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1.  Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types 
Sampson, Joshua N. | Wheeler, William A. | Yeager, Meredith | Panagiotou, Orestis | Wang, Zhaoming | Berndt, Sonja I. | Lan, Qing | Abnet, Christian C. | Amundadottir, Laufey T. | Figueroa, Jonine D. | Landi, Maria Teresa | Mirabello, Lisa | Savage, Sharon A. | Taylor, Philip R. | Vivo, Immaculata De | McGlynn, Katherine A. | Purdue, Mark P. | Rajaraman, Preetha | Adami, Hans-Olov | Ahlbom, Anders | Albanes, Demetrius | Amary, Maria Fernanda | An, She-Juan | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Angelucci, Emanuele | Ansell, Stephen M. | Arici, Cecilia | Armstrong, Bruce K. | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Becker, Nikolaus | Benavente, Yolanda | Benhamou, Simone | Berg, Christine | Van Den Berg, David | Bernstein, Leslie | Bertrand, Kimberly A. | Birmann, Brenda M. | Black, Amanda | Boeing, Heiner | Boffetta, Paolo | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brinton, Louise | Brooks-Wilson, Angela R. | Bueno-de-Mesquita, H. Bas | Burdett, Laurie | Buring, Julie | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chan, John K. C. | Chang, Ellen T. | Chang, Gee-Chen | Chang, I-Shou | Chang, Jiang | Chang-Claude, Jenny | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chu | Chen, Chung-Hsing | Chen, Constance | Chen, Hongyan | Chen, Kexin | Chen, Kuan-Yu | Chen, Kun-Chieh | Chen, Ying | Chen, Ying-Hsiang | Chen, Yi-Song | Chen, Yuh-Min | Chien, Li-Hsin | Chirlaque, María-Dolores | Choi, Jin Eun | Choi, Yi Young | Chow, Wong-Ho | Chung, Charles C. | Clavel, Jacqueline | Clavel-Chapelon, Françoise | Cocco, Pierluigi | Colt, Joanne S. | Comperat, Eva | Conde, Lucia | Connors, Joseph M. | Conti, David | Cortessis, Victoria K. | Cotterchio, Michelle | Cozen, Wendy | Crouch, Simon | Crous-Bou, Marta | Cussenot, Olivier | Davis, Faith G. | Ding, Ti | Diver, W. Ryan | Dorronsoro, Miren | Dossus, Laure | Duell, Eric J. | Ennas, Maria Grazia | Erickson, Ralph L. | Feychting, Maria | Flanagan, Adrienne M. | Foretova, Lenka | Fraumeni, Joseph F. | Freedman, Neal D. | Beane Freeman, Laura E. | Fuchs, Charles | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | García-Closas, Reina | Gascoyne, Randy D. | Gastier-Foster, Julie | Gaudet, Mia M. | Gaziano, J. Michael | Giffen, Carol | Giles, Graham G. | Giovannucci, Edward | Glimelius, Bengt | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gorlick, Richard | Gross, Myron | Grubb, Robert | Gu, Jian | Guan, Peng | Gunter, Marc | Guo, Huan | Habermann, Thomas M. | Haiman, Christopher A. | Halai, Dina | Hallmans, Goran | Hassan, Manal | Hattinger, Claudia | He, Qincheng | He, Xingzhou | Helzlsouer, Kathy | Henderson, Brian | Henriksson, Roger | Hjalgrim, Henrik | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holford, Theodore R. | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Horn-Ross, Pamela L. | Hosain, G. M. Monawar | Hosgood, H. Dean | Hsiao, Chin-Fu | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Huerta, Jose-Maria | Hung, Jen-Yu | Hutchinson, Amy | Inskip, Peter D. | Jackson, Rebecca D. | Jacobs, Eric J. | Jenab, Mazda | Jeon, Hyo-Sung | Ji, Bu-Tian | Jin, Guangfu | Jin, Li | Johansen, Christoffer | Johnson, Alison | Jung, Yoo Jin | Kaaks, Rudolph | Kamineni, Aruna | Kane, Eleanor | Kang, Chang Hyun | Karagas, Margaret R. | Kelly, Rachel S. | Khaw, Kay-Tee | Kim, Christopher | Kim, Hee Nam | Kim, Jin Hee | Kim, Jun Suk | Kim, Yeul Hong | Kim, Young Tae | Kim, Young-Chul | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert J. | Kogevinas, Manolis | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kricker, Anne | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kweon, Sun-Seog | LaCroix, Andrea | Lawrence, Charles | Lecanda, Fernando | Lee, Victor Ho Fun | Li, Donghui | Li, Haixin | Li, Jihua | Li, Yao-Jen | Li, Yuqing | Liao, Linda M. | Liebow, Mark | Lightfoot, Tracy | Lim, Wei-Yen | Lin, Chien-Chung | Lin, Dongxin | Lindstrom, Sara | Linet, Martha S. | Link, Brian K. | Liu, Chenwei | Liu, Jianjun | Liu, Li | Ljungberg, Börje | Lloreta, Josep | Lollo, Simonetta Di | Lu, Daru | Lund, Eiluv | Malats, Nuria | Mannisto, Satu | Marchand, Loic Le | Marina, Neyssa | Masala, Giovanna | Mastrangelo, Giuseppe | Matsuo, Keitaro | Maynadie, Marc | McKay, James | McKean-Cowdin, Roberta | Melbye, Mads | Melin, Beatrice S. | Michaud, Dominique S. | Mitsudomi, Tetsuya | Monnereau, Alain | Montalvan, Rebecca | Moore, Lee E. | Mortensen, Lotte Maxild | Nieters, Alexandra | North, Kari E. | Novak, Anne J. | Oberg, Ann L. | Offit, Kenneth | Oh, In-Jae | Olson, Sara H. | Palli, Domenico | Pao, William | Park, In Kyu | Park, Jae Yong | Park, Kyong Hwa | Patiño-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Perng, Reury-Perng | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Qian, Biyun | Qiao, You-Lin | Rais, Marco | Riboli, Elio | Riby, Jacques | Risch, Harvey A. | Rizzato, Cosmeri | Rodabough, Rebecca | Roman, Eve | Roupret, Morgan | Ruder, Avima M. | de Sanjose, Silvia | Scelo, Ghislaine | Schned, Alan | Schumacher, Fredrick | Schwartz, Kendra | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Setiawan, Veronica Wendy | Severi, Gianluca | Severson, Richard K. | Shanafelt, Tait D. | Shen, Hongbing | Shen, Wei | Shin, Min-Ho | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesúmaga, Luis | Sihoe, Alan Dart Loon | Skibola, Christine F. | Smith, Alex | Smith, Martyn T. | Southey, Melissa C. | Spinelli, John J. | Staines, Anthony | Stampfer, Meir | Stern, Marianna C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael S. | Su, Jian | Su, Wu-Chou | Sund, Malin | Sung, Jae Sook | Sung, Sook Whan | Tan, Wen | Tang, Wei | Tardón, Adonina | Thomas, David | Thompson, Carrie A. | Tinker, Lesley F. | Tirabosco, Roberto | Tjønneland, Anne | Travis, Ruth C. | Trichopoulos, Dimitrios | Tsai, Fang-Yu | Tsai, Ying-Huang | Tucker, Margaret | Turner, Jenny | Vajdic, Claire M. | Vermeulen, Roel C. H. | Villano, Danylo J. | Vineis, Paolo | Virtamo, Jarmo | Visvanathan, Kala | Wactawski-Wende, Jean | Wang, Chaoyu | Wang, Chih-Liang | Wang, Jiu-Cun | Wang, Junwen | Wei, Fusheng | Weiderpass, Elisabete | Weiner, George J. | Weinstein, Stephanie | Wentzensen, Nicolas | White, Emily | Witzig, Thomas E. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Guoping | Wu, Junjie | Wu, Tangchun | Wu, Wei | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Xu, Ping | Yang, Pan-Chyr | Yang, Tsung-Ying | Ye, Yuanqing | Yin, Zhihua | Yokota, Jun | Yoon, Ho-Il | Yu, Chong-Jen | Yu, Herbert | Yu, Kai | Yuan, Jian-Min | Zelenetz, Andrew | Zeleniuch-Jacquotte, Anne | Zhang, Xu-Chao | Zhang, Yawei | Zhao, Xueying | Zhao, Zhenhong | Zheng, Hong | Zheng, Tongzhang | Zheng, Wei | Zhou, Baosen | Zhu, Meng | Zucca, Mariagrazia | Boca, Simina M. | Cerhan, James R. | Ferri, Giovanni M. | Hartge, Patricia | Hsiung, Chao Agnes | Magnani, Corrado | Miligi, Lucia | Morton, Lindsay M. | Smedby, Karin E. | Teras, Lauren R. | Vijai, Joseph | Wang, Sophia S. | Brennan, Paul | Caporaso, Neil E. | Hunter, David J. | Kraft, Peter | Rothman, Nathaniel | Silverman, Debra T. | Slager, Susan L. | Chanock, Stephen J. | Chatterjee, Nilanjan
Background:
Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.
Methods:
Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.
Results:
GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl 2, on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.
Conclusion:
Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
doi:10.1093/jnci/djv279
PMCID: PMC4806328  PMID: 26464424
2.  Personal History of Prostate Cancer and Increased Risk of Incident Melanoma in the United States 
Journal of Clinical Oncology  2013;31(35):4394-4399.
Purpose
Steroid hormones, particularly androgens, play a major role in prostatic carcinogenesis. Personal history of severe acne, a surrogate for higher androgen activity, has been associated with an increased risk of prostate cancer (PCa), and one recent study indicated that severe teenage acne was a novel risk factor for melanoma. These findings suggest a possible relationship between PCa and risk of melanoma. We prospectively evaluated this association among US men.
Methods
A total of 42,372 participants in the Health Professionals' Follow-Up Study (HPFS; 1986 to 2010) were included. Biennially self-reported PCa diagnosis was confirmed using pathology reports. Diagnosis of melanoma and nonmelanoma skin cancer (NMSC) was self-reported biennially, and diagnosis of melanoma was pathologically confirmed. We sought to confirm the association in 18,603 participants from the Physicians' Health Study (PHS; 1982 to 1998).
Results
We identified 539 melanomas in the HPFS. Personal history of PCa was associated with an increased risk of melanoma (multivariate-adjusted hazard ratio [HR], 1.83; 95% CI, 1.32 to 2.54). Although we also detected a marginally increased risk of NMSC associated with PCa (HR, 1.08; 95% CI, 0.995 to 1.16), the difference in the magnitude of the association between melanoma and NMSC was significant (P for heterogeneity = .002). We did not find an altered risk of melanoma associated with personal history of other cancers. The association between PCa and risk of incident melanoma was confirmed in the PHS (HR, 2.17; 95% CI, 1.12 to 4.21).
Conclusion
Personal history of PCa is associated with an increased risk of melanoma, which may not be entirely a result of greater medical scrutiny.
doi:10.1200/JCO.2013.51.1915
PMCID: PMC3842907  PMID: 24190118
3.  Index-Based Dietary Patterns and Risk of Esophageal and Gastric Cancer in a Large Cohort Study 
Background & Aims
Diet could affect risk for esophageal and gastric cancers, but associations have been inconsistent. The diet is complex, so studies of dietary patterns, rather than studies of individual foods, might be more likely to identify cancer risk factors. There is limited research on index-based dietary patterns and esophageal and gastric cancers. We prospectively evaluated associations between the Healthy Eating Index-2005 (HEI-2005) and alternate Mediterranean Diet (aMED) scores and risk of esophageal and gastric cancers.
Methods
We analyzed data from 494,968 participants in the National Institutes of Health (NIH)-AARP Diet and Health study, in which AARP members (51–70 y old) completed a self-administered baseline food frequency questionnaire between 1995 and 1996. Their answers were used to estimate scores for each index.
Results
During the follow-up period (1995–2006), participants developed 215 esophageal squamous cell carcinomas (ESCCs), 633 esophageal adenocarcinomas (EACs), 453 gastric cardia adenocarcinomas, and 501 gastric non-cardia adenocarcinomas. Higher scores from the HEI-2005 were associated with a reduced risk of ESCC (comparing the highest quintile with the lowest: hazard ratio [HR], 0.51; 95% confidence interval [CI], 0.31–0.86; Ptrend=.001) and EAC (HR, 0.75; 95% CI, 0.57–0.98; Ptrend=.01). We observed an inverse association between ESCC, but not EAC, and higher aMED score (meaning a higher-quality diet). HEI-2005 and aMED scores were not significantly associated with gastric cardia or noncardia adenocarcinomas.
Conclusions
Using data collected from 1995 through 2006 from the NIH-AARP Diet and Health Study, HEI-2005 and aMED scores were inversely associated with risk for esophageal cancers—particularly ESCC. Adherence to dietary recommendations might help prevent esophageal cancers.
doi:10.1016/j.cgh.2013.03.023
PMCID: PMC3758458  PMID: 23591281
food habits; esophageal neoplasms; stomach neoplasms
4.  Dysplastic Nevi and Melanoma 
Dysplastic nevi (DN) are described as being on a continuum between common acquired nevi and melanoma because they are morphologically and biologically intermediate between these two entities. Since initially being reported as histologic lesions observed in melanoma-prone families, there has been considerable debate about the definition of dysplastic nevi, the histologic and clinical criteria used to define them, and their biological importance. Their role as precursor lesions for melanoma is not their primary role in their relationship to melanoma because of the rarity of transformation of any individual nevus to a melanoma. Although there is still no single universally agreed upon histologic or clinical definition or even name for these nevi, dysplastic nevi should be considered important because of their association with an increased risk for melanoma.
doi:10.1158/1055-9965.EPI-12-1346
PMCID: PMC3616416  PMID: 23549396
5.  Common genetic variants in epigenetic machinery genes and risk of upper gastrointestinal cancers 
Background: Populations in north central China are at high risk for oesophageal squamous cell carcinoma (ESCC) and gastric cancer (GC), and genetic variation in epigenetic machinery genes and pathways may contribute to this risk.
Methods: We used the adaptive multilocus joint test to analyse 192 epigenetic genes involved in chromatin remodelling, DNA methylation and microRNA biosynthesis in 1942 ESCC and 1758 GC cases [1126 cardia (GCA) and 632 non-cardia adenocarcinoma (GNCA)] and 2111 controls with Chinese ancestry. We examined potential function of risk alleles using in silico and expression quantitative trait loci (eQTLs) analyses.
Results: Suggestive pathway-based associations were observed for the overall epigenetic (P-valuePATH = 0.034) and chromatin remodelling (P-valuePATH = 0.039) pathways with risk of GCA, but not GC, GNCA or ESCC. Overall, 37 different epigenetic machinery genes were associated with risk of one or more upper gastrointestinal (UGI) cancer sites (P-valueGENE < 0.05), including 14 chromatin remodelling genes whose products are involved in the regulation of HOX genes. We identified a gastric eQTL (rs12724079; rho = 0.37; P = 0.0006) which regulates mRNA expression of ASH1L. Several suggestive eQTLs were also found in oesophageal (rs10898459 in EED), gastric cardia (rs7157322 in DICER1; rs8179271 in ASH1L), and gastric non-cardia (rs1790733 in PPP1CA) tissues.
Conclusions: Results of our analyses provide limited but suggestive evidence for a role of epigenetic gene variation in the aetiology of UGI cancer.
doi:10.1093/ije/dyv050
PMCID: PMC4598798  PMID: 25921222
Epigenetics; chromatin remodelling; DNA methylation; microRNA; oesophageal squamous cell carcinoma; gastric cancer; gastric cardia; gastric non-cardia; SNP; gene-based; pathway-based
6.  Risk factors for esophageal and gastric cancers in Shanxi Province, China: A case-control study 
Cancer epidemiology  2011;35(6):e91-e99.
Objective
Smoking and alcohol consumption explain little of the risk for upper-gastrointestinal (UGI) cancer in China, where over half of all cases in the world occur.
Methods
We evaluated questionnaire-based risk factors for UGI cancers in a case-control study from Shanxi Province, China, including 600 esophageal squamous cell carcinomas (ESCC), 599 gastric cardia adenocarcinomas (GCA), 316 gastric noncardia adenocarcinomas (GNCA), and 1514 age- and gender-matched controls.
Results
Ever smoking and ever use of any alcohol were not associated with risk of UGI cancer; only modest associations were observed between ESCC risk and highest cumulative smoking exposure, as well as GNCA risk and beer drinking. While several associations were noted for socioeconomic and some dietary variables with one or two UGI cancers, the strongest and most consistent relations for all three individual UGI cancers were observed for consumption of scalding hot foods (risk increased 150% to 219% for daily vs never users) and fresh vegetables and fruits (risk decreased 48% to 70% for vegetables and 46% to 68% for fruits, respectively, for high vs low quartiles).
Conclusion
This study confirms the minor role of tobacco and alcohol in UGI cancers in this region, and highlights thermal damage as a leading etiologic factor.
doi:10.1016/j.canep.2011.06.006
PMCID: PMC3215853  PMID: 21846596
smoking; alcohol; socioeconomic status; diet
7.  Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome 
Machiela, Mitchell J. | Zhou, Weiyin | Karlins, Eric | Sampson, Joshua N. | Freedman, Neal D. | Yang, Qi | Hicks, Belynda | Dagnall, Casey | Hautman, Christopher | Jacobs, Kevin B. | Abnet, Christian C. | Aldrich, Melinda C. | Amos, Christopher | Amundadottir, Laufey T. | Arslan, Alan A. | Beane-Freeman, Laura E. | Berndt, Sonja I. | Black, Amanda | Blot, William J. | Bock, Cathryn H. | Bracci, Paige M. | Brinton, Louise A. | Bueno-de-Mesquita, H Bas | Burdett, Laurie | Buring, Julie E. | Butler, Mary A. | Canzian, Federico | Carreón, Tania | Chaffee, Kari G. | Chang, I-Shou | Chatterjee, Nilanjan | Chen, Chu | Chen, Constance | Chen, Kexin | Chung, Charles C. | Cook, Linda S. | Crous Bou, Marta | Cullen, Michael | Davis, Faith G. | De Vivo, Immaculata | Ding, Ti | Doherty, Jennifer | Duell, Eric J. | Epstein, Caroline G. | Fan, Jin-Hu | Figueroa, Jonine D. | Fraumeni, Joseph F. | Friedenreich, Christine M. | Fuchs, Charles S. | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Gaudet, Mia M. | Gaziano, J. Michael | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goldin, Lynn | Goldstein, Alisa M. | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Henriksson, Roger | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hsiung, Chao A. | Hu, Nan | Hu, Wei | Hunter, David J. | Hutchinson, Amy | Jenab, Mazda | Johansen, Christoffer | Khaw, Kay-Tee | Kim, Hee Nam | Kim, Yeul Hong | Kim, Young Tae | Klein, Alison P. | Klein, Robert | Koh, Woon-Puay | Kolonel, Laurence N. | Kooperberg, Charles | Kraft, Peter | Krogh, Vittorio | Kurtz, Robert C. | LaCroix, Andrea | Lan, Qing | Landi, Maria Teresa | Marchand, Loic Le | Li, Donghui | Liang, Xiaolin | Liao, Linda M. | Lin, Dongxin | Liu, Jianjun | Lissowska, Jolanta | Lu, Lingeng | Magliocco, Anthony M. | Malats, Nuria | Matsuo, Keitaro | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Mirabello, Lisa | Moore, Lee | Olson, Sara H. | Orlow, Irene | Park, Jae Yong | Patiño-Garcia, Ana | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Pooler, Loreall | Prescott, Jennifer | Prokunina-Olsson, Ludmila | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Real, Francisco X. | Riboli, Elio | Risch, Harvey A. | Rodriguez-Santiago, Benjamin | Ruder, Avima M. | Savage, Sharon A. | Schumacher, Fredrick | Schwartz, Ann G. | Schwartz, Kendra L. | Seow, Adeline | Wendy Setiawan, Veronica | Severi, Gianluca | Shen, Hongbing | Sheng, Xin | Shin, Min-Ho | Shu, Xiao-Ou | Silverman, Debra T. | Spitz, Margaret R. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael | Stram, Daniel | Tang, Ze-Zhong | Taylor, Philip R. | Teras, Lauren R. | Tobias, Geoffrey S. | Van Den Berg, David | Visvanathan, Kala | Wacholder, Sholom | Wang, Jiu-Cun | Wang, Zhaoming | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolpin, Brian M. | Wong, Maria Pik | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xia, Lucy | Yang, Hannah P. | Yang, Pan-Chyr | Yu, Kai | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Ziegler, Regina G. | Perez-Jurado, Luis A. | Caporaso, Neil E. | Rothman, Nathaniel | Tucker, Margaret | Dean, Michael C. | Yeager, Meredith | Chanock, Stephen J.
Nature Communications  2016;7:11843.
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.
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
doi:10.1038/ncomms11843
PMCID: PMC4909985  PMID: 27291797
8.  Lack of germline PALB2 mutations in melanoma-prone families with CDKN2A mutations and pancreatic cancer 
Familial cancer  2011;10(3):545-548.
The presence of pancreatic cancer (PC) in melanoma-prone families has been consistently associated with an increased frequency of CDKN2A mutations, the major high-risk susceptibility gene identified for melanoma. However, the precise relationship between CDKN2A, melanoma and PC remains unknown. We evaluated a recently identified PC susceptibility gene PALB2 using both sequencing and tagging to determine whether PALB2 might explain part of the relationship between CDKN2A, melanoma, and PC. No disease-related mutations were identified from sequencing PALB2 in multiple pancreatic cancer patients or other mutation carrier relatives of PC patients from the eight melanoma-prone families with CDKN2A mutations and PC. In addition, no significant associations were observed between 11 PALB2 tagging SNPs and melanoma risk in 23 melanoma-prone families with CDKN2A mutations or the subset of 11 families with PC or PC-related CDKN2A mutations. The results suggested that PALB2 does not explain the relationship between CDKN2A, melanoma, and pancreatic cancer in these melanoma-prone families.
doi:10.1007/s10689-011-9447-9
PMCID: PMC3244023  PMID: 21614589
CDKN2A; PALB2; familial melanoma; pancreatic cancer; germline mutation
9.  CDKN2A Mutations and Melanoma Risk in the Icelandic Population 
Journal of medical genetics  2008;45(5):284-289.
Background
Germline CDKN2A mutations have been observed in 20-40% of high-risk melanoma-prone families, however little is known about their prevalence in population-based series of melanoma cases and controls.
Methods
We resequenced the CDKN2A gene, including the p14ARF variant and promoter regions, in approximately 703 registry-ascertained melanoma cases and 691 population-based controls from Iceland, a country in which the incidence of melanoma has increased rapidly.
Results
We identified a novel germline variant, G89D that was strongly associated with increased melanoma risk and appeared to be an Icelandic founder mutation. The G89D variant was present in about 2% of Icelandic invasive cutaneous malignant melanoma cases. Relatives of affected G89D carriers were at significantly increased risk of melanoma, head & neck cancers, and pancreatic carcinoma compared to relatives of other melanoma patients. Nineteen other germline variants were identified, but none conferred an unequivocal risk of melanoma.
Conclusions
This population-based study of Icelandic melanoma cases and controls showed a frequency of disease-related CDKN2A mutant alleles ranging from 0.7% to 1.0%, thus expanding our knowledge about the frequency of CDKN2A mutations in different populations. In contrast to North America and Australia where a broad spectrum of mutations was observed at a similar frequency, in Iceland, functional CDKN2A mutations consists of only one or two different variants. Additional genetic and/or environmental factors are likely critical for explaining the high incidence rates for melanoma in Iceland. This study adds to the geographic regions for which population-based estimates of CDKN2A mutation frequencies are available.
doi:10.1136/jmg.2007.055376
PMCID: PMC3236640  PMID: 18178632
melanoma; CDKN2A; G89D; pancreatic cancer; population-based
10.  Features associated with germline CDKN2A mutations: a GenoMEL study of melanoma‐prone families from three continents 
Journal of Medical Genetics  2006;44(2):99-106.
Background
The major factors individually reported to be associated with an increased frequency of CDKN2A mutations are increased number of patients with melanoma in a family, early age at melanoma diagnosis, and family members with multiple primary melanomas (MPM) or pancreatic cancer.
Methods
These four features were examined in 385 families with ⩾3 patients with melanoma pooled by 17 GenoMEL groups, and these attributes were compared across continents.
Results
Overall, 39% of families had CDKN2A mutations ranging from 20% (32/162) in Australia to 45% (29/65) in North America to 57% (89/157) in Europe. All four features in each group, except pancreatic cancer in Australia (p = 0.38), individually showed significant associations with CDKN2A mutations, but the effects varied widely across continents. Multivariate examination also showed different predictors of mutation risk across continents. In Australian families, ⩾2 patients with MPM, median age at melanoma diagnosis ⩽40 years and ⩾6 patients with melanoma in a family jointly predicted the mutation risk. In European families, all four factors concurrently predicted the risk, but with less stringent criteria than in Australia. In North American families, only ⩾1 patient with MPM and age at diagnosis ⩽40 years simultaneously predicted the mutation risk.
Conclusions
The variation in CDKN2A mutations for the four features across continents is consistent with the lower melanoma incidence rates in Europe and higher rates of sporadic melanoma in Australia. The lack of a pancreatic cancer–CDKN2A mutation relationship in Australia probably reflects the divergent spectrum of mutations in families from Australia versus those from North America and Europe. GenoMEL is exploring candidate host, genetic and/or environmental risk factors to better understand the variation observed.
doi:10.1136/jmg.2006.043802
PMCID: PMC2598064  PMID: 16905682
melanoma;  CDKN2A ; multiple primary melanomas; pancreatic cancer
11.  Common genetic variants related to vitamin D status are not associated with esophageal squamous cell carcinoma risk in China 
Cancer epidemiology  2015;39(2):157-159.
Background
Few studies have examined the association of common genetic variants related to vitamin D metabolism and signaling to esophageal squamous cell carcinoma(ESCC).
Methods
We evaluated the association between 12 single nucleotide polymorphisms(SNPs) in four genes related to vitamin D levels and ESCC risk using data from a genome-wide association study. Participants were recruited from the Shanxi Upper Gastrointestinal Cancer Genetics Project and the Linxian Nutrition Intervention Trials, and included 1942 ESCC cases and 2111controls. We used logistic models to estimate odds ratios(ORs) and 95% confidence intervals(CIs) for the SNP associations, after controlling for age and gender.
Results
None of the 12 evaluated SNPs in the four vitamin D-related genes were significantly associated with risk of ESCC. The strongest associations were for rs3794060(P=0.07) and rs12800438(P=0.08) in the DHCR7/NADSYN1gene. No association between vitamin D-related SNPs and risk of ESCC was observed in a genotype score analysis that included all 12 SNPs. ORs for quartiles 2, 3 and 4 of the genotype scores were 0.83 (95% CI: 0.68, 1.01), 1.02(0.85, 1.21), and 1.08 (0.89, 1.30), respectively, with no evidence for a significant monotonic trend(P=0.120).
Conclusions
Our results suggested that common genetic variants related to vitamin D levels are not associated with risk of ESCC in this Chinese population.
doi:10.1016/j.canep.2014.12.013
PMCID: PMC4382354  PMID: 25631780
vitamin D; genetic variants; esophageal squamous cell carcinoma; China
12.  Unconditional analyses can increase efficiency in assessing gene-environment interaction of the case-combined-control design 
Background
A design combining both related and unrelated controls, named the case-combined-control design, was recently proposed to increase the power to detect gene-environment (GxE) interaction. Under a conditional analytic approach, the case-combined-control design appeared more efficient and feasible than a classical case-control study for detecting interaction involving rare events.
Methods
We now propose an unconditional analytic strategy to further increase the power for detecting gene-environment [GxE] interactions. This strategy allows estimation of the GxE interaction and exposure [E] main effects under certain assumptions (e.g. no correlation in E between siblings and the same exposure frequency in both control groups). Only the genetic [G] main effect cannot be estimated because it is biased.
Results
Using simulations, we show that unconditional logistic regression analysis is often more efficient than conditional analysis to detect GxE interaction, particularly for a rare gene and strong effects. The unconditional analysis is also at least as efficient as the conditional analysis when the gene is common and the main and joint effects of E and G are small.
Conclusions
Under the required assumptions, the unconditional analysis retains more information than does the conditional analysis for which only discordant case-control pairs are informative leading to more precise estimates of the odds ratios.
doi:10.1093/ije/dyl048
PMCID: PMC2080880  PMID: 16556643
Case-Control Studies; Computer Simulation; Control Groups; Environment; Family; Genetic Predisposition to Disease; Humans; Inheritance Patterns; Logistic Models; Sample Size
13.  Histological Features of Melanoma Associated with CDKN2A Genotype 
Background
Inherited susceptibility genes have been associated with histopathologic characteristics of tumors.
Objective
To identify associations between histology of melanomas and CDKN2A genotype.
Methods
Case-control study design comparing 28 histopathologic tumor features among individuals with sporadic melanomas (N=81) and cases from melanoma families with (N=123) and without (N=120) CDKN2A germline mutations.
Results
Compared with CDKN2A-negative cases, mutation carriers tended to have histologic features of superficial spreading melanoma subtype including higher pigmentation (ptrend=0.02) and increased pagetoid scatter (ptrend=0.07) after adjusting for age at diagnosis, sex, and AJCC thickness category. Similar associations were observed when comparing mutation carriers to a combined group of CDKN2A-negative (wild type) and sporadic melanomas. The presence of spindle cell morphology in the vertical growth phase was also an important predictor of genotype. Of the fifteen cases with this phenotype, none were observed to harbor a CDKN2A mutation.
Limitations
Our study examined rare mutations and may have been underpowered to detect small, but biologically significant associations between histology and genotype.
Conclusion
Familial melanomas with CDKN2A mutations preferentially express a histologic phenotype of dense pigmentation, high pagetoid scatter, and a non-spindle cell morphology in the vertical growth phase.
doi:10.1016/j.jaad.2014.11.014
PMCID: PMC4333073  PMID: 25592620
Familial melanoma; sporadic melanoma; CDKN2A; histology; Classification and Regression Tree (CART) analysis; pigmentation; pagetoid scatter; genetic testing
14.  Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma 
Law, Matthew H. | Bishop, D. Timothy | Lee, Jeffrey E. | Brossard, Myriam | Martin, Nicholas G. | Moses, Eric K. | Song, Fengju | Barrett, Jennifer H. | Kumar, Rajiv | Easton, Douglas F. | Pharoah, Paul D. P. | Swerdlow, Anthony J. | Kypreou, Katerina P. | Taylor, John C. | Harland, Mark | Randerson-Moor, Juliette | Akslen, Lars A. | Andresen, Per A. | Avril, Marie-Françoise | Azizi, Esther | Scarrà, Giovanna Bianchi | Brown, Kevin M. | Dȩbniak, Tadeusz | Duffy, David L. | Elder, David E. | Fang, Shenying | Friedman, Eitan | Galan, Pilar | Ghiorzo, Paola | Gillanders, Elizabeth M. | Goldstein, Alisa M. | Gruis, Nelleke A. | Hansson, Johan | Helsing, Per | Hočevar, Marko | Höiom, Veronica | Ingvar, Christian | Kanetsky, Peter A. | Chen, Wei V. | Landi, Maria Teresa | Lang, Julie | Lathrop, G. Mark | Lubiński, Jan | Mackie, Rona M. | Mann, Graham J. | Molven, Anders | Montgomery, Grant W. | Novaković, Srdjan | Olsson, Håkan | Puig, Susana | Puig-Butille, Joan Anton | Qureshi, Abrar A. | Radford-Smith, Graham L. | van der Stoep, Nienke | van Doorn, Remco | Whiteman, David C. | Craig, Jamie E. | Schadendorf, Dirk | Simms, Lisa A. | Burdon, Kathryn P. | Nyholt, Dale R. | Pooley, Karen A. | Orr, Nicholas | Stratigos, Alexander J. | Cust, Anne E. | Ward, Sarah V. | Hayward, Nicholas K. | Han, Jiali | Schulze, Hans-Joachim | Dunning, Alison M. | Bishop, Julia A. Newton | Demenais, Florence | Amos, Christopher I. | MacGregor, Stuart | Iles, Mark M.
Nature genetics  2015;47(9):987-995.
Thirteen common susceptibility loci have been reproducibly associated with cutaneous malignant melanoma (CMM). We report the results of an international two-stage meta-analysis of 11 genome-wide association studies (GWAS, five unpublished) of CMM and Stage two datasets, totaling 15,990 cases and 26,409 controls. Five loci not previously associated with CMM risk reached genome-wide significance (P < 5×10−8) as did two previously-reported but un-replicated loci and all thirteen established loci. Novel SNPs fall within putative melanocyte regulatory elements, and bioinformatic and eQTL data highlight candidate genes including one involved in telomere biology.
doi:10.1038/ng.3373
PMCID: PMC4557485  PMID: 26237428
15.  Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma 
Law, Matthew H. | Bishop, D. Timothy | Lee, Jeffrey E. | Brossard, Myriam | Martin, Nicholas G. | Moses, Eric K. | Song, Fengju | Barrett, Jennifer H. | Kumar, Rajiv | Easton, Douglas F. | Pharoah, Paul D. P. | Swerdlow, Anthony J. | Kypreou, Katerina P. | Taylor, John C. | Harland, Mark | Randerson-Moor, Juliette | Akslen, Lars A. | Andresen, Per A. | Avril, Marie-Françoise | Azizi, Esther | Scarrà, Giovanna Bianchi | Brown, Kevin M. | Dębniak, Tadeusz | Duffy, David L. | Elder, David E. | Fang, Shenying | Friedman, Eitan | Galan, Pilar | Ghiorzo, Paola | Gillanders, Elizabeth M. | Goldstein, Alisa M. | Gruis, Nelleke A. | Hansson, Johan | Helsing, Per | Hočevar, Marko | Höiom, Veronica | Ingvar, Christian | Kanetsky, Peter A. | Chen, Wei V. | Landi, Maria Teresa | Lang, Julie | Lathrop, G. Mark | Lubiński, Jan | Mackie, Rona M. | Mann, Graham J. | Molven, Anders | Montgomery, Grant W. | Novaković, Srdjan | Olsson, Håkan | Puig, Susana | Puig-Butille, Joan Anton | Qureshi, Abrar A. | Radford-Smith, Graham L. | van der Stoep, Nienke | van Doorn, Remco | Whiteman, David C. | Craig, Jamie E. | Schadendorf, Dirk | Simms, Lisa A. | Burdon, Kathryn P. | Nyholt, Dale R. | Pooley, Karen A. | Orr, Nick | Stratigos, Alexander J. | Cust, Anne E. | Ward, Sarah V. | Hayward, Nicholas K. | Han, Jiali | Schulze, Hans-Joachim | Dunning, Alison M. | Bishop, Julia A. Newton | Demenais, Florence | Amos, Christopher I. | MacGregor, Stuart | Iles, Mark M.
Nature genetics  2015;47(9):987-995.
Thirteen common susceptibility loci have been reproducibly associated with cutaneous malignant melanoma (CMM). We report the results of an international 2-stage meta-analysis of CMM genome-wide association studies (GWAS). This meta-analysis combines 11 GWAS (5 previously unpublished) and a further three stage 2 data sets, totaling 15,990 CMM cases and 26,409 controls. Five loci not previously associated with CMM risk reached genome-wide significance (P < 5×10–8), as did two previously-reported but un-replicated loci and all thirteen established loci. Novel SNPs fall within putative melanocyte regulatory elements, and bioinformatic and expression quantitative trait locus (eQTL) data highlight candidate genes including one involved in telomere biology.
doi:10.1038/ng.3373
PMCID: PMC4557485  PMID: 26237428
16.  Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33 
Wang, Zhaoming | Zhu, Bin | Zhang, Mingfeng | Parikh, Hemang | Jia, Jinping | Chung, Charles C. | Sampson, Joshua N. | Hoskins, Jason W. | Hutchinson, Amy | Burdette, Laurie | Ibrahim, Abdisamad | Hautman, Christopher | Raj, Preethi S. | Abnet, Christian C. | Adjei, Andrew A. | Ahlbom, Anders | Albanes, Demetrius | Allen, Naomi E. | Ambrosone, Christine B. | Aldrich, Melinda | Amiano, Pilar | Amos, Christopher | Andersson, Ulrika | Andriole, Gerald | Andrulis, Irene L. | Arici, Cecilia | Arslan, Alan A. | Austin, Melissa A. | Baris, Dalsu | Barkauskas, Donald A. | Bassig, Bryan A. | Beane Freeman, Laura E. | Berg, Christine D. | Berndt, Sonja I. | Bertazzi, Pier Alberto | Biritwum, Richard B. | Black, Amanda | Blot, William | Boeing, Heiner | Boffetta, Paolo | Bolton, Kelly | Boutron-Ruault, Marie-Christine | Bracci, Paige M. | Brennan, Paul | Brinton, Louise A. | Brotzman, Michelle | Bueno-de-Mesquita, H. Bas | Buring, Julie E. | Butler, Mary Ann | Cai, Qiuyin | Cancel-Tassin, Geraldine | Canzian, Federico | Cao, Guangwen | Caporaso, Neil E. | Carrato, Alfredo | Carreon, Tania | Carta, Angela | Chang, Gee-Chen | Chang, I-Shou | Chang-Claude, Jenny | Che, Xu | Chen, Chien-Jen | Chen, Chih-Yi | Chen, Chung-Hsing | Chen, Constance | Chen, Kuan-Yu | Chen, Yuh-Min | Chokkalingam, Anand P. | Chu, Lisa W. | Clavel-Chapelon, Francoise | Colditz, Graham A. | Colt, Joanne S. | Conti, David | Cook, Michael B. | Cortessis, Victoria K. | Crawford, E. David | Cussenot, Olivier | Davis, Faith G. | De Vivo, Immaculata | Deng, Xiang | Ding, Ti | Dinney, Colin P. | Di Stefano, Anna Luisa | Diver, W. Ryan | Duell, Eric J. | Elena, Joanne W. | Fan, Jin-Hu | Feigelson, Heather Spencer | Feychting, Maria | Figueroa, Jonine D. | Flanagan, Adrienne M. | Fraumeni, Joseph F. | Freedman, Neal D. | Fridley, Brooke L. | Fuchs, Charles S. | Gago-Dominguez, Manuela | Gallinger, Steven | Gao, Yu-Tang | Gapstur, Susan M. | Garcia-Closas, Montserrat | Garcia-Closas, Reina | Gastier-Foster, Julie M. | Gaziano, J. Michael | Gerhard, Daniela S. | Giffen, Carol A. | Giles, Graham G. | Gillanders, Elizabeth M. | Giovannucci, Edward L. | Goggins, Michael | Gokgoz, Nalan | Goldstein, Alisa M. | Gonzalez, Carlos | Gorlick, Richard | Greene, Mark H. | Gross, Myron | Grossman, H. Barton | Grubb, Robert | Gu, Jian | Guan, Peng | Haiman, Christopher A. | Hallmans, Goran | Hankinson, Susan E. | Harris, Curtis C. | Hartge, Patricia | Hattinger, Claudia | Hayes, Richard B. | He, Qincheng | Helman, Lee | Henderson, Brian E. | Henriksson, Roger | Hoffman-Bolton, Judith | Hohensee, Chancellor | Holly, Elizabeth A. | Hong, Yun-Chul | Hoover, Robert N. | Hosgood, H. Dean | Hsiao, Chin-Fu | Hsing, Ann W. | Hsiung, Chao Agnes | Hu, Nan | Hu, Wei | Hu, Zhibin | Huang, Ming-Shyan | Hunter, David J. | Inskip, Peter D. | Ito, Hidemi | Jacobs, Eric J. | Jacobs, Kevin B. | Jenab, Mazda | Ji, Bu-Tian | Johansen, Christoffer | Johansson, Mattias | Johnson, Alison | Kaaks, Rudolf | Kamat, Ashish M. | Kamineni, Aruna | Karagas, Margaret | Khanna, Chand | Khaw, Kay-Tee | Kim, Christopher | Kim, In-Sam | Kim, Jin Hee | Kim, Yeul Hong | Kim, Young-Chul | Kim, Young Tae | Kang, Chang Hyun | Jung, Yoo Jin | Kitahara, Cari M. | Klein, Alison P. | Klein, Robert | Kogevinas, Manolis | Koh, Woon-Puay | Kohno, Takashi | Kolonel, Laurence N. | Kooperberg, Charles | Kratz, Christian P. | Krogh, Vittorio | Kunitoh, Hideo | Kurtz, Robert C. | Kurucu, Nilgun | Lan, Qing | Lathrop, Mark | Lau, Ching C. | Lecanda, Fernando | Lee, Kyoung-Mu | Lee, Maxwell P. | Le Marchand, Loic | Lerner, Seth P. | Li, Donghui | Liao, Linda M. | Lim, Wei-Yen | Lin, Dongxin | Lin, Jie | Lindstrom, Sara | Linet, Martha S. | Lissowska, Jolanta | Liu, Jianjun | Ljungberg, Börje | Lloreta, Josep | Lu, Daru | Ma, Jing | Malats, Nuria | Mannisto, Satu | Marina, Neyssa | Mastrangelo, Giuseppe | Matsuo, Keitaro | McGlynn, Katherine A. | McKean-Cowdin, Roberta | McNeill, Lorna H. | McWilliams, Robert R. | Melin, Beatrice S. | Meltzer, Paul S. | Mensah, James E. | Miao, Xiaoping | Michaud, Dominique S. | Mondul, Alison M. | Moore, Lee E. | Muir, Kenneth | Niwa, Shelley | Olson, Sara H. | Orr, Nick | Panico, Salvatore | Park, Jae Yong | Patel, Alpa V. | Patino-Garcia, Ana | Pavanello, Sofia | Peeters, Petra H. M. | Peplonska, Beata | Peters, Ulrike | Petersen, Gloria M. | Picci, Piero | Pike, Malcolm C. | Porru, Stefano | Prescott, Jennifer | Pu, Xia | Purdue, Mark P. | Qiao, You-Lin | Rajaraman, Preetha | Riboli, Elio | Risch, Harvey A. | Rodabough, Rebecca J. | Rothman, Nathaniel | Ruder, Avima M. | Ryu, Jeong-Seon | Sanson, Marc | Schned, Alan | Schumacher, Fredrick R. | Schwartz, Ann G. | Schwartz, Kendra L. | Schwenn, Molly | Scotlandi, Katia | Seow, Adeline | Serra, Consol | Serra, Massimo | Sesso, Howard D. | Severi, Gianluca | Shen, Hongbing | Shen, Min | Shete, Sanjay | Shiraishi, Kouya | Shu, Xiao-Ou | Siddiq, Afshan | Sierrasesumaga, Luis | Sierri, Sabina | Loon Sihoe, Alan Dart | Silverman, Debra T. | Simon, Matthias | Southey, Melissa C. | Spector, Logan | Spitz, Margaret | Stampfer, Meir | Stattin, Par | Stern, Mariana C. | Stevens, Victoria L. | Stolzenberg-Solomon, Rachael Z. | Stram, Daniel O. | Strom, Sara S. | Su, Wu-Chou | Sund, Malin | Sung, Sook Whan | Swerdlow, Anthony | Tan, Wen | Tanaka, Hideo | Tang, Wei | Tang, Ze-Zhang | Tardon, Adonina | Tay, Evelyn | Taylor, Philip R. | Tettey, Yao | Thomas, David M. | Tirabosco, Roberto | Tjonneland, Anne | Tobias, Geoffrey S. | Toro, Jorge R. | Travis, Ruth C. | Trichopoulos, Dimitrios | Troisi, Rebecca | Truelove, Ann | Tsai, Ying-Huang | Tucker, Margaret A. | Tumino, Rosario | Van Den Berg, David | Van Den Eeden, Stephen K. | Vermeulen, Roel | Vineis, Paolo | Visvanathan, Kala | Vogel, Ulla | Wang, Chaoyu | Wang, Chengfeng | Wang, Junwen | Wang, Sophia S. | Weiderpass, Elisabete | Weinstein, Stephanie J. | Wentzensen, Nicolas | Wheeler, William | White, Emily | Wiencke, John K. | Wolk, Alicja | Wolpin, Brian M. | Wong, Maria Pik | Wrensch, Margaret | Wu, Chen | Wu, Tangchun | Wu, Xifeng | Wu, Yi-Long | Wunder, Jay S. | Xiang, Yong-Bing | Xu, Jun | Yang, Hannah P. | Yang, Pan-Chyr | Yatabe, Yasushi | Ye, Yuanqing | Yeboah, Edward D. | Yin, Zhihua | Ying, Chen | Yu, Chong-Jen | Yu, Kai | Yuan, Jian-Min | Zanetti, Krista A. | Zeleniuch-Jacquotte, Anne | Zheng, Wei | Zhou, Baosen | Mirabello, Lisa | Savage, Sharon A. | Kraft, Peter | Chanock, Stephen J. | Yeager, Meredith | Landi, Maria Terese | Shi, Jianxin | Chatterjee, Nilanjan | Amundadottir, Laufey T.
Human Molecular Genetics  2014;23(24):6616-6633.
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
doi:10.1093/hmg/ddu363
PMCID: PMC4240198  PMID: 25027329
17.  Genetic polymorphisms in the 9p21 region associated with risk of multiple cancers 
Carcinogenesis  2014;35(12):2698-2705.
Summary
We systematically examined common genetic variants in the 9p21 region and risk of eight cancers, based on GWAS data deposited in dbGaP. A number of SNPs were associated with multiple cancers, which are not confined to the CDKN2/MTAP cluster.
The chromosome 9p21 region has been implicated in the pathogenesis of multiple cancers. We analyzed 9p21 single nucleotide polymorphisms (SNPs) from eight genome-wide association studies (GWAS) with data deposited in dbGaP, including studies of esophageal squamous cell carcinoma (ESCC), gastric cancer (GC), pancreatic cancer, renal cell carcinoma (RCC), lung cancer (LC), breast cancer (BrC), bladder cancer (BC) and prostate cancer (PrC). The number of subjects ranged from 2252 (PrC) to 7619 (LC). SNP-level analyses for each cancer were conducted by logistic regression or random-effects meta-analysis. A subset-based statistical approach (ASSET) was performed to combine SNP-level P values across multiple cancers. We calculated gene-level P values using the adaptive rank truncated product method. We identified that rs1063192 and rs2157719 in the CDKN2A/2B region were significantly associated with ESCC and rs2764736 (3′ of TUSC1) was associated with BC (P ≤ 2.59 × 10−6). ASSET analyses identified four SNPs significantly associated with multiple cancers: rs3731239 (CDKN2A intronic) with ESCC, GC and BC (P = 3.96 × 10− 4); rs10811474 (3′ of IFNW1) with RCC and BrC (P = 0.001); rs12683422 (LINGO2 intronic) with RCC and BC (P = 5.93 × 10− 4) and rs10511729 (3′ of ELAVL2) with LC and BrC (P = 8.63 × 10− 4). At gene level, CDKN2B, CDKN2A and CDKN2B-AS1 were significantly associated with ESCC (P ≤ 4.70 × 10− 5). Rs10511729 and rs10811474 were associated with cis-expression of 9p21 genes in corresponding cancer tissues in the expression quantitative trait loci analysis. In conclusion, we identified several genetic variants in the 9p21 region associated with the risk of multiple cancers, suggesting that this region may contribute to a shared susceptibility across different cancer types.
doi:10.1093/carcin/bgu203
PMCID: PMC4247519  PMID: 25239644
18.  Oesophageal squamous cell carcinoma in high-risk Chinese populations: Possible role for vascular epithelial growth factor A 
Background
Mechanisms involved in wound healing play some role in carcinogenesis in multiple organs, likely by creating a chronic inflammatory milieu. This study sought to assess the role of genetic markers in selected inflammation-related genes involved in wound healing (interleukin (IL)-1a, IL-1b, IL-1 Receptor type I (IL-1Ra), IL-1 Receptor type II (IL-1Rb), tumour necrosis factor (TNF)-α, tumour necrosis factor receptor superfamily member (TNFRSF)1A, nuclear factor kappa beta (NF-kB)1, NF-kB2, inducible nitric oxide synthase (iNOS), cyclooxygenase (COX)-2, hypoxia induced factor (HIF)-1α, vascular endothelial growth factor (VEGF)A and P-53) in risk to oesophageal squamous cell carcinoma (OSCC).
Methods
We genotyped 125 tag single nucleotide polymorphism (SNP)s in 410 cases and 377 age and sex matched disease-free individuals from Nutritional Intervention Trial (NIT) cohort, and 546 cases and 556 controls individually matched for age, sex and neighbourhood from Shanxi case–control study, both conducted in high-risk areas of north-central China (1985–2007). Cox proportional-hazard models and conditional logistic regression models were used for SNPs analyses for NIT and Shanxi, respectively. Fisher's inverse test statistics were used to obtain gene-level significance.
Results
Multiple SNPs were significantly associated with OSCC in both studies, however, none retained their significance after a conservative Bonferroni adjustment. Empiric p-values for tag SNPs in VEGFA in NIT were highly concentrated in the lower tail of the distribution, suggesting this gene may be influencing risk. Permutation tests confirmed the significance of this pattern. At the gene level, VEGFA yielded an empiric significance (P = 0.027) in NIT. We also observed some evidence for interaction between environmental factors and some VEGFA tag SNPs.
Conclusion
Our finding adds further evidence for a potential role for markers in the VEGFA gene in the development and progression of early precancerous lesions of oesophagus.
doi:10.1016/j.ejca.2014.07.022
PMCID: PMC4363989  PMID: 25172294
Oesophageal squamous; cell carcinoma; Inflammation; Wound-healing; Genetic marker; Genetics; Inflammation-related events; Vascular endothelial growth factor A; VEGFA
19.  Integrative genomics analysis of genes with biallelic loss and its relation to the expression of mRNA and micro-RNA in esophageal squamous cell carcinoma 
BMC Genomics  2015;16:732.
Background
Genomic instability plays an important role in human cancers. We previously characterized genomic instability in esophageal squamous cell carcinomas (ESCC) in terms of loss of heterozygosity (LOH) and copy number (CN) changes in tumors. In the current study we focus on biallelic loss and its relation to expression of mRNA and miRNA in ESCC using results from 500K SNP, mRNA, and miRNA arrays in 30 cases from a high-risk region of China.
Results
(i) Biallelic loss was uncommon but when it occurred it exhibited a consistent pattern: only 77 genes (<0.5 %) showed biallelic loss in at least 10 % of ESCC samples, but nearly all of these genes were concentrated on just four chromosomal arms (ie, 42 genes on 3p, 14 genes on 9p, 10 genes on 5q, and seven genes on 4p). (ii) Biallelic loss was associated with lower mRNA expression: 52 of the 77 genes also had RNA expression data, and 41 (79 %) showed lower expression levels in cases with biallelic loss compared to those without. (iii) The relation of biallelic loss to miRNA expression was less clear but appeared to favor higher miRNA levels: of 60 miRNA-target gene pairs, 34 pairs (57 %) had higher miRNA expression with biallelic loss than without, while 26 pairs (43 %) had lower miRNA expression. (iv) Finally, the effect of biallelic loss on the relation between miRNA and mRNA expression was complex. Biallelic loss was most commonly associated with a pattern of elevated miRNA and reduced mRNA (43 %), but a pattern of both reduced miRNA and mRNA was also common (35 %).
Conclusion
Our results indicate that biallelic loss in ESCC is uncommon, but when it occurs it is localized to a few specific chromosome regions and is associated with reduced mRNA expression of affected genes. The effect of biallelic loss on miRNA expression and on the relation between miRNA and mRNA expressions was complex.
Electronic supplementary material
The online version of this article (doi:10.1186/s12864-015-1919-0) contains supplementary material, which is available to authorized users.
doi:10.1186/s12864-015-1919-0
PMCID: PMC4584010  PMID: 26409826
Esophageal squamous cell carcinoma; Biallelic loss; Gene expression; microRNA
20.  Index-based dietary patterns and risk of incident hepatocellular carcinoma and mortality from chronic liver disease in a prospective study 
Hepatology (Baltimore, Md.)  2014;60(2):588-597.
The role of diet in hepatocellular carcinoma (HCC) and its typical precursor, chronic liver disease (CLD), is poorly understood. Following dietary recommendations has been shown to reduce risk of many cancers, but whether such diets are associated with HCC and CLD is unknown. We prospectively evaluated the association of two dietary indices, the Healthy Eating Index-2010 (HEI-2010) and the alternate Mediterranean Diet Score (aMED), with HCC incidence and CLD mortality in a large U.S. prospective cohort. We calculated the HEI-2010 and aMED scores for 494,942 participants in the National Institutes of Health-AARP Diet and Health study, based on typical diet assessed using a food frequency questionnaire between 1995 and 1996. Hazard ratios (HRs) and 95% confidence intervals (CIs) for quintiles of each index were estimated using Cox proportional hazards regression, after adjusting for alcohol intake, smoking, body mass index, diabetes, and other covariates. A total of 509 HCC cases (1995-2006) and 1053 CLD deaths (1995-2011) were documented during follow-up. Higher HEI-2010 scores, reflecting favorable adherence to dietary guidelines, were associated with lower risk of HCC (HR: 0.72, 95% CI: 0.53-0.97 for the highest quintile compared to lowest; P-trend=0.03), and lower mortality due to CLD (HR: 0.57; 95% CI: 0.46-0.71; P-trend<0.0001). High aMED scores were also associated with lower risk of HCC (HR: 0.62; 95% CI: 0.47-0.84; P-trend=0.0002) and lower risk of CLD mortality (HR: 0.52; 95% CI: (0.42-0.65; P-trend<0.0001). Conclusions: Adhering to dietary recommendations may reduce the risk of developing HCC and dying of CLD.
doi:10.1002/hep.27160
PMCID: PMC4110163  PMID: 24715615
diet; liver cancer; Healthy Eating Index-2010; alternate Mediterranean Diet Score; cohort study
21.  PLCE1 mRNA and protein expression and survival of patients with esophageal squamous cell carcinoma and gastric adenocarcinoma 
Background
Germline genetic variants in PLCE1 (10q23) have demonstrated consistent associations with risk of esophageal squamous cell carcinoma (ESCC) and gastric cancer among Chinese. We evaluated PLCE1 mRNA and protein expression in paired tumor-normal tissues, and their relationship with survival.
Methods
PLCE1 mRNA was profiled using three probes in the Affymetrix GeneChip U133 for paired tumor-normal tissues of ESCC (n=132), gastric cardia adenocarcinoma (GCA, n=62) and gastric noncardia adenocarcinoma (GNCA, n=72). We used immunohistochemistry to detect PLCE1 protein on slides from tissue microarrays in paired tumor-normal tissues of ESCC (n=303), and tumors of GCA (n=298) and GNCA (n=124).
Results
Compared with normal tissues, PLCE1 mRNA expression was significantly reduced in ESCC tumors (P=0.03, probe_205112_at), as well as in GCA and GNCA tumors (P<0.0001, each probe). Protein expression was non-significantly reduced in ESCC tumors (P=0.51). Increased tumor-normal mRNA fold change (probe_205112_at) was associated with longer survival in ESCC (9.6 months for highest vs lowest quartile; P-trend=0.02). Increased mRNA tumor-normal fold change (probe_205111_at) was associated with longer survival for GCA (10.7 months for highest quartile; P-trend=0.04), but not for GNCA cases (P=0.72). Similar to mRNA, elevated tumor-normal fold change for protein in ESCC was also associated with improved survival (8.1 months for highest quartile; P-trend=0.04).
Conclusions
Dysregulated PLCE1 mRNA expression was observed for both ESCC (one probe only) and GCA tumors, and the altered PLCE1 expression appears to be associated with cancer prognosis.
Impact
A potential role for PLCE1 in the early detection and/or therapy of ESCC and GCA warrants further investigation.
doi:10.1158/1055-9965.EPI-13-1329
PMCID: PMC4207376  PMID: 24867265
22.  Nested PCR Biases in Interpreting Microbial Community Structure in 16S rRNA Gene Sequence Datasets 
PLoS ONE  2015;10(7):e0132253.
Background
Sequencing of the PCR-amplified 16S rRNA gene has become a common approach to microbial community investigations in the fields of human health and environmental sciences. This approach, however, is difficult when the amount of DNA is too low to be amplified by standard PCR. Nested PCR can be employed as it can amplify samples with DNA concentration several-fold lower than standard PCR. However, potential biases with nested PCRs that could affect measurement of community structure have received little attention.
Results
In this study, we used 17 DNAs extracted from vaginal swabs and 12 DNAs extracted from stool samples to study the influence of nested PCR amplification of the 16S rRNA gene on the estimation of microbial community structure using Illumina MiSeq sequencing. Nested and standard PCR methods were compared on alpha- and beta-diversity metrics and relative abundances of bacterial genera. The effects of number of cycles in the first round of PCR (10 vs. 20) and microbial diversity (relatively low in vagina vs. high in stool) were also investigated. Vaginal swab samples showed no significant difference in alpha diversity or community structure between nested PCR and standard PCR (one round of 40 cycles). Stool samples showed significant differences in alpha diversity (except Shannon’s index) and relative abundance of 13 genera between nested PCR with 20 cycles in the first round and standard PCR (P<0.01), but not between nested PCR with 10 cycles in the first round and standard PCR. Operational taxonomic units (OTUs) that had low relative abundance (sum of relative abundance <0.167) accounted for most of the distortion (>27% of total OTUs in stool).
Conclusions
Nested PCR introduced bias in estimated diversity and community structure. The bias was more significant for communities with relatively higher diversity and when more cycles were applied in the first round of PCR. We conclude that nested PCR could be used when standard PCR does not work. However, rare taxa detected by nested PCR should be validated by other technologies.
doi:10.1371/journal.pone.0132253
PMCID: PMC4509648  PMID: 26196512
23.  Variants Associated with Susceptibility to Pancreatic Cancer and Melanoma Do Not Reciprocally Affect Risk 
Background
Melanoma cases may exist in pancreatic cancer kindreds, while there is increased risk of pancreatic cancer in familial melanoma. The two cancers may share genetic susceptibility variants in common.
Methods
Three dbGaP-deposited GWAS datasets (MD Anderson melanoma, PanScan 1, and PanScan 2 for pancreatic cancer) were used. Thirty-seven melanoma susceptibility variants in 22 genomic regions from published GWAS, plus melanoma-related genes and pathways were examined for pancreatic cancer risk in the PanScan datasets. Conversely, nine known pancreatic cancer susceptibility variants were examined for melanoma risk in the MD Anderson dataset.
Results
In the PanScan data, initial associations were found with melanoma susceptibility variants in NCOA6 (rs4911442) (OR=1.32, 95% CI 1.03–1.70, p=0.03), YWHAZP5 (rs17119461) (OR=2.62, 95% CI 1.08–6.35, p=0.03), and YWHAZP5 (rs17119490) (OR=2.62, 95% CI 1.08–6.34, p=0.03), TYRP1 (p=0.04), and IFNA13 (p=0.04). In the melanoma dataset, two pancreatic cancer susceptibility variants were associated: NR5A2 (rs12029406) (OR=1.39, 95% CI 1.01–1.92, p=0.04) and CLPTM1L-TERT (rs401681) (OR=1.16, 95% CI 1.01–1.34, p=0.04). None of these associations remained significant after correcting for multiple comparisons.
Conclusion
Reported variants of melanoma genes and pathways do not play a role in pancreatic cancer predisposition. Reciprocally, pancreatic cancer susceptibility variants are not associated with melanoma risk.
Impact
Known melanoma-related genes and pathways, as well as GWAS-derived susceptibility variants of melanoma and pancreatic cancer, do not explain the shared genetic etiology of these two cancers.
doi:10.1158/1055-9965.EPI-13-0627
PMCID: PMC4120837  PMID: 24642353
Shared etiology; pancreatic cancer; melanoma; association analysis
24.  Constitutional promoter methylation and risk of familial melanoma 
Epigenetics  2014;9(5):685-692.
Constitutional epigenetic changes detected in blood or non-disease involving tissues have been associated with disease susceptibility. We measured promoter methylation of CDKN2A (p16 and p14ARF) and 13 melanoma-related genes using bisulfite pyrosequencing of blood DNA from 114 cases and 122 controls in 64 melanoma-prone families (26 segregating CDKN2A germline mutations). We also obtained gene expression data for these genes using microarrays from the same blood samples. We observed that CDKN2A epimutation is rare in melanoma families, and therefore is unlikely to cause major susceptibility in families without CDKN2A mutations. Although methylation levels for most gene promoters were very low (<5%), we observed a significantly reduced promoter methylation (odds ratio = 0.63, 95% confidence interval = 0.50, 0.80, P < 0.001) and increased expression (fold change = 1.27, P = 0.048) for TNFRSF10C in melanoma cases. Future research in large prospective studies using both normal and melanoma tissues is required to assess the significance of TNFRSF10C methylation and expression changes in melanoma susceptibility.
doi:10.4161/epi.28151
PMCID: PMC4063827  PMID: 24762620
familial melanoma; CDKN2A; promoter methylation; peripheral blood mononuclear cells; TNFRSF10C
25.  Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations 
Wu, Chen | Wang, Zhaoming | Song, Xin | Feng, Xiao-Shan | Abnet, Christian C. | He, Jie | Hu, Nan | Zuo, Xian-Bo | Tan, Wen | Zhan, Qimin | Hu, Zhibin | He, Zhonghu | Jia, Weihua | Zhou, Yifeng | Yu, Kai | Shu, Xiao-Ou | Yuan, Jian-Min | Zheng, Wei | Zhao, Xue-Ke | Gao, She-Gan | Yuan, Zhi-Qing | Zhou, Fu-You | Fan, Zong-Min | Cui, Ji-Li | Lin, Hong-Li | Han, Xue-Na | Li, Bei | Chen, Xi | Dawsey, Sanford M. | Liao, Linda | Lee, Maxwell P. | Ding, Ti | Qiao, You-Lin | Liu, Zhihua | Liu, Yu | Yu, Dianke | Chang, Jiang | Wei, Lixuan | Gao, Yu-Tang | Koh, Woon-Puay | Xiang, Yong-Bing | Tang, Ze-Zhong | Fan, Jin-Hu | Han, Jing-Jing | Zhou, Sheng-Li | Zhang, Peng | Zhang, Dong-Yun | Yuan, Yuan | Huang, Ying | Liu, Chunling | Zhai, Kan | Qiao, Yan | Jin, Guangfu | Guo, Chuanhai | Fu, Jianhua | Miao, Xiaoping | Lu, Changdong | Yang, Haijun | Wang, Chaoyu | Wheeler, William A. | Gail, Mitchell | Yeager, Meredith | Yuenger, Jeff | Guo, Er-Tao | Li, Ai-Li | Zhang, Wei | Li, Xue-Min | Sun, Liang-Dan | Ma, Bao-Gen | Li, Yan | Tang, Sa | Peng, Xiu-Qing | Liu, Jing | Hutchinson, Amy | Jacobs, Kevin | Giffen, Carol | Burdette, Laurie | Fraumeni, Joseph F. | Shen, Hongbing | Ke, Yang | Zeng, Yixin | Wu, Tangchun | Kraft, Peter | Chung, Charles C. | Tucker, Margaret A. | Hou, Zhi-Chao | Liu, Ya-Li | Hu, Yan-Long | Liu, Yu | Wang, Li | Yuan, Guo | Chen, Li-Sha | Liu, Xiao | Ma, Teng | Meng, Hui | Sun, Li | Li, Xin-Min | Li, Xiu-Min | Ku, Jian-Wei | Zhou, Ying-Fa | Yang, Liu-Qin | Wang, Zhou | Li, Yin | Qige, Qirenwang | Yang, Wen-Jun | Lei, Guang-Yan | Chen, Long-Qi | Li, En-Min | Yuan, Ling | Yue, Wen-Bin | Wang, Ran | Wang, Lu-Wen | Fan, Xue-Ping | Zhu, Fang-Heng | Zhao, Wei-Xing | Mao, Yi-Min | Zhang, Mei | Xing, Guo-Lan | Li, Ji-Lin | Han, Min | Ren, Jing-Li | Liu, Bin | Ren, Shu-Wei | Kong, Qing-Peng | Li, Feng | Sheyhidin, Ilyar | Wei, Wu | Zhang, Yan-Rui | Feng, Chang-Wei | Wang, Jin | Yang, Yu-Hua | Hao, Hong-Zhang | Bao, Qi-De | Liu, Bao-Chi | Wu, Ai-Qun | Xie, Dong | Yang, Wan-Cai | Wang, Liang | Zhao, Xiao-Hang | Chen, Shu-Qing | Hong, Jun-Yan | Zhang, Xue-Jun | Freedman, Neal D | Goldstein, Alisa M. | Lin, Dongxin | Taylor, Philip R. | Wang, Li-Dong | Chanock, Stephen J.
Nature genetics  2014;46(9):1001-1006.
We conducted a joint (pooled) analysis of three genome-wide association studies (GWAS) 1-3 of esophageal squamous cell carcinoma (ESCC) in ethnic Chinese (5,337 ESCC cases and 5,787 controls) with 9,654 ESCC cases and 10,058 controls for follow-up. In a logistic regression model adjusted for age, sex, study, and two eigenvectors, two new loci achieved genome-wide significance, marked by rs7447927 at 5q31.2 (per-allele odds ratio (OR) = 0.85, 95% CI 0.82-0.88; P=7.72x10−20) and rs1642764 at 17p13.1 (per-allele OR= 0.88, 95% CI 0.85-0.91; P=3.10x10−13). rs7447927 is a synonymous single nucleotide polymorphism (SNP) in TMEM173 and rs1642764 is an intronic SNP in ATP1B2, near TP53. Furthermore, a locus in the HLA class II region at 6p21.32 (rs35597309) achieved genome-wide significance in the two populations at highest risk for ESSC (OR=1.33, 95% CI 1.22-1.46; P=1.99x10−10). Our joint analysis identified new ESCC susceptibility loci overall as well as a new locus unique to the ESCC high risk Taihang Mountain region.
doi:10.1038/ng.3064
PMCID: PMC4212832  PMID: 25129146

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