive associations were commonly observed with lipid metabolites sphingomyelin (d18:1/18:0) (P = 2.0x10-10 and 2.0x10-8, respectively), 3-carboxy-4-methyl-5-pentyl-2-furanpropionate (P = 2.7x10-15, 1.1x10-17), and lignoceroylcarnitine (C24) (P = 2.6x10-8, 6.2x10-6). The strongest positive associations were observed for chemicals 3,5-dichloro-2,6-dihydroxybenzoic acid (P = 3.0x10-112 and 6.8x10-13, respectively) and 3-bromo-5-chloro-2,6-dihydroxybenzoic acid (P = 1.6x10-14, 2.3x10-6). Other metabolites positively associated with PFOS included D-glucose (carbohydrate), carotene diol (vitamin A metabolism), and L-alpha-aminobutyric acid (glutathione metabolism), while uric acid (purine metabolite) was positively associated with PFOA. PFOS associations were consistent even after adjusting for PFOA as a covariate, while PFOA associations were greatly attenuated with PFOS adjustment. Conclusions: In this large metabolomic study, we observed robust positive associations with PFOS for several molecules. Further investigation of these metabolites may offer insight into PFOS-related biologic effects.
Published: 2023
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13. GWAS Explorer: an open-source tool to explore, visualize, and access GWAS summary statistics in the PLCO Atlas

Author: Mitchell J. Machiela, Wen-Yi Huang, Wendy Wong, Sonja I. Berndt, Joshua Sampson, Jonas De Almeida, Mustapha Abubakar, Jada Hislop, Kai-Ling Chen, Casey Dagnall, Norma Diaz-Mayoral, Mary Ferrell, Michael Furr, Alex Gonzalez, Belynda Hicks, Aubrey K. Hubbard, Amy Hutchinson, Kevin Jiang, Kristine Jones, Jia Liu, Erikka Loftfield, Jennifer Loukissas, Jerome Mabie, Shannon Merkle, Eric Miller, Lori M. Minasian, Ellen Nordgren, Brian Park, Paul Pinsky, Thomas Riley, Lorena Sandoval, Neeraj Saxena, Aurelie Vogt, Jiahui Wang, Craig Williams, Patrick Wright, Meredith Yeager, Bin Zhu, Claire Zhu, Stephen J. Chanock, Montserrat Garcia-Closas, and Neal D. Freedman
Subjects: Science
Abstract: Abstract The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial is a prospective cohort study of nearly 155,000 U.S. volunteers aged 55–74 at enrollment in 1993–2001. We developed the PLCO Atlas Project, a large resource for multi-trait genome-wide association studies (GWAS), by genotyping participants with available DNA and genomic consent. Genotyping on high-density arrays and imputation was performed, and GWAS were conducted using a custom semi-automated pipeline. Association summary statistics were generated from a total of 110,562 participants of European, African and Asian ancestry. Application programming interfaces (APIs) and open-source software development kits (SKDs) enable exploring, visualizing and open data access through the PLCO Atlas GWAS Explorer website, promoting Findable, Accessible, Interoperable, and Re-usable (FAIR) principles. Currently the GWAS Explorer hosts association data for 90 traits and >78,000,000 genomic markers, focusing on cancer and cancer-related phenotypes. New traits will be posted as association data becomes available. The PLCO Atlas is a FAIR resource of high-quality genetic and phenotypic data with many potential reuse opportunities for cancer research and genetic epidemiology.
Published: 2023
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14. Diversity in EWAS: current state, challenges, and solutions

Author: Charles E. Breeze, Jason Y. Y. Wong, Stephan Beck, Sonja I. Berndt, and Nora Franceschini
Subjects: Medicine, Genetics, QH426-470
Abstract: Abstract Here, we report a lack of diversity in epigenome-wide association studies (EWAS) and DNA methylation (DNAm) data, discuss current challenges, and propose solutions for EWAS and DNAm research in diverse populations. The strategies we propose include fostering community involvement, new data generation, and cost-effective approaches such as locus-specific analysis and ancestry variable region analysis.
Published: 2022
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15. Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures

Author: Peter Georgeson, Tabitha A. Harrison, Bernard J. Pope, Syed H. Zaidi, Conghui Qu, Robert S. Steinfelder, Yi Lin, Jihoon E. Joo, Khalid Mahmood, Mark Clendenning, Romy Walker, Efrat L. Amitay, Sonja I. Berndt, Hermann Brenner, Peter T. Campbell, Yin Cao, Andrew T. Chan, Jenny Chang-Claude, Kimberly F. Doheny, David A. Drew, Jane C. Figueiredo, Amy J. French, Steven Gallinger, Marios Giannakis, Graham G. Giles, Andrea Gsur, Marc J. Gunter, Michael Hoffmeister, Li Hsu, Wen-Yi Huang, Paul Limburg, JoAnn E. Manson, Victor Moreno, Rami Nassir, Jonathan A. Nowak, Mireia Obón-Santacana, Shuji Ogino, Amanda I. Phipps, John D. Potter, Robert E. Schoen, Wei Sun, Amanda E. Toland, Quang M. Trinh, Tomotaka Ugai, Finlay A. Macrae, Christophe Rosty, Thomas J. Hudson, Mark A. Jenkins, Stephen N. Thibodeau, Ingrid M. Winship, Ulrike Peters, and Daniel D. Buchanan
Subjects: Science
Abstract: Germline biallelic pathogenic MUTYH variants predispose patients to colorectal cancer (CRC); however, approaches to identify MUTYH variant carriers are lacking. Here, the authors evaluated mutational signatures that could distinguish MUTYH carriers in large CRC cohorts, and found MUTYH-associated somatic mutations.
Published: 2022
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16. The association between genetically elevated polyunsaturated fatty acids and risk of cancerResearch in context

Author: Philip C. Haycock, Maria Carolina Borges, Kimberley Burrows, Rozenn N. Lemaitre, Stephen Burgess, Nikhil K. Khankari, Konstantinos K. Tsilidis, Tom R. Gaunt, Gibran Hemani, Jie Zheng, Therese Truong, Brenda M. Birmann, Tracy OMara, Amanda B. Spurdle, Mark M. Iles, Matthew H. Law, Susan L. Slager, Fatemeh Saberi Hosnijeh, Daniela Mariosa, Michelle Cotterchio, James R. Cerhan, Ulrike Peters, Stefan Enroth, Puya Gharahkhani, Loic Le Marchand, Ann C. Williams, Robert C. Block, Christopher I. Amos, Rayjean J. Hung, Wei Zheng, Marc J. Gunter, George Davey Smith, Caroline Relton, Richard M. Martin, Nathan Tintle, Terri Rice, Iona Cheng, Mark Jenkins, Steve Gallinger, Alex J. Cornish, Amit Sud, Jayaram Vijayakrishnan, Margaret Wrensch, Mattias Johansson, Aaron D. Norman, Alison Klein, Alyssa Clay-Gilmour, Andre Franke, Andres V. Ardisson Korat, Bill Wheeler, Björn Nilsson, Caren Smith, Chew-Kiat Heng, Ci Song, David Riadi, Elizabeth B. Claus, Eva Ellinghaus, Evgenia Ostroumova, Hosnijeh, Florent de Vathaire, Giovanni Cugliari, Giuseppe Matullo, Irene Oi-Lin Ng, Jeanette E. Passow, Jia Nee Foo, Jiali Han, Jianjun Liu, Jill Barnholtz-Sloan, Joellen M. Schildkraut, John Maris, Joseph L. Wiemels, Kari Hemminki, Keming Yang, Lambertus A. Kiemeney, Lang Wu, Laufey Amundadottir, Marc-Henri Stern, Marie-Christine Boutron, Mark Martin Iles, Mark P. Purdue, Martin Stanulla, Melissa Bondy, Mia Gaudet, Lenha Mobuchon, Nicola J. Camp, Pak Chung Sham, Pascal Guénel, Paul Brennan, Philip R. Taylor, Quinn Ostrom, Rachael Stolzenberg-Solomon, Rajkumar Dorajoo, Richard Houlston, Robert B. Jenkins, Sharon Diskin, Sonja I. Berndt, Spiridon Tsavachidis, Stephen J. Channock, Tabitha Harrison, Tessel Galesloot, Ulf Gyllensten, Vijai Joseph, Y. Shi, Wenjian Yang, Yi Lin, and Stephen K. Van Den Eeden
Subjects: Mendelian randomization, Cancer risk, Polyunsaturated fatty acids, Omega 3, Omega 6, Delta-5 desaturase, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: The causal relevance of polyunsaturated fatty acids (PUFAs) for risk of site-specific cancers remains uncertain. Methods: Using a Mendelian randomization (MR) framework, we assessed the causal relevance of PUFAs for risk of cancer in European and East Asian ancestry individuals. We defined the primary exposure as PUFA desaturase activity, proxied by rs174546 at the FADS locus. Secondary exposures were defined as omega 3 and omega 6 PUFAs that could be proxied by genetic polymorphisms outside the FADS region. Our study used summary genetic data on 10 PUFAs and 67 cancers, corresponding to 562,871 cases and 1,619,465 controls, collected by the Fatty Acids in Cancer Mendelian Randomization Collaboration. We estimated odds ratios (ORs) for cancer per standard deviation increase in genetically proxied PUFA exposures. Findings: Genetically elevated PUFA desaturase activity was associated (P
Published: 2023
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17. Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations

Author: Charles E. Breeze, Eric Haugen, Alex Reynolds, Andrew Teschendorff, Jenny van Dongen, Qing Lan, Nathaniel Rothman, Guillaume Bourque, Ian Dunham, Stephan Beck, John Stamatoyannopoulos, Nora Franceschini, and Sonja I. Berndt
Subjects: Biology (General), QH301-705.5, Genetics, QH426-470
Abstract: Abstract Background Genome-wide association study (GWAS) single nucleotide polymorphisms (SNPs) are known to preferentially co-locate to active regulatory elements in tissues and cell types relevant to disease aetiology. Further characterisation of associated cell type-specific regulation can broaden our understanding of how GWAS signals may contribute to disease risk. Results To gain insight into potential functional mechanisms underlying GWAS associations, we developed FORGE2 ( https://forge2.altiusinstitute.org/ ), which is an updated version of the FORGE web tool. FORGE2 uses an expanded atlas of cell type-specific regulatory element annotations, including DNase I hotspots, five histone mark categories and 15 hidden Markov model (HMM) chromatin states, to identify tissue- and cell type-specific signals. An analysis of 3,604 GWAS from the NHGRI-EBI GWAS catalogue yielded at least one significant disease/trait-tissue association for 2,057 GWAS, including > 400 associations specific to epigenomic marks in immune tissues and cell types, > 30 associations specific to heart tissue, and > 60 associations specific to brain tissue, highlighting the key potential of tissue- and cell type-specific regulatory elements. Importantly, we demonstrate that FORGE2 analysis can separate previously observed accessible chromatin enrichments into different chromatin states, such as enhancers or active transcription start sites, providing a greater understanding of underlying regulatory mechanisms. Interestingly, tissue-specific enrichments for repressive chromatin states and histone marks were also detected, suggesting a role for tissue-specific repressed regions in GWAS-mediated disease aetiology. Conclusion In summary, we demonstrate that FORGE2 has the potential to uncover previously unreported disease-tissue associations and identify new candidate mechanisms. FORGE2 is a transparent, user-friendly web tool for the integrative analysis of loci discovered from GWAS.
Published: 2022
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18. Epigenome-wide association study of kidney function identifies trans-ethnic and ethnic-specific loci

Author: Charles E. Breeze, Anna Batorsky, Mi Kyeong Lee, Mindy D. Szeto, Xiaoguang Xu, Daniel L. McCartney, Rong Jiang, Amit Patki, Holly J. Kramer, James M. Eales, Laura Raffield, Leslie Lange, Ethan Lange, Peter Durda, Yongmei Liu, Russ P. Tracy, David Van Den Berg, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed MESA Multi-Omics Working Group, Kathryn L. Evans, William E. Kraus, Svati Shah, Hermant K. Tiwari, Lifang Hou, Eric A. Whitsel, Xiao Jiang, Fadi J. Charchar, Andrea A. Baccarelli, Stephen S. Rich, Andrew P. Morris, Marguerite R. Irvin, Donna K. Arnett, Elizabeth R. Hauser, Jerome I. Rotter, Adolfo Correa, Caroline Hayward, Steve Horvath, Riccardo E. Marioni, Maciej Tomaszewski, Stephan Beck, Sonja I. Berndt, Stephanie J. London, Josyf C. Mychaleckyj, and Nora Franceschini
Subjects: Epigenetic, Kidney function, Gene regulation, Kidney development, DNA methylation, Medicine, Genetics, QH426-470
Abstract: Abstract Background DNA methylation (DNAm) is associated with gene regulation and estimated glomerular filtration rate (eGFR), a measure of kidney function. Decreased eGFR is more common among US Hispanics and African Americans. The causes for this are poorly understood. We aimed to identify trans-ethnic and ethnic-specific differentially methylated positions (DMPs) associated with eGFR using an agnostic, genome-wide approach. Methods The study included up to 5428 participants from multi-ethnic studies for discovery and 8109 participants for replication. We tested the associations between whole blood DNAm and eGFR using beta values from Illumina 450K or EPIC arrays. Ethnicity-stratified analyses were performed using linear mixed models adjusting for age, sex, smoking, and study-specific and technical variables. Summary results were meta-analyzed within and across ethnicities. Findings were assessed using integrative epigenomics methods and pathway analyses. Results We identified 93 DMPs associated with eGFR at an FDR of 0.05 and replicated 13 and 1 DMPs across independent samples in trans-ethnic and African American meta-analyses, respectively. The study also validated 6 previously published DMPs. Identified DMPs showed significant overlap enrichment with DNase I hypersensitive sites in kidney tissue, sites associated with the expression of proximal genes, and transcription factor motifs and pathways associated with kidney tissue and kidney development. Conclusions We uncovered trans-ethnic and ethnic-specific DMPs associated with eGFR, including DMPs enriched in regulatory elements in kidney tissue and pathways related to kidney development. These findings shed light on epigenetic mechanisms associated with kidney function, bridging the gap between population-specific eGFR-associated DNAm and tissue-specific regulatory context.
Published: 2021
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19. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization

Author: Esther Clavero, José Manuel Sanchez-Maldonado, Angelica Macauda, Rob Ter Horst, Belém Sampaio-Marques, Artur Jurczyszyn, Alyssa Clay-Gilmour, Angelika Stein, Michelle A. T. Hildebrandt, Niels Weinhold, Gabriele Buda, Ramón García-Sanz, Waldemar Tomczak, Ulla Vogel, Andrés Jerez, Daria Zawirska, Marzena Wątek, Jonathan N. Hofmann, Stefano Landi, John J. Spinelli, Aleksandra Butrym, Abhishek Kumar, Joaquín Martínez-López, Sara Galimberti, María Eugenia Sarasquete, Edyta Subocz, Elzbieta Iskierka-Jażdżewska, Graham G. Giles, Malwina Rybicka-Ramos, Marcin Kruszewski, Niels Abildgaard, Francisco García Verdejo, Pedro Sánchez Rovira, Miguel Inacio da Silva Filho, Katalin Kadar, Małgorzata Razny, Wendy Cozen, Matteo Pelosini, Manuel Jurado, Parveen Bhatti, Marek Dudzinski, Agnieszka Druzd-Sitek, Enrico Orciuolo, Yang Li, Aaron D. Norman, Jan Maciej Zaucha, Rui Manuel Reis, Miroslaw Markiewicz, Juan José Rodríguez Sevilla, Vibeke Andersen, Krzysztof Jamroziak, Kari Hemminki, Sonja I. Berndt, Vicent Rajkumar, Grzegorz Mazur, Shaji K. Kumar, Paula Ludovico, Arnon Nagler, Stephen J. Chanock, Charles Dumontet, Mitchell J. Machiela, Judit Varkonyi, Nicola J. Camp, Elad Ziv, Annette Juul Vangsted, Elizabeth E. Brown, Daniele Campa, Celine M. Vachon, Mihai G. Netea, Federico Canzian, Asta Försti, and Juan Sainz
Subjects: multiple myeloma, autophagy, genetic variants, genetic susceptibility, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract: Multiple myeloma (MM) arises following malignant proliferation of plasma cells in the bone marrow, that secrete high amounts of specific monoclonal immunoglobulins or light chains, resulting in the massive production of unfolded or misfolded proteins. Autophagy can have a dual role in tumorigenesis, by eliminating these abnormal proteins to avoid cancer development, but also ensuring MM cell survival and promoting resistance to treatments. To date no studies have determined the impact of genetic variation in autophagy-related genes on MM risk. We performed meta-analysis of germline genetic data on 234 autophagy-related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined correlations of statistically significant single nucleotide polymorphisms (SNPs; p < 1 × 10−9) with immune responses in whole blood, peripheral blood mononuclear cells (PBMCs), and monocyte-derived macrophages (MDM) from a large population of healthy donors from the Human Functional Genomic Project (HFGP). We identified SNPs in six loci, CD46, IKBKE, PARK2, ULK4, ATG5, and CDKN2A associated with MM risk (p = 4.47 × 10−4−5.79 × 10−14). Mechanistically, we found that the ULK4rs6599175 SNP correlated with circulating concentrations of vitamin D3 (p = 4.0 × 10−4), whereas the IKBKErs17433804 SNP correlated with the number of transitional CD24+CD38+ B cells (p = 4.8 × 10−4) and circulating serum concentrations of Monocyte Chemoattractant Protein (MCP)-2 (p = 3.6 × 10−4). We also found that the CD46rs1142469 SNP correlated with numbers of CD19+ B cells, CD19+CD3− B cells, CD5+IgD− cells, IgM− cells, IgD−IgM− cells, and CD4−CD8− PBMCs (p = 4.9 × 10−4−8.6 × 10−4) and circulating concentrations of interleukin (IL)-20 (p = 0.00082). Finally, we observed that the CDKN2Ars2811710 SNP correlated with levels of CD4+EMCD45RO+CD27− cells (p = 9.3 × 10−4). These results suggest that genetic variants within these six loci influence MM risk through the modulation of specific subsets of immune cells, as well as vitamin D3−, MCP-2−, and IL20-dependent pathways.
Published: 2023
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20. Do GWAS-Identified Risk Variants for Chronic Lymphocytic Leukemia Influence Overall Patient Survival and Disease Progression?

Author: Antonio José Cabrera-Serrano, José Manuel Sánchez-Maldonado, Rob ter Horst, Angelica Macauda, Paloma García-Martín, Yolanda Benavente, Stefano Landi, Alyssa Clay-Gilmour, Yasmeen Niazi, Blanca Espinet, Juan José Rodríguez-Sevilla, Eva María Pérez, Rossana Maffei, Gonzalo Blanco, Matteo Giaccherini, James R. Cerhan, Roberto Marasca, Miguel Ángel López-Nevot, Tzu Chen-Liang, Hauke Thomsen, Irene Gámez, Daniele Campa, Víctor Moreno, Silvia de Sanjosé, Rafael Marcos-Gragera, María García-Álvarez, Trinidad Dierssen-Sotos, Andrés Jerez, Aleksandra Butrym, Aaron D. Norman, Mario Luppi, Susan L. Slager, Kari Hemminki, Yang Li, Sonja I. Berndt, Delphine Casabonne, Miguel Alcoceba, Anna Puiggros, Mihai G. Netea, Asta Försti, Federico Canzian, and Juan Sainz
Subjects: chronic lymphocytic leukemia, overall survival, TTFT, genetic variants, susceptibility, polygenic risk score, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract: Chronic lymphocytic leukemia (CLL) is the most common leukemia among adults worldwide. Although genome-wide association studies (GWAS) have uncovered the germline genetic component underlying CLL susceptibility, the potential use of GWAS-identified risk variants to predict disease progression and patient survival remains unexplored. Here, we evaluated whether 41 GWAS-identified risk variants for CLL could influence overall survival (OS) and disease progression, defined as time to first treatment (TTFT) in a cohort of 1039 CLL cases ascertained through the CRuCIAL consortium. Although this is the largest study assessing the effect of GWAS-identified susceptibility variants for CLL on OS, we only found a weak association of ten single nucleotide polymorphisms (SNPs) with OS (p < 0.05) that did not remain significant after correction for multiple testing. In line with these results, polygenic risk scores (PRSs) built with these SNPs in the CRuCIAL cohort showed a modest association with OS and a low capacity to predict patient survival, with an area under the receiver operating characteristic curve (AUROC) of 0.57. Similarly, seven SNPs were associated with TTFT (p < 0.05); however, these did not reach the multiple testing significance threshold, and the meta-analysis with previous published data did not confirm any of the associations. As expected, PRSs built with these SNPs showed reduced accuracy in prediction of disease progression (AUROC = 0.62). These results suggest that susceptibility variants for CLL do not impact overall survival and disease progression in CLL patients.
Published: 2023
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21. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Author: Minh-Phuong Huynh-Le, Chun Chieh Fan, Roshan Karunamuni, Wesley K. Thompson, Maria Elena Martinez, Rosalind A. Eeles, Zsofia Kote-Jarai, Kenneth Muir, Johanna Schleutker, Nora Pashayan, Jyotsna Batra, Henrik Grönberg, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Sune F. Nielsen, Børge G. Nordestgaard, Fredrik Wiklund, Catherine M. Tangen, Graham G. Giles, Alicja Wolk, Demetrius Albanes, Ruth C. Travis, William J. Blot, Wei Zheng, Maureen Sanderson, Janet L. Stanford, Lorelei A. Mucci, Catharine M. L. West, Adam S. Kibel, Olivier Cussenot, Sonja I. Berndt, Stella Koutros, Karina Dalsgaard Sørensen, Cezary Cybulski, Eli Marie Grindedal, Florence Menegaux, Kay-Tee Khaw, Jong Y. Park, Sue A. Ingles, Christiane Maier, Robert J. Hamilton, Stephen N. Thibodeau, Barry S. Rosenstein, Yong-Jie Lu, Stephen Watya, Ana Vega, Manolis Kogevinas, Kathryn L. Penney, Chad Huff, Manuel R. Teixeira, Luc Multigner, Robin J. Leach, Lisa Cannon-Albright, Hermann Brenner, Esther M. John, Radka Kaneva, Christopher J. Logothetis, Susan L. Neuhausen, Kim De Ruyck, Hardev Pandha, Azad Razack, Lisa F. Newcomb, Jay H. Fowke, Marija Gamulin, Nawaid Usmani, Frank Claessens, Manuela Gago-Dominguez, Paul A. Townsend, William S. Bush, Monique J. Roobol, Marie-Élise Parent, Jennifer J. Hu, Ian G. Mills, Ole A. Andreassen, Anders M. Dale, Tyler M. Seibert, UKGPCS collaborators, APCB (Australian Prostate Cancer BioResource), NC-LA PCaP Investigators, The IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, The Profile Study Steering Committee, and The PRACTICAL Consortium
Subjects: Science
Abstract: A polygenic hazard score (PHS1) improves prostate cancer screening accuracy in European patients. Here, the authors test the performance of a version compatible with OncoArray genotypes (PHS2) in a multi-ethnic dataset and find that it risk-stratifies men for any, aggressive, and fatal prostate cancer.
Published: 2021
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22. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study

Author: Caroline J. Bull, Joshua A. Bell, Neil Murphy, Eleanor Sanderson, George Davey Smith, Nicholas J. Timpson, Barbara L. Banbury, Demetrius Albanes, Sonja I. Berndt, Stéphane Bézieau, D. Timothy Bishop, Hermann Brenner, Daniel D. Buchanan, Andrea Burnett-Hartman, Graham Casey, Sergi Castellví-Bel, Andrew T. Chan, Jenny Chang-Claude, Amanda J. Cross, Albert de la Chapelle, Jane C. Figueiredo, Steven J. Gallinger, Susan M. Gapstur, Graham G. Giles, Stephen B. Gruber, Andrea Gsur, Jochen Hampe, Heather Hampel, Tabitha A. Harrison, Michael Hoffmeister, Li Hsu, Wen-Yi Huang, Jeroen R. Huyghe, Mark A. Jenkins, Corinne E. Joshu, Temitope O. Keku, Tilman Kühn, Sun-Seog Kweon, Loic Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Vicente Martín, Anne M. May, Roger L. Milne, Victor Moreno, Polly A. Newcomb, Kenneth Offit, Shuji Ogino, Amanda I. Phipps, Elizabeth A. Platz, John D. Potter, Conghui Qu, J. Ramón Quirós, Gad Rennert, Elio Riboli, Lori C. Sakoda, Clemens Schafmayer, Robert E. Schoen, Martha L. Slattery, Catherine M. Tangen, Kostas K. Tsilidis, Cornelia M. Ulrich, Fränzel J. B. van Duijnhoven, Bethany van Guelpen, Kala Visvanathan, Pavel Vodicka, Ludmila Vodickova, Hansong Wang, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Peter T. Campbell, Wei Zheng, Ulrike Peters, Emma E. Vincent, and Marc J. Gunter
Subjects: Body mass index, Waist-to-hip ratio, Colorectal cancer, Mendelian randomization, Metabolism, NMR, Medicine
Abstract: Abstract Background Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. Methods We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. Results In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative metabolite classes, e.g., the univariable IVW OR for BMI with CRC was 1.12 (95% CI = 1.00, 1.26), and this became 1.11 (95% CI = 0.99, 1.26) when adjusting for cholesterol in low-density lipoprotein particles. Conclusions Our results suggest that higher BMI more greatly raises CRC risk among men, whereas higher WHR more greatly raises CRC risk among women. Adiposity was associated with numerous metabolic alterations, but none of these explained associations between adiposity and CRC. More detailed metabolomic measures are likely needed to clarify the mechanistic pathways.
Published: 2020
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23. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

Author: Nazlisadat Seyed Khoei, Mazda Jenab, Neil Murphy, Barbara L. Banbury, Robert Carreras-Torres, Vivian Viallon, Tilman Kühn, Bas Bueno-de-Mesquita, Krasimira Aleksandrova, Amanda J. Cross, Elisabete Weiderpass, Magdalena Stepien, Andrew Bulmer, Anne Tjønneland, Marie-Christine Boutron-Ruault, Gianluca Severi, Franck Carbonnel, Verena Katzke, Heiner Boeing, Manuela M. Bergmann, Antonia Trichopoulou, Anna Karakatsani, Georgia Martimianaki, Domenico Palli, Giovanna Tagliabue, Salvatore Panico, Rosario Tumino, Carlotta Sacerdote, Guri Skeie, Susana Merino, Catalina Bonet, Miguel Rodríguez-Barranco, Leire Gil, Maria-Dolores Chirlaque, Eva Ardanaz, Robin Myte, Johan Hultdin, Aurora Perez-Cornago, Dagfinn Aune, Konstantinos K. Tsilidis, Demetrius Albanes, John A. Baron, Sonja I. Berndt, Stéphane Bézieau, Hermann Brenner, Peter T. Campbell, Graham Casey, Andrew T. Chan, Jenny Chang-Claude, Stephen J. Chanock, Michelle Cotterchio, Steven Gallinger, Stephen B. Gruber, Robert W. Haile, Jochen Hampe, Michael Hoffmeister, John L. Hopper, Li Hsu, Jeroen R. Huyghe, Mark A. Jenkins, Amit D. Joshi, Ellen Kampman, Susanna C. Larsson, Loic Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Noralane M. Lindor, Vicente Martín, Victor Moreno, Polly A. Newcomb, Kenneth Offit, Shuji Ogino, Patrick S. Parfrey, Paul D. P. Pharoah, Gad Rennert, Lori C. Sakoda, Clemens Schafmayer, Stephanie L. Schmit, Robert E. Schoen, Martha L. Slattery, Stephen N. Thibodeau, Cornelia M. Ulrich, Franzel J. B. van Duijnhoven, Korbinian Weigl, Stephanie J. Weinstein, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Xuehong Zhang, Pietro Ferrari, Gabriele Anton, Annette Peters, Ulrike Peters, Marc J. Gunter, Karl-Heinz Wagner, and Heinz Freisling
Subjects: Bilirubin, Cancer, Colorectal cancer, Anti-oxidants, Mendelian randomization analysis, Medicine
Abstract: 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
Published: 2020
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24. Increased frequency of intentional weight loss associated with reduced mortality: a prospective cohort analysis

Author: Erik A. Willis, Wen-Yi Huang, Pedro F. Saint-Maurice, Michael F. Leitzmann, Elizabeth A. Salerno, Charles E. Matthews, and Sonja I. Berndt
Subjects: Obesity, Weight loss, Mortality, Prospective cohort, Medicine
Abstract: Abstract Background Due to the high prevalence of obesity and the difficulty in maintaining weight loss, repeated bouts of weight loss are a common occurrence. However, there are inconsistencies in epidemiological studies regarding repetitive weight fluctuations being associated with increased risk of mortality. Therefore, the purpose of this prospective cohort analysis was to determine the long-term association of the frequency of weight loss attempts on mortality. Methods This prospective cohort study used data collected from adult AARP members living in 6 states (California, Florida, Louisiana, New Jersey, North Carolina, or Pennsylvania) or 2 metropolitan areas (Atlanta, Georgia, or Detroit, Michigan) and participating in the National Institutes of Health–AARP Diet and Health Study between 2004 and 2006. Self-reported data were analyzed for 161,738 middle-aged adults. During an average 7 years of follow-up, 21,194 deaths were recorded. Hazard ratios of all-cause, cardiovascular, and cancer mortality were estimated adjusting for demographic, lifestyle, and behavioral risk factors. Results Increased frequency of weight loss attempts of at least five pounds was associated with lower mortality (p trend
Published: 2020
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25. Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival

Author: Syed H. Zaidi, Tabitha A. Harrison, Amanda I. Phipps, Robert Steinfelder, Quang M. Trinh, Conghui Qu, Barbara L. Banbury, Peter Georgeson, Catherine S. Grasso, Marios Giannakis, Jeremy B. Adams, Elizabeth Alwers, Efrat L. Amitay, Richard T. Barfield, Sonja I. Berndt, Ivan Borozan, Hermann Brenner, Stefanie Brezina, Daniel D. Buchanan, Yin Cao, Andrew T. Chan, Jenny Chang-Claude, Charles M. Connolly, David A. Drew, Alton Brad Farris, Jane C. Figueiredo, Amy J. French, Charles S. Fuchs, Levi A. Garraway, Steve Gruber, Mark A. Guinter, Stanley R. Hamilton, Sophia Harlid, Lawrence E. Heisler, Akihisa Hidaka, John L. Hopper, Wen-Yi Huang, Jeroen R. Huyghe, Mark A. Jenkins, Paul M. Krzyzanowski, Mathieu Lemire, Yi Lin, Xuemei Luo, Elaine R. Mardis, John D. McPherson, Jessica K. Miller, Victor Moreno, Xinmeng Jasmine Mu, Reiko Nishihara, Nickolas Papadopoulos, Danielle Pasternack, Michael J. Quist, Adilya Rafikova, Emma E. G. Reid, Eve Shinbrot, Brian H. Shirts, Lincoln D. Stein, Cherie D. Teney, Lee Timms, Caroline Y. Um, Bethany Van Guelpen, Megan Van Tassel, Xiaolong Wang, David A. Wheeler, Christina K. Yung, Li Hsu, Shuji Ogino, Andrea Gsur, Polly A. Newcomb, Steven Gallinger, Michael Hoffmeister, Peter T. Campbell, Stephen N. Thibodeau, Wei Sun, Thomas J. Hudson, and Ulrike Peters
Subjects: Science
Abstract: Large scale sequencing study is of paramount importance to unravel the heterogeneity of colorectal cancer. Here, the authors sequenced 205 cancer genes in more than 2000 tumours and identified additional mutated driver genes, determined that mutational burden and specific mutations in TP53 are associated with survival odds.
Published: 2020
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26. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

Author: Yan Dora Zhang, Amber N. Hurson, Haoyu Zhang, Parichoy Pal Choudhury, Douglas F. Easton, Roger L. Milne, Jacques Simard, Per Hall, Kyriaki Michailidou, Joe Dennis, Marjanka K. Schmidt, Jenny Chang-Claude, Puya Gharahkhani, David Whiteman, Peter T. Campbell, Michael Hoffmeister, Mark Jenkins, Ulrike Peters, Li Hsu, Stephen B. Gruber, Graham Casey, Stephanie L. Schmit, Tracy A. O’Mara, Amanda B. Spurdle, Deborah J. Thompson, Ian Tomlinson, Immaculata De Vivo, Maria Teresa Landi, Matthew H. Law, Mark M. Iles, Florence Demenais, Rajiv Kumar, Stuart MacGregor, D. Timothy Bishop, Sarah V. Ward, Melissa L. Bondy, Richard Houlston, John K. Wiencke, Beatrice Melin, Jill Barnholtz-Sloan, Ben Kinnersley, Margaret R. Wrensch, Christopher I. Amos, Rayjean J. Hung, Paul Brennan, James McKay, Neil E. Caporaso, Sonja I. Berndt, Brenda M. Birmann, Nicola J. Camp, Peter Kraft, Nathaniel Rothman, Susan L. Slager, Andrew Berchuck, Paul D. P. Pharoah, Thomas A. Sellers, Simon A. Gayther, Celeste L. Pearce, Ellen L. Goode, Joellen M. Schildkraut, Kirsten B. Moysich, Laufey T. Amundadottir, Eric J. Jacobs, Alison P. Klein, Gloria M. Petersen, Harvey A. Risch, Rachel Z. Stolzenberg-Solomon, Brian M. Wolpin, Donghui Li, Rosalind A. Eeles, Christopher A. Haiman, Zsofia Kote-Jarai, Fredrick R. Schumacher, Ali Amin Al Olama, Mark P. Purdue, Ghislaine Scelo, Marlene D. Dalgaard, Mark H. Greene, Tom Grotmol, Peter A. Kanetsky, Katherine A. McGlynn, Katherine L. Nathanson, Clare Turnbull, Fredrik Wiklund, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL), Renal Cancer GWAS, Testicular Cancer Consortium (TECAC), Stephen J. Chanock, Nilanjan Chatterjee, and Montserrat Garcia-Closas
Subjects: Science
Abstract: In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and show the utility of polygenic risk scores may vary depending on cancer type.
Published: 2020
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27. Functional informed genome‐wide interaction analysis of body mass index, diabetes and colorectal cancer risk

Author: Zhiyu Xia, Yu‐Ru Su, Paneen Petersen, Lihong Qi, Andre E. Kim, Jane C. Figueiredo, Yi Lin, Hongmei Nan, Lori C. Sakoda, Demetrius Albanes, Sonja I. Berndt, Stéphane Bézieau, Stephanie Bien, Daniel D. Buchanan, Graham Casey, Andrew T. Chan, David V. Conti, David A. Drew, Steven J. Gallinger, W. James Gauderman, Graham G. Giles, Stephen B. Gruber, Marc J. Gunter, Michael Hoffmeister, Mark A. Jenkins, Amit D. Joshi, Loic Le Marchand, Juan P. Lewinger, Li Li, Noralane M. Lindor, Victor Moreno, Neil Murphy, Rami Nassir, Polly A. Newcomb, Shuji Ogino, Gad Rennert, Mingyang Song, Xiaoliang Wang, Alicja Wolk, Michael O. Woods, Hermann Brenner, Emily White, Martha L. Slattery, Edward L. Giovannucci, Jenny Chang‐Claude, Paul D. P. Pharoah, Li Hsu, Peter T. Campbell, and Ulrike Peters
Subjects: BMI, colorectal cancer, diabetes, gene expression, gene‐environmental interaction, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Body mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology. Methods To improve statistical power and interpretation for gene‐environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype‐Tissue Expression Project for all genes with heritability ≥1%. We used a mixed‐effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI‐CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR
Published: 2020
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28. A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry

Author: Zhaohui Du, Niels Weinhold, Gregory Chi Song, Kristin A. Rand, David J. Van Den Berg, Amie E. Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward S. Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William J. Blot, Graham Casey, Victoria L. Stevens, Rick Kittles, Phyllis J. Goodman, W. Ryan Diver, Anselm Hennis, Barbara Nemesure, Eric A. Klein, Benjamin A. Rybicki, Janet L. Stanford, John S. Witte, Lisa Signorello, Esther M. John, Leslie Bernstein, Antoinette M. Stroup, Owen W. Stephens, Maurizio Zangari, Frits Van Rhee, Andrew Olshan, Wei Zheng, Jennifer J. Hu, Regina Ziegler, Sarah J. Nyante, Sue Ann Ingles, Michael F. Press, John David Carpten, Stephen J. Chanock, Jayesh Mehta, Graham A. Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Kenneth C. Anderson, Loic Le Marchand, Daniel Auclair, Brian C.-H. Chiu, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, and Wendy Cozen
Subjects: Specialties of internal medicine, RC581-951
Abstract: Abstract: Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P < 1 × 10−6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P < .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10−12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.
Published: 2020
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29. Physical activity and risks of breast and colorectal cancer: a Mendelian randomisation analysis

Author: Nikos Papadimitriou, Niki Dimou, Konstantinos K. Tsilidis, Barbara Banbury, Richard M. Martin, Sarah J. Lewis, Nabila Kazmi, Timothy M. Robinson, Demetrius Albanes, Krasimira Aleksandrova, Sonja I. Berndt, D. Timothy Bishop, Hermann Brenner, Daniel D. Buchanan, Bas Bueno-de-Mesquita, Peter T. Campbell, Sergi Castellví-Bel, Andrew T. Chan, Jenny Chang-Claude, Merete Ellingjord-Dale, Jane C. Figueiredo, Steven J. Gallinger, Graham G. Giles, Edward Giovannucci, Stephen B. Gruber, Andrea Gsur, Jochen Hampe, Heather Hampel, Sophia Harlid, Tabitha A. Harrison, Michael Hoffmeister, John L. Hopper, Li Hsu, José María Huerta, Jeroen R. Huyghe, Mark A. Jenkins, Temitope O. Keku, Tilman Kühn, Carlo La Vecchia, Loic Le Marchand, Christopher I. Li, Li Li, Annika Lindblom, Noralane M. Lindor, Brigid Lynch, Sanford D. Markowitz, Giovanna Masala, Anne M. May, Roger Milne, Evelyn Monninkhof, Lorena Moreno, Victor Moreno, Polly A. Newcomb, Kenneth Offit, Vittorio Perduca, Paul D. P. Pharoah, Elizabeth A. Platz, John D. Potter, Gad Rennert, Elio Riboli, Maria-Jose Sánchez, Stephanie L. Schmit, Robert E. Schoen, Gianluca Severi, Sabina Sieri, Martha L. Slattery, Mingyang Song, Catherine M. Tangen, Stephen N. Thibodeau, Ruth C. Travis, Antonia Trichopoulou, Cornelia M. Ulrich, Franzel J. B. van Duijnhoven, Bethany Van Guelpen, Pavel Vodicka, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Ulrike Peters, Marc J. Gunter, and Neil Murphy
Subjects: Science
Abstract: Physical activity has been linked to lower risks of colorectal and breast cancer. Here, the authors present a Mendelian randomisation analysis supporting a potentially causal relationship between higher physical activity levels and lower risks of breast cancer and colorectal cancer.
Published: 2020
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30. Publisher Correction: Shared heritability and functional enrichment across six solid cancers

Author: Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez, Sara Benlloch, Andrew Berchuck, Sonja I. Berndt, Heike Bickeböller, Stephanie A. Bien, Carl Blomqvist, Stefania Boccia, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Hiltrud Brauch, Hermann Brenner, James D. Brenton, Mark N. Brook, Joan Brunet, Hans Brunnström, Daniel D. Buchanan, Barbara Burwinkel, Ralf Butzow, Gabriella Cadoni, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Peter T. Campbell, Géraldine Cancel-Tassin, Lisa Cannon-Albright, Daniele Campa, Neil Caporaso, André L. Carvalho, Andrew T. Chan, Jenny Chang-Claude, Stephen J. Chanock, Chu Chen, David C. Christiani, Kathleen B. M. Claes, Frank Claessens, Judith Clements, J. Margriet Collée, Marcia Cruz Correa, Fergus J. Couch, Angela Cox, Julie M. Cunningham, Cezary Cybulski, Kamila Czene, Mary B. Daly, Anna deFazio, Peter Devilee, Orland Diez, Manuela Gago-Dominguez, Jenny L. Donovan, Thilo Dörk, Eric J. Duell, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Christopher K. Edlund, Digna R. Velez Edwards, Carolina Ellberg, D. Gareth Evans, Peter A. Fasching, Robert L. Ferris, Triantafillos Liloglou, Jane C. Figueiredo, Olivia Fletcher, Renée T. Fortner, Florentia Fostira, Silvia Franceschi, Eitan Friedman, Steven J. Gallinger, Patricia A. Ganz, Judy Garber, José A. García-Sáenz, Simon A. Gayther, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Ellen L. Goode, Marc T. Goodman, Gary Goodman, Kjell Grankvist, Mark H. Greene, Henrik Gronberg, Jacek Gronwald, Pascal Guénel, Niclas Håkansson, Per Hall, Ute Hamann, Freddie C. Hamdy, Robert J. Hamilton, Jochen Hampe, Aage Haugen, Florian Heitz, Rolando Herrero, Peter Hillemanns, Michael Hoffmeister, Estrid Høgdall, Yun-Chul Hong, John L. Hopper, Richard Houlston, Peter J. Hulick, David J. Hunter, David G. Huntsman, Gregory Idos, Evgeny N. Imyanitov, Sue Ann Ingles, Claudine Isaacs, Anna Jakubowska, Paul James, Mark A. Jenkins, Mattias Johansson, Mikael Johansson, Esther M. John, Amit D. Joshi, Radka Kaneva, Beth Y. Karlan, Linda E. Kelemen, Tabea Kühl, Kay-Tee Khaw, Elza Khusnutdinova, Adam S. Kibel, Lambertus A. Kiemeney, Jeri Kim, Susanne K. Kjaer, Julia A. Knight, Manolis Kogevinas, Zsofia Kote-Jarai, Stella Koutros, Vessela N. Kristensen, Jolanta Kupryjanczyk, Martin Lacko, Stephan Lam, Diether Lambrechts, Maria Teresa Landi, Philip Lazarus, Nhu D. Le, Eunjung Lee, Flavio Lejbkowicz, Heinz-Josef Lenz, Goska Leslie, Davor Lessel, Jenny Lester, Douglas A. Levine, Li Li, Christopher I. Li, Annika Lindblom, Noralane M. Lindor, Geoffrey Liu, Fotios Loupakis, Jan Lubiński, Lovise Maehle, Christiane Maier, Arto Mannermaa, Loic Le Marchand, Sara Margolin, Taymaa May, Lesley McGuffog, Alfons Meindl, Pooja Middha, Austin Miller, Roger L. Milne, Robert J. MacInnis, Francesmary Modugno, Marco Montagna, Victor Moreno, Kirsten B. Moysich, Lorelei Mucci, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, David E. Neal, Andrew R. Ness, Susan L. Neuhausen, Heli Nevanlinna, Polly A. Newcomb, Lisa F. Newcomb, Finn Cilius Nielsen, Liene Nikitina-Zake, Børge G. Nordestgaard, Robert L. Nussbaum, Kenneth Offit, Edith Olah, Ali Amin Al Olama, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Ana Osorio, Hardev Pandha, Jong Y. Park, Nora Pashayan, Michael T. Parsons, Tanja Pejovic, Kathryn L. Penney, Wilbert H. M. Peters, Catherine M. Phelan, Amanda I. Phipps, Dijana Plaseska-Karanfilska, Miranda Pring, Darya Prokofyeva, Paolo Radice, Kari Stefansson, Susan J. Ramus, Leon Raskin, Gad Rennert, Hedy S. Rennert, Elizabeth J. van Rensburg, Marjorie J. Riggan, Harvey A. Risch, Angela Risch, Monique J. Roobol, Barry S. Rosenstein, Mary Anne Rossing, Kim De Ruyck, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Matthew B. Schabath, Johanna Schleutker, Marjanka K. Schmidt, V. Wendy Setiawan, Hongbing Shen, Erin M. Siegel, Weiva Sieh, Christian F. Singer, Martha L. Slattery, Karina Dalsgaard Sorensen, Melissa C. Southey, Amanda B. Spurdle, Janet L. Stanford, Victoria L. Stevens, Sebastian Stintzing, Jennifer Stone, Karin Sundfeldt, Rebecca Sutphen, Anthony J. Swerdlow, Eloiza H. Tajara, Catherine M. Tangen, Adonina Tardon, Jack A. Taylor, M. Dawn Teare, Manuel R. Teixeira, Mary Beth Terry, Kathryn L. Terry, Stephen N. Thibodeau, Mads Thomassen, Line Bjørge, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Paul A. Townsend, Ruth C. Travis, Nadine Tung, Shelley S. Tworoger, Cornelia M. Ulrich, Nawaid Usmani, Celine M. Vachon, Els Van Nieuwenhuysen, Ana Vega, Miguel Elías Aguado-Barrera, Qin Wang, Penelope M. Webb, Clarice R. Weinberg, Stephanie Weinstein, Mark C. Weissler, Jeffrey N. Weitzel, Catharine M. L. West, Emily White, Alice S. Whittemore, H-Erich Wichmann, Fredrik Wiklund, Robert Winqvist, Alicja Wolk, Penella Woll, Michael Woods, Anna H. Wu, Xifeng Wu, Drakoulis Yannoukakos, Wei Zheng, Shanbeh Zienolddiny, Argyrios Ziogas, Kristin K. Zorn, Jacqueline M. Lane, Richa Saxena, Duncan Thomas, Rayjean J. Hung, Brenda Diergaarde, James McKay, Ulrike Peters, Li Hsu, Montserrat García-Closas, Rosalind A. Eeles, Georgia Chenevix-Trench, Paul J. Brennan, Christopher A. Haiman, Jacques Simard, Douglas F. Easton, Stephen B. Gruber, Paul D. P. Pharoah, Alkes L. Price, Bogdan Pasaniuc, Christopher I. Amos, Peter Kraft, and Sara Lindström
Subjects: Science
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2019
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31. Shared heritability and functional enrichment across six solid cancers

Author: Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez, Sara Benlloch, Andrew Berchuck, Sonja I. Berndt, Heike Bickeböller, Stephanie A. Bien, Carl Blomqvist, Stefania Boccia, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Hiltrud Brauch, Hermann Brenner, James D. Brenton, Mark N. Brook, Joan Brunet, Hans Brunnström, Daniel D. Buchanan, Barbara Burwinkel, Ralf Butzow, Gabriella Cadoni, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Peter T. Campbell, Géraldine Cancel-Tassin, Lisa Cannon-Albright, Daniele Campa, Neil Caporaso, André L. Carvalho, Andrew T. Chan, Jenny Chang-Claude, Stephen J. Chanock, Chu Chen, David C. Christiani, Kathleen B. M. Claes, Frank Claessens, Judith Clements, J. Margriet Collée, Marcia Cruz Correa, Fergus J. Couch, Angela Cox, Julie M. Cunningham, Cezary Cybulski, Kamila Czene, Mary B. Daly, Anna deFazio, Peter Devilee, Orland Diez, Manuela Gago-Dominguez, Jenny L. Donovan, Thilo Dörk, Eric J. Duell, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Christopher K. Edlund, Digna R Velez Edwards, Carolina Ellberg, D. Gareth Evans, Peter A. Fasching, Robert L. Ferris, Triantafillos Liloglou, Jane C. Figueiredo, Olivia Fletcher, Renée T. Fortner, Florentia Fostira, Silvia Franceschi, Eitan Friedman, Steven J. Gallinger, Patricia A. Ganz, Judy Garber, José A. García-Sáenz, Simon A. Gayther, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Ellen L. Goode, Marc T. Goodman, Gary Goodman, Kjell Grankvist, Mark H. Greene, Henrik Gronberg, Jacek Gronwald, Pascal Guénel, Niclas Håkansson, Per Hall, Ute Hamann, Freddie C. Hamdy, Robert J. Hamilton, Jochen Hampe, Aage Haugen, Florian Heitz, Rolando Herrero, Peter Hillemanns, Michael Hoffmeister, Estrid Høgdall, Yun-Chul Hong, John L. Hopper, Richard Houlston, Peter J. Hulick, David J. Hunter, David G. Huntsman, Gregory Idos, Evgeny N. Imyanitov, Sue Ann Ingles, Claudine Isaacs, Anna Jakubowska, Paul James, Mark A. Jenkins, Mattias Johansson, Mikael Johansson, Esther M. John, Amit D. Joshi, Radka Kaneva, Beth Y. Karlan, Linda E. Kelemen, Tabea Kühl, Kay-Tee Khaw, Elza Khusnutdinova, Adam S. Kibel, Lambertus A. Kiemeney, Jeri Kim, Susanne K. Kjaer, Julia A. Knight, Manolis Kogevinas, Zsofia Kote-Jarai, Stella Koutros, Vessela N. Kristensen, Jolanta Kupryjanczyk, Martin Lacko, Stephan Lam, Diether Lambrechts, Maria Teresa Landi, Philip Lazarus, Nhu D. Le, Eunjung Lee, Flavio Lejbkowicz, Heinz-Josef Lenz, Goska Leslie, Davor Lessel, Jenny Lester, Douglas A. Levine, Li Li, Christopher I. Li, Annika Lindblom, Noralane M. Lindor, Geoffrey Liu, Fotios Loupakis, Jan Lubiński, Lovise Maehle, Christiane Maier, Arto Mannermaa, Loic Le Marchand, Sara Margolin, Taymaa May, Lesley McGuffog, Alfons Meindl, Pooja Middha, Austin Miller, Roger L. Milne, Robert J. MacInnis, Francesmary Modugno, Marco Montagna, Victor Moreno, Kirsten B. Moysich, Lorelei Mucci, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, David E. Neal, Andrew R. Ness, Susan L. Neuhausen, Heli Nevanlinna, Polly A. Newcomb, Lisa F. Newcomb, Finn Cilius Nielsen, Liene Nikitina-Zake, Børge G. Nordestgaard, Robert L. Nussbaum, Kenneth Offit, Edith Olah, Ali Amin Al Olama, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Ana Osorio, Hardev Pandha, Jong Y. Park, Nora Pashayan, Michael T. Parsons, Tanja Pejovic, Kathryn L. Penney, Wilbert H M. Peters, Catherine M. Phelan, Amanda I. Phipps, Dijana Plaseska-Karanfilska, Miranda Pring, Darya Prokofyeva, Paolo Radice, Kari Stefansson, Susan J. Ramus, Leon Raskin, Gad Rennert, Hedy S. Rennert, Elizabeth J. van Rensburg, Marjorie J. Riggan, Harvey A. Risch, Angela Risch, Monique J. Roobol, Barry S. Rosenstein, Mary Anne Rossing, Kim De Ruyck, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Matthew B. Schabath, Johanna Schleutker, Marjanka K. Schmidt, V. Wendy Setiawan, Hongbing Shen, Erin M. Siegel, Weiva Sieh, Christian F. Singer, Martha L. Slattery, Karina Dalsgaard Sorensen, Melissa C. Southey, Amanda B. Spurdle, Janet L. Stanford, Victoria L. Stevens, Sebastian Stintzing, Jennifer Stone, Karin Sundfeldt, Rebecca Sutphen, Anthony J. Swerdlow, Eloiza H. Tajara, Catherine M. Tangen, Adonina Tardon, Jack A. Taylor, M. Dawn Teare, Manuel R. Teixeira, Mary Beth Terry, Kathryn L. Terry, Stephen N. Thibodeau, Mads Thomassen, Line Bjørge, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Paul A. Townsend, Ruth C. Travis, Nadine Tung, Shelley S. Tworoger, Cornelia M. Ulrich, Nawaid Usmani, Celine M. Vachon, Els Van Nieuwenhuysen, Ana Vega, Miguel Elías Aguado-Barrera, Qin Wang, Penelope M. Webb, Clarice R. Weinberg, Stephanie Weinstein, Mark C. Weissler, Jeffrey N. Weitzel, Catharine M. L. West, Emily White, Alice S. Whittemore, H-Erich Wichmann, Fredrik Wiklund, Robert Winqvist, Alicja Wolk, Penella Woll, Michael Woods, Anna H. Wu, Xifeng Wu, Drakoulis Yannoukakos, Wei Zheng, Shanbeh Zienolddiny, Argyrios Ziogas, Kristin K. Zorn, Jacqueline M. Lane, Richa Saxena, Duncan Thomas, Rayjean J. Hung, Brenda Diergaarde, James McKay, Ulrike Peters, Li Hsu, Montserrat García-Closas, Rosalind A. Eeles, Georgia Chenevix-Trench, Paul J. Brennan, Christopher A. Haiman, Jacques Simard, Douglas F. Easton, Stephen B. Gruber, Paul D. P. Pharoah, Alkes L. Price, Bogdan Pasaniuc, Christopher I. Amos, Peter Kraft, and Sara Lindström
Subjects: Science
Abstract: Similarities in cancers can be studied to interrogate their etiology. Here, the authors use genome-wide association study summary statistics from six cancer types based on 296,215 cases and 301,319 controls of European ancestry, showing that solid tumours arising from different tissues share a degree of common germline genetic basis.
Published: 2019
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32. Author Correction: Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author: Marco Matejcic, Edward J. Saunders, Tokhir Dadaev, Mark N. Brook, Kan Wang, Xin Sheng, Ali Amin Al Olama, Fredrick R. Schumacher, Sue A. Ingles, Koveela Govindasami, Sara Benlloch, Sonja I. Berndt, Demetrius Albanes, Stella Koutros, Kenneth Muir, Victoria L. Stevens, Susan M. Gapstur, Catherine M. Tangen, Jyotsna Batra, Judith Clements, Henrik Gronberg, Nora Pashayan, Johanna Schleutker, Alicja Wolk, Catharine West, Lorelei Mucci, Peter Kraft, Géraldine Cancel-Tassin, Karina D. Sorensen, Lovise Maehle, Eli M. Grindedal, Sara S. Strom, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Barry Rosenstein, Yong-Jie Lu, Graham G. Giles, Adam S. Kibel, Ana Vega, Jeanette T. Bensen, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanford, Cezary Cybulski, Børge G. Nordestgaard, Hermann Brenner, Christiane Maier, Jeri Kim, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Manuela Gago-Dominguez, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa A. Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, Daniel J. Schaid, The PRACTICAL Consortium, Fredrik Wiklund, Stephen J. Chanock, Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, David V. Conti, and Christopher A. Haiman
Subjects: Science
Abstract: The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.
Published: 2019
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33. Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia

Author: Batel Blechter, Jason Y.Y. Wong, Chao Agnes Hsiung, H.Dean Hosgood, Zhihua Yin, Xiao-Ou Shu, Han Zhang, Jianxin Shi, Lei Song, Minsun Song, Wei Zheng, Zhaoming Wang, Neil Caporaso, Laurie Burdette, Meredith Yeager, Sonja I. Berndt, Maria Teresa Landi, Chien-Jen Chen, Gee-Chen Chang, Chin-Fu Hsiao, Ying-Huang Tsai, Kuan-Yu Chen, Ming-Shyan Huang, Wu-Chou Su, Yuh-Min Chen, Li-Hsin Chien, Chung-Hsing Chen, Tsung-Ying Yang, Chih-Liang Wang, Jen-Yu Hung, Chien-Chung Lin, Reury-Perng Perng, Chih-Yi Chen, Kun-Chieh Chen, Yao-Jen Li, Chong-Jen Yu, Yi-Song Chen, Ying-Hsiang Chen, Fang-Yu Tsai, Wei Jie Seow, Bryan A. Bassig, Wei Hu, Bu-Tian Ji, Wei Wu, Peng Guan, Qincheng He, Yu-Tang Gao, Qiuyin Cai, Wong-Ho Chow, Yong-Bing Xiang, Dongxin Lin, Chen Wu, Yi-Long Wu, Min-Ho Shin, Yun-Chul Hong, Keitaro Matsuo, Kexin Chen, Maria Pik Wong, Daru Lu, Li Jin, Jiu-Cun Wang, Adeline Seow, Tangchun Wu, Hongbing Shen, Joseph F. Fraumeni, Pan-Chyr Yang, I-Shou Chang, Baosen Zhou, Stephen J. Chanock, Nathaniel Rothman, Nilanjan Chatterjee, and Qing Lan
Subjects: Lung adenocarcinoma, Polygenic risk score, Gene-environment interaction, Household coal use, Never-smoking women in Asia, Environmental sciences, GE1-350
Abstract: We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia (FLCCA), the largest genomic study of lung cancer among never-smoking women to date. Furthermore, household coal use for cooking and heating has been linked to lung cancer in Asia, especially in Xuanwei, China. We investigated the potential interaction between genetic susceptibility and coal use in FLCCA. We analyzed GWAS-data from Taiwan, Shanghai, and Shenyang (1472 cases; 1497 controls), as well as a separate study conducted in Xuanwei (152 cases; 522 controls) for additional analyses. We summarized genetic susceptibility using a polygenic risk score (PRS), which was the weighted sum of the risk-alleles from the 10 previously identified loci. We estimated associations between a PRS, coal use (ever/never), and lung adenocarcinoma with multivariable logistic regression models, and evaluated potential gene-environment interactions using likelihood ratio tests. There was a strong association between continuous PRS and lung adenocarcinoma among never coal users (Odds Ratio (OR) = 1.69 (95% Confidence Interval (CI) = 1.53, 1.87), p=1 × 10−26). This effect was attenuated among ever coal users (OR = 1.24 (95% CI: 1.03, 1.50), p = 0.02, p-interaction = 6 × 10−3). We observed similar attenuation among coal users from Xuanwei. Our study provides evidence that genetic susceptibility to lung adenocarcinoma among never-smoking Asian women is weaker among coal users. These results suggest that lung cancer pathogenesis may differ, at least partially, depending on exposure to coal combustion products. Notably, these novel findings are among the few instances of sub-multiplicative gene-environment interactions in the cancer literature.
Published: 2021
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34. Hemochromatosis risk genotype is not associated with colorectal cancer or age at its diagnosis

Author: Gail P. Jarvik, Xiaoliang Wang, Pierre Fontanillas, Esther Kim, Sirisak Chanprasert, Adam S. Gordon, Lisa Bastarache, Kris V. Kowdley, Tabitha Harrison, Elisabeth A. Rosenthal, Ian B. Stanaway, Stéphane Bézieau, Stephanie J. Weinstein, Polly A. Newcomb, Graham Casey, Elizabeth A. Platz, Kala Visvanathan, Loic Le Marchand, Cornelia M. Ulrich, Sheetal Hardikar, Christopher I. Li, Franzel J.B. van Duijnhoven, Andrea Gsur, Peter T. Campbell, Victor Moreno, Pavel Vodička, Hermann Brenner, Jenny Chang-Claude, Michael Hoffmeister, Martha L. Slattery, Marc J. Gunter, Elom K. Aglago, Sergi Castellví-Bel, Sun-Seog Kweon, Andrew T. Chan, Li Li, Wei Zheng, D. Timothy Bishop, Graham G. Giles, Gad Rennert, Kenneth Offit, Temitope O. Keku, Michael O. Woods, Jochen Hampe, Bethan Van Guelpen, Steven J. Gallinger, Albert de la Chapelle, Heather Hampel, Sonja I. Berndt, Catherine M. Tangen, Annika Lindblom, Alicja Wolk, Andrea Burnett-Hartman, Anna H. Wu, Emily White, Stephen B. Gruber, Mark A. Jenkins, Joanna Mountain, Ulrike Peters, and David R. Crosslin
Subjects: iron, ferritin, population screening, age of onset, colon cancer, genetic, Genetics, QH426-470
Abstract: Summary: Homozygotes for the higher penetrance hemochromatosis risk allele, HFE c.845G>A (p.Cys282Tyr, or C282Y), have been reported to be at a 2- to 3-fold increased risk for colorectal cancer (CRC). These results have been reported for small sample size studies with no information about age at diagnosis for CRC. An association with age at diagnosis might alter CRC screening recommendations. We analyzed two large European ancestry datasets to assess the association of HFE genotype with CRC risk and age at CRC diagnosis. The first dataset included 59,733 CRC or advanced adenoma cases and 72,351 controls from a CRC epidemiological study consortium. The second dataset included 13,564 self-reported CRC cases and 2,880,218 controls from the personal genetics company, 23andMe. No association of the common hereditary hemochromatosis (HH) risk genotype and CRC was found in either dataset. The odds ratios (ORs) for the association of CRC and HFE C282Y homozygosity were 1.08 (95% confidence interval [CI], 0.91–1.29; p = 0.4) and 1.01 (95% CI, 0.78–1.31, p = 0.9) in the two cohorts, respectively. Age at CRC diagnosis also did not differ by HFE C282Y/C282Y genotype in either dataset. These results indicate no increased CRC risk in individuals with HH genotypes and suggest that persons with HH risk genotypes can follow population screening recommendations for CRC.
Published: 2020
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35. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author: Amy Moore, Eleanor Kane, Zhaoming Wang, Orestis A. Panagiotou, Lauren R. Teras, Alain Monnereau, Nicole Wong Doo, Mitchell J. Machiela, Christine F. Skibola, Susan L. Slager, Gilles Salles, Nicola J. Camp, Paige M. Bracci, Alexandra Nieters, Roel C. H. Vermeulen, Joseph Vijai, Karin E. Smedby, Yawei Zhang, Claire M. Vajdic, Wendy Cozen, John J. Spinelli, Henrik Hjalgrim, Graham G. Giles, Brian K. Link, Jacqueline Clavel, Alan A. Arslan, Mark P. Purdue, Lesley F. Tinker, Demetrius Albanes, Giovanni M. Ferri, Thomas M. Habermann, Hans-Olov Adami, Nikolaus Becker, Yolanda Benavente, Simonetta Bisanzi, Paolo Boffetta, Paul Brennan, Angela R. Brooks-Wilson, Federico Canzian, Lucia Conde, David G. Cox, Karen Curtin, Lenka Foretova, Susan M. Gapstur, Hervé Ghesquières, Martha Glenn, Bengt Glimelius, Rebecca D. Jackson, Qing Lan, Mark Liebow, Marc Maynadie, James McKay, Mads Melbye, Lucia Miligi, Roger L. Milne, Thierry J. Molina, Lindsay M. Morton, Kari E. North, Kenneth Offit, Marina Padoan, Alpa V. Patel, Sara Piro, Vignesh Ravichandran, Elio Riboli, Silvia de Sanjose, Richard K. Severson, Melissa C. Southey, Anthony Staines, Carolyn Stewart, Ruth C. Travis, Elisabete Weiderpass, Stephanie Weinstein, Tongzhang Zheng, Stephen J. Chanock, Nilanjan Chatterjee, Nathaniel Rothman, Brenda M. Birmann, James R. Cerhan, and Sonja I. Berndt
Subjects: non-Hodgkin lymphoma, height, genetics, chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.
Published: 2020
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36. Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Author: Marco Matejcic, Edward J. Saunders, Tokhir Dadaev, Mark N. Brook, Kan Wang, Xin Sheng, Ali Amin Al Olama, Fredrick R. Schumacher, Sue A. Ingles, Koveela Govindasami, Sara Benlloch, Sonja I. Berndt, Demetrius Albanes, Stella Koutros, Kenneth Muir, Victoria L. Stevens, Susan M. Gapstur, Catherine M. Tangen, Jyotsna Batra, Judith Clements, Henrik Gronberg, Nora Pashayan, Johanna Schleutker, Alicja Wolk, Catharine West, Lorelei Mucci, Peter Kraft, Géraldine Cancel-Tassin, Karina D. Sorensen, Lovise Maehle, Eli M. Grindedal, Sara S. Strom, David E. Neal, Freddie C. Hamdy, Jenny L. Donovan, Ruth C. Travis, Robert J. Hamilton, Barry Rosenstein, Yong-Jie Lu, Graham G. Giles, Adam S. Kibel, Ana Vega, Jeanette T. Bensen, Manolis Kogevinas, Kathryn L. Penney, Jong Y. Park, Janet L. Stanford, Cezary Cybulski, Børge G. Nordestgaard, Hermann Brenner, Christiane Maier, Jeri Kim, Manuel R. Teixeira, Susan L. Neuhausen, Kim De Ruyck, Azad Razack, Lisa F. Newcomb, Davor Lessel, Radka Kaneva, Nawaid Usmani, Frank Claessens, Paul A. Townsend, Manuela Gago-Dominguez, Monique J. Roobol, Florence Menegaux, Kay-Tee Khaw, Lisa A. Cannon-Albright, Hardev Pandha, Stephen N. Thibodeau, Daniel J. Schaid, The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Fredrik Wiklund, Stephen J. Chanock, Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, David V. Conti, and Christopher A. Haiman
Subjects: Science
Abstract: Chromosome 8q24 is known to be a major susceptibility region for prostate cancer risk. Here the authors analyze genetic data across the 8q24 region from 71,535 prostate cancer patients identifying 12 risk loci, three previously unreported, highlighting the contribution of germline variation at this locus.
Published: 2018
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37. Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia

Author: Mary L. McMaster, Sonja I. Berndt, Jianqing Zhang, Susan L. Slager, Shengchao Alfred Li, Claire M. Vajdic, Karin E. Smedby, Huihuang Yan, Brenda M. Birmann, Elizabeth E. Brown, Alex Smith, Geffen Kleinstern, Mervin M. Fansler, Christine Mayr, Bin Zhu, Charles C. Chung, Ju-Hyun Park, Laurie Burdette, Belynda D. Hicks, Amy Hutchinson, Lauren R. Teras, Hans-Olov Adami, Paige M. Bracci, James McKay, Alain Monnereau, Brian K. Link, Roel C. H. Vermeulen, Stephen M. Ansell, Ann Maria, W. Ryan Diver, Mads Melbye, Akinyemi I. Ojesina, Peter Kraft, Paolo Boffetta, Jacqueline Clavel, Edward Giovannucci, Caroline M. Besson, Federico Canzian, Ruth C. Travis, Paolo Vineis, Elisabete Weiderpass, Rebecca Montalvan, Zhaoming Wang, Meredith Yeager, Nikolaus Becker, Yolanda Benavente, Paul Brennan, Lenka Foretova, Marc Maynadie, Alexandra Nieters, Silvia de Sanjose, Anthony Staines, Lucia Conde, Jacques Riby, Bengt Glimelius, Henrik Hjalgrim, Nisha Pradhan, Andrew L. Feldman, Anne J. Novak, Charles Lawrence, Bryan A. Bassig, Qing Lan, Tongzhang Zheng, Kari E. North, Lesley F. Tinker, Wendy Cozen, Richard K. Severson, Jonathan N. Hofmann, Yawei Zhang, Rebecca D. Jackson, Lindsay M. Morton, Mark P. Purdue, Nilanjan Chatterjee, Kenneth Offit, James R. Cerhan, Stephen J. Chanock, Nathaniel Rothman, Joseph Vijai, Lynn R. Goldin, Christine F. Skibola, and Neil E. Caporaso
Subjects: Science
Abstract: Waldenström macroglobulinemia (WM)/lymphoplasmacytic lymphoma (LPL) is a non-Hodgkin-type B cell lymphoma. Here, the authors identify two risk loci for WM/LPL in a two-stage GWAS involving a family-oversampling approach and provide evidence for a functional role of the non-coding SNP rs116446171.
Published: 2018
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38. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author: Tokhir Dadaev, Edward J. Saunders, Paul J. Newcombe, Ezequiel Anokian, Daniel A. Leongamornlert, Mark N. Brook, Clara Cieza-Borrella, Martina Mijuskovic, Sarah Wakerell, Ali Amin Al Olama, Fredrick R. Schumacher, Sonja I. Berndt, Sara Benlloch, Mahbubl Ahmed, Chee Goh, Xin Sheng, Zhuo Zhang, Kenneth Muir, Koveela Govindasami, Artitaya Lophatananon, Victoria L. Stevens, Susan M. Gapstur, Brian D. Carter, Catherine M. Tangen, Phyllis Goodman, Ian M. Thompson, Jyotsna Batra, Suzanne Chambers, Leire Moya, Judith Clements, Lisa Horvath, Wayne Tilley, Gail Risbridger, Henrik Gronberg, Markus Aly, Tobias Nordström, Paul Pharoah, Nora Pashayan, Johanna Schleutker, Teuvo L. J. Tammela, Csilla Sipeky, Anssi Auvinen, Demetrius Albanes, Stephanie Weinstein, Alicja Wolk, Niclas Hakansson, Catharine West, Alison M. Dunning, Neil Burnet, Lorelei Mucci, Edward Giovannucci, Gerald Andriole, Olivier Cussenot, Géraldine Cancel-Tassin, Stella Koutros, Laura E. Beane Freeman, Karina Dalsgaard Sorensen, Torben Falck Orntoft, Michael Borre, Lovise Maehle, Eli Marie Grindedal, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Richard M. Martin, Ruth C. Travis, Tim J. Key, Robert J. Hamilton, Neil E. Fleshner, Antonio Finelli, Sue Ann Ingles, Mariana C. Stern, Barry Rosenstein, Sarah Kerns, Harry Ostrer, Yong-Jie Lu, Hong-Wei Zhang, Ninghan Feng, Xueying Mao, Xin Guo, Guomin Wang, Zan Sun, Graham G. Giles, Melissa C. Southey, Robert J. MacInnis, Liesel M. FitzGerald, Adam S. Kibel, Bettina F. Drake, Ana Vega, Antonio Gómez-Caamaño, Laura Fachal, Robert Szulkin, Martin Eklund, Manolis Kogevinas, Javier Llorca, Gemma Castaño-Vinyals, Kathryn L. Penney, Meir Stampfer, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Janet L. Stanford, Cezary Cybulski, Dominika Wokolorczyk, Jan Lubinski, Elaine A. Ostrander, Milan S. Geybels, Børge G. Nordestgaard, Sune F. Nielsen, Maren Weisher, Rasmus Bisbjerg, Martin Andreas Røder, Peter Iversen, Hermann Brenner, Katarina Cuk, Bernd Holleczek, Christiane Maier, Manuel Luedeke, Thomas Schnoeller, Jeri Kim, Christopher J. Logothetis, Esther M. John, Manuel R. Teixeira, Paula Paulo, Marta Cardoso, Susan L. Neuhausen, Linda Steele, Yuan Chun Ding, Kim De Ruyck, Gert De Meerleer, Piet Ost, Azad Razack, Jasmine Lim, Soo-Hwang Teo, Daniel W. Lin, Lisa F. Newcomb, Davor Lessel, Marija Gamulin, Tomislav Kulis, Radka Kaneva, Nawaid Usmani, Chavdar Slavov, Vanio Mitev, Matthew Parliament, Sandeep Singhal, Frank Claessens, Steven Joniau, Thomas Van den Broeck, Samantha Larkin, Paul A. Townsend, Claire Aukim-Hastie, Manuela Gago-Dominguez, Jose Esteban Castelao, Maria Elena Martinez, Monique J. Roobol, Guido Jenster, Ron H. N. van Schaik, Florence Menegaux, Thérèse Truong, Yves Akoli Koudou, Jianfeng Xu, Kay-Tee Khaw, Lisa Cannon-Albright, Hardev Pandha, Agnieszka Michael, Andrzej Kierzek, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Sara Lindstrom, Constance Turman, Jing Ma, David J. Hunter, Elio Riboli, Afshan Siddiq, Federico Canzian, Laurence N. Kolonel, Loic Le Marchand, Robert N. Hoover, Mitchell J. Machiela, Peter Kraft, The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Matthew Freedman, Fredrik Wiklund, Stephen Chanock, Brian E. Henderson, Douglas F. Easton, Christopher A. Haiman, Rosalind A. Eeles, David V. Conti, and Zsofia Kote-Jarai
Subjects: Science
Abstract: Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.
Published: 2018
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39. Association of family history and survival in patients with colorectal cancer: a pooled analysis of eight epidemiologic studies

Author: Dawn Q. Chong, Barbara L. Banbury, Amanda I. Phipps, Xinwei Hua, Jonathan Kocarnik, Ulrike Peters, Sonja I. Berndt, Wen‐Yi Huang, John D. Potter, Martha L. Slattery, Emily White, Peter T. Campbell, Tabitha Harrison, Polly A. Newcomb, and Andrew T. Chan
Subjects: Colorectal cancer, family history, first‐degree relative, mortality, survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract A family history of colorectal cancer (CRC) in first‐degree relatives (FDRs) increases the risk of CRC. However, the influence of family history on survival among CRC patients remains unclear. We conducted a pooled analysis of survival in 5010 incident CRC cases. Cox proportional hazards models were used to estimate the association of family history with overall survival (OS) and CRC‐specific survival (CSS). We also assessed the impact of the number of affected FDRs and age at CRC diagnosis in the affected FDRs on survival. Among CRC cases, 819 (16%) patients reported a family history of CRC. There were 1580 total deaths over a median follow‐up of 4.6 years, of which 1046 (66%) deaths were due to CRC. Having a family history of CRC was not associated with OS [hazard ratio (HR), 1.03; 95% confidence interval (CI), 0.89–1.19] or CSS (HR, 1.13; 95% CI, 0.95–1.36)]. There were no associations between the number of affected relatives or age at CRC diagnosis of the affected relative with survival (all Ptrend > 0.05). However, a family history of CRC did confer worse CSS in patients diagnosed with distal colon cancer (HR, 1.45, 95% CI, 1.03–2.04). A family history of CRC was generally not associated with survival after CRC diagnosis. However, having a family history of CRC was associated with worse CRC prognosis in individuals with distal colon cancer, suggesting a possible genetic predisposition with distinct pathogenic mechanism that may lead to worse survival in this group.
Published: 2018
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40. Genome-wide meta-analysis identifies five new susceptibility loci for pancreatic cancer

Author: Alison P. Klein, Brian M. Wolpin, Harvey A. Risch, Rachael Z. Stolzenberg-Solomon, Evelina Mocci, Mingfeng Zhang, Federico Canzian, Erica J. Childs, Jason W. Hoskins, Ashley Jermusyk, Jun Zhong, Fei Chen, Demetrius Albanes, Gabriella Andreotti, Alan A. Arslan, Ana Babic, William R. Bamlet, Laura Beane-Freeman, Sonja I. Berndt, Amanda Blackford, Michael Borges, Ayelet Borgida, Paige M. Bracci, Lauren Brais, Paul Brennan, Hermann Brenner, Bas Bueno-de-Mesquita, Julie Buring, Daniele Campa, Gabriele Capurso, Giulia Martina Cavestro, Kari G. Chaffee, Charles C. Chung, Sean Cleary, Michelle Cotterchio, Frederike Dijk, Eric J. Duell, Lenka Foretova, Charles Fuchs, Niccola Funel, Steven Gallinger, J. Michael M. Gaziano, Maria Gazouli, Graham G. Giles, Edward Giovannucci, Michael Goggins, Gary E. Goodman, Phyllis J. Goodman, Thilo Hackert, Christopher Haiman, Patricia Hartge, Manal Hasan, Peter Hegyi, Kathy J. Helzlsouer, Joseph Herman, Ivana Holcatova, Elizabeth A. Holly, Robert Hoover, Rayjean J. Hung, Eric J. Jacobs, Krzysztof Jamroziak, Vladimir Janout, Rudolf Kaaks, Kay-Tee Khaw, Eric A. Klein, Manolis Kogevinas, Charles Kooperberg, Matthew H. Kulke, Juozas Kupcinskas, Robert J. Kurtz, Daniel Laheru, Stefano Landi, Rita T. Lawlor, I.-Min Lee, Loic LeMarchand, Lingeng Lu, Núria Malats, Andrea Mambrini, Satu Mannisto, Roger L. Milne, Beatrice Mohelníková-Duchoňová, Rachel E. Neale, John P. Neoptolemos, Ann L. Oberg, Sara H. Olson, Irene Orlow, Claudio Pasquali, Alpa V. Patel, Ulrike Peters, Raffaele Pezzilli, Miquel Porta, Francisco X. Real, Nathaniel Rothman, Ghislaine Scelo, Howard D. Sesso, Gianluca Severi, Xiao-Ou Shu, Debra Silverman, Jill P. Smith, Pavel Soucek, Malin Sund, Renata Talar-Wojnarowska, Francesca Tavano, Mark D. Thornquist, Geoffrey S. Tobias, Stephen K. Van Den Eeden, Yogesh Vashist, Kala Visvanathan, Pavel Vodicka, Jean Wactawski-Wende, Zhaoming Wang, Nicolas Wentzensen, Emily White, Herbert Yu, Kai Yu, Anne Zeleniuch-Jacquotte, Wei Zheng, Peter Kraft, Donghui Li, Stephen Chanock, Ofure Obazee, Gloria M. Petersen, and Laufey T. Amundadottir
Subjects: Science
Abstract: Genetic variants associated with susceptibility to pancreatic cancer have been identified using genome wide association studies (GWAS). Here, the authors combine data from over 9000 patients and perform a meta-analysis to identify five novel loci linked to pancreatic cancer.
Published: 2018
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41. Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study

Author: Aayah Nounu, Rebecca C. Richmond, Isobel D. Stewart, Praveen Surendran, Nicholas J. Wareham, Adam Butterworth, Stephanie J. Weinstein, Demetrius Albanes, John A. Baron, John L. Hopper, Jane C. Figueiredo, Polly A. Newcomb, Noralane M. Lindor, Graham Casey, Elizabeth A. Platz, Loïc Le Marchand, Cornelia M. Ulrich, Christopher I. Li, Fränzel J. B. van Dujinhoven, Andrea Gsur, Peter T. Campbell, Víctor Moreno, Pavel Vodicka, Ludmila Vodickova, Efrat Amitay, Elizabeth Alwers, Jenny Chang-Claude, Lori C. Sakoda, Martha L. Slattery, Robert E. Schoen, Marc J. Gunter, Sergi Castellví-Bel, Hyeong-Rok Kim, Sun-Seog Kweon, Andrew T. Chan, Li Li, Wei Zheng, D. Timothy Bishop, Daniel D. Buchanan, Graham G. Giles, Stephen B. Gruber, Gad Rennert, Zsofia K. Stadler, Tabitha A. Harrison, Yi Lin, Temitope O. Keku, Michael O. Woods, Clemens Schafmayer, Bethany Van Guelpen, Steven Gallinger, Heather Hampel, Sonja I. Berndt, Paul D. P. Pharoah, Annika Lindblom, Alicja Wolk, Anna H. Wu, Emily White, Ulrike Peters, David A. Drew, Dominique Scherer, Justo Lorenzo Bermejo, Hermann Brenner, Michael Hoffmeister, Ann C. Williams, and Caroline L. Relton
Subjects: salicylic acid, aspirin, colorectal cancer, Mendelian randomization, Nutrition. Foods and food supply, TX341-641
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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42. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author: Philip J. Law, Sonja I. Berndt, Helen E. Speedy, Nicola J. Camp, Georgina P. Sava, Christine F. Skibola, Amy Holroyd, Vijai Joseph, Nicola J. Sunter, Alexandra Nieters, Silvia Bea, Alain Monnereau, David Martin-Garcia, Lynn R. Goldin, Guillem Clot, Lauren R. Teras, Inés Quintela, Brenda M. Birmann, Sandrine Jayne, Wendy Cozen, Aneela Majid, Karin E. Smedby, Qing Lan, Claire Dearden, Angela R. Brooks-Wilson, Andrew G. Hall, Mark P. Purdue, Tryfonia Mainou-Fowler, Claire M. Vajdic, Graham H. Jackson, Pierluigi Cocco, Helen Marr, Yawei Zhang, Tongzhang Zheng, Graham G. Giles, Charles Lawrence, Timothy G. Call, Mark Liebow, Mads Melbye, Bengt Glimelius, Larry Mansouri, Martha Glenn, Karen Curtin, W Ryan Diver, Brian K. Link, Lucia Conde, Paige M. Bracci, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Paolo Boffetta, Paul Brennan, Marc Maynadie, James McKay, Demetrius Albanes, Stephanie Weinstein, Zhaoming Wang, Neil E. Caporaso, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Roel C. H. Vermeulen, Melissa C. Southey, Roger L. Milne, Jacqueline Clavel, Sabine Topka, John J. Spinelli, Peter Kraft, Maria Grazia Ennas, Geoffrey Summerfield, Giovanni M. Ferri, Robert J. Harris, Lucia Miligi, Andrew R. Pettitt, Kari E. North, David J. Allsup, Joseph F. Fraumeni, James R. Bailey, Kenneth Offit, Guy Pratt, Henrik Hjalgrim, Chris Pepper, Stephen J. Chanock, Chris Fegan, Richard Rosenquist, Silvia de Sanjose, Angel Carracedo, Martin J. S. Dyer, Daniel Catovsky, Elias Campo, James R. Cerhan, James M. Allan, Nathanial Rothman, Richard Houlston, and Susan Slager
Subjects: Science
Abstract: Chronic lymphocytic leukaemia has a hereditary component, much of which remains to be identified. Here, the authors perform a genome-wide association study and find new risk loci for the disease, which are associated with genes involved in immune function.
Published: 2017
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43. Genome-wide association study of prostate-specific antigen levels identifies novel loci independent of prostate cancer

Author: Thomas J. Hoffmann, Michael N. Passarelli, Rebecca E. Graff, Nima C. Emami, Lori C. Sakoda, Eric Jorgenson, Laurel A. Habel, Jun Shan, Dilrini K. Ranatunga, Charles P. Quesenberry, Chun R. Chao, Nirupa R. Ghai, David Aaronson, Joseph Presti, Tobias Nordström, Zhaoming Wang, Sonja I. Berndt, Stephen J. Chanock, Jonathan D. Mosley, Robert J. Klein, Mridu Middha, Hans Lilja, Olle Melander, Mark N. Kvale, Pui-Yan Kwok, Catherine Schaefer, Neil Risch, Stephen K. Van Den Eeden, and John S. Witte
Subjects: Science
Abstract: Prostate-specific antigen is used as a biomarker of prostate cancer, but levels can be affected by other factors not related to cancer. Here, the authors find genes associated with prostate specific antigen levels in healthy men, which could be used to reduce over-diagnosis and over-treatment.
Published: 2017
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44. Lifetime Pesticide Use and Antinuclear Antibodies in Male Farmers From the Agricultural Health Study

Author: Christine G. Parks, Aline de Souza Espindola Santos, Catherine C. Lerro, Curt T. DellaValle, Mary H. Ward, Michael C. Alavanja, Sonja I. Berndt, Laura E. Beane Freeman, Dale P. Sandler, and Jonathan N. Hofmann
Subjects: epidemiology–analytic (risk factors), autoantibodies, pesticides, occupational epidemiology, cohort study (or longitudinal study), Immunologic diseases. Allergy, RC581-607
Abstract: Farming and pesticide use have been associated with systemic autoimmune diseases, and while certain organochlorine insecticides and other pesticides are suspected to influence risk, the role of specific pesticides in the development of systemic autoimmunity is not known. We measured serum antinuclear autoantibodies (ANA) by immunofluorescence on Hep-2 cells in 668 male farmers in the study of Biomarkers of Exposure and Effect in Agriculture (BEEA; 2010–2013), an Agricultural Health Study (AHS) subcohort. We examined ANA in relation to lifetime use of 46 pesticides first reported at AHS enrollment (1993–1997) and updated at intervals through BEEA enrollment. Odds ratios (OR) and 95% confidence intervals (CI) were estimated after adjusting for age, state, education, season of blood draw, current pesticide use, and correlated pesticides. Having ANA antibodies (3 or 4+ intensity at a 1:80 dilution, 21% of study participants) was associated with a reported history of seeking medical care due to exposure to pesticides (OR 2.15; 95%CI 1.17, 3.95), use of the fumigant methyl bromide (OR 3.16; 95%CI 1.05, 9.5), and use of petroleum oil/distillates (OR 1.50; 95%CI 1.00, 2.25). Using a higher threshold (3 or 4+ at a 1:160 dilution, 9%) ANA positivity was associated with the carbamate insecticide aldicarb (OR 4.82; 95%CI 1.33, 17.5) and greater combined use of four cyclodiene organochlorine insecticides (top tertile of intensity-weighted lifetime days vs. no use; OR T3 3.20; 95%CI 1.10, 9.27). By contrast, greater use of non-cyclodiene organochlorine insecticides was inversely associated with ANA (1:80 dilution 3 or 4+, OR T3 0.24; 95%CI 0.08, 0.72). Specific autoantibodies (to extractable nuclear antigens and anti-dsDNA), measured on those with ANA detected at the 1:80 dilution 3 or 4+, were seen in 15 individuals (2%), and were associated with use of two or more cyclodiene organochlorine insecticides and several other pesticides (e.g., carbofuran, ethylene dibromide). These findings suggest that specific pesticide exposures may have long-term effects on ANA prevalence and support the hypothesis that certain organochlorine insecticides may increase the risk of developing systemic autoimmunity.
Published: 2019
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45. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome

Author: Mitchell J. Machiela, Weiyin Zhou, Eric Karlins, Joshua N. Sampson, Neal D. Freedman, Qi Yang, Belynda Hicks, Casey Dagnall, Christopher Hautman, Kevin B. Jacobs, Christian C. Abnet, Melinda C. Aldrich, Christopher Amos, Laufey T. Amundadottir, Alan A. Arslan, Laura E. Beane-Freeman, Sonja I. Berndt, Amanda Black, William J. Blot, Cathryn H. Bock, Paige M. Bracci, Louise A. Brinton, H Bas Bueno-de-Mesquita, Laurie Burdett, Julie E. Buring, Mary A. Butler, Federico Canzian, Tania Carreón, Kari G. Chaffee, I-Shou Chang, Nilanjan Chatterjee, Chu Chen, Constance Chen, Kexin Chen, Charles C. Chung, Linda S. Cook, Marta Crous Bou, Michael Cullen, Faith G. Davis, Immaculata De Vivo, Ti Ding, Jennifer Doherty, Eric J. Duell, Caroline G. Epstein, Jin-Hu Fan, Jonine D. Figueroa, Joseph F. Fraumeni, Christine M. Friedenreich, Charles S. Fuchs, Steven Gallinger, Yu-Tang Gao, Susan M. Gapstur, Montserrat Garcia-Closas, Mia M. Gaudet, J. Michael Gaziano, Graham G. Giles, Elizabeth M. Gillanders, Edward L. Giovannucci, Lynn Goldin, Alisa M. Goldstein, Christopher A. Haiman, Goran Hallmans, Susan E. Hankinson, Curtis C. Harris, Roger Henriksson, Elizabeth A. Holly, Yun-Chul Hong, Robert N. Hoover, Chao A. Hsiung, Nan Hu, Wei Hu, David J. Hunter, Amy Hutchinson, Mazda Jenab, Christoffer Johansen, Kay-Tee Khaw, Hee Nam Kim, Yeul Hong Kim, Young Tae Kim, Alison P. Klein, Robert Klein, Woon-Puay Koh, Laurence N. Kolonel, Charles Kooperberg, Peter Kraft, Vittorio Krogh, Robert C. Kurtz, Andrea LaCroix, Qing Lan, Maria Teresa Landi, Loic Le Marchand, Donghui Li, Xiaolin Liang, Linda M. Liao, Dongxin Lin, Jianjun Liu, Jolanta Lissowska, Lingeng Lu, Anthony M. Magliocco, Nuria Malats, Keitaro Matsuo, Lorna H. McNeill, Robert R. McWilliams, Beatrice S. Melin, Lisa Mirabello, Lee Moore, Sara H. Olson, Irene Orlow, Jae Yong Park, Ana Patiño-Garcia, Beata Peplonska, Ulrike Peters, Gloria M. Petersen, Loreall Pooler, Jennifer Prescott, Ludmila Prokunina-Olsson, Mark P. Purdue, You-Lin Qiao, Preetha Rajaraman, Francisco X. Real, Elio Riboli, Harvey A. Risch, Benjamin Rodriguez-Santiago, Avima M. Ruder, Sharon A. Savage, Fredrick Schumacher, Ann G. Schwartz, Kendra L. Schwartz, Adeline Seow, Veronica Wendy Setiawan, Gianluca Severi, Hongbing Shen, Xin Sheng, Min-Ho Shin, Xiao-Ou Shu, Debra T. Silverman, Margaret R. Spitz, Victoria L. Stevens, Rachael Stolzenberg-Solomon, Daniel Stram, Ze-Zhong Tang, Philip R. Taylor, Lauren R. Teras, Geoffrey S. Tobias, David Van Den Berg, Kala Visvanathan, Sholom Wacholder, Jiu-Cun Wang, Zhaoming Wang, Nicolas Wentzensen, William Wheeler, Emily White, John K. Wiencke, Brian M. Wolpin, Maria Pik Wong, Chen Wu, Tangchun Wu, Xifeng Wu, Yi-Long Wu, Jay S. Wunder, Lucy Xia, Hannah P. Yang, Pan-Chyr Yang, Kai Yu, Krista A. Zanetti, Anne Zeleniuch-Jacquotte, Wei Zheng, Baosen Zhou, Regina G. Ziegler, Luis A. Perez-Jurado, Neil E. Caporaso, Nathaniel Rothman, Margaret Tucker, Michael C. Dean, Meredith Yeager, and Stephen J. Chanock
Subjects: Science
Abstract: It is unclear how often genetic mosaicism of chromosome X arises. Here, the authors examine women with cancer and cancer-free controls and show that X chromosome mosaicism occurs more frequently than on autosomes, especially on the inactive X chromosome, but is not linked to non-haematologic cancer risk
Published: 2016
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46. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Author: Alexander Gusev, Huwenbo Shi, Gleb Kichaev, Mark Pomerantz, Fugen Li, Henry W. Long, Sue A. Ingles, Rick A. Kittles, Sara S. Strom, Benjamin A. Rybicki, Barbara Nemesure, William B. Isaacs, Wei Zheng, Curtis A. Pettaway, Edward D. Yeboah, Yao Tettey, Richard B. Biritwum, Andrew A. Adjei, Evelyn Tay, Ann Truelove, Shelley Niwa, Anand P. Chokkalingam, Esther M. John, Adam B. Murphy, Lisa B. Signorello, John Carpten, M. Cristina Leske, Suh-Yuh Wu, Anslem J. M. Hennis, Christine Neslund-Dudas, Ann W. Hsing, Lisa Chu, Phyllis J. Goodman, Eric A. Klein, John S. Witte, Graham Casey, Sam Kaggwa, Michael B. Cook, Daniel O. Stram, William J. Blot, Rosalind A. Eeles, Douglas Easton, ZSofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. Fitzgerald, Henrik Gronberg, Fredrik Wiklund, Markus Aly, Brian E. Henderson, Johanna Schleutker, Tiina Wahlfors, Teuvo L. J. Tammela, Børge G. Nordestgaard, Tim J. Key, Ruth C. Travis, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Paul Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Dominika Wokolorczyk, Wojciech Kluzniak, Lisa Cannon-Albright, Craig Teerlink, Hermann Brenner, Aida K. Dieffenbach, Volker Arndt, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Chavdar Slavov, Radka Kaneva, Vanio Mitev, Jyotsna Batra, Amanda Spurdle, Judith A. Clements, Manuel R. Teixeira, Hardev Pandha, Agnieszka Michael, Paula Paulo, Sofia Maia, Andrzej Kierzek, The PRACTICAL consortium, David V. Conti, Demetrius Albanes, Christine Berg, Sonja I. Berndt, Daniele Campa, E. David Crawford, W. Ryan Diver, Susan M. Gapstur, J. Michael Gaziano, Edward Giovannucci, Robert Hoover, David J. Hunter, Mattias Johansson, Peter Kraft, Loic Le Marchand, Sara Lindström, Carmen Navarro, Kim Overvad, Elio Riboli, Afshan Siddiq, Victoria L. Stevens, Dimitrios Trichopoulos, Paolo Vineis, Meredith Yeager, Gosia Trynka, Soumya Raychaudhuri, Frederick R. Schumacher, Alkes L. Price, Matthew L. Freedman, Christopher A. Haiman, and Bogdan Pasaniuc
Subjects: Science
Abstract: Over one hundred loci have been identified to be associated with the familial risk of prostate cancer but the functional effects are poorly understood. Here the authors use single-nucleotide variant and epigentic data to show an underlying genetic architecture marked by histone modification.
Published: 2016
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47. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author: Sonja I. Berndt, Nicola J. Camp, Christine F. Skibola, Joseph Vijai, Zhaoming Wang, Jian Gu, Alexandra Nieters, Rachel S. Kelly, Karin E. Smedby, Alain Monnereau, Wendy Cozen, Angela Cox, Sophia S. Wang, Qing Lan, Lauren R. Teras, Moara Machado, Meredith Yeager, Angela R. Brooks-Wilson, Patricia Hartge, Mark P. Purdue, Brenda M. Birmann, Claire M. Vajdic, Pierluigi Cocco, Yawei Zhang, Graham G. Giles, Anne Zeleniuch-Jacquotte, Charles Lawrence, Rebecca Montalvan, Laurie Burdett, Amy Hutchinson, Yuanqing Ye, Timothy G. Call, Tait D. Shanafelt, Anne J. Novak, Neil E. Kay, Mark Liebow, Julie M. Cunningham, Cristine Allmer, Henrik Hjalgrim, Hans-Olov Adami, Mads Melbye, Bengt Glimelius, Ellen T. Chang, Martha Glenn, Karen Curtin, Lisa A. Cannon-Albright, W Ryan Diver, Brian K. Link, George J. Weiner, Lucia Conde, Paige M. Bracci, Jacques Riby, Donna K. Arnett, Degui Zhi, Justin M. Leach, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Núria Sala, Delphine Casabonne, Nikolaus Becker, Paolo Boffetta, Paul Brennan, Lenka Foretova, Marc Maynadie, James McKay, Anthony Staines, Kari G. Chaffee, Sara J. Achenbach, Celine M. Vachon, Lynn R. Goldin, Sara S. Strom, Jose F. Leis, J. Brice Weinberg, Neil E. Caporaso, Aaron D. Norman, Anneclaire J. De Roos, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Rudolph Kaaks, Giovanna Masala, Elisabete Weiderpass, María- Dolores Chirlaque, Roel C. H. Vermeulen, Ruth C. Travis, Melissa C. Southey, Roger L. Milne, Demetrius Albanes, Jarmo Virtamo, Stephanie Weinstein, Jacqueline Clavel, Tongzhang Zheng, Theodore R. Holford, Danylo J. Villano, Ann Maria, John J. Spinelli, Randy D. Gascoyne, Joseph M. Connors, Kimberly A. Bertrand, Edward Giovannucci, Peter Kraft, Anne Kricker, Jenny Turner, Maria Grazia Ennas, Giovanni M. Ferri, Lucia Miligi, Liming Liang, Baoshan Ma, Jinyan Huang, Simon Crouch, Ju-Hyun Park, Nilanjan Chatterjee, Kari E. North, John A. Snowden, Josh Wright, Joseph F. Fraumeni, Kenneth Offit, Xifeng Wu, Silvia de Sanjose, James R. Cerhan, Stephen J. Chanock, Nathaniel Rothman, and Susan L. Slager
Subjects: Science
Abstract: Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPPassociated with risk of this disease.
Published: 2016
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48. Association of Combined Sero-Positivity to Helicobacter pylori and Streptococcus gallolyticus with Risk of Colorectal Cancer

Author: Meira Epplein, Loïc Le Marchand, Timothy L. Cover, Mingyang Song, William J. Blot, Richard M. Peek, Lauren R. Teras, Kala Visvanathan, Yu Chen, Howard D. Sesso, Anne Zeleniuch-Jacquotte, Sonja I. Berndt, John D. Potter, Marc D. Ryser, Christopher A. Haiman, Sylvia Wassertheil-Smoller, Lesley F. Tinker, Tim Waterboer, and Julia Butt
Subjects: Helicobacter pylori, Streptococcus gallolyticus, colorectal cancer, sero-positivity, antibodies, Biology (General), QH301-705.5
Abstract: Previously, we found that risk of colorectal cancer (CRC) is increased in individuals with serum antibody response to both Helicobacter pylori (HP) Vacuolating Cytotoxin (VacA) toxin or Streptococcus gallolyticus (SGG) pilus protein Gallo2178. In the present analysis, we tested the hypothesis that combined seropositivity to both antigens is a better indicator of CRC risk than seropositivity to single antigens. We used multiplex serologic assays to analyze pre-diagnostic serum for antibody responses from 4063 incident CRC cases and 4063 matched controls from 10 US cohorts. To examine whether combined SGG Gallo2178 and HP VacA sero-status was associated with CRC risk, we used conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Compared to dual sero-negative individuals, there was no increased risk for individuals sero-positive to SGG Gallo2178 only (OR: 0.93; 95% CI: 0.66–1.31) or to HP VacA only (OR: 1.08; 95% CI: 0.98–1.19). However, dual sero-positive individuals had a >50% increased odds of developing CRC (OR: 1.54; 95% CI: 1.16–2.04), suggesting an interaction between antibody responses to these two pathogens and CRC risk (pinteraction = 0.06). In conclusion, this study suggests that dual sero-positivity to HP VacA and SGG Gallo2178 is an indicator of increased risk of CRC.
Published: 2020
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49. Sex Steroid Hormone Gene Variants, Pesticide Use and the Risk of Prostate Cancer: A Nested Case-Control Study within the Agricultural Health Study

Author: Carol H Christensen, Kathryn Hughes Barry, Gabriella Andreotti, Michael CR Alavanja, Michael B Cook, Scott P. Kelly, Laurie A. Burdette, Meredith Yeager, Laura E. Beane Freeman, Sonja I. Berndt, and Stella Koutros
Subjects: Pesticides, prostate cancer, Interaction, Single nucleotide polymorphism, sex steroid hormones, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Experimental and epidemiologic investigations suggest that certain pesticides may alter sex steroid hormone synthesis, metabolism or regulation and the risk of hormone-related cancers. Here we evaluated whether single nucleotide polymorphisms (SNPs) involved in hormone homeostasis alter the effect of pesticide exposure on prostate cancer risk. We evaluated pesticide–SNP interactions between 39 pesticides and SNPs with respect to prostate cancer among 776 cases and 1444 controls nested in the Agricultural Health Study cohort. In these interactions, we included candidate SNPs involved in hormone synthesis, metabolism and regulation (N=1100), as well as SNPs associated with circulating sex steroid concentrations as identified by genome-wide association studies (N=17). Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Multiplicative SNP–pesticide interactions were calculated using a likelihood ratio test. We translated p-values for interaction into q-values, which reflected the false discovery rate, to account for multiple comparisons. We observed a significant interaction, which was robust to multiple comparison testing, between the herbicide dicamba and rs8192166 in the testosterone metabolizing gene SRD5A1 (p-interaction=4.0x10-5; q-value=0.03), such that men with two copies of the wild-type genotype CC had a reduced risk of prostate cancer associated with low use of dicamba (OR=0.62 95% CI: 0.41, 0.93), and high use of dicamba (OR=0.44, 95% CI: 0.29, 0.68), compared to those who reported no use of dicamba; in contrast, there was no significant association between dicamba and prostate cancer among those carrying one or two copies of the variant T allele at rs8192166. In addition, interactions between two organophosphate insecticides and SNPs related to estradiol metabolism were observed to result in an increased risk of prostate cancer. While replication is needed, these data suggest both agonistic or antagonistic effects on circulating hormones, due to the combination of exposure to pesticides and genetic susceptibility, may impact prostate cancer risk.
Published: 2016
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50. The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk

Author: Gabriella Andreotti, Stella Koutros, Sonja I. Berndt, Kathryn Hughes Barry, Lifang Hou, Jane A. Hoppin, Dale P. Sandler, Jay H. Lubin, Laurie A. Burdette, Jeffrey Yuenger, Meredith Yeager, Laura E. Beane Freeman, and Michael C. R. Alavanja
Subjects: Medicine
Abstract: Background. Lipid metabolism processes have been implicated in prostate carcinogenesis. Since several pesticides are lipophilic or are metabolized via lipid-related mechanisms, they may interact with variants of genes in the lipid metabolism pathway. Methods. In a nested case-control study of 776 cases and 1444 controls from the Agricultural Health Study (AHS), a prospective cohort study of pesticide applicators, we examined the interactions between 39 pesticides (none, low, and high exposure) and 220 single nucleotide polymorphisms (SNPs) in 59 genes. The false discovery rate (FDR) was used to account for multiple comparisons. Results. We found 17 interactions that displayed a significant monotonic increase in prostate cancer risk with pesticide exposure in one genotype and no significant association in the other genotype. The most noteworthy association was for ALOXE3 rs3027208 and terbufos, such that men carrying the T allele who were low users had an OR of 1.86 (95% CI = 1.16–2.99) and high users an OR of 2.00 (95% CI = 1.28–3.15) compared to those with no use of terbufos, while men carrying the CC genotype did not exhibit a significant association. Conclusion. Genetic variation in lipid metabolism genes may modify pesticide associations with prostate cancer; however our results require replication.
Published: 2012
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