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Association of major dietary patterns and blood pressure longitudinal change in Bangladesh
Jiang, Jieying; Liu, Mengling; Parvez, Faruque; Wang, Binhuan; Wu, Fen; Eunus, Mahbub; Bangalore, Sripal; Ahmed, Alauddin; Islam, Tariqul; Rakibuz-Zaman, Muhammad; Hasan, Rabiul; Sarwar, Golam; Levy, Diane; Argos, Maria; Bryan, Molly Scannell; Graziano, Joseph; Hayes, Richard B; Ahsan, Habibul; Chen, Yu
BACKGROUND:: Observational studies and clinical trials have shown associations of diet and high blood pressure (BP). However, prospective studies on the association between dietary patterns and longitudinal BP change are lacking, especially in low-income populations. METHOD:: We evaluated the association of dietary patterns and food groups with longitudinal change of BP in 10 389 participants in the Health Effects of Arsenic Longitudinal Study, with a median of 6.7 years of follow-up. Dietary information was obtained through a previously validated food-frequency questionnaire. BP was measured at baseline and at each biennial follow-up using the same method. RESULT:: Each standard deviation (SD) increase for the 'gourd vegetable' dietary pattern score was related to a slower annual change of 0.08, 0.04, and 0.05 mmHg in SBP, DBP, or pulse pressure, respectively. Each SD increase in the 'balanced' dietary pattern score was related to a decreasing annual change of 0.06 mmHg (P = 0.012) and 0.08 mmHg in SBP and pulse pressure (P < 0.001). On the contrary, one SD increase in 'western' dietary pattern score was related to a greater annual increase of 0.07 (P = 0.005) and 0.05 mmHg in SBP and pulse pressure (P = 0.013). Higher intake of fruits and vegetables was associated with a slower rate of change in annual SBP and pulse pressure, whereas higher meat intake was related to a more rapid increase in annual pulse pressure. CONCLUSION:: The findings suggest that dietary patterns play a significant role in the rate of BP change over time in a low-income population.
PMCID:4606930
PMID: 25693059
ISSN: 0263-6352
CID: 1466232
Risk factors for head and neck cancer in young adults: a pooled analysis in the INHANCE consortium
Toporcov, Tatiana Natasha; Znaor, Ariana; Zhang, Zuo-Feng; Yu, Guo-Pei; Winn, Deborah M; Wei, Qingyi; Vilensky, Marta; Vaughan, Thomas; Thomson, Peter; Talamini, Renato; Szeszenia-Dabrowska, Neonila; Sturgis, Erich M; Smith, Elaine; Shangina, Oxana; Schwartz, Stephen M; Schantz, Stimson; Rudnai, Peter; Richiardi, Lorenzo; Ramroth, Heribert; Purdue, Mark P; Olshan, Andrew F; Eluf-Neto, Jose; Muscat, Joshua; Moyses, Raquel Ajub; Morgenstern, Hal; Menezes, Ana; McClean, Michael; Matsuo, Keitaro; Mates, Dana; Macfarlane, Tatiana V; Lissowska, Jolanta; Levi, Fabio; Lazarus, Philip; Vecchia, Carlo La; Lagiou, Pagona; Koifman, Sergio; Kjaerheim, Kristina; Kelsey, Karl; Holcatova, Ivana; Herrero, Rolando; Healy, Claire; Hayes, Richard B; Franceschi, Silvia; Fernandez, Leticia; Fabianova, Eleonora; Daudt, Alexander W; Curioni, Otavio Alberto; Maso, Luigino Dal; Curado, Maria Paula; Conway, David I; Chen, Chu; Castellsague, Xavier; Canova, Cristina; Cadoni, Gabriella; Brennan, Paul; Boccia, Stefania; Antunes, Jose Leopoldo Ferreira; Ahrens, Wolfgang; Agudo, Antonio; Boffetta, Paolo; Hashibe, Mia; Lee, Yuan-Chin Amy; Filho, Victor Wunsch
BACKGROUND: Increasing incidence of head and neck cancer (HNC) in young adults has been reported. We aimed to compare the role of major risk factors and family history of cancer in HNC in young adults and older patients. METHODS: We pooled data from 25 case-control studies and conducted separate analyses for adults =45 years old ('young adults', 2010 cases and 4042 controls) and >45 years old ('older adults', 17 700 cases and 22 704 controls). Using logistic regression with studies treated as random effects, we estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The young group of cases had a higher proportion of oral tongue cancer (16.0% in women; 11.0% in men) and unspecified oral cavity / oropharynx cancer (16.2%; 11.1%) and a lower proportion of larynx cancer (12.1%; 16.6%) than older adult cases. The proportions of never smokers or never drinkers among female cases were higher than among male cases in both age groups. Positive associations with HNC and duration or pack-years of smoking and drinking were similar across age groups. However, the attributable fractions (AFs) for smoking and drinking were lower in young when compared with older adults (AFs for smoking in young women, older women, young men and older men, respectively, = 19.9% (95% CI = 9.8%, 27.9%), 48.9% (46.6%, 50.8%), 46.2% (38.5%, 52.5%), 64.3% (62.2%, 66.4%); AFs for drinking = 5.3% (-11.2%, 18.0%), 20.0% (14.5%, 25.0%), 21.5% (5.0%, 34.9%) and 50.4% (46.1%, 54.3%). A family history of early-onset cancer was associated with HNC risk in the young [OR = 2.27 (95% CI = 1.26, 4.10)], but not in the older adults [OR = 1.10 (0.91, 1.31)]. The attributable fraction for family history of early-onset cancer was 23.2% (8.60% to 31.4%) in young compared with 2.20% (-2.41%, 5.80%) in older adults. CONCLUSIONS: Differences in HNC aetiology according to age group may exist. The lower AF of cigarette smoking and alcohol drinking in young adults may be due to the reduced length of exposure due to the lower age. Other characteristics, such as those that are inherited, may play a more important role in HNC in young adults compared with older adults.
PMCID:4339764
PMID: 25613428
ISSN: 0300-5771
CID: 1441212
Red Meat Intake, NAT2, and Risk of Colorectal Cancer: A Pooled Analysis of 11 Studies
Ananthakrishnan, Ashwin N; Du, Mengmeng; Berndt, Sonja I; Brenner, Hermann; Caan, Bette J; Casey, Graham; Chang-Claude, Jenny; Duggan, David; Fuchs, Charles S; Gallinger, Steven; Giovannucci, Edward L; Harrison, Tabitha A; Hayes, Richard B; Hoffmeister, Michael; Hopper, John L; Hou, Lifang; Hsu, Li; Jenkins, Mark A; Kraft, Peter; Ma, Jing; Nan, Hongmei; Newcomb, Polly A; Ogino, Shuji; Potter, John D; Seminara, Daniela; Slattery, Martha L; Thornquist, Mark; White, Emily; Wu, Kana; Peters, Ulrike; Chan, Andrew T
BACKGROUND: Red meat intake has been associated with risk of colorectal cancer, potentially mediated through heterocyclic amines. The metabolic efficiency of N-acetyltransferase 2 (NAT2) required for the metabolic activation of such amines is influenced by genetic variation. The interaction between red meat intake, NAT2 genotype, and colorectal cancer has been inconsistently reported. METHODS: We used pooled individual-level data from the Colon Cancer Family Registry and the Genetics and Epidemiology of Colorectal Cancer Consortium. Red meat intake was collected by each study. We inferred NAT2 phenotype based on polymorphism at rs1495741, highly predictive of enzyme activity. Interaction was assessed using multiplicative interaction terms in multivariate-adjusted models. RESULTS: From 11 studies, 8,290 colorectal cancer cases and 9,115 controls were included. The highest quartile of red meat intake was associated with increased risk of colorectal cancer compared with the lowest quartile [OR, 1.41; 95% confidence interval (CI), 1.29-1.55]. However, a significant association was observed only for studies with retrospective diet data, not for studies with diet prospectively assessed before cancer diagnosis. Combining all studies, high red meat intake was similarly associated with colorectal cancer in those with a rapid/intermediate NAT2 genotype (OR, 1.38; 95% CI, 1.20-1.59) as with a slow genotype (OR, 1.43; 95% CI, 1.28-1.61; P interaction = 0.9). CONCLUSION: We found that high red meat intake was associated with increased risk of colorectal cancer only from retrospective case-control studies and not modified by NAT2 enzyme activity. IMPACT: Our results suggest no interaction between NAT2 genotype and red meat intake in mediating risk of colorectal cancer. Cancer Epidemiol Biomarkers Prev; 24(1); 198-205. (c)2014 AACR.
PMCID:4294960
PMID: 25342387
ISSN: 1055-9965
CID: 1440852
Estimating and explaining the effect of education and income on head and neck cancer risk: INHANCE consortium pooled analysis of 31 case-control studies from 27 countries
Conway, David I; Brenner, Darren R; McMahon, Alex D; Macpherson, Lorna M D; Agudo, Antonio; Ahrens, Wolfgang; Bosetti, Cristina; Brenner, Hermann; Castellsague, Xavier; Chen, Chu; Curado, Maria Paula; Curioni, Otavio A; Dal Maso, Luigino; Daudt, Alexander W; de Gois Filho, Jose F; D'Souza, Gypsyamber; Edefonti, Valeria; Fabianova, Eleonora; Fernandez, Leticia; Franceschi, Silvia; Gillison, Maura; Hayes, Richard B; Healy, Claire M; Herrero, Rolando; Holcatova, Ivana; Jayaprakash, Vijayvel; Kelsey, Karl; Kjaerheim, Kristina; Koifman, Sergio; La Vecchia, Carlo; Lagiou, Pagona; Lazarus, Philip; Levi, Fabio; Lissowska, Jolanta; Luce, Daniele; Macfarlane, Tatiana V; Mates, Dana; Matos, Elena; McClean, Michael; Menezes, Ana M; Menvielle, Gwenn; Merletti, Franco; Morgenstern, Hal; Moysich, Kirsten; Muller, Heiko; Muscat, Joshua; Olshan, Andrew F; Purdue, Mark P; Ramroth, Heribert; Richiardi, Lorenzo; Rudnai, Peter; Schantz, Stimson; Schwartz, Stephen M; Shangina, Oxana; Simonato, Lorenzo; Smith, Elaine; Stucker, Isabelle; Sturgis, Erich M; Szeszenia-Dabrowska, Neonila; Talamini, Renato; Thomson, Peter; Vaughan, Thomas L; Wei, Qingyi; Winn, Deborah M; Wunsch-Filho, Victor; Yu, Guo-Pei; Zhang, Zuo-Feng; Zheng, Tongzhang; Znaor, Ariana; Boffetta, Paolo; Chuang, Shu-Chun; Ghodrat, Marianoosh; Amy Lee, Yuan-Chin; Hashibe, Mia; Brennan, Paul
Low socioeconomic status has been reported to be associated with head and neck cancer risk. However, previous studies have been too small to examine the associations by cancer subsite, age, sex, global region and calendar time and to explain the association in terms of behavioral risk factors. Individual participant data of 23,964 cases with head and neck cancer and 31,954 controls from 31 studies in 27 countries pooled with random effects models. Overall, low education was associated with an increased risk of head and neck cancer (OR = 2.50; 95% CI = 2.02 - 3.09). Overall one-third of the increased risk was not explained by differences in the distribution of cigarette smoking and alcohol behaviors; and it remained elevated among never users of tobacco and nondrinkers (OR = 1.61; 95% CI = 1.13 - 2.31). More of the estimated education effect was not explained by cigarette smoking and alcohol behaviors: in women than in men, in older than younger groups, in the oropharynx than in other sites, in South/Central America than in Europe/North America and was strongest in countries with greater income inequality. Similar findings were observed for the estimated effect of low versus high household income. The lowest levels of income and educational attainment were associated with more than 2-fold increased risk of head and neck cancer, which is not entirely explained by differences in the distributions of behavioral risk factors for these cancers and which varies across cancer sites, sexes, countries and country income inequality levels.
PMCID:4531373
PMID: 24996155
ISSN: 0020-7136
CID: 1422732
Oral microbiome and risk of head and neck cancer, a nested case-control study [Meeting Abstract]
Ahn, Jiyoung; Ma, Yingfei; Purdue, Mark P; Freedman, Neal D; Gapstur, Susan M; Yang, Liying; Hayes, Richard B; Pei, Zhiheng
ISI:000349910202124
ISSN: 1538-7445
CID: 1599232
Personal determinants of the human gut microbiome [Meeting Abstract]
Dominianni, Christine; Sinha, Rashmi; Goedert, James J; Pei, Zhiheng; Yang, Liying; Hayes, Richard B; Ahn, Jiyoung
ISI:000349906904277
ISSN: 1538-7445
CID: 1598442
No evidence of gene-calcium interactions from genome-wide analysis of colorectal cancer risk
Du, Mengmeng; Zhang, Xuehong; Hoffmeister, Michael; Schoen, Robert E; Baron, John A; Berndt, Sonja I; Brenner, Hermann; Carlson, Christopher S; Casey, Graham; Chan, Andrew T; Curtis, Keith R; Duggan, David; Gauderman, W James; Giovannucci, Edward L; Gong, Jian; Harrison, Tabitha A; Hayes, Richard B; Henderson, Brian E; Hopper, John L; Hsu, Li; Hudson, Thomas J; Hutter, Carolyn M; Jenkins, Mark A; Jiao, Shuo; Kocarnik, Jonathan M; Kolonel, Laurence N; Le Marchand, Loic; Lin, Yi; Newcomb, Polly A; Rudolph, Anja; Seminara, Daniela; Thornquist, Mark D; Ulrich, Cornelia M; White, Emily; Wu, Kana; Zanke, Brent W; Campbell, Peter T; Slattery, Martha L; Peters, Ulrike; Chang-Claude, Jenny; Potter, John D
BACKGROUND: Calcium intake may reduce risk of colorectal cancer, but the mechanisms remain unclear. Studies of interaction between calcium intake and SNPs in calcium-related pathways have yielded inconsistent results. METHODS: To identify gene-calcium interactions, we tested interactions between approximately 2.7 million SNPs across the genome with self-reported calcium intake (from dietary or supplemental sources) in 9,006 colorectal cancer cases and 9,503 controls of European ancestry. To test for multiplicative interactions, we used multivariable logistic regression and defined statistical significance using the conventional genome-wide alpha = 5E-08. RESULTS: After accounting for multiple comparisons, there were no statistically significant SNP interactions with total, dietary, or supplemental calcium intake. CONCLUSIONS: We found no evidence of SNP interactions with calcium intake for colorectal cancer risk in a large population of 18,509 individuals. IMPACT: These results suggest that in genome-wide analysis common genetic variants do not strongly modify the association between calcium intake and colorectal cancer in European populations. Cancer Epidemiol Biomarkers Prev; 23(12); 2971-6. (c)2014 AACR.
PMCID:4257872
PMID: 25192705
ISSN: 1055-9965
CID: 1368732
Gene-environment interaction involving recently identified colorectal cancer susceptibility Loci
Kantor, Elizabeth D; Hutter, Carolyn M; Minnier, Jessica; Berndt, Sonja I; Brenner, Hermann; Caan, Bette J; Campbell, Peter T; Carlson, Christopher S; Casey, Graham; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Cotterchio, Michelle; Du, Mengmeng; Duggan, David; Fuchs, Charles S; Giovannucci, Edward L; Gong, Jian; Harrison, Tabitha A; Hayes, Richard B; Henderson, Brian E; Hoffmeister, Michael; Hopper, John L; Jenkins, Mark A; Jiao, Shuo; Kolonel, Laurence N; Le Marchand, Loic; Lemire, Mathieu; Ma, Jing; Newcomb, Polly A; Ochs-Balcom, Heather M; Pflugeisen, Bethann M; Potter, John D; Rudolph, Anja; Schoen, Robert E; Seminara, Daniela; Slattery, Martha L; Stelling, Deanna L; Thomas, Fridtjof; Thornquist, Mark; Ulrich, Cornelia M; Warnick, Greg S; Zanke, Brent W; Peters, Ulrike; Hsu, Li; White, Emily
BACKGROUND: Genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) that are associated with risk of colorectal cancer. Prior research has evaluated the presence of gene-environment interaction involving the first 10 identified susceptibility loci, but little work has been conducted on interaction involving SNPs at recently identified susceptibility loci, including: rs10911251, rs6691170, rs6687758, rs11903757, rs10936599, rs647161, rs1321311, rs719725, rs1665650, rs3824999, rs7136702, rs11169552, rs59336, rs3217810, rs4925386, and rs2423279. METHODS: Data on 9,160 cases and 9,280 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and Colon Cancer Family Registry (CCFR) were used to evaluate the presence of interaction involving the above-listed SNPs and sex, body mass index (BMI), alcohol consumption, smoking, aspirin use, postmenopausal hormone (PMH) use, as well as intake of dietary calcium, dietary fiber, dietary folate, red meat, processed meat, fruit, and vegetables. Interaction was evaluated using a fixed effects meta-analysis of an efficient Empirical Bayes estimator, and permutation was used to account for multiple comparisons. RESULTS: None of the permutation-adjusted P values reached statistical significance. CONCLUSIONS: The associations between recently identified genetic susceptibility loci and colorectal cancer are not strongly modified by sex, BMI, alcohol, smoking, aspirin, PMH use, and various dietary factors. IMPACT: Results suggest no evidence of strong gene-environment interactions involving the recently identified 16 susceptibility loci for colorectal cancer taken one at a time. Cancer Epidemiol Biomarkers Prev; 23(9); 1824-33. (c)2014 AACR.
PMCID:4209726
PMID: 24994789
ISSN: 1055-9965
CID: 1173532
Fecal metabolomics: assay performance and association with colorectal cancer
Goedert, James J; Sampson, Joshua N; Moore, Steven C; Xiao, Qian; Xiong, Xiaoqin; Hayes, Richard B; Ahn, Jiyoung; Shi, Jianxin; Sinha, Rashmi
Metabolomic analysis of feces may provide insights on colorectal cancer (CRC) if assay performance is satisfactory. In lyophilized feces from 48 CRC cases, 102 matched controls, and 48 masked quality control specimens, 1043 small molecules were detected with a commercial platform. Assay reproducibility was good for 527 metabolites [technical intraclass correlation coefficient (ICC) >0.7 in quality control specimens], but reproducibility in 6-month paired specimens was lower for the majority of metabolites (within-subject ICC =0.5). In the CRC cases and controls, significant differences (false discovery rate =0.10) were found for 41 of 1043 fecal metabolites. Direct cancer association was found with three fecal heme-related molecules [covariate-adjusted 90th versus 10th percentile odds ratio (OR) = 17-345], 18 peptides/amino acids (OR = 3-14), palmitoyl-sphingomyelin (OR = 14), mandelate (OR = 3) and p-hydroxy-benzaldehyde (OR = 4). Conversely, cancer association was inverse with acetaminophen metabolites (OR <0.1), tocopherols (OR = 0.3), sitostanol (OR = 0.2), 3-dehydrocarnitine (OR = 0.4), pterin (OR = 0.3), conjugated-linoleate-18-2N7 (OR = 0.2), N-2-furoyl-glycine (OR = 0.3) and p-aminobenzoate (PABA, OR = 0.2). Correlations suggested an independent role for palmitoyl-sphingomyelin and a central role for PABA (which was stable over 6 months, within-subject ICC 0.67) modulated by p-hydroxy-benzaldehyde. Power calculations based on ICCs indicate that only 45% of metabolites with a true relative risk 5.0 would be found in prospectively collected, prediagnostic specimens from 500 cases and 500 controls. Thus, because fecal metabolites vary over time, very large studies will be needed to reliably detect associations of many metabolites that potentially contribute to CRC.
PMCID:4146421
PMID: 25037050
ISSN: 0143-3334
CID: 1161412
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 Jr; 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 Jr; 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 3rd; 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 3rd; 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, 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, Borje; 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; Sihoe, Alan Dart Loon; 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
Genome-wide association studies (GWAS) have mapped risk alleles for at least ten 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 (ASSET) 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 (SNPs): five in the TERT gene (region 1: rs7726159, P=2.10x10-39; region 3: rs2853677, P=3.30x10-36 and PConditional=2.36x10-8; region 4: rs2736098, P=3.87x10-12 and PConditional=5.19x10-6, region 5: rs13172201, P=0.041 and PConditional=2.04x10-6; and region 6: rs10069690, P=7.49x10-15 and PConditional=5.35x10-7) and one in the neighboring CLPTM1L gene (region 2: rs451360; P=1.90x10-18 and PConditional=7.06x10-16). 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.
PMCID:4240198
PMID: 25027329
ISSN: 0964-6906
CID: 1071172