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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.  Caregiving in ALS – a mixed methods approach to the study of Burden 
BMC Palliative Care  2016;15(1):81.
Background
Caregiver burden affects the physical, psychological and emotional well-being of the caregiver. The purpose of this analysis was to describe an informal caregiver cohort (n = 81), their subjective assessment of burden and difficulties experienced as a result of providing care to people with Amyotrophic Lateral Sclerosis (ALS).
Methods
Using mixed methods of data collection and analysis, we undertook a comprehensive assessment of burden and difficulties associated with informal caregiving in ALS. As part of a semi-structured interview a series of standardised measures were used to assess quality of life, psychological distress and subjective burden, and in an open-ended question caregivers were asked to identify difficult aspects of their caregiving experience.
Results
The quantitative data show that psychological distress, hours of care provided and lower quality of life, were significant predictors of caregiver burden. From the qualitative data, the caregiving difficulties were thematised around managing the practicalities of the ALS condition, the emotional and psychosocial impact; limitation and restriction, and impact on relationships.
Conclusions
The collection and analysis of quantitative and qualitative data better explores the complexity of caregiver burden in ALS. Understanding the components of burden and the difficulties experienced as a result of caring for someone with ALS allows for better supporting the caregiver, and assessing the impact of burden on the care recipient.
Electronic supplementary material
The online version of this article (doi:10.1186/s12904-016-0153-0) contains supplementary material, which is available to authorized users.
doi:10.1186/s12904-016-0153-0
PMCID: PMC5011853  PMID: 27596749
Caregiver; Burden; Dimensions; Difficulties; Wellbeing; Amyotrophic lateral sclerosis; Motor neuron disease; Ireland; Mixed methods research
3.  Occupation and Risk of Non-Hodgkin Lymphoma and Its Subtypes: A Pooled Analysis from the InterLymph Consortium 
Environmental Health Perspectives  2015;124(4):396-405.
Background:
Various occupations have been associated with an elevated risk of non-Hodgkin lymphoma (NHL), but results have been inconsistent across studies.
Objectives:
We investigated occupational risk of NHL and of four common NHL subtypes with particular focus on occupations of a priori interest.
Methods:
We conducted a pooled analysis of 10,046 cases and 12,025 controls from 10 NHL studies participating in the InterLymph Consortium. We harmonized the occupational coding using the 1968 International Standard Classification of Occupations (ISCO-1968) and grouped occupations previously associated with NHL into 25 a priori groups. Odds ratios (ORs) adjusted for center, age, and sex were determined for NHL overall and for the following four subtypes: diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), and peripheral T-cell lymphoma (PTCL).
Results:
We confirmed previously reported positive associations between NHL and farming occupations [field crop/vegetable farm workers OR = 1.26; 95% confidence interval (CI): 1.05, 1.51; general farm workers OR = 1.19; 95% CI: 1.03, 1.37]; we also confirmed associations of NHL with specific occupations such as women’s hairdressers (OR = 1.34; 95% CI: 1.02, 1.74), charworkers/cleaners (OR = 1.17; 95% CI: 1.01, 1.36), spray-painters (OR = 2.07; 95% CI: 1.30, 3.29), electrical wiremen (OR = 1.24; 95% CI: 1.00, 1.54), and carpenters (OR = 1.42; 95% CI: 1.04, 1.93). We observed subtype-specific associations for DLBCL and CLL/SLL in women’s hairdressers and for DLBCL and PTCL in textile workers.
Conclusions:
Our pooled analysis of 10 international studies adds to evidence suggesting that farming, hairdressing, and textile industry–related exposures may contribute to NHL risk. Associations with women’s hairdresser and textile occupations may be specific for certain NHL subtypes.
Citation:
‘t Mannetje A, De Roos AJ, Boffetta P, Vermeulen R, Benke G, Fritschi L, Brennan P, Foretova L, Maynadié M, Becker N, Nieters A, Staines A, Campagna M, Chiu B, Clavel J, de Sanjose S, Hartge P, Holly EA, Bracci P, Linet MS, Monnereau A, Orsi L, Purdue MP, Rothman N, Lan Q, Kane E, Seniori Costantini A, Miligi L, Spinelli JJ, Zheng T, Cocco P, Kricker A. 2016. Occupation and risk of non-Hodgkin lymphoma and its subtypes: a pooled analysis from the InterLymph Consortium. Environ Health Perspect 124:396–405; http://dx.doi.org/10.1289/ehp.1409294
doi:10.1289/ehp.1409294
PMCID: PMC4829988  PMID: 26340796
4.  Associations of Non-Hodgkin Lymphoma (NHL) Risk With Autoimmune Conditions According to Putative NHL Loci 
American Journal of Epidemiology  2015;181(6):406-421.
Autoimmune conditions and immune system–related genetic variations are associated with risk of non-Hodgkin lymphoma (NHL). In a pooled analysis of 8,692 NHL cases and 9,260 controls from 14 studies (1988–2007) within the International Lymphoma Epidemiology Consortium, we evaluated the interaction between immune system genetic variants and autoimmune conditions in NHL risk. We evaluated the immunity-related single nucleotide polymorphisms rs1800629 (tumor necrosis factor gene (TNF) G308A), rs1800890 (interleukin-10 gene (IL10) T3575A), rs6457327 (human leukocyte antigen gene (HLA) class I), rs10484561 (HLA class II), and rs2647012 (HLA class II)) and categorized autoimmune conditions as primarily mediated by B-cell or T-cell responses. We constructed unconditional logistic regression models to measure associations between autoimmune conditions and NHL with stratification by genotype. Autoimmune conditions mediated by B-cell responses were associated with increased NHL risk, specifically diffuse large B-cell lymphoma (odds ratio (OR) = 3.11, 95% confidence interval (CI): 2.25, 4.30) and marginal zone lymphoma (OR = 5.80, 95% CI: 3.82, 8.80); those mediated by T-cell responses were associated with peripheral T-cell lymphoma (OR = 2.14, 95% CI: 1.35, 3.38). In the presence of the rs1800629 AG/AA genotype, B-cell-mediated autoimmune conditions increased NHL risk (OR = 3.27, 95% CI: 2.07, 5.16; P-interaction = 0.03) in comparison with the GG genotype (OR = 1.82, 95% CI: 1.31, 2.53). This interaction was consistent across major B-cell NHL subtypes, including marginal zone lymphoma (P-interaction = 0.02) and follicular lymphoma (P-interaction = 0.04).
doi:10.1093/aje/kwu290
PMCID: PMC4402340  PMID: 25713336
autoimmune conditions; environment; genetics; interaction; human leukocyte antigen; lymphoma, non-Hodgkin; tumor necrosis factor
5.  Meta-analysis of genome-wide association studies reveals genetic overlap between Hodgkin lymphoma and multiple sclerosis 
Background: Based on epidemiological commonalities, multiple sclerosis (MS) and Hodgkin lymphoma (HL), two clinically distinct conditions, have long been suspected to be aetiologically related. MS and HL occur in roughly the same age groups, both are associated with Epstein-Barr virus infection and ultraviolet (UV) light exposure, and they cluster mutually in families (though not in individuals). We speculated if in addition to sharing environmental risk factors, MS and HL were also genetically related. Using data from genome-wide association studies (GWAS) of 1816 HL patients, 9772 MS patients and 25 255 controls, we therefore investigated the genetic overlap between the two diseases.
Methods: From among a common denominator of 404 K single nucleotide polymorphisms (SNPs) studied, we identified SNPs and human leukocyte antigen (HLA) alleles independently associated with both diseases. Next, we assessed the cumulative genome-wide effect of MS-associated SNPs on HL and of HL-associated SNPs on MS. To provide an interpretational frame of reference, we used data from published GWAS to create a genetic network of diseases within which we analysed proximity of HL and MS to autoimmune diseases and haematological and non-haematological malignancies.
Results: SNP analyses revealed genome-wide overlap between HL and MS, most prominently in the HLA region. Polygenic HL risk scores explained 4.44% of HL risk (Nagelkerke R2), but also 2.36% of MS risk. Conversely, polygenic MS risk scores explained 8.08% of MS risk and 1.94% of HL risk. In the genetic disease network, HL was closer to autoimmune diseases than to solid cancers.
Conclusions: HL displays considerable genetic overlap with MS and other autoimmune diseases.
doi:10.1093/ije/dyv364
PMCID: PMC5005944  PMID: 26971321
6.  Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia 
Berndt, Sonja I. | Camp, Nicola J. | Skibola, Christine F. | Vijai, Joseph | Wang, Zhaoming | Gu, Jian | Nieters, Alexandra | Kelly, Rachel S. | Smedby, Karin E. | Monnereau, Alain | Cozen, Wendy | Cox, Angela | Wang, Sophia S. | Lan, Qing | Teras, Lauren R. | Machado, Moara | Yeager, Meredith | Brooks-Wilson, Angela R. | Hartge, Patricia | Purdue, Mark P. | Birmann, Brenda M. | Vajdic, Claire M. | Cocco, Pierluigi | Zhang, Yawei | Giles, Graham G. | Zeleniuch-Jacquotte, Anne | Lawrence, Charles | Montalvan, Rebecca | Burdett, Laurie | Hutchinson, Amy | Ye, Yuanqing | Call, Timothy G. | Shanafelt, Tait D. | Novak, Anne J. | Kay, Neil E. | Liebow, Mark | Cunningham, Julie M. | Allmer, Cristine | Hjalgrim, Henrik | Adami, Hans-Olov | Melbye, Mads | Glimelius, Bengt | Chang, Ellen T. | Glenn, Martha | Curtin, Karen | Cannon-Albright, Lisa A. | Diver, W Ryan | Link, Brian K. | Weiner, George J. | Conde, Lucia | Bracci, Paige M. | Riby, Jacques | Arnett, Donna K. | Zhi, Degui | Leach, Justin M. | Holly, Elizabeth A. | Jackson, Rebecca D. | Tinker, Lesley F. | Benavente, Yolanda | Sala, Núria | Casabonne, Delphine | Becker, Nikolaus | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Chaffee, Kari G. | Achenbach, Sara J. | Vachon, Celine M. | Goldin, Lynn R. | Strom, Sara S. | Leis, Jose F. | Weinberg, J. Brice | Caporaso, Neil E. | Norman, Aaron D. | De Roos, Anneclaire J. | Morton, Lindsay M. | Severson, Richard K. | Riboli, Elio | Vineis, Paolo | Kaaks, Rudolph | Masala, Giovanna | Weiderpass, Elisabete | Chirlaque, María- Dolores | Vermeulen, Roel C. H. | Travis, Ruth C. | Southey, Melissa C. | Milne, Roger L. | Albanes, Demetrius | Virtamo, Jarmo | Weinstein, Stephanie | Clavel, Jacqueline | Zheng, Tongzhang | Holford, Theodore R. | Villano, Danylo J. | Maria, Ann | Spinelli, John J. | Gascoyne, Randy D. | Connors, Joseph M. | Bertrand, Kimberly A. | Giovannucci, Edward | Kraft, Peter | Kricker, Anne | Turner, Jenny | Ennas, Maria Grazia | Ferri, Giovanni M. | Miligi, Lucia | Liang, Liming | Ma, Baoshan | Huang, Jinyan | Crouch, Simon | Park, Ju-Hyun | Chatterjee, Nilanjan | North, Kari E. | Snowden, John A. | Wright, Josh | Fraumeni, Joseph F. | Offit, Kenneth | Wu, Xifeng | de Sanjose, Silvia | Cerhan, James R. | Chanock, Stephen J. | Rothman, Nathaniel | Slager, Susan L.
Nature Communications  2016;7:10933.
Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10−11), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10−8) and 3q28 (rs9815073, LPP, P=3.62 × 10−8), as well as a new independent SNP at the known 2q13 locus (rs9308731, BCL2L11, P=1.00 × 10−11) in the combined analysis. We find suggestive evidence (P<5 × 10−7) for two additional new loci at 4q24 (rs10028805, BANK1, P=7.19 × 10−8) and 3p22.2 (rs1274963, CSRNP1, P=2.12 × 10−7). Pathway analyses of new and known CLL loci consistently show a strong role for apoptosis, providing further evidence for the importance of this biological pathway in CLL susceptibility.
Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPP associated with risk of this disease.
doi:10.1038/ncomms10933
PMCID: PMC4786871  PMID: 26956414
7.  A Pooled Analysis of Cigarette Smoking and Risk of Multiple Myeloma from the International Multiple Myeloma Consortium 
Background
Past investigations of cigarette smoking and multiple myeloma have been underpowered to detect moderate associations, particularly within subgroups. To clarify this association we conducted a pooled analysis of nine case-control studies in the International Multiple Myeloma Consortium, with individual-level questionnaire data on cigarette smoking history and other covariates.
Methods
Using a pooled population of 2,670 cases and 11,913 controls, we computed odds ratios (ORs) and 95% confidence intervals (CIs) relating smoking to multiple myeloma risk using unconditional logistic regression adjusting for gender, age group, race, education, body mass index, alcohol consumption, and study center.
Results
Neither ever smokers (OR=0.95, 95% CI 0.87-1.05), current smokers (OR=0.82, 95% CI 0.73-0.93), nor former smokers (OR=1.03, 95% CI 0.92-1.14) had increased risks of multiple myeloma compared to never smokers. Analyses of smoking frequency, pack-years, and duration did not reveal significant or consistent patterns, and there was no significant effect modification by subgroups.
Conclusion
Findings from this large pooled analysis do not support the hypothesis of cigarette smoking as a causal factor for multiple myeloma.
Impact
Cigarette smoking is one of the most important risk factors for cancer, but the association with multiple myeloma was inconclusive. This study had excellent power to detect modest associations, and had individual-level data to evaluate confounding and effect modification by potentially important factors that were not evaluated in previous studies. Our findings confirm that smoking is not a risk factor for multiple myeloma.
doi:10.1158/1055-9965.EPI-14-1145
PMCID: PMC4355157  PMID: 25538226
8.  The Early Development Instrument: an evaluation of its five domains using Rasch analysis 
BMC Pediatrics  2016;16:10.
Background
Early childhood development is a multifaceted construct encompassing physical, social, emotional and intellectual competencies. The Early Development Instrument (EDI) is a population-level measure of five domains of early childhood development on which extensive psychometric testing has been conducted using traditional methods. This study builds on previous psychometric analysis by providing the first large-scale Rasch analysis of the EDI. The aim of the study was to perform a definitive analysis of the psychometric properties of the EDI domains within the Rasch paradigm.
Methods
Data from a large EDI study conducted in a major Irish urban centre were used for the analysis. The unidimensional Rasch model was used to examine whether the EDI scales met the measurement requirement of invariance, allowing responses to be summated across items. Differential item functioning for gender was also analysed.
Results
Data were available for 1344 children. All scales apart from the Physical Health and Well-Being scale reliably discriminated between children of different levels of ability. However, all the scales also had some misfitting items and problems with measuring higher levels of ability.
Differential item functioning for gender was particularly evident in the emotional maturity scale with almost one-third of items (9 out of 30) on this scale biased in favour of girls.
Conclusion
The study points to a number of areas where the EDI could be improved.
doi:10.1186/s12887-016-0543-8
PMCID: PMC4721060  PMID: 26792078
9.  Medical History, Lifestyle, Family History, and Occupational Risk Factors for Lymphoplasmacytic Lymphoma/Waldenström’s Macroglobulinemia: The InterLymph Non-Hodgkin Lymphoma Subtypes Project 
Background
Lymphoplasmacytic lymphoma/Waldenström’s macroglobulinemia (LPL/WM), a rare non-Hodgkin lymphoma subtype, shows strong familial aggregation and a positive association with chronic immune stimulation, but evidence regarding other risk factors is very limited.
Methods
The International Lymphoma Epidemiology Consortium (InterLymph) pooled data from 11 predominantly population-based case–control studies from North America, Europe, and Australia to examine medical history, lifestyle, family history, and occupational risk factors for LPL/WM. Age-, sex-, race/ethnicity-, and study-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using logistic regression for a total of 374 LPL/WM cases and 23 096 controls.
Results
In multivariate analysis including all putative risk factors, LPL/WM risk was associated with history of Sjögren’s syndrome (OR = 14.0, 95% CI = 3.60 to 54.6), systemic lupus erythematosus (OR = 8.23, 95% CI = 2.69 to 25.2), hay fever (OR = 0.73, 95% CI = 0.54 to 0.99), positive hepatitis C serology (OR = 2.51, 95% CI = 1.03 to 6.17), hematologic malignancy in a first-degree relative (OR = 1.64, 95% CI = 1.02 to 2.64), adult weight (OR = 0.61, 95% CI = 0.44 to 0.85 for highest vs. lowest quartile), duration of cigarette smoking (OR = 1.46, 95% CI = 1.04 to 2.05 for ≥ 40 years vs. nonsmokers), and occupation as a medical doctor (OR = 5.54, 95% CI = 2.19 to 14.0). There was no association with other medical conditions, lifestyle factors, or occupations.
Conclusions
This pooled analysis confirmed associations with immune conditions and family history of hematologic malignancy, and identified new associations with hay fever, weight, smoking, and occupation, and no association with other lifestyle factors. These findings offer clues to LPL/WM biology and prevention.
doi:10.1093/jncimonographs/lgu002
PMCID: PMC4155457  PMID: 25174029
10.  Medical History, Lifestyle, and Occupational Risk Factors for Hairy Cell Leukemia: The InterLymph Non-Hodgkin Lymphoma Subtypes Project 
Background
Little is known about the etiology of hairy cell leukemia (HCL), a rare B-cell lymphoproliferative disorder with marked male predominance. Our aim was to identify key risk factors for HCL.
Methods
A pooled analysis of individual-level data for 154 histologically confirmed HCL cases and 8834 controls from five case–control studies, conducted in Europe and Australia, was undertaken. Age-, race and/or ethnicity-, sex-, and study-adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression.
Results
The usual patterns for age and sex in HCL were observed, with a median age of 55 years and sex ratio of 3.7 males to females. Cigarette smoking was inversely associated with HCL (OR = 0.51, 95% CI = 0.37 to 0.71) with dose–response relationships observed for duration, frequency, and lifetime cigarette smoking (P trend < .001). In contrast, occupation as a farmer was positively associated with HCL (OR = 2.34, 95% CI = 1.36 to 4.01), with a dose–response relationship observed for duration (OR = 1.82, 95% CI = 0.85 to 3.88 for ≤10 years vs never; and OR = 2.98, 95% CI = 1.50 to 5.93 for >10 years vs never; P trend = .025). Adult height was also positively associated with HCL (OR = 2.69, 95% CI = 1.39 to 5.29 for upper vs lower quartile of height). The observed associations remained consistent in multivariate analysis.
Conclusions
Our observations of an increased risk of HCL from farming exposures and decreased risk from smoking exposures, independent of one another, support a multifactorial origin and an etiological specificity of HCL compared with other non-Hodgkin lymphoma subtypes. The positive association with height is a novel finding that needs replication.
doi:10.1093/jncimonographs/lgu004
PMCID: PMC4155459  PMID: 25174032
11.  Etiologic Heterogeneity Among Non-Hodgkin Lymphoma Subtypes: The InterLymph Non-Hodgkin Lymphoma Subtypes Project 
Morton, Lindsay M. | Slager, Susan L. | Cerhan, James R. | Wang, Sophia S. | Vajdic, Claire M. | Skibola, Christine F. | Bracci, Paige M. | de Sanjosé, Silvia | Smedby, Karin E. | Chiu, Brian C. H. | Zhang, Yawei | Mbulaiteye, Sam M. | Monnereau, Alain | Turner, Jennifer J. | Clavel, Jacqueline | Adami, Hans-Olov | Chang, Ellen T. | Glimelius, Bengt | Hjalgrim, Henrik | Melbye, Mads | Crosignani, Paolo | di Lollo, Simonetta | Miligi, Lucia | Nanni, Oriana | Ramazzotti, Valerio | Rodella, Stefania | Costantini, Adele Seniori | Stagnaro, Emanuele | Tumino, Rosario | Vindigni, Carla | Vineis, Paolo | Becker, Nikolaus | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Cocco, Pierluigi | Foretova, Lenka | Maynadié, Marc | Nieters, Alexandra | Staines, Anthony | Colt, Joanne S. | Cozen, Wendy | Davis, Scott | de Roos, Anneclaire J. | Hartge, Patricia | Rothman, Nathaniel | Severson, Richard K. | Holly, Elizabeth A. | Call, Timothy G. | Feldman, Andrew L. | Habermann, Thomas M. | Liebow, Mark | Blair, Aaron | Cantor, Kenneth P. | Kane, Eleanor V. | Lightfoot, Tracy | Roman, Eve | Smith, Alex | Brooks-Wilson, Angela | Connors, Joseph M. | Gascoyne, Randy D. | Spinelli, John J. | Armstrong, Bruce K. | Kricker, Anne | Holford, Theodore R. | Lan, Qing | Zheng, Tongzhang | Orsi, Laurent | Dal Maso, Luigino | Franceschi, Silvia | La Vecchia, Carlo | Negri, Eva | Serraino, Diego | Bernstein, Leslie | Levine, Alexandra | Friedberg, Jonathan W. | Kelly, Jennifer L. | Berndt, Sonja I. | Birmann, Brenda M. | Clarke, Christina A. | Flowers, Christopher R. | Foran, James M. | Kadin, Marshall E. | Paltiel, Ora | Weisenburger, Dennis D. | Linet, Martha S. | Sampson, Joshua N.
Background
Non-Hodgkin lymphoma (NHL) comprises biologically and clinically heterogeneous subtypes. Previously, study size has limited the ability to compare and contrast the risk factor profiles among these heterogeneous subtypes.
Methods
We pooled individual-level data from 17 471 NHL cases and 23 096 controls in 20 case–control studies from the International Lymphoma Epidemiology Consortium (InterLymph). We estimated the associations, measured as odds ratios, between each of 11 NHL subtypes and self-reported medical history, family history of hematologic malignancy, lifestyle factors, and occupation. We then assessed the heterogeneity of associations by evaluating the variability (Q value) of the estimated odds ratios for a given exposure among subtypes. Finally, we organized the subtypes into a hierarchical tree to identify groups that had similar risk factor profiles. Statistical significance of tree partitions was estimated by permutation-based P values (P NODE).
Results
Risks differed statistically significantly among NHL subtypes for medical history factors (autoimmune diseases, hepatitis C virus seropositivity, eczema, and blood transfusion), family history of leukemia and multiple myeloma, alcohol consumption, cigarette smoking, and certain occupations, whereas generally homogeneous risks among subtypes were observed for family history of NHL, recreational sun exposure, hay fever, allergy, and socioeconomic status. Overall, the greatest difference in risk factors occurred between T-cell and B-cell lymphomas (P NODE < 1.0×10−4), with increased risks generally restricted to T-cell lymphomas for eczema, T-cell-activating autoimmune diseases, family history of multiple myeloma, and occupation as a painter. We further observed substantial heterogeneity among B-cell lymphomas (P NODE < 1.0×10−4). Increased risks for B-cell-activating autoimmune disease and hepatitis C virus seropositivity and decreased risks for alcohol consumption and occupation as a teacher generally were restricted to marginal zone lymphoma, Burkitt/Burkitt-like lymphoma/leukemia, diffuse large B-cell lymphoma, and/or lymphoplasmacytic lymphoma/Waldenström macroglobulinemia.
Conclusions
Using a novel approach to investigate etiologic heterogeneity among NHL subtypes, we identified risk factors that were common among subtypes as well as risk factors that appeared to be distinct among individual or a few subtypes, suggesting both subtype-specific and shared underlying mechanisms. Further research is needed to test putative mechanisms, investigate other risk factors (eg, other infections, environmental exposures, and diet), and evaluate potential joint effects with genetic susceptibility.
doi:10.1093/jncimonographs/lgu013
PMCID: PMC4155467  PMID: 25174034
12.  A genome-wide association study of marginal zone lymphoma shows association to the HLA region 
Vijai, Joseph | Wang, Zhaoming | Berndt, Sonja I | Skibola, Christine F | Slager, Susan L | de Sanjose, Silvia | Melbye, Mads | Glimelius, Bengt | Bracci, Paige M | Conde, Lucia | Birmann, Brenda M | Wang, Sophia S | Brooks-Wilson, Angela R | Lan, Qing | de Bakker, Paul I W | Vermeulen, Roel C H | Portlock, Carol | Ansell, Stephen M | Link, Brian K | Riby, Jacques | North, Kari E | Gu, Jian | Hjalgrim, Henrik | Cozen, Wendy | Becker, Nikolaus | Teras, Lauren R | Spinelli, John J | Turner, Jenny | Zhang, Yawei | Purdue, Mark P | Giles, Graham G | Kelly, Rachel S | Zeleniuch-Jacquotte, Anne | Ennas, Maria Grazia | Monnereau, Alain | Bertrand, Kimberly A | Albanes, Demetrius | Lightfoot, Tracy | Yeager, Meredith | Chung, Charles C | Burdett, Laurie | Hutchinson, Amy | Lawrence, Charles | Montalvan, Rebecca | Liang, Liming | Huang, Jinyan | Ma, Baoshan | Villano, Danylo J | Maria, Ann | Corines, Marina | Thomas, Tinu | Novak, Anne J | Dogan, Ahmet | Liebow, Mark | Thompson, Carrie A | Witzig, Thomas E | Habermann, Thomas M | Weiner, George J | Smith, Martyn T | Holly, Elizabeth A | Jackson, Rebecca D | Tinker, Lesley F | Ye, Yuanqing | Adami, Hans-Olov | Smedby, Karin E | De Roos, Anneclaire J | Hartge, Patricia | Morton, Lindsay M | Severson, Richard K | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Diver, W Ryan | Vajdic, Claire M | Armstrong, Bruce K | Kricker, Anne | Zheng, Tongzhang | Holford, Theodore R | Severi, Gianluca | Vineis, Paolo | Ferri, Giovanni M | Ricco, Rosalia | Miligi, Lucia | Clavel, Jacqueline | Giovannucci, Edward | Kraft, Peter | Virtamo, Jarmo | Smith, Alex | Kane, Eleanor | Roman, Eve | Chiu, Brian C H | Fraumeni, Joseph F | Wu, Xifeng | Cerhan, James R | Offit, Kenneth | Chanock, Stephen J | Rothman, Nathaniel | Nieters, Alexandra
Nature communications  2015;6:5751.
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95×10−15) and HLA-B (rs2922994, P=2.43×10−9) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
doi:10.1038/ncomms6751
PMCID: PMC4287989  PMID: 25569183
13.  Lessons learned about primary weight maintenance and secondary weight maintenance: results from a qualitative study 
BMC Public Health  2015;15:580.
Background
Obesity is now a worldwide problem and Ireland is no exception with approximately two thirds of the adult population now overweight or obese. A recent report has found that 53 % of Irish adults aged 50 years and over are classified as centrally obese and at substantially increased risk of metabolic complications. While most studies investigating weight maintenance have been conducted on those who have managed to lose weight and/or achieved weight loss maintenance (secondary weight maintainers), few studies have been undertaken to understand the attitudes, behaviours, motivations and strategies of those who maintain their weight within normal weight ranges over their lifetime, so called primary weight maintainers. This study aims to explore this issue through qualitative exploration of primary weight maintainers in an Irish University.
Methods
Seven focus groups were conducted (including three single interviews) with 17 participants in total across three different groups, 1) primary weight maintainers, 2) secondary weight maintainers, and 3) those unable to sustain or achieve weight loss. The interviews were transcribed and thematic analysis was applied to interpret the findings.
Results
After analyzing the participant’s interviews, planning and organization or lack of, emerged as themes across the three groups in varying degrees. Strategizing, perseverance and willpower were seen as integral to weight maintenance and weight loss in groups one and two, these were lacking in group three. Prioritizing exercise and perseverance in maintaining a high level of activity was evident in groups one and two and was lacking in group three. Motivational influences were equal across the groups however, group three found it difficult to turn this into action. Group one had behavioural control of calorie intake maintaining a balance between week and weekend eating. Group three found it difficult to control calorie intake and portion size. Self-image differed across the three groups with cognitive dissonance evident amongst those in group three.
Conclusions
This study showed that there are many factors that influence primary weight maintenance. Considering that we live in a society that is predominantly sedentary, predominantly overweight and with poor food choice options facing us every day, fighting our way through to ensure healthy weight maintenance requires active, conscious efforts. The factors identified in this study which are important in healthy weight maintenance are all potentially modifiable with life-coach, nutrition, exercise and cognitive interventions particularly if peer support and a whole family approach are incorporated.
doi:10.1186/s12889-015-1930-z
PMCID: PMC4477318  PMID: 26099235
Primary weight maintenance; Weight loss maintenance; Failure to lose weight
14.  Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma 
Cerhan, James R | Berndt, Sonja I | Vijai, Joseph | Ghesquières, Hervé | McKay, James | Wang, Sophia S | Wang, Zhaoming | Yeager, Meredith | Conde, Lucia | de Bakker, Paul I W | Nieters, Alexandra | Cox, David | Burdett, Laurie | Monnereau, Alain | Flowers, Christopher R | De Roos, Anneclaire J | Brooks-Wilson, Angela R | Lan, Qing | Severi, Gianluca | Melbye, Mads | Gu, Jian | Jackson, Rebecca D | Kane, Eleanor | Teras, Lauren R | Purdue, Mark P | Vajdic, Claire M | Spinelli, John J | Giles, Graham G | Albanes, Demetrius | Kelly, Rachel S | Zucca, Mariagrazia | Bertrand, Kimberly A | Zeleniuch-Jacquotte, Anne | Lawrence, Charles | Hutchinson, Amy | Zhi, Degui | Habermann, Thomas M | Link, Brian K | Novak, Anne J | Dogan, Ahmet | Asmann, Yan W | Liebow, Mark | Thompson, Carrie A | Ansell, Stephen M | Witzig, Thomas E | Weiner, George J | Veron, Amelie S | Zelenika, Diana | Tilly, Hervé | Haioun, Corinne | Molina, Thierry Jo | Hjalgrim, Henrik | Glimelius, Bengt | Adami, Hans-Olov | Bracci, Paige M | Riby, Jacques | Smith, Martyn T | Holly, Elizabeth A | Cozen, Wendy | Hartge, Patricia | Morton, Lindsay M | Severson, Richard K | Tinker, Lesley F | North, Kari E | Becker, Nikolaus | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | Staines, Anthony | Lightfoot, Tracy | Crouch, Simon | Smith, Alex | Roman, Eve | Diver, W Ryan | Offit, Kenneth | Zelenetz, Andrew | Klein, Robert J | Villano, Danylo J | Zheng, Tongzhang | Zhang, Yawei | Holford, Theodore R | Kricker, Anne | Turner, Jenny | Southey, Melissa C | Clavel, Jacqueline | Virtamo, Jarmo | Weinstein, Stephanie | Riboli, Elio | Vineis, Paolo | Kaaks, Rudolph | Trichopoulos, Dimitrios | Vermeulen, Roel C H | Boeing, Heiner | Tjonneland, Anne | Angelucci, Emanuele | Di Lollo, Simonetta | Rais, Marco | Birmann, Brenda M | Laden, Francine | Giovannucci, Edward | Kraft, Peter | Huang, Jinyan | Ma, Baoshan | Ye, Yuanqing | Chiu, Brian C H | Sampson, Joshua | Liang, Liming | Park, Ju-Hyun | Chung, Charles C | Weisenburger, Dennis D | Chatterjee, Nilanjan | Fraumeni, Joseph F | Slager, Susan L | Wu, Xifeng | de Sanjose, Silvia | Smedby, Karin E | Salles, Gilles | Skibola, Christine F | Rothman, Nathaniel | Chanock, Stephen J
Nature genetics  2014;46(11):1233-1238.
doi:10.1038/ng.3105
PMCID: PMC4213349  PMID: 25261932
15.  Overweight and obesity on the island of Ireland: an estimation of costs 
BMJ Open  2015;5(3):e006189.
Objectives
The increasing prevalence of overweight and obesity worldwide continues to compromise population health and creates a wider societal cost in terms of productivity loss and premature mortality. Despite extensive international literature on the cost of overweight and obesity, findings are inconsistent between Europe and the USA, and particularly within Europe. Studies vary on issues of focus, specific costs and methods. This study aims to estimate the healthcare and productivity costs of overweight and obesity for the island of Ireland in 2009, using both top-down and bottom-up approaches.
Methods
Costs were estimated across four categories: healthcare utilisation, drug costs, work absenteeism and premature mortality. Healthcare costs were estimated using Population Attributable Fractions (PAFs). PAFs were applied to national cost data for hospital care and drug prescribing. PAFs were also applied to social welfare and national mortality data to estimate productivity costs due to absenteeism and premature mortality.
Results
The healthcare costs of overweight and obesity in 2009 were estimated at €437 million for the Republic of Ireland (ROI) and €127.41 million for NI. Productivity loss due to overweight and obesity was up to €865 million for ROI and €362 million for NI. The main drivers of healthcare costs are cardiovascular disease, type II diabetes, colon cancer, stroke and gallbladder disease. In terms of absenteeism, low back pain is the main driver in both jurisdictions, and for productivity loss due to premature mortality the primary driver of cost is coronary heart disease.
Conclusions
The costs are substantial, and urgent public health action is required in Ireland to address the problem of increasing prevalence of overweight and obesity, which if left unchecked will lead to unsustainable cost escalation within the health service and unacceptable societal costs.
doi:10.1136/bmjopen-2014-006189
PMCID: PMC4368985  PMID: 25776042
HEALTH ECONOMICS; EPIDEMIOLOGY
16.  A genome-wide association study of marginal zone lymphoma shows association to the HLA region 
Vijai, Joseph | Wang, Zhaoming | Berndt, Sonja I. | Skibola, Christine F. | Slager, Susan L. | de Sanjose, Silvia | Melbye, Mads | Glimelius, Bengt | Bracci, Paige M. | Conde, Lucia | Birmann, Brenda M. | Wang, Sophia S. | Brooks-Wilson, Angela R. | Lan, Qing | de Bakker, Paul I. W. | Vermeulen, Roel C. H. | Portlock, Carol | Ansell, Stephen M. | Link, Brian K. | Riby, Jacques | North, Kari E. | Gu, Jian | Hjalgrim, Henrik | Cozen, Wendy | Becker, Nikolaus | Teras, Lauren R. | Spinelli, John J. | Turner, Jenny | Zhang, Yawei | Purdue, Mark P. | Giles, Graham G. | Kelly, Rachel S. | Zeleniuch-Jacquotte, Anne | Ennas, Maria Grazia | Monnereau, Alain | Bertrand, Kimberly A. | Albanes, Demetrius | Lightfoot, Tracy | Yeager, Meredith | Chung, Charles C. | Burdett, Laurie | Hutchinson, Amy | Lawrence, Charles | Montalvan, Rebecca | Liang, Liming | Huang, Jinyan | Ma, Baoshan | Villano, Danylo J. | Maria, Ann | Corines, Marina | Thomas, Tinu | Novak, Anne J. | Dogan, Ahmet | Liebow, Mark | Thompson, Carrie A. | Witzig, Thomas E. | Habermann, Thomas M. | Weiner, George J. | Smith, Martyn T. | Holly, Elizabeth A. | Jackson, Rebecca D. | Tinker, Lesley F. | Ye, Yuanqing | Adami, Hans-Olov | Smedby, Karin E. | De Roos, Anneclaire J. | Hartge, Patricia | Morton, Lindsay M. | Severson, Richard K. | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Diver, W. Ryan | Vajdic, Claire M. | Armstrong, Bruce K. | Kricker, Anne | Zheng, Tongzhang | Holford, Theodore R. | Severi, Gianluca | Vineis, Paolo | Ferri, Giovanni M. | Ricco, Rosalia | Miligi, Lucia | Clavel, Jacqueline | Giovannucci, Edward | Kraft, Peter | Virtamo, Jarmo | Smith, Alex | Kane, Eleanor | Roman, Eve | Chiu, Brian C. H. | Fraumeni, Joseph F. | Wu, Xifeng | Cerhan, James R. | Offit, Kenneth | Chanock, Stephen J. | Rothman, Nathaniel | Nieters, Alexandra
Nature Communications  2015;6:5751.
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10−15) and HLA-B (rs2922994, P=2.43 × 10−9) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
Marginal zone lymphoma (MZL) is a common subtype of B-cell non-Hodgkin lymphoma. Here the authors carry out a two-stage genome-wide association study in over 8,000 Europeans and identify two new MZL risk loci at chromosome 6p, implicating the major histocompatibility complex in the disease for the first time.
doi:10.1038/ncomms6751
PMCID: PMC4287989  PMID: 25569183
17.  Detection and characterisation of novel bocavirus (genus Bocaparvovirus) and gastroenteritis viruses from asymptomatic pigs in Ireland 
Infection Ecology & Epidemiology  2015;5:10.3402/iee.v5.27270.
Background
Livestock animals have been the assumed source of several human epidemics in recent years, for example, influenza H1N1, rotavirus G8/G9, and MERS-CoV. Surveillance of novel viruses in animals is essential to evaluate the risk to human and animal health and to determine any economic impact, for example, failure to thrive. There is a paucity of data regarding detection and characterisation of gastroenteritis viruses, particularly novel viruses, in porcines in Ireland. Recently, a number of small novel porcine DNA viruses have emerged globally, for example, torque teno sus virus, porcine bocavirus, and parvoviruses 2 & 4, and little is known about the biology and potential pathogenicity of these viruses. Bocaparvovirus is a genetically distinct group of viruses which has been recently detected in humans and animals.
Methods
In this study, the presence of gastroenteritis viruses (rotavirus A, porcine circovirus, adenovirus, and porcine bocavirus) was investigated in a selection of archived faecal samples from asymptomatic piglets from a commercial farm in Ireland. A total of 104 specimens were pooled and screened using conventional molecular techniques (PCR and RT-PCR), a subset of specimens (n=44) were then examined individually. Viral diversity was then investigated using statistical and phylogenetic techniques.
Results
Initial screening showed a high prevalence of PBoV in this farm, with the formation of three distinct groups in phylogenetic analysis. Other viruses were also investigated in this study with the first report of PCV, PAdV and lineage I G5 RVA in Ireland. Some specimens contained >1 virus, with statistical analysis indicating a strong correlation for mixed infections of PBoV and PAdV on this farm.
Conclusion
Investigating the diversity of circulating enteric viruses on Irish porcine farms is important to improve the prophylactic tools available and to facilitate the early detection of changes in circulating viruses.
doi:10.3402/iee.v5.27270
PMCID: PMC4462827  PMID: 26065833
bocavirus; Bocaparvovirus; porcine; gastroenteritis
18.  A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium 
Background
Recent findings suggest that alcohol consumption may reduce risk of multiple myeloma (MM).
Methods
To better understand this relationship, we conducted an analysis of six case-control studies participating in the International Multiple Myeloma Consortium (1,567 cases, 7,296 controls). Summary odds ratios (ORs) and 95% confidence intervals (CI) relating different measures of alcohol consumption and MM risk were computed by unconditional logistic regression with adjustment for age, race, and study center.
Results
Cases were significantly less likely than controls to report ever drinking alcohol (men: OR 0.72, 95% CI 0.59-0.89, women: OR 0.81, 0.68-0.95). The inverse association with MM was stronger when comparing current to never drinkers (men: OR=0.57, 95% CI 0.45-0.72, women: OR=0.55, 95% CI 0.45-0.68), but null among former drinkers. We did not observe an exposure-response relationship with increasing alcohol frequency, duration or cumulative lifetime consumption. Additional adjustment for body mass index, education, or smoking did not affect our results; and the patterns of association were similar for each type of alcohol beverage examined.
Conclusions
Our study is, to our knowledge, the largest of its kind to date, and our findings suggest that alcohol consumption may be associated with reduced risk of MM.
Impact
Prospective studies, especially those conducted as pooled analyses with large sample sizes, are needed to confirm our findings and further explore whether alcohol consumption provides true biologic protection against this rare, highly fatal malignancy.
doi:10.1158/1055-9965.EPI-13-0334
PMCID: PMC3769449  PMID: 23964064
19.  An Exploratory Spatial Analysis of ALS Incidence in Ireland over 17.5 Years (1995 – July 2013) 
PLoS ONE  2014;9(5):e96556.
Introduction
There has been much interest in spatial analysis of ALS to identify potential environmental or genetically caused clusters of disease. Results to date have been inconclusive. The Irish ALS register has been recently geocoded, presenting opportunity to perform a spatial analysis on national prospectively gathered data of incident cases over an 18-year period.
Methods
1,645 cases of ALS in Ireland from January 1995 to July 2013 were identified from the Irish ALS register. 1,638 cases were successfully geocoded. Census data from four censuses: 1996, 2002, 2006 & 2011 were used to calculate an average population for the period and standardized incidence rates (SIRs) were calculated for 3,355 areas (Electoral Divisions). Bayesian conditional auto-regression was applied to produce smoothed relative risks (RR). These were then mapped for all cases, males & females separately, and those under 55 vs over 55 at diagnosis. Bayesian and linear regression were used to examine the relationship between population density and RR.
Results
Smoothed maps revealed no overall geographical pattern to ALS incidence in Ireland, although several areas of localized increased risk were identified. Stratified maps also suggested localized areas of increased RR, while dual analysis of the relationship between population density and RR of ALS yielded conflicting results, linear regression revealed a weak relationship.
Discussion
In contrast to some previous studies our analysis did not reveal any large-scale geographic patterns of incidence, yet localized areas of moderately high risk were found in both urban and rural areas. Stratified maps by age revealed a larger number of cases in younger people in the area of County Cork - possibly of genetic cause. Bayesian auto-regression of population density failed to find a significant association with risk, however weighted linear regression of post Bayesian smoothed Risk revealed an association between population density and increased ALS risk.
doi:10.1371/journal.pone.0096556
PMCID: PMC4035264  PMID: 24867594
20.  Personal Use of Hair Dye and the Risk of Certain Subtypes of Non-Hodgkin Lymphoma 
American journal of epidemiology  2008;167(11):1321-1331.
Personal use of hair dye has been inconsistently linked to risk of non-Hodgkin lymphoma (NHL), perhaps because of small samples or a lack of detailed information on personal hair-dye use in previous studies. This study included 4,461 NHL cases and 5,799 controls from the International Lymphoma Epidemiology Consortium 1988–2003. Increased risk of NHL (odds ratio (OR) = 1.3, 95% confidence interval (CI): 1.1, 1.4) associated with hair-dye use was observed among women who began using hair dye before 1980. Analyses by NHL subtype showed increased risk for follicular lymphoma (FL) and chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) but not for other NHL subtypes. The increased risks of FL (OR = 1.4, 95% CI: 1.1, 1.9) and CLL/SLL (OR = 1.5, 95% CI: 1.1, 2.0) were mainly observed among women who started using hair dyes before 1980. For women who began using hair dye in 1980 or afterward, increased FL risk was limited to users of dark-colored dyes (OR = 1.5, 95% CI: 1.1, 2.0). These results indicate that personal hair-dye use may play a role in risks of FL and CLL/SLL in women who started use before 1980 and that increased risk of FL among women who started use during or after 1980 cannot be excluded.
doi:10.1093/aje/kwn058
PMCID: PMC4025953  PMID: 18408225
case-control studies; hair dyes; lymphoma; non-Hodgkin
21.  The direct and indirect costs of both overweight and obesity: a systematic review 
BMC Research Notes  2014;7:242.
Background
The rising prevalence of overweight and obesity places a financial burden on health services and on the wider economy. Health service and societal costs of overweight and obesity are typically estimated by top-down approaches which derive population attributable fractions for a range of conditions associated with increased body fat or bottom-up methods based on analyses of cross-sectional or longitudinal datasets. The evidence base of cost of obesity studies is continually expanding, however, the scope of these studies varies widely and a lack of standardised methods limits comparisons nationally and internationally. The objective of this review is to contribute to this knowledge pool by examining direct costs and indirect (lost productivity) costs of both overweight and obesity to provide comparable estimates. This review was undertaken as part of the introductory work for the Irish cost of overweight and obesity study and examines inconsistencies in the methodologies of cost of overweight and obesity studies. Studies which evaluated the direct costs and indirect costs of both overweight and obesity were included.
Methods
A computerised search of English language studies addressing direct and indirect costs of overweight and obesity in adults between 2001 and 2011 was conducted. Reference lists of reports, articles and earlier reviews were scanned to identify additional studies.
Results
Five published articles were deemed eligible for inclusion. Despite the limited scope of this review there was considerable heterogeneity in methodological approaches and findings. In the four studies which presented separate estimates for direct and indirect costs of overweight and obesity, the indirect costs were higher, accounting for between 54% and 59% of the estimated total costs.
Conclusion
A gradient exists between increasing BMI and direct healthcare costs and indirect costs due to reduced productivity and early premature mortality. Determining precise estimates for the increases is mired by the large presence of heterogeneity among the available cost estimation literature. To improve the availability of quality evidence an international consensus on standardised methods for cost of obesity studies is warranted. Analyses of nationally representative cross-sectional datasets augmented by data from primary care are likely to provide the best data for international comparisons.
doi:10.1186/1756-0500-7-242
PMCID: PMC4006977  PMID: 24739239
Direct costs; Health care costs; Indirect costs; Lost productivity costs; Overweight; Obesity
22.  Hepatitis C and Non-Hodgkin Lymphoma Among 4784 Cases and 6269 Controls From the International Lymphoma Epidemiology Consortium 
Background & Aims
Increasing evidence points towards a role of hepatitis C virus (HCV) infection in causing malignant lymphomas. We pooled case-control study data to provide robust estimates of the risk of non-Hodgkin’s lymphoma (NHL) subtypes after HCV infection.
Methods
The analysis included 7 member studies from the International Lymphoma Epidemiology Consortium (InterLymph) based in Europe, North America, and Australia. Adult cases of NHL (n = 4784) were diagnosed between 1988 and 2004 and controls (n = 6269) were matched by age, sex, and study center. All studies used third-generation enzyme-linked immunosorbent assays to test for antibodies against HCV in serum samples. Participants who were human immunodeficiency virus positive or were organ-transplant recipients were excluded.
Results
HCV infection was detected in 172 NHL cases (3.60%) and in 169 (2.70%) controls (odds ratio [OR], 1.78; 95% confidence interval [CI], 1.40–2.25). In subtype-specific analyses, HCV prevalence was associated with marginal zone lymphoma (OR, 2.47; 95% CI, 1.44–4.23), diffuse large B-cell lymphoma (OR, 2.24; 95% CI, 1.68–2.99), and lymphoplasmacytic lymphoma (OR, 2.57; 95% CI, 1.14–5.79). Notably, risk estimates were not increased for follicular lymphoma (OR, 1.02; 95% CI, 0.65–1.60).
Conclusions
These results confirm the association between HCV infection and NHL and specific B-NHL subtypes (diffuse large B-cell lymphoma, marginal zone lymphoma, and lymphoplasmacytic lymphoma).
doi:10.1016/j.cgh.2008.02.011
PMCID: PMC3962672  PMID: 18387498
23.  Are the special educational needs of children in their first year in primary school in Ireland being identified: a cross-sectional study 
BMC Pediatrics  2014;14:52.
Background
If the window of opportunity presented by the early years is missed, it becomes increasingly difficult to create a successful life-course. A biopsychosocial model of special educational need with an emphasis on participation and functioning moves the frame of reference from the clinic to the school and the focus from specific conditions to creating supportive environments cognisant of the needs of all children. However, evidence suggests that an emphasis on diagnosed conditions persists and that the needs of children who do not meet these criteria are not identified.
The Early Development Instrument (EDI) is a well-validated, teacher-completed population-level measure of five domains of child development. It is uniquely placed, at the interface between health and education, to explore the developmental status of children with additional challenges within a typically developing population. The aim of this study was to examine the extent to which the special educational needs of children in their first year of formal education have been identified.
Methods
This cross-sectional study was conducted in Ireland in 2011. EDI (teacher completed) scores were calculated for 1344 children. Data were also collected on special needs and on children identified by the teacher as needing assessment. Mean developmental scores were compared using one-way ANOVA.
Results
Eighty-three children in the sample population (6.2%) had identified special educational needs. A further 132 children were judged by the teacher as needing assessment. Children with special needs had lower mean scores than typically developing children, in all five developmental domains. Children considered by the teacher as needing assessment also had lower scores, which were not significantly different from those of children with special needs. Speech, emotional or behavioural difficulties were the most commonly reported problems among children needing further assessment. There was also a social gradient among this group.
Conclusions
A small but significant number of children have not had their needs adequately assessed. Teacher observation is an effective means of identifying children with a level of impairment which prevents them from fully participating in their educational environment and could be integrated into a multi-disciplinary approach to meeting the needs of all children.
doi:10.1186/1471-2431-14-52
PMCID: PMC3936996  PMID: 24552187
Child development; Special educational needs; Population-health; Social determinants of health; Educational needs assessment
24.  Non-Hodgkin lymphoma and Obesity: a pooled analysis from the InterLymph consortium 
Nutritional status is known to alter immune function, a suspected risk factor for non-Hodgkin lymphoma (NHL). To investigate whether long-term over, or under, nutrition is associated with NHL self-reported anthropometric data on weight and height from over 10000 cases of NHL and 16000 controls were pooled across 18 case-control studies identified through the International Lymphoma Epidemiology Consortium. Study-specific odds ratios (OR) were estimated using logistic regression and combined using a random-effects model. Severe obesity, defined as BMI of 40 kg m−2 or more, was not associated with NHL overall (pooled OR=1.00, 95% confidence interval (CI) 0.70–1.41) or the majority of NHL subtypes. An excess was however observed for diffuse large B-cell lymphoma (pooled OR=1.80, 95% CI 1.24–2.62), although not all study-specific ORs were raised. Among the overweight (BMI 25–29.9 kg m−2) and obese (BMI 30–39.9 kg m−2), associations were elevated in some studies and decreased in others, while no association was observed among the underweight (BMI<18.5 kg m−2). There was little suggestion of increasing ORs for NHL or its subtypes with every 5 kg m−2 rise in BMI above 18.5 kg m−2. BMI components height and weight were also examined, and the tallest men, but not women, were at marginally increased risk (pooled OR=1.19, 95% CI 1.06–1.34). In summary, whilst we conclude that there is no evidence to support the hypothesis that obesity is a determinant of all types of NHL combined, the association between severe obesity and diffuse large B-cell lymphoma may warrant further investigation.
doi:10.1002/ijc.23344
PMCID: PMC3928289  PMID: 18167059
non-Hodgkin lymphoma; lymphoma; body mass index; weight; height; epidemiology
25.  Genome-wide Association Study Identifies Multiple Risk Loci for Chronic Lymphocytic Leukemia 
Berndt, Sonja I. | Skibola, Christine F. | Joseph, Vijai | Camp, Nicola J. | Nieters, Alexandra | Wang, Zhaoming | Cozen, Wendy | Monnereau, Alain | Wang, Sophia S. | Kelly, Rachel S. | Lan, Qing | Teras, Lauren R. | Chatterjee, Nilanjan | Chung, Charles C. | Yeager, Meredith | Brooks-Wilson, Angela R. | Hartge, Patricia | Purdue, Mark P. | Birmann, Brenda M. | Armstrong, Bruce K. | Cocco, Pierluigi | Zhang, Yawei | Severi, Gianluca | Zeleniuch-Jacquotte, Anne | Lawrence, Charles | Burdette, Laurie | Yuenger, Jeffrey | Hutchinson, Amy | Jacobs, Kevin B. | Call, Timothy G. | Shanafelt, Tait D. | Novak, Anne J. | Kay, Neil E. | Liebow, Mark | Wang, Alice H. | Smedby, Karin E | Adami, Hans-Olov | Melbye, Mads | Glimelius, Bengt | Chang, Ellen T. | Glenn, Martha | Curtin, Karen | Cannon-Albright, Lisa A. | Jones, Brandt | Diver, W. Ryan | Link, Brian K. | Weiner, George J. | Conde, Lucia | Bracci, Paige M. | Riby, Jacques | Holly, Elizabeth A. | Smith, Martyn T. | Jackson, Rebecca D. | Tinker, Lesley F. | Benavente, Yolanda | Becker, Nikolaus | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Rabe, Kari G. | Achenbach, Sara J. | Vachon, Celine M. | Goldin, Lynn R | Strom, Sara S. | Lanasa, Mark C. | Spector, Logan G. | Leis, Jose F. | Cunningham, Julie M. | Weinberg, J. Brice | Morrison, Vicki A. | Caporaso, Neil E. | Norman, Aaron D. | Linet, Martha S. | De Roos, Anneclaire J. | Morton, Lindsay M. | Severson, Richard K. | Riboli, Elio | Vineis, Paolo | Kaaks, Rudolph | Trichopoulos, Dimitrios | Masala, Giovanna | Weiderpass, Elisabete | Chirlaque, María-Dolores | Vermeulen, Roel C H | Travis, Ruth C. | Giles, Graham G. | Albanes, Demetrius | Virtamo, Jarmo | Weinstein, Stephanie | Clavel, Jacqueline | Zheng, Tongzhang | Holford, Theodore R | Offit, Kenneth | Zelenetz, Andrew | Klein, Robert J. | Spinelli, John J. | Bertrand, Kimberly A. | Laden, Francine | Giovannucci, Edward | Kraft, Peter | Kricker, Anne | Turner, Jenny | Vajdic, Claire M. | Ennas, Maria Grazia | Ferri, Giovanni M. | Miligi, Lucia | Liang, Liming | Sampson, Joshua | Crouch, Simon | Park, Ju-hyun | North, Kari E. | Cox, Angela | Snowden, John A. | Wright, Josh | Carracedo, Angel | Lopez-Otin, Carlos | Bea, Silvia | Salaverria, Itziar | Martin, David | Campo, Elias | Fraumeni, Joseph F. | de Sanjose, Silvia | Hjalgrim, Henrik | Cerhan, James R. | Chanock, Stephen J. | Rothman, Nathaniel | Slager, Susan L.
Nature genetics  2013;45(8):868-876.
doi:10.1038/ng.2652
PMCID: PMC3729927  PMID: 23770605

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