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2. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author

Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Skin Neoplasms, Epidemiology, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, immune system diseases, Risk Factors, Polymorphism (computer science), hemic and lymphatic diseases, Internal medicine, Pleiotropism, Genetics, medicine, Genetic predisposition, Humans, Basal cell carcinoma, neoplasms, Pleiotropy, business.industry, General Medicine, Odds ratio, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, NMSC, 030104 developmental biology, Carcinoma, Basal Cell, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Skin cancer, business, CLL
Abstract

Background Epidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases. Methods We examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results Higher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02–1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08–1.38, Ptrend = 1.36 × 10–5), which was driven by shared genetic susceptibility at the 6p25.3 locus. Conclusion These findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.

Published
2021

5. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author

IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., and Berndt, S.I.

Published
2021

7. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author

Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Subjects
follicular lymphoma, non-Hodgkin lymphoma, polygenic risk score, diffuse large B-celllymphoma, chronic lymphocytic leukemia, genetics, marginal zone lymphoma, height
Abstract

Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.

Published
2020

8. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author

IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Moore, A., Kane, E., Panagiotou, O.A., Teras, L.R., Monnereau, A., Wong Doo, N., Machiela, M.J., Skibola, C.F., Slager, S.L., Salles, G., Camp, N.J., Bracci, P.M., Nieters, A., Vermeulen, R.C.H., Vijai, J., Smedby, K.E., Vajdic, C.M., Cozen, W., Spinelli, J.J., Hjalgrim, H., Giles, G.G., Link, B.K., Clavel, J., Arslan, A.A., Purdue, M.P., Tinker, L.F., Albanes, D., Ferri, G.M., Habermann, T.M., Adami, H.-O., Becker, N., Benavente, Y., Bisanzi, S., Boffetta, P., Brennan, P., Brooks-Wilson, A.R., Canzian, F., Conde, L., Cox, D.G., Curtin, K., Foretova, L., Gapstur, S.M., Ghesquières, H., Glenn, M., Glimelius, B., Jackson, R.D., Lan, Q., Liebow, M., Maynadie, M., McKay, J., Melbye, M., Miligi, L., Milne, R.L., Molina, T.J., Morton, L.M., North, K.E., Offit, K., Padoan, M., Piro, S., Ravichandran, V., Riboli, E., de Sanjose, S., Severson, R.K., Southey, M.C., Staines, A., Stewart, C., Travis, R.C., Weiderpass, E., Weinstein, S., Zheng, T., Chanock, S.J., Chatterjee, N., Rothman, N., Birmann, B.M., Cerhan, J.R., and Berndt, S.I.

Published
2020

9. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author

Moore, A, Kane, E, Wang, Z, Panagiotou, OA, Teras, LR, Monnereau, A, Wong Doo, N, Machiela, MJ, Skibola, CF, Slager, SL, Salles, G, Camp, NJ, Bracci, PM, Nieters, A, Vermeulen, RCH, Vijai, J, Smedby, KE, Zhang, Y, Vajdic, CM, Cozen, W, Spinelli, JJ, Hjalgrim, H, Giles, GG, Link, BK, Clavel, J, Arslan, AA, Purdue, MP, Tinker, LF, Albanes, D, Ferri, GM, Habermann, TM, Adami, H-O, Becker, N, Benavente, Y, Bisanzi, S, Boffetta, P, Brennan, P, Brooks-Wilson, AR, Canzian, F, Conde, L, Cox, DG, Curtin, K, Foretova, L, Gapstur, SM, Ghesquieres, H, Glenn, M, Glimelius, B, Jackson, RD, Lan, Q, Liebow, M, Maynadie, M, McKay, J, Melbye, M, Miligi, L, Milne, RL, Molina, TJ, Morton, LM, North, KE, Offit, K, Padoan, M, Patel, AV, Piro, S, Ravichandran, V, Riboli, E, de Sanjose, S, Severson, RK, Southey, MC, Staines, A, Stewart, C, Travis, RC, Weiderpass, E, Weinstein, S, Zheng, T, Chanock, SJ, Chatterjee, N, Rothman, N, Birmann, BM, Cerhan, JR, Berndt, SI, Moore, A, Kane, E, Wang, Z, Panagiotou, OA, Teras, LR, Monnereau, A, Wong Doo, N, Machiela, MJ, Skibola, CF, Slager, SL, Salles, G, Camp, NJ, Bracci, PM, Nieters, A, Vermeulen, RCH, Vijai, J, Smedby, KE, Zhang, Y, Vajdic, CM, Cozen, W, Spinelli, JJ, Hjalgrim, H, Giles, GG, Link, BK, Clavel, J, Arslan, AA, Purdue, MP, Tinker, LF, Albanes, D, Ferri, GM, Habermann, TM, Adami, H-O, Becker, N, Benavente, Y, Bisanzi, S, Boffetta, P, Brennan, P, Brooks-Wilson, AR, Canzian, F, Conde, L, Cox, DG, Curtin, K, Foretova, L, Gapstur, SM, Ghesquieres, H, Glenn, M, Glimelius, B, Jackson, RD, Lan, Q, Liebow, M, Maynadie, M, McKay, J, Melbye, M, Miligi, L, Milne, RL, Molina, TJ, Morton, LM, North, KE, Offit, K, Padoan, M, Patel, AV, Piro, S, Ravichandran, V, Riboli, E, de Sanjose, S, Severson, RK, Southey, MC, Staines, A, Stewart, C, Travis, RC, Weiderpass, E, Weinstein, S, Zheng, T, Chanock, SJ, Chatterjee, N, Rothman, N, Birmann, BM, Cerhan, JR, and Berndt, SI

Abstract

Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00-1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01-1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.

Published
2020

10. MTHFR variants reduce the risk of G:C[arrow right]A:T transition mutations within the p53 tumor suppressor gene in colon tumors

Author

Ulrich, C.M., Curtin, K., Samowitz, W., Bigler, J., Potter, J.D., Caan, B., and Slattery, M.L.

Subjects
Colon cancer -- Research, Mutagenesis -- Research, Enzymes -- Research, Food/cooking/nutrition
Abstract

5,10-Methylene-tetrahydrofolate reductase (MTHFR) is a key enzyme in folate-mediated 1-carbon metabolism. Reduced MTHFR activity has been associated with genomic DNA hypomethylation. Methylated cytosines at CpG sites are easily mutated and have been implicated in G:C[right arrow]A:T transitions in the p53 tumor suppressor gene. We investigated 2 polymorphisms in the MTHFR gene (C677T and A1298C) and their associations with colon tumor characteristics, including acquired mutations in Ki-ras and p53 genes and microsatellite instability (MSI). The study population comprised 1248 colon cancer cases and 1972 controls, who participated in a population-based case-control study and had been analyzed previously for MSl, acquired mutations in Ki-ras, p53, and germline MTHFR polymorphisms. Multivariable-adjusted odds ratios are presented. Overall, MTHFR genotypes were not associated with MSI status or the presence of any p53 or Ki-ras mutation. Individuals with homozygous variant MTHFR genotypes had a significantly reduced risk of G:C[right arrow]A:T transition mutations within the p53 gene, yet, as hypothesized, only at CpG-associated sites [677TT vs. 677CC (referent group) OR = 0.4 (95% CI: 0.1-0.8) for CpG-associated sites; OR = 1.5 (0.7-3.6) for non-CpG associated sites]. Genotypes conferring reduced MTHFR activity were associated with a decreased risk of acquired G:C[right arrow]A:T mutations within the p53 gene occurring at CpG sites. Consistent with evidence on the phenotypic effect of the MTHFR C677T variant, we hypothesize that this relation may be explained by modestly reduced genomic DNA methylation, resulting in a lower probability of spontaneous deamination of methylated cytosine to thymidine. These results suggest a novel mechanism by which MTHFR polymorphisms can affect the risk of colon cancer. KEY WORDS: * MTHFR * colon cancer * microsatellite instability * mutagenesis * Ki-ras * p53 * folate

Published
2005

13. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes

Author

Din, L., Sheikh, M., Kosaraju, N., Smedby, K.E., Bernatsky, S., Berndt, S.I., Skibola, C.F., Nieters, A., McKay, J.D., Cocco, P., Maynadié, M., Foretová, L., Staines, A., Mack, T.M., de Sanjosé, S., Vyse, T.J., Padyukov, L., Monnereau, A., Arslan, A.A., Moore, A., Brooks-Wilson, A.R., Glimelius, B., Birmann, B.M., Link, B.K., Stewart, C., Vajdic, C.M., Haioun, C., Magnani, C., Conti, D.V., Cox, D.G., Casabonne, D., Albanes, D., Kane, E., Roman, E., Muzi, G., Salles, G., Giles, G.G., Adami, H.-O., Ghesquières, H., De Vivo, I., Clavel, J., Cerhan, J.R., Spinelli, J.J., Vijai, J., Curtin, K., Costenbader, K.H., Onel, K., Offit, K., Teras, L.R., Morton, L., Conde, L., Miligi, L., Melbye, M., Ennas, M.G., Liebow, M., Purdue, M.P., Glenn, M., Southey, M.C., Din, M., Rothman, N., Camp, N.J., Wong Doo, N., Becker, N., Pradhan, N., Bracci, P.M., Boffetta, P., Vineis, P., Brennan, P., Kraft, P., Lan, Q., Severson, R.K., Vermeulen, R.C.H., Milne, R.L., Kaaks, R., Travis, R.C., Weinstein, S.J., Chanock, S.J., Ansell, S.M., Slager, S.L., Zheng, T., Benavente, Y., Taub, Z., Madireddy, L., Gourraud, P.-A., Oksenberg, J.R., Cozen, W., Hjalgrim, H., Khankhanian, P., Din, L., Sheikh, M., Kosaraju, N., Smedby, K.E., Bernatsky, S., Berndt, S.I., Skibola, C.F., Nieters, A., McKay, J.D., Cocco, P., Maynadié, M., Foretová, L., Staines, A., Mack, T.M., de Sanjosé, S., Vyse, T.J., Padyukov, L., Monnereau, A., Arslan, A.A., Moore, A., Brooks-Wilson, A.R., Glimelius, B., Birmann, B.M., Link, B.K., Stewart, C., Vajdic, C.M., Haioun, C., Magnani, C., Conti, D.V., Cox, D.G., Casabonne, D., Albanes, D., Kane, E., Roman, E., Muzi, G., Salles, G., Giles, G.G., Adami, H.-O., Ghesquières, H., De Vivo, I., Clavel, J., Cerhan, J.R., Spinelli, J.J., Vijai, J., Curtin, K., Costenbader, K.H., Onel, K., Offit, K., Teras, L.R., Morton, L., Conde, L., Miligi, L., Melbye, M., Ennas, M.G., Liebow, M., Purdue, M.P., Glenn, M., Southey, M.C., Din, M., Rothman, N., Camp, N.J., Wong Doo, N., Becker, N., Pradhan, N., Bracci, P.M., Boffetta, P., Vineis, P., Brennan, P., Kraft, P., Lan, Q., Severson, R.K., Vermeulen, R.C.H., Milne, R.L., Kaaks, R., Travis, R.C., Weinstein, S.J., Chanock, S.J., Ansell, S.M., Slager, S.L., Zheng, T., Benavente, Y., Taub, Z., Madireddy, L., Gourraud, P.-A., Oksenberg, J.R., Cozen, W., Hjalgrim, H., and Khankhanian, P.

Abstract

Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.

Published
2019

14. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes

Author

Din, L, Sheikh, M, Kosaraju, N, Smedby, KE, Bernatsky, S, Berndt, S, Skibola, CF, Nieters, A, Wang, S, McKay, JD, Cocco, P, Maynadie, M, Foretova, L, Staines, A, Mack, TM, de Sanjose, S, Vyse, TJ, Padyukov, L, Monnereau, A, Arslan, AA, Moore, A, Brooks-Wilson, AR, Novak, AJ, Glimelius, B, Birmann, BM, Link, BK, Stewart, C, Vajdic, CM, Haioun, C, Magnani, C, Conti, D, Cox, DG, Casabonne, D, Albanes, D, Kane, E, Roman, E, Muzi, G, Salles, G, Giles, GG, Adami, H-O, Ghesquieres, H, De Vivo, I, Clavel, J, Cerhan, JR, Spinelli, JJ, Hofmann, J, Vijai, J, Curtin, K, Costenbader, KH, Onel, K, Offit, K, Teras, LR, Morton, L, Conde, L, Miligi, L, Melbye, M, Ennas, MG, Liebow, M, Purdue, MP, Glenn, M, Southey, MC, Din, M, Rothman, N, Camp, NJ, Doo, NW, Becker, N, Pradhan, N, Bracci, PM, Boffetta, P, Vineis, P, Brennan, P, Kraft, P, Lan, Q, Severson, RK, Vermeulen, RCH, Milne, RL, Kaaks, R, Travis, RC, Weinstein, SJ, Chanock, SJ, Ansell, SM, Slager, SL, Zheng, T, Zhang, Y, Benavente, Y, Taub, Z, Madireddy, L, Gourraud, P-A, Oksenberg, JR, Cozen, W, Hjalgrim, H, Khankhanian, P, Din, L, Sheikh, M, Kosaraju, N, Smedby, KE, Bernatsky, S, Berndt, S, Skibola, CF, Nieters, A, Wang, S, McKay, JD, Cocco, P, Maynadie, M, Foretova, L, Staines, A, Mack, TM, de Sanjose, S, Vyse, TJ, Padyukov, L, Monnereau, A, Arslan, AA, Moore, A, Brooks-Wilson, AR, Novak, AJ, Glimelius, B, Birmann, BM, Link, BK, Stewart, C, Vajdic, CM, Haioun, C, Magnani, C, Conti, D, Cox, DG, Casabonne, D, Albanes, D, Kane, E, Roman, E, Muzi, G, Salles, G, Giles, GG, Adami, H-O, Ghesquieres, H, De Vivo, I, Clavel, J, Cerhan, JR, Spinelli, JJ, Hofmann, J, Vijai, J, Curtin, K, Costenbader, KH, Onel, K, Offit, K, Teras, LR, Morton, L, Conde, L, Miligi, L, Melbye, M, Ennas, MG, Liebow, M, Purdue, MP, Glenn, M, Southey, MC, Din, M, Rothman, N, Camp, NJ, Doo, NW, Becker, N, Pradhan, N, Bracci, PM, Boffetta, P, Vineis, P, Brennan, P, Kraft, P, Lan, Q, Severson, RK, Vermeulen, RCH, Milne, RL, Kaaks, R, Travis, RC, Weinstein, SJ, Chanock, SJ, Ansell, SM, Slager, SL, Zheng, T, Zhang, Y, Benavente, Y, Taub, Z, Madireddy, L, Gourraud, P-A, Oksenberg, JR, Cozen, W, Hjalgrim, H, and Khankhanian, P

Abstract

Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.

Published
2019

16. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukemia

Author

Law, PJ, Berndt, SI, Speedy, HE, Camp, NJ, Sava, GP, Skibola, CF, Holroyd, A, Joseph, V, Sunter, NJ, Nieters, A, Bea, S, Monnereau, A, Martin-Garcia, D, Goldin, LR, Clot, G, Teras, LR, Quintela, I, Birmann, BM, Jayne, S, Cozen, W, Majid, A, Smedby, KE, Dearden, C, Brooks-Wilson, AR, Hall, AG, Purdue, MP, Mainou-Fowler, T, Vajdic, CM, Jackson, GH, Cocco, P, Marr, H, Zhang, Y, Zheng, T, Giles, GG, Lawrence, C, Call, TG, Liebow, M, Melbye, M, Glimelius, B, Mansouri, L, Glenn, M, Curtin, K, Diver, WR, Link, BK, Conde, L, Bracci, PM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Boffetta, P, Brennan, P, Maynadie, M, McKay, J, Albanes, D, Weinstein, S, Wang, Z, Caporaso, NE, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Vermeulen, RCH, Southey, MC, Milne, RL, Clavel, J, Topka, S, Spinelli, JJ, Kraft, P, Grazia Ennas, M, Summerfield, G, Ferri, GM, Harris, RJ, Miligi, L, Pettitt, AR, North, KE, Allsup, DJ, Fraumeni, JF, Bailey, JR, Offit, K, Pratt, G, Hjalgrim, H, Pepper, C, Chanock, SJ, Fegan, C, Rosenquist, R, De Sanjose, S, Carracedo, A, Dyer, MJS, Catovsky, D, Campo, E, Cerhan, JR, Allan, JM, Rothman, N, Houlston, R, and Slager, S

Subjects
RISK, CHROMATIN, Science & Technology, LOCI, VARIANTS, DISEASE, Multidisciplinary Sciences, TRANSCRIPTION FACTORS, MD Multidisciplinary, IMPUTATION, Science & Technology - Other Topics, BREAST-CANCER, COMMON VARIATION, METAANALYSIS
Abstract

Several chronic lymphocytic leukemia (CLL) susceptibility loci have been reported, however much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1000 Genomes and UK10K data, totaling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P = 5.04x10-13), 1q42.13 (rs41271473, P = 1.06x10-10), 4q24 (rs71597109, P = 1.37x10-10), 4q35.1 (rs57214277, P = 3.69x10-8), 6p21.31 (rs3800461, P = 1.97x10-8), 11q23.2 (rs61904987, P = 2.64x10-11), 18q21.1 (rs1036935, P = 3.27x10-8), 19p13.3 (rs7254272, P = 4.67x10-8) and 22q13.33 (rs140522, P = 2.70x10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for key determinants of B-cell development and immune response.

Published
2016

17. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

Law, PJ, Berndt, SI, Speedy, HE, Camp, NJ, Sava, GP, Skibola, CF, Holroyd, A, Joseph, V, Sunter, NJ, Nieters, A, Bea, S, Monnereau, A, Martin-Garcia, D, Goldin, LR, Clot, G, Teras, LR, Quintela, I, Birmann, BM, Jayne, S, Cozen, W, Majid, A, Smedby, KE, Lan, Q, Dearden, C, Brooks-Wilson, AR, Hall, AG, Purdue, MP, Mainou-Fowler, T, Vajdic, CM, Jackson, GH, Cocco, P, Marr, H, Zhang, Y, Zheng, T, Giles, GG, Lawrence, C, Call, TG, Liebow, M, Melbye, M, Glimelius, B, Mansouri, L, Glenn, M, Curtin, K, Diver, WR, Link, BK, Conde, L, Bracci, PM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Boffetta, P, Brennan, P, Maynadie, M, McKay, J, Albanes, D, Weinstein, S, Wang, Z, Caporaso, NE, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Vermeulen, RCH, Southey, MC, Milne, RL, Clavel, J, Topka, S, Spinelli, JJ, Kraft, P, Ennas, MG, Summerfield, G, Ferri, GM, Harris, RJ, Miligi, L, Pettitt, AR, North, KE, Allsup, DJ, Fraumeni, JF, Bailey, JR, Offit, K, Pratt, G, Hjalgrim, H, Pepper, C, Chanock, SJ, Fegan, C, Rosenquist, R, de Sanjose, S, Carracedo, A, Dyer, MJS, Catovsky, D, Campo, E, Cerhan, JR, Allan, JM, Rothman, N, Houlston, R, Slager, SL, Law, PJ, Berndt, SI, Speedy, HE, Camp, NJ, Sava, GP, Skibola, CF, Holroyd, A, Joseph, V, Sunter, NJ, Nieters, A, Bea, S, Monnereau, A, Martin-Garcia, D, Goldin, LR, Clot, G, Teras, LR, Quintela, I, Birmann, BM, Jayne, S, Cozen, W, Majid, A, Smedby, KE, Lan, Q, Dearden, C, Brooks-Wilson, AR, Hall, AG, Purdue, MP, Mainou-Fowler, T, Vajdic, CM, Jackson, GH, Cocco, P, Marr, H, Zhang, Y, Zheng, T, Giles, GG, Lawrence, C, Call, TG, Liebow, M, Melbye, M, Glimelius, B, Mansouri, L, Glenn, M, Curtin, K, Diver, WR, Link, BK, Conde, L, Bracci, PM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Boffetta, P, Brennan, P, Maynadie, M, McKay, J, Albanes, D, Weinstein, S, Wang, Z, Caporaso, NE, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Vermeulen, RCH, Southey, MC, Milne, RL, Clavel, J, Topka, S, Spinelli, JJ, Kraft, P, Ennas, MG, Summerfield, G, Ferri, GM, Harris, RJ, Miligi, L, Pettitt, AR, North, KE, Allsup, DJ, Fraumeni, JF, Bailey, JR, Offit, K, Pratt, G, Hjalgrim, H, Pepper, C, Chanock, SJ, Fegan, C, Rosenquist, R, de Sanjose, S, Carracedo, A, Dyer, MJS, Catovsky, D, Campo, E, Cerhan, JR, Allan, JM, Rothman, N, Houlston, R, and Slager, SL

Abstract

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10-13), 1q42.13 (rs41271473, P=1.06 × 10-10), 4q24 (rs71597109, P=1.37 × 10-10), 4q35.1 (rs57214277, P=3.69 × 10-8), 6p21.31 (rs3800461, P=1.97 × 10-8), 11q23.2 (rs61904987, P=2.64 × 10-11), 18q21.1 (rs1036935, P=3.27 × 10-8), 19p13.3 (rs7254272, P=4.67 × 10-8) and 22q13.33 (rs140522, P=2.70 × 10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

Published
2017

18. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author

Berndt, SI, Camp, NJ, Skibola, CF, Vijai, J, Wang, Z, Gu, J, Nieters, A, Kelly, RS, Smedby, KE, Monnereau, A, Cozen, W, Cox, A, Wang, SS, Lan, Q, Teras, LR, Machado, M, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Vajdic, CM, Cocco, P, Zhang, Y, Giles, GG, Zeleniuch-Jacquotte, A, Lawrence, C, Montalvan, R, Burdett, L, Hutchinson, A, Ye, Y, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Cunningham, JM, Allmer, C, Hjalgrim, H, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Arnett, DK, Zhi, D, Leach, JM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Sala, N, Casabonne, D, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Chaffee, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Leis, JF, Weinberg, JB, Caporaso, NE, Norman, AD, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Southey, MC, Milne, RL, Albanese, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Villano, DJ, Maria, A, Spinelli, JJ, Gascoyne, RD, Connors, JM, Bertrand, KA, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Ma, B, Huang, J, Crouch, S, Park, J-H, Chatterjee, N, North, KE, Snowden, JA, Wright, J, Fraumeni, JF, Offit, K, Wu, X, de Sanjose, S, Cerhan, JR, Chanock, SJ, Rothman, N, Slager, SL, Berndt, SI, Camp, NJ, Skibola, CF, Vijai, J, Wang, Z, Gu, J, Nieters, A, Kelly, RS, Smedby, KE, Monnereau, A, Cozen, W, Cox, A, Wang, SS, Lan, Q, Teras, LR, Machado, M, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Vajdic, CM, Cocco, P, Zhang, Y, Giles, GG, Zeleniuch-Jacquotte, A, Lawrence, C, Montalvan, R, Burdett, L, Hutchinson, A, Ye, Y, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Cunningham, JM, Allmer, C, Hjalgrim, H, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Arnett, DK, Zhi, D, Leach, JM, Holly, EA, Jackson, RD, Tinker, LF, Benavente, Y, Sala, N, Casabonne, D, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Chaffee, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Leis, JF, Weinberg, JB, Caporaso, NE, Norman, AD, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Southey, MC, Milne, RL, Albanese, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Villano, DJ, Maria, A, Spinelli, JJ, Gascoyne, RD, Connors, JM, Bertrand, KA, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Ma, B, Huang, J, Crouch, S, Park, J-H, Chatterjee, N, North, KE, Snowden, JA, Wright, J, Fraumeni, JF, Offit, K, Wu, X, de Sanjose, S, Cerhan, JR, Chanock, SJ, Rothman, N, and Slager, SL

Abstract

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.

Published
2016

19. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Jr, F.J.F., de Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.

Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10−14), 18q21.33 (BCL2, P = 7.76 × 10−11), 11p15.5 (C11orf21, P = 2.15 × 10−10), 4q25 (LEF1, P = 4.24 × 10−10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10−9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10−8), 18q21.32 (PMAIP1, P = 2.51 × 10−8), 15q15.1 (BMF, P = 2.71 × 10−10) and 2p22.2 (QPCT, P = 1.68 × 10−8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10−18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10−8) and 5p15.33 (TERT, P = 1.92 × 10−7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

20. Phospholipase A2A polymorphisms and risk of colorectal neoplasia

Author

Abbenhardt, C, Poole, EM, Xiao, L, Slattery, ML, Galbraith, RL, Duggan, D, Makar, KW, Kulmacz, RJ, Curtin, K, Potter, JD, Caan, BJ, Muehling, J, Taverna, D, Carlson, CS, and Ulrich, CM

Subjects
ddc: 610, lipids (amino acids, peptides, and proteins), colorectal cancer, 610 Medical sciences, Medicine, polymorphisms, SNPs
Abstract

Introduction: Pancreatic phospholipase A2 (also known as PLA2G1B or PLA2A) catalyzes the release of fatty acids from dietary phospholipids for adsorption in the small intestine. Some of the polyunsaturated fatty acids removed from the intestinal lumen are precursors to eicosanoids, which are linked [for full text, please go to the a.m. URL], Mainz//2011; 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi)

Published
2011
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21. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, Slager, SL, Berndt, SI, Skibola, CF, Joseph, V, Camp, NJ, Nieters, A, Wang, Z, Cozen, W, Monnereau, A, Wang, SS, Kelly, RS, Lan, Q, Teras, LR, Chatterjee, N, Chung, CC, Yeager, M, Brooks-Wilson, AR, Hartge, P, Purdue, MP, Birmann, BM, Armstrong, BK, Cocco, P, Zhang, Y, Severi, G, Zeleniuch-Jacquotte, A, Lawrence, C, Burdette, L, Yuenger, J, Hutchinson, A, Jacobs, KB, Call, TG, Shanafelt, TD, Novak, AJ, Kay, NE, Liebow, M, Wang, AH, Smedby, KE, Adami, H-O, Melbye, M, Glimelius, B, Chang, ET, Glenn, M, Curtin, K, Cannon-Albright, LA, Jones, B, Diver, WR, Link, BK, Weiner, GJ, Conde, L, Bracci, PM, Riby, J, Holly, EA, Smith, MT, Jackson, RD, Tinker, LF, Benavente, Y, Becker, N, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, McKay, J, Staines, A, Rabe, KG, Achenbach, SJ, Vachon, CM, Goldin, LR, Strom, SS, Lanasa, MC, Spector, LG, Leis, JF, Cunningham, JM, Weinberg, JB, Morrison, VA, Caporaso, NE, Norman, AD, Linet, MS, De Roos, AJ, Morton, LM, Severson, RK, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Masala, G, Weiderpass, E, Chirlaque, M-D, Vermeulen, RCH, Travis, RC, Giles, GG, Albanes, D, Virtamo, J, Weinstein, S, Clavel, J, Zheng, T, Holford, TR, Offit, K, Zelenetz, A, Klein, RJ, Spinelli, JJ, Bertrand, KA, Laden, F, Giovannucci, E, Kraft, P, Kricker, A, Turner, J, Vajdic, CM, Ennas, MG, Ferri, GM, Miligi, L, Liang, L, Sampson, J, Crouch, S, Park, J-H, North, KE, Cox, A, Snowden, JA, Wright, J, Carracedo, A, Lopez-Otin, C, Bea, S, Salaverria, I, Martin-Garcia, D, Campo, E, Fraumeni, JF, de Sanjose, S, Hjalgrim, H, Cerhan, JR, Chanock, SJ, Rothman, N, and Slager, SL

Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

22. Characterization of the association between 8q24 and colon cancer: Gene-environment exploration and meta-analysis

Author

Hutter, CM, Slattery, ML, Duggan, DJ, Muehling, J, Curtin, K, Hsu, L, Beresford, SAA, Rajkovic, A, Sarto, GE, Marshall, JR, Hammad, N, Wallace, R, Makar, KW, Prentice, RL, Caan, BJ, Potter, JD, Peters, U, Hutter, CM, Slattery, ML, Duggan, DJ, Muehling, J, Curtin, K, Hsu, L, Beresford, SAA, Rajkovic, A, Sarto, GE, Marshall, JR, Hammad, N, Wallace, R, Makar, KW, Prentice, RL, Caan, BJ, Potter, JD, and Peters, U

Abstract

Background: Genome-wide association studies and subsequent replication studies have shown that single nucleotide polymorphisms (SNPs) in the chromosomal region 8q24 are associated with colorectal cancer susceptibility.Methods: We examined 11 SNP markers in the 8q24 region between 128.47 and 128.54 Mb, using a total of 1,987 colon cases and 2,339 controls who self-reported as white from two independent, well-characterized study populations. Analysis was performed separately within each study, and combined using random effects meta-analysis. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) and to test for effect modification by known colon cancer risk factors. We also performed a meta-analysis combining our results with previous studies.Results: We observed evidence of association for four SNPs in low to high linkage disequilibrium (r2 ranging from 0.18 to 0.93) localized in a 16.2 kb region defined by rs10505477 and rs1056368. The combined results for our two studies of colon cancer showed an OR of 1.10 (95% CI: 1.01-1.20, Ptrend = 0.023), and a meta-analysis of our results with previously reported studies of colon and colorectal cancer strongly support the association for this SNP (combined OR for rs6983267 = 1.21, 95% CI: 1.18-1.24, p = 5.5 × 10-44). We did not observe any notable evidence of effect modification by known colon cancer risk factors, and risk did not differ significantly by tumor site or stage.Conclusions: Our study confirms the association between polymorphisms on chromosome 8q24 and colon cancer risk and suggests that the susceptibility locus in region 8q24 is not strongly modified by various lifestyle, environmental, and demographic risk factors for colon cancer. © 2010 Hutter et al; licensee BioMed Central Ltd.

Published
2010

27. A review of 2D and 3D plasmonic nanostructure array patterns: fabrication, light management and sensing applications

Author

Kasani Sujan, Curtin Kathrine, and Wu Nianqiang

Subjects
plasmon, nanostructures, nano-array, lithography, nanofabrication, sensor, surface-enhanced raman scattering (sers), Physics, QC1-999
Abstract

This review article discusses progress in surface plasmon resonance (SPR) of two-dimensional (2D) and three-dimensional (3D) chip-based nanostructure array patterns. Recent advancements in fabrication techniques for nano-arrays have endowed researchers with tools to explore a material’s plasmonic optical properties. In this review, fabrication techniques including electron-beam lithography, focused-ion lithography, dip-pen lithography, laser interference lithography, nanosphere lithography, nanoimprint lithography, and anodic aluminum oxide (AAO) template-based lithography are introduced and discussed. Nano-arrays have gained increased attention because of their optical property dependency (light-matter interactions) on size, shape, and periodicity. In particular, nano-array architectures can be tailored to produce and tune plasmonic modes such as localized surface plasmon resonance (LSPR), surface plasmon polariton (SPP), extraordinary transmission, surface lattice resonance (SLR), Fano resonance, plasmonic whispering-gallery modes (WGMs), and plasmonic gap mode. Thus, light management (absorption, scattering, transmission, and guided wave propagation), as well as electromagnetic (EM) field enhancement, can be controlled by rational design and fabrication of plasmonic nano-arrays. Because of their optical properties, these plasmonic modes can be utilized for designing plasmonic sensors and surface-enhanced Raman scattering (SERS) sensors.

Published
2019
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30. Modifying effects of IL-6 polymorphisms on body size-associated breast cancer risk.

Author

Slattery ML, Curtin K, Sweeney C, Wolff RK, Baumgartner RN, Baumgartner KB, Giuliano AR, Byers T, Slattery, Martha L, Curtin, Karen, Sweeney, Carol, Wolff, Roger K, Baumgartner, Richard N, Baumgartner, Kathy B, Giuliano, Anna R, and Byers, Tim

Abstract

Objective: The association between obesity and breast cancer risk is complex. We examined whether the association between body size and breast cancer risk is modified by interleukin-6 (IL6) genotype.Methods and Procedures: Five polymorphisms in the IL-6 gene (rs1800797/-596A>G, rs1800796/-572G>C, rs1800795/-174G>C, rs2069832/IVS2G>A, and rs2069849 exon 5 C>T) were studied. We investigated IL6 genotypes and haplotypes with indicators of body size among non-Hispanic white (NHW) and Hispanic/American Indian (AI) breast cancer cases and controls living in the Southwestern United States.Results: We observed lower mean levels of BMI among NHW women who carried one or two copies of the GGCAC haplotype (in order: rs1800797, rs1800796, rs1800795, rs2069832, and rs2069849; P trend 0.02). This haplotype, with an estimated frequency of 43% in NHW study controls, was considerably less common in Hispanic/AI controls (19%). We did not detect significant interactions between IL6 genotypes or haplotypes and BMI categorized as low/normal (<25), overweight (25 to <30), or obese (> or =30) and breast cancer risk in either NHW or Hispanic/AI women. However, we detected consistent and significant interactions between waist-to-hip ratio (WHR) and IL6 rs1800795/-174 G>C genotype for breast cancer risk. These associations were restricted to postmenopausal NHW women. Among women without recent hormone exposure, those with a WHR >0.9 and the rs1800795 GG genotype had a greater than threefold increased risk of breast cancer (odds ratios (ORs) 3.22, 95% confidence intervals (CIs) 1.27, 817) when compared with women with a WHR <0.8 and the rs1800795 GG genotype (P interaction 0.01).Discussion: These data suggest that IL-6 genotypes may influence breast cancer risk in conjunction with central adiposity. [ABSTRACT FROM AUTHOR]

Published
2008
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32. Physician reactions to quantitative individual performance reports.

Author

Beckman H, Suchman AL, Curtin K, and Greene RA

Abstract

The purpose of this study was to learn how primary care physicians experienced the introduction and evolution of an individual physician pay-for-performance program. Thirty primary care physicians participated in audiotaped focus groups 13 and 26 months after beginning the program. Transcribed audiotapes were used to group comments into themes. Ten thematic groups were identified. Practitioners reviewed their profiles but found it difficult to use them to change behaviors. They were concerned about the data accuracy, the influence of specialists and patients on their 'scores,' and, less, the validity of quality measures. They described ways the program changed their practices and consideration of cost, quality, and satisfaction. There were important concerns about the influence of pay-for-performance programs on professionalism. Primary care physicians were skeptical of this pay-for-performance program. On the other hand, physicians described positive influences on making improvements in quality, satisfaction, and practice efficiency. [ABSTRACT FROM AUTHOR]

Published
2006

33. Associations between cigarette smoking, lifestyle factors, and microsatellite instability in colon tumors.

Author

Slattery, Martha L., Curtin, Karen, Slattery, M L, Curtin, K, Anderson, K, Ma, K N, Ballard, L, Edwards, S, Schaffer, D, Potter, J, Leppert, M, and Samowitz, W S

Subjects
COLON cancer risk factors, SMOKING, LIFESTYLES, MICROSATELLITE repeats, HEALTH
Abstract

Background: Microsatellite instability (MSI) has been reported to occur in approximately 10%-15% of colon tumors. MSI is characterized by the presence of mutations in tandemly repeated DNA sequences known as microsatellites. Some individuals with unstable tumors have inherited mutations in mismatch repair genes, but MSI is also observed in sporadic colon cancer. It is unknown whether lifestyle factors associated with colon cancer, such as physical activity, body size, cigarette smoking, or use of aspirin and/or nonsteroidal anti-inflammatory drugs, contribute to MSI in sporadic tumors.Methods: Data from a population-based, case-control study of colon cancer were used. Case subjects were between 30 and 79 years of age at the time of diagnosis and included both men and women. Questionnaire data were used to obtain information on lifestyle factors. Tumor MSI was determined with the use of a panel of 10 tetranucleotide repeats and two mononucleotide repeats. A total of 1510 case subjects had valid questionnaire data and tumor DNA from which we were able to obtain MSI status. Questionnaire data were compared with lifestyle factors reported by 2410 population-based control subjects. All statistical tests were two-sided.Results: MSI-positive (MSI(+)) tumors were most common in older people and women and in the proximal colon. Patients with MSI(+) tumors were more likely to smoke 20 or more cigarettes a day than case subjects with MSI-negative (MSI(-)) tumors (odds ratio for being a smoker = 1.6 [95% confidence interval = 1.0-2.5] for men and 2.2 [95% confidence interval = 1.4-3.5] for women). The association between MSI(+) tumors and cigarette smoking was strongest among case subjects who started to smoke at a young age, smoked for 35 or more years, and were either current smokers or had stopped fewer than 15 years before diagnosis. A statistically significant linear trend of increased risk of MSI(+) tumors was observed with increasing amount smoked (P<.01).Conclusions: This study suggests that smoking cigarettes statistically significantly contributes to MSI in colon tumors. We estimate that approximately 21% of MSI in colon tumors may be attributable to cigarette smoking. [ABSTRACT FROM AUTHOR]

Published
2000
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35. CIVIL DEFENSE COMMUNICATIONS RESEARCH. TASK 7. OCD WORK UNIT NUMBER 2211B.

Author

RADIO CORP OF AMERICA NEW YORK COMMUNICATIONS SYSTEMS DIV, Curtin, K., Siegel, L., RADIO CORP OF AMERICA NEW YORK COMMUNICATIONS SYSTEMS DIV, Curtin, K., and Siegel, L.

Abstract

The concept is developed for analyzing and evaluating the evolving Civil Defense Communications System through periodic system evaluation exercises. A feasible method is presented for measuring operational capabilities using obtainable information about system characteristics, operational environments, and user needs. Appropriate criteria of system effectiveness are specified to allow selection of 'optimum' system configurations and to provide the basis for evaluation of future systems and techniques for possible inclusion in the Civil Defense Communication System. (Author), Prepared in cooperation with Stanford Research Inst., Menlo Park, Calif.

Published
1965

36. Exploring multilocus associations of inflammation genes and colorectal cancer risk using hapConstructor

Author

Abo Ryan, Herrick Jennifer S, Wolff Roger K, Curtin Karen, and Slattery Martha L

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background In candidate-gene association studies of single nucleotide polymorphisms (SNPs), multilocus analyses are frequently of high dimensionality when considering haplotypes or haplotype pairs (diplotypes) and differing modes of expression. Often, while candidate genes are selected based on their biological involvement in a given pathway, little is known about the functionality of SNPs to guide association studies. Investigators face the challenge of exploring multiple SNP models to elucidate which variants, independently or in combination, might be associated with a disease of interest. A data mining module, hapConstructor (freely-available in Genie software) performs systematic construction and association testing of multilocus genotype data in a Monte Carlo framework. Our objective was to assess its utility to guide statistical analyses of haplotypes within a candidate region (or combined genotypes across candidate genes) beyond that offered by a standard logistic regression approach. Methods We applied the hapConstructor method to a multilocus investigation of candidate genes involved in pro-inflammatory cytokine IL6 production, IKBKB, IL6, and NFKB1 (16 SNPs total) hypothesized to operate together to alter colorectal cancer risk. Data come from two U.S. multicenter studies, one of colon cancer (1,556 cases and 1,956 matched controls) and one of rectal cancer (754 cases and 959 matched controls). Results HapConstrcutor enabled us to identify important associations that were further analyzed in logistic regression models to simultaneously adjust for confounders. The most significant finding (nominal P = 0.0004; false discovery rate q = 0.037) was a combined genotype association across IKBKB SNP rs5029748 (1 or 2 variant alleles), IL6 rs1800797 (1 or 2 variant alleles), and NFKB1 rs4648110 (2 variant alleles) which conferred an ~80% decreased risk of colon cancer. Conclusions Strengths of hapConstructor were: systematic identification of multiple loci within and across genes important in CRC risk; false discovery rate assessment; and efficient guidance of subsequent logistic regression analyses.

Published
2010
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37. Characterization of the association between 8q24 and colon cancer: gene-environment exploration and meta-analysis

Author

Wallace Robert, Hammad Nazik, Marshall James R, Sarto Gloria E, Rajkovic Aleksandar, Beresford Shirley AA, Hsu Li, Curtin Karen, Muehling Jill, Duggan David J, Slattery Martha L, Hutter Carolyn M, Makar Karen W, Prentice Ross L, Caan Bette J, Potter John D, and Peters Ulrike

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background Genome-wide association studies and subsequent replication studies have shown that single nucleotide polymorphisms (SNPs) in the chromosomal region 8q24 are associated with colorectal cancer susceptibility. Methods We examined 11 SNP markers in the 8q24 region between 128.47 and 128.54 Mb, using a total of 1,987 colon cases and 2,339 controls who self-reported as white from two independent, well-characterized study populations. Analysis was performed separately within each study, and combined using random effects meta-analysis. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) and to test for effect modification by known colon cancer risk factors. We also performed a meta-analysis combining our results with previous studies. Results We observed evidence of association for four SNPs in low to high linkage disequilibrium (r2 ranging from 0.18 to 0.93) localized in a 16.2 kb region defined by rs10505477 and rs1056368. The combined results for our two studies of colon cancer showed an OR of 1.10 (95% CI: 1.01-1.20, Ptrend = 0.023), and a meta-analysis of our results with previously reported studies of colon and colorectal cancer strongly support the association for this SNP (combined OR for rs6983267 = 1.21, 95% CI: 1.18-1.24, p = 5.5 × 10-44). We did not observe any notable evidence of effect modification by known colon cancer risk factors, and risk did not differ significantly by tumor site or stage. Conclusions Our study confirms the association between polymorphisms on chromosome 8q24 and colon cancer risk and suggests that the susceptibility locus in region 8q24 is not strongly modified by various lifestyle, environmental, and demographic risk factors for colon cancer.

Published
2010
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38. PedGenie: meta genetic association testing in mixed family and case-control designs

Author

Allen-Brady Kristina, Wong Jathine, Curtin Karen, and Camp Nicola J

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background- PedGenie software, introduced in 2006, includes genetic association testing of cases and controls that may be independent or related (nuclear families or extended pedigrees) or mixtures thereof using Monte Carlo significance testing. Our aim is to demonstrate that PedGenie, a unique and flexible analysis tool freely available in Genie 2.4 software, is significantly enhanced by incorporating meta statistics for detecting genetic association with disease using data across multiple study groups. Methods- Meta statistics (chi-squared tests, odds ratios, and confidence intervals) were calculated using formal Cochran-Mantel-Haenszel techniques. Simulated data from unrelated individuals and individuals in families were used to illustrate meta tests and their empirically-derived p-values and confidence intervals are accurate, precise, and for independent designs match those provided by standard statistical software. Results- PedGenie yields accurate Monte Carlo p-values for meta analysis of data across multiple studies, based on validation testing using pedigree, nuclear family, and case-control data simulated under both the null and alternative hypotheses of a genotype-phenotype association. Conclusion- PedGenie allows valid combined analysis of data from mixtures of pedigree-based and case-control resources. Added meta capabilities provide new avenues for association analysis, including pedigree resources from large consortia and multi-center studies.

Published
2007
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41. Genetically Determined Height and Risk of Non-hodgkin Lymphoma

Author

Amy Moore, Eleanor Kane, Zhaoming Wang, Orestis A. Panagiotou, Lauren R. Teras, Alain Monnereau, Nicole Wong Doo, Mitchell J. Machiela, Christine F. Skibola, Susan L. Slager, Gilles Salles, Nicola J. Camp, Paige M. Bracci, Alexandra Nieters, Roel C. H. Vermeulen, Joseph Vijai, Karin E. Smedby, Yawei Zhang, Claire M. Vajdic, Wendy Cozen, John J. Spinelli, Henrik Hjalgrim, Graham G. Giles, Brian K. Link, Jacqueline Clavel, Alan A. Arslan, Mark P. Purdue, Lesley F. Tinker, Demetrius Albanes, Giovanni M. Ferri, Thomas M. Habermann, Hans-Olov Adami, Nikolaus Becker, Yolanda Benavente, Simonetta Bisanzi, Paolo Boffetta, Paul Brennan, Angela R. Brooks-Wilson, Federico Canzian, Lucia Conde, David G. Cox, Karen Curtin, Lenka Foretova, Susan M. Gapstur, Hervé Ghesquières, Martha Glenn, Bengt Glimelius, Rebecca D. Jackson, Qing Lan, Mark Liebow, Marc Maynadie, James McKay, Mads Melbye, Lucia Miligi, Roger L. Milne, Thierry J. Molina, Lindsay M. Morton, Kari E. North, Kenneth Offit, Marina Padoan, Alpa V. Patel, Sara Piro, Vignesh Ravichandran, Elio Riboli, Silvia de Sanjose, Richard K. Severson, Melissa C. Southey, Anthony Staines, Carolyn Stewart, Ruth C. Travis, Elisabete Weiderpass, Stephanie Weinstein, Tongzhang Zheng, Stephen J. Chanock, Nilanjan Chatterjee, Nathaniel Rothman, Brenda M. Birmann, James R. Cerhan, Sonja I. Berndt, Moore A., Kane E., Wang Z., Panagiotou O.A., Teras L.R., Monnereau A., Wong Doo N., Machiela M.J., Skibola C.F., Slager S.L., Salles G., Camp N.J., Bracci P.M., Nieters A., Vermeulen R.C.H., Vijai J., Smedby K.E., Zhang Y., Vajdic C.M., Cozen W., Spinelli J.J., Hjalgrim H., Giles G.G., Link B.K., Clavel J., Arslan A.A., Purdue M.P., Tinker L.F., Albanes D., Ferri G.M., Habermann T.M., Adami H.-O., Becker N., Benavente Y., Bisanzi S., Boffetta P., Brennan P., Brooks-Wilson A.R., Canzian F., Conde L., Cox D.G., Curtin K., Foretova L., Gapstur S.M., Ghesquieres H., Glenn M., Glimelius B., Jackson R.D., Lan Q., Liebow M., Maynadie M., McKay J., Melbye M., Miligi L., Milne R.L., Molina T.J., Morton L.M., North K.E., Offit K., Padoan M., Patel A.V., Piro S., Ravichandran V., Riboli E., de Sanjose S., Severson R.K., Southey M.C., Staines A., Stewart C., Travis R.C., Weiderpass E., Weinstein S., Zheng T., Chanock S.J., Chatterjee N., Rothman N., Birmann B.M., Cerhan J.R., and Berndt S.I.

Subjects
0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, Chronic lymphocytic leukemia, Follicular lymphoma, diffuse large B-cell lymphoma, Single-nucleotide polymorphism, Genome-wide association study, lcsh:RC254-282, 03 medical and health sciences, 0302 clinical medicine, follicular lymphoma, immune system diseases, Internal medicine, hemic and lymphatic diseases, Genetics, Medicine, Leucèmia limfocítica crònica, genetics, Original Research, Genetic association, Cancer och onkologi, business.industry, non-Hodgkin lymphoma, Odds ratio, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, marginal zone lymphoma, Lymphoma, Malaltia de Hodgkin, 030104 developmental biology, Cancer and Oncology, 030220 oncology & carcinogenesis, polygenic risk score, diffuse large B-celllymphoma, chronic lymphocytic leukemia, Hodgkin's disease, genetic, business, Diffuse large B-cell lymphoma, Genètica, height
Abstract

Although the evidence is not consistent, epidemiologic studies have suggested that taller adult height may be associated with an increased risk of some non-Hodgkin lymphoma (NHL) subtypes. Height is largely determined by genetic factors, but how these genetic factors may contribute to NHL risk is unknown. We investigated the relationship between genetic determinants of height and NHL risk using data from eight genome-wide association studies (GWAS) comprising 10,629 NHL cases, including 3,857 diffuse large B-cell lymphoma (DLBCL), 2,847 follicular lymphoma (FL), 3,100 chronic lymphocytic leukemia (CLL), and 825 marginal zone lymphoma (MZL) cases, and 9,505 controls of European ancestry. We evaluated genetically predicted height by constructing polygenic risk scores using 833 height-associated SNPs. We used logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between genetically determined height and the risk of four NHL subtypes in each GWAS and then used fixed-effect meta-analysis to combine subtype results across studies. We found suggestive evidence between taller genetically determined height and increased CLL risk (OR = 1.08, 95% CI = 1.00–1.17, p = 0.049), which was slightly stronger among women (OR = 1.15, 95% CI: 1.01–1.31, p = 0.036). No significant associations were observed with DLBCL, FL, or MZL. Our findings suggest that there may be some shared genetic factors between CLL and height, but other endogenous or environmental factors may underlie reported epidemiologic height associations with other subtypes.

Published
2020

42. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes

Author

Paul Brennan, M. G. Ennas, Qing Lan, Sasha Bernatsky, Alan A. Arslan, Peter Kraft, Lohith Madireddy, Roel Vermeulen, Kenan Onel, Graham G. Giles, John J. Spinelli, Eleanor Kane, Bengt Glimelius, Alexandra Nieters, David V. Conti, Christine F. Skibola, Pouya Khankhanian, Amy Moore, Ruth C. Travis, Mads Melbye, Sonja I. Berndt, Mark Liebow, Lauren R. Teras, Pierluigi Cocco, Lennox Din, Alain Monnereau, Mark P. Purdue, Lenka Foretova, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Wendy Cozen, Kenneth Offit, Demetrius Albanes, Anne J. Novak, Melissa C. Southey, Paolo Boffetta, Nicola J. Camp, James R. Cerhan, Rudolph Kaaks, Silvia de Sanjosé, Karen Curtin, Sophia S. Wang, James McKay, Nicole Wong Doo, Hans-Olov Adami, Tongzhang Zheng, Claire M. Vajdic, Nisha Pradhan, Giacomo Muzi, Gilles Salles, Nathaniel Rothman, Yolanda Benavente, Marc Maynadié, Brian K. Link, Delphine Casabonne, Hervé Ghesquières, Joseph Vijai, Karin E. Smedby, Paige M. Bracci, David G. Cox, Brenda M. Birmann, Lucia Miligi, Carolyn Stewart, Lucia Conde, Leonid Padyukov, Eve Roman, Richard K. Severson, Jorge R. Oksenberg, Immaculata De Vivo, Yawei Zhang, Corrado Magnani, Jacqueline Clavel, Lindsay M. Morton, Corinne Haioun, Jonathan N. Hofmann, Karen H. Costenbader, Pierre-Antoine Gourraud, Mohammad Sheikh, Stephanie J. Weinstein, Susan L. Slager, Paolo Vineis, Nikitha Kosaraju, Zachary Taub, Henrik Hjalgrim, Roger L. Milne, Morris Din, Martha Glenn, Nikolaus Becker, Timothy J. Vyse, Thomas M. Mack, Anthony Staines, Department of Medicine, Clinical Epidemiology, McGill University Health Center [Montreal] (MUHC), National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Emory University [Atlanta, GA], Center for Chronic Immunodeficiency (CCI), University Medical Center Freiburg, Freiburg, Germany, International Agency for Cancer Research (IACR), Department of Public Health, Vientiane Municipality, Registre des hémopathies malignes de Côte d'Or, Masaryk Memorial Cancer Institute and Medical Faculty of Masaryk University, GRAPHOS - IFROSS Recherche, Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon, Faculty of Medicine, Section of Rheumatology, Imperial College London, Karolinska Institutet [Stockholm], Epidémiologie environnementale des cancers, Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Uppsala Universitet [Uppsala], Carver College of Medicine, University of Iowa, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Division of Cancer Epidemiology and Genetics, National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Health Sciences, University of York [York, UK], Service de Radio-Oncologie [Lyon], Hospices Civils de Lyon (HCL)-Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), University of Melbourne, Centre Léon Bérard [Lyon], Mayo Clinic [Rochester], Occupational and Environmental Epidemiology Branch [Bethesda, Maryland], Division of Cancer Epidemiology and Genetics [Bethesda, Maryland], National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), Memorial Sloane Kettering Cancer Center [New York], Huntsman Cancer Institute, Clinical Genetics Service, ISPO - Cancer Prevention and Research Institute, Unit of Environmental and Occupational Epidemiology, Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], B.B. Brodie Department of Neuroscience, Department of Pathology, Division of Cancer Epidemiology, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Unit of Environment Cancer Epidemiology, IARC, University of Torino and CPO-Piemonte, Università degli studi di Torino (UNITO), Department of Epidemiology, Harvard School of Public Health, Wayne State University [Detroit], Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Cancer Epidemiology Centre, Cancer Council Victoria, Cancer Epidemiology Unit, University of Oxford [Oxford], De la Molécule aux Nanos-objets : Réactivité, Interactions et Spectroscopies (MONARIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Catalan Institute of Oncology (ICO), Department of Neurology [San Francisco, CA, USA], University of California [San Francisco] (UCSF), University of California-University of California, Norris Comprehensive Cancer Center, Masaryk University [Brno] (MUNI), Università degli studi di Torino = University of Turin (UNITO), University of California [San Francisco] (UC San Francisco), University of California (UC)-University of California (UC), Imperial College London, University of Oxford, Din L., Sheikh M., Kosaraju N., Smedby K.E., Bernatsky S., Berndt S.I., Skibola C.F., Nieters A., Wang S., McKay J.D., Cocco P., Maynadie M., Foretova L., Staines A., Mack T.M., de Sanjose S., Vyse T.J., Padyukov L., Monnereau A., Arslan A.A., Moore A., Brooks-Wilson A.R., Novak A.J., Glimelius B., Birmann B.M., Link B.K., Stewart C., Vajdic C.M., Haioun C., Magnani C., Conti D.V., Cox D.G., Casabonne D., Albanes D., Kane E., Roman E., Muzi G., Salles G., Giles G.G., Adami H.-O., Ghesquieres H., De Vivo I., Clavel J., Cerhan J.R., Spinelli J.J., Hofmann J., Vijai J., Curtin K., Costenbader K.H., Onel K., Offit K., Teras L.R., Morton L., Conde L., Miligi L., Melbye M., Ennas M.G., Liebow M., Purdue M.P., Glenn M., Southey M.C., Din M., Rothman N., Camp N.J., Wong Doo N., Becker N., Pradhan N., Bracci P.M., Boffetta P., Vineis P., Brennan P., Kraft P., Lan Q., Severson R.K., Vermeulen R.C.H., Milne R.L., Kaaks R., Travis R.C., Weinstein S.J., Chanock S.J., Ansell S.M., Slager S.L., Zheng T., Zhang Y., Benavente Y., Taub Z., Madireddy L., Gourraud P.-A., Oksenberg J.R., Cozen W., Hjalgrim H., Khankhanian P., and Le Bihan, Sylvie

Subjects
Oncology, Male, Multifactorial Inheritance, Lymphoma, Epidemiology, Chronic lymphocytic leukemia, Follicular lymphoma, Genome-wide association study, Disease, Neurodegenerative, meta-analysi, immune system diseases, HLA Antigens, Risk Factors, hemic and lymphatic diseases, 2.1 Biological and endogenous factors, HLA Antigen, Aetiology, Genetics (clinical), Cancer, Allele, 0303 health sciences, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Lymphoma, Non-Hodgkin, non-Hodgkin lymphoma, 030305 genetics & heredity, Single Nucleotide, Hematology, Middle Aged, 3. Good health, Public Health and Health Services, Female, Human, medicine.medical_specialty, autoimmune disease, genome-wide association study, meta-analysis, Alleles, Autoimmune Diseases, Humans, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Non-Hodgkin, Article, 03 medical and health sciences, Rare Diseases, Internal medicine, Genetic variation, medicine, Genetics, Polymorphism, 030304 developmental biology, Autoimmune disease, business.industry, Multiple sclerosis, Risk Factor, Arthritis, Inflammatory and immune system, Human Genome, medicine.disease, Brain Disorders, business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.

Published
2019

43. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author

Law, Philip J, Berndt, Sonja I, Speedy, Helen E, Camp, Nicola J, Sava, Georgina P, Skibola, Christine F, Holroyd, Amy, Vijai, Joseph, Sunter, Nicola J, Nieters, Alexandra, Bea, Silvia, Pettitt, AR, Monnereau, Alain, Martin-Garcia, David, Goldin, Lynn R, Clot, Guillem, Teras, Lauren R, Quintela, Inés, Birmann, Brenda M, Jayne, Sandrine J, Cozen, Wendy, Majid, Aneela, Smedby, Karin E, Lan, Qing, Dearden, Claire, Brooks-Wilson, Angela R, Hall, Andrew G, Purdue, Mark P, Mainou-Fowler, Tryfonia, Vajdic, Claire M, Jackson, Graham H, Cocco, Pierluigi, Marr, Helen, Zhang, Yawei, Zheng, Tongzhang, Giles, Graham G, Lawrence, Charles, Call, Timothy G, Liebow, Mark, Melbye, Mads, Glimelius, Bengt, Mansouri, Larry, Glenn, Martha, Curtin, Karen, Diver, W Ryan, Link, Brian K, Conde, Lucia, Bracci, Paige M, Holly, Elizabeth A, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Maynadie, Marc, Mckay, James, Albanes, Demetrius, Weinstein, Stephanie, Wang, Zhaoming, Caporaso, Neil E, Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Vermeulen, Roel CH, Southey, Melissa C, Milne, Roger L, Clavel, Jacqueline, Topka, Sabine, Spinelli, John J, Kraft, Peter, Ennas, Maria Grazia, Summerfield, Geoffrey, Ferri, Giovanni M, Harris, Robert J, Miligi, Lucia, Pettitt, Andrew R, North, Kari E, Allsup, David J, Fraumeni, Joseph F, Bailey, James R, Offit, Kenneth, Pratt, Guy, Hjalgrim, Henrik, Pepper, Chris, Chanock, Stephen J, Fegan, Chris, Rosenquist, Richard, Sanjose, Silvia de, Carracedo, Angel, Dyer, Martin JS, Catovsky, Daniel, Campo, Elias, Cerhan, James R, Allan, James M, Rothman, Nathanial, Houlston, Richard, Slager, Susan, Law, P.J., Berndt, S.I., Speedy, H.E., Camp, N.J., Sava, G.P., Skibola, C.F., Holroyd, A., Joseph, V., Sunter, N.J., Nieters, A., Bea, S., Monnereau, A., Martin-Garcia, D., Goldin, L.R., Clot, G., Teras, L.R., Quintela, I., Birmann, B.M., Jayne, S., Cozen, W., Majid, A., Smedby, K.E., Lan, Q., Dearden, C., Brooks-Wilson, A.R., Hall, A.G., Purdue, M.P., Mainou-Fowler, T., Vajdic, C.M., Jackson, G.H., Cocco, P., Marr, H., Zhang, Y., Zheng, T., Giles, G.G., Lawrence, C., Call, T.G., Liebow, M., Melbye, M., Glimelius, B., Mansouri, L., Glenn, M., Curtin, K., Diver, W.R., Link, B.K., Conde, L., Bracci, P.M., Holly, E.A., Jackson, R.D., Tinker, L.F., Benavente, Y., Boffetta, P., Brennan, P., Maynadie, M., McKay, J., Albanes, D., Weinstein, S., Wang, Z., Caporaso, N.E., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Vermeulen, R.C.H., Southey, M.C., Milne, R.L., Clavel, J., Topka, S., Spinelli, J.J., Kraft, P., Ennas, M.G., Summerfield, G., Ferri, G.M., Harris, R.J., Miligi, L., Pettitt, A.R., North, K.E., Allsup, D.J., Fraumeni, J.F., Jr., Bailey, J.R., Offit, K., Pratt, G., Hjalgrim, H., Pepper, C., Chanock, S.J., Fegan, C., Rosenquist, R., De Sanjose, S., Carracedo, A., Dyer, M.J.S., Catovsky, D., Campo, E., Cerhan, J.R., Allan, J.M., Rothman, N., Houlston, R., and Slager, S.

Subjects
Lymphocytic leukaemia
Abstract

Several chronic 14175 lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10-13), 1q42.13 (rs41271473, P=1.06 × 10-10), 4q24 (rs71597109, P=1.37 × 10 -10), 4q35.1 (rs57214277, P=3.69 × 10-8), 6p21.31 (rs3800461, P=1.97 × 10-8), 11q23.2 (rs61904987, P=2.64 × 10-11), 18q21.1 (rs1036935, P=3.27 × 10-8), 19p13.3 (rs7254272, P=4.67 × 10-8) and 22q13.33 (rs140522, P=2.70 × 10-9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

Published
2017

44. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

Author

Henrik Hjalgrim, Joseph Vijai, Bengt Glimelius, Kimberly A. Bertrand, Immaculata De Vivo, Eve Roman, Martha Glenn, Nathaniel Rothman, Yolanda Benavente, Zhaoming Wang, Ju-Hyun Park, Anneclaire J. De Roos, John J. Spinelli, Demetrius Albanes, Paul Brennan, Emanuele Angelucci, Mariagrazia Zucca, Qing Lan, Kari E. North, Paige M. Bracci, Mark P. Purdue, Marco Rais, Melissa C. Southey, Alain Monnereau, Ahmet Dogan, Graham G. Giles, Robert J. Klein, Peter Kraft, Lesley F. Tinker, Laurie Burdett, Lucia Conde, Carrie A. Thompson, James McKay, Martyn T. Smith, Göran Roos, Yan W. Asmann, Dennis D. Weisenburger, Elizabeth A. Holly, Thomas E. Witzig, Liming Liang, Paul I.W. de Bakker, Alex Smith, Jarmo Virtamo, Charles E. Lawrence, Patricia Hartge, Karen Curtin, Anthony Staines, Nikolaus Becker, Nicola J. Camp, Charles C. Chung, Degui Zhi, Brenda M. Birmann, W. Ryan Diver, Roel Vermeulen, Sonja I. Berndt, Tongzhang Zheng, Silvia de Sanjosé, Eleanor Kane, James R. Cerhan, Christopher R. Flowers, Joseph F. Fraumeni, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Kenneth Offit, Jinyan Huang, Mads Melbye, Edward Giovannucci, Baoshan Ma, Tracy Lightfoot, Brian K. Link, Richard K. Severson, Theodore R. Holford, Yawei Zhang, Anne Tjønneland, Meredith Yeager, Wendy Cozen, Anne J. Novak, Lauren R. Teras, Claire M. Vajdic, Lisa A. Cannon-Albright, Lenka Foretova, Christine F. Skibola, Sophia S. Wang, Hans-Olov Adami, Andrew D. Zelenetz, Jenny Turner, Paolo Vineis, Corinne Haioun, Hervé Tilly, Anne Zeleniuch-Jacquotte, Thomas M. Habermann, Paolo Boffetta, Jacqueline Clavel, Herve Ghesquieres, Stephanie J. Weinstein, Lindsay M. Morton, Susan L. Slager, Simon Crouch, Gilles Salles, Rachel S. Kelly, Karin E. Smedby, Amy Hutchinson, David G. Cox, Elio Riboli, Jacques Riby, Rebecca D. Jackson, Mark Liebow, Thierry Jo Molina, Danylo J. Villano, Marc Maynadie, Yuanqing Ye, Heiner Boeing, Jian Gu, Brian C.-H. Chiu, Simonetta Di Lollo, Mitchell J. Machiela, Alexandra Nieters, Xifeng Wu, Rudolph Kaaks, Machiela, M.J., Lan, Q., Slager, S.L., Vermeulen, R.C.H., Teras, L.R., Camp, N.J., Cerhan, J.R., Spinelli, J.J., Wang, S.S., Nieters, A., Vijai, J., Yeager, M., Wang, Z., Ghesquières, H., McKay, J., Conde, L., de Bakker, P.I.W., Cox, D.G., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Giles, G.G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Purdue, M.P., Vajdic, C.M., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Roos, G., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Ryan Diver, W., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Boeing, H., Tjønneland, A., Angelucci, E., Di Lollo, S., Rais, M., De Vivo, I., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Fraumeni, J.F., Jr and Salles, G., Glenn, M., Cannon-Albright, L., Curtin, K., Wu, X., Smedby, K.E., de Sanjose, S., Skibola, C.F., Berndt, S.I., Birmann, B.M., Chanock, S.J., Rothman, N., LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Service d’Hématologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] ( CHLS ), Hospices Civils de Lyon ( HCL ) -Hospices Civils de Lyon ( HCL ), Centre de Recherche en Cancérologie de Lyon ( CRCL ), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Cancer environnement ( EPICENE ), Bordeaux population health ( BPH ), Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Registre des hémopathies malignes de la Gironde, Institut Bergonié - CRLCC Bordeaux, Department of Agronomy, University of Wisconsin-Madison [Madison], Service hématologie Poitiers, CHU, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Université Paris Descartes - Paris 5 ( UPD5 ), Oslo and Akershus University College ( OAUC ), Laboratoire de mécanique Biomécanique Polymère Structures ( LaBPS ), Université de Lorraine ( UL ), The Tisch Cancer Institute, Mount Sinai School of Medicine, International Agency for Cancer Research ( IACR ), International Agency for Cancer Research, Registre des hémopathies malignes de Côte d'Or, Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), University of Chicago Medicine, Institut National de la Santé et de la Recherche Médicale ( INSERM ), French National Registry of Childhood Hematological malignancies (NRCH), NRCH, Division of Epidemiology, Public Health and Primary Care, Imperial College London, Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Department of Epidemiology and Public Health, Department Cancer Epidemiology, German Cancer Research Center, Institute of Human Nutrition Potsdam-Rehbruecke, Diet, Cancer and Health, Danish Cancer Society, Justus Liebig University Giessen, Sino French Research Center for Biomedical Imaging ( HIT-INSA ), Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Harbin Institute of Technology ( HIT ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Chinese Academy of Sciences [Beijing] ( CAS ), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cancer environnement (EPICENE ), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Bergonié [Bordeaux], UNICANCER-UNICANCER, University of Wisconsin-Madison, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université Paris Descartes - Paris 5 (UPD5), Akershus University College, Laboratoire de mécanique Biomécanique Polymère Structures (LaBPS), Université de Lorraine (UL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), International Agency for Cancer Research (IACR), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), Institut National de la Santé et de la Recherche Médicale (INSERM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Justus-Liebig-Universität Gießen (JLU), Sino French Research Center for Biomedical Imaging (HIT-INSA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Harbin Institute of Technology (HIT), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Chinese Academy of Sciences [Beijing] (CAS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino = University of Turin (UNITO), Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Harbin Institute of Technology (HIT), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (CRCL), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Oslo and Akershus University College (OAUC), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL)

Subjects
0301 basic medicine, Serum, Male, Lymphoma, analysis, Chronic lymphocytic leukemia, Follicular lymphoma, Global Health, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, immunology, surgery, 0302 clinical medicine, Endocrinology, immune system diseases, single nucleotide polymorphism, Germany, hemic and lymphatic diseases, London, 80 and over, Odds Ratio, genetics, Prospective Studies, B-cell lymphoma, Association Studies Article, Genetics (clinical), Aged, 80 and over, education.field_of_study, telomere, Genome, Leukemia, Age Factors, General Medicine, Environmental exposure, Genomics, Middle Aged, b-cell lymphoma, small cell lymphoma, Italy, 030220 oncology & carcinogenesis, Medicine, epidemiology, Female, France, Risk of B-cell lymphoma subtypes, Risk, Adult, Canada, China, Lymphoma, B-Cell, Genotype, Adolescent, leukocytes, etiology, Population, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Environment, Risk Assessment, methods, Time, 03 medical and health sciences, medicine, Humans, Family, Genetic Predisposition to Disease, education, Molecular Biology, Alleles, Occupational Health, Genetic Association Studies, Aged, B-Cell, International Agencies, Odds ratio, Environmental Exposure, medicine.disease, Telomere, Non-Hodgkin's lymphoma, 030104 developmental biology, Immunology, physiology, Chronic Disease, pathology, Laboratories, metabolism
Abstract

International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 x 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 x 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk

Published
2016

45. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author

Nathaniel Rothman, Yolanda Benavente, Paul Brennan, Qing Lan, Pierluigi Cocco, Simon Crouch, Anneclaire J. De Roos, Josh Wright, Christine F. Skibola, Mark P. Purdue, Elisabete Weiderpass, James R. Cerhan, Randy D. Gascoyne, Maria Grazia Ennas, Kari E. North, Zhaoming Wang, Jinyan Huang, Julie M. Cunningham, Alain Monnereau, Peter Kraft, Patricia Hartge, Edward Giovannucci, Karen Curtin, Giovanna Masala, Jacqueline Clavel, Neil E. Kay, Jacques Riby, María Dolores Chirlaque, John J. Spinelli, Delphine Casabonne, Jenny Turner, Lucia Conde, Lesley F. Tinker, Martha Glenn, Sara S. Strom, Donna K. Arnett, Rebecca Montalvan, Ju-Hyun Park, Melissa C. Southey, Ann Maria, Karin E. Smedby, Lindsay M. Morton, Marc Maynadié, Laurie Burdett, Amy Hutchinson, Bengt Glimelius, W. Ryan Diver, Elio Riboli, Sonja I. Berndt, Lisa A. Cannon-Albright, Kimberly A. Bertrand, Aaron D. Norman, Sara J. Achenbach, Celine M. Vachon, Angela Cox, Xifeng Wu, Theodore R. Holford, Neil E. Caporaso, Joseph F. Fraumeni, Roel Vermeulen, Rudolph Kaaks, Mads Melbye, Joseph Vijai, Kari G. Chaffee, Lauren R. Teras, Rebecca D. Jackson, Lenka Foretova, J. Brice Weinberg, Paige M. Bracci, Sophia S. Wang, Demetrius Albanes, Stephen J. Chanock, Wendy Cozen, Mark Liebow, Anne J. Novak, Hans-Olov Adami, George J. Weiner, Angela Brooks-Wilson, Kenneth Offit, Anne Kricker, Claire M. Vajdic, James McKay, Ellen T. Chang, Baoshan Ma, Cristine Allmer, Susan L. Slager, Brian K. Link, Elizabeth A. Holly, Anthony Staines, Liming Liang, Jarmo Virtamo, Timothy G. Call, Nicola J. Camp, Ruth C. Travis, Alexandra Nieters, Degui Zhi, Brenda M. Birmann, Tait D. Shanafelt, Rachel S. Kelly, Graham G. Giles, Nilanjan Chatterjee, John A. Snowden, Yuanqing Ye, Núria Sala, Tongzhang Zheng, Paolo Boffetta, Lynn R. Goldin, Danylo J. Villano, Jose F. Leis, Paolo Vineis, Lucia Miligi, Jian Gu, Justin M. Leach, Silvia de Sanjosé, Richard K. Severson, Yawei Zhang, Henrik Hjalgrim, Roger L. Milne, Charles E. Lawrence, Meredith Yeager, Moara Machado, Nikolaus Becker, Joseph M. Connors, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Berndt, S.I., Camp, N.J., Skibola, C.F., Vijai, J., Wang, Z., Gu, J., Nieters, A., Kelly, R.S., Smedby, K.E., Monnereau, A., Cozen, W., Cox, A., Wang, S.S., Lan, Q., Teras, L.R., Machado, M., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Vajdic, C.M., Cocco, P., Zhang, Y., Giles, G.G., Zeleniuch-Jacquotte, A., Lawrence, C., Montalvan, R., Burdett, L., Hutchinson, A., Ye, Y., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Cunningham, J.M., Allmer, C., Hjalgrim, H., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Arnett, D.K., Zhi, D., Leach, J.M., Holly, E.A., Jackson, R.D., Tinker, L.F., Benavente, Y., Sala, N., Casabonne, D., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Chaffee, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Leis, J.F., Weinberg, J.B., Caporaso, N.E., Norman, A.D., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Southey, M.C., Milne, R.L., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Villano, D.J., Maria, A., Spinelli, J.J., Gascoyne, R.D., Connors, J.M., Bertrand, K.A., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Ma, B., Huang, J., Crouch, S., Park, J.-H., Chatterjee, N., North, K.E., Snowden, J.A., Wright, J., Fraumeni, J.F., Offit, K., Wu, X., De Sanjose, S., Cerhan, J.R., Chanock, S.J., Rothman, N., Slager, S.L., National Cancer Institute ( NIH ), Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), Registre des hémopathies malignes de Côte d'Or, Mayo Clinic [Rochester], National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), and UNICANCER-UNICANCER

Subjects
0301 basic medicine, Medicin och hälsovetenskap, Chronic lymphocytic leukemia, General Physics and Astronomy, Genome-wide association study, VARIANTS, Medical and Health Sciences, Malalties hereditàries, [ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/Hematology, Chronic, Genetics, RISK, Leukemia, Multidisciplinary, BANK1, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, Bcl-2-Like Protein 11, Adaptor Proteins, [SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/Hematology, Single Nucleotide, Lymphocytic, 3. Good health, PRIORITIZATION, Multidisciplinary Sciences, medicine.anatomical_structure, Science & Technology - Other Topics, TRANSCRIPTION FACTOR EOMESODERMIN, Genetic disorders, EXPRESSION, SUSCEPTIBILITY LOCI, Science, European Continental Ancestry Group, FAS GENE-MUTATIONS, Locus (genetics), Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, CLASSIFICATION, White People, Article, 03 medical and health sciences, Proto-Oncogene Proteins, MD Multidisciplinary, medicine, Genetic predisposition, SNP, Humans, Leucèmia limfocítica crònica, Genetic Predisposition to Disease, Polymorphism, B cell, Serpins, Genetic association, Adaptor Proteins, Signal Transducing, Science & Technology, Signal Transducing, B-Cell, Membrane Proteins, General Chemistry, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, 030104 developmental biology, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, Apoptosis Regulatory Proteins, T-Box Domain Proteins, FOLLICULAR LYMPHOMA, Genome-Wide Association Study
Abstract

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, 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.

Published
2016

46. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients

Author

Paige M. Bracci, Celine M. Vachon, Thomas Martin, Shaji Kumar, Daniel J. Serie, Alexandra J. Greenberg, Laura Fejerman, Djordje Atanackovic, Brandt Jones, Federico Canzian, Robert B. Diasio, Vincent Rajkumar, Jeffrey L. Wolf, Blake T. Aftab, Alessandro Martino, Susan L. Slager, Herlander Marques, Donglei Hu, Eric Dean, Marek Dudziński, Martha Glenn, Yi Zhao, Marzena Wątek, Nicola J. Camp, Elad Ziv, Karen Curtin, Adam M. Lee, Juan Sainz, Joaquin Martinez-Lopez, Artur Jurczyszyn, Lisa A. Cannon-Albright, Charles Dumontet, Scott Huntsman, Jennifer L. Caswell-Jin, Annette Juul Vangsted, Daniele Campa, Gabriele Buda, Krzysztof Jamroziak, [Ziv,E, Hu,D, Caswell.Jin,J,H, Fejerman,L, Huntsman,S] Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California USA. [Dean,E] Sutter Medical Center of Santa Rosa, Santa Rosa, California USA. [Martino,A, Campa,D, Canzian,F] Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Serie,D] Division of Biomedical Statistics and Informatics. Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida USA. [Curtin,K, Zhao,Y, Atanackovic,D, Glenn,M, Cannon-Albright,L, Jones,B, Camp,NJ] Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, USA. [Aftalb,B, Martin,T, Wolf,J]Division of Hematology, Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California USA. [Bracci,P] Department of Epidemiology and Biostatistics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California , USA. [Buda,G] Department of Oncology, Transplants and Advanced Technologies, Section of Hematology, Pisa University Hospital, Pisa, Italy. [Diasio,R, Lee,A] Department of Molecular Pharmacology and Experimental Therapeutics, College of Medicine, Mayo Clinic, Rochester, Minnesota USA. [Dumontet,C] INSERM UMR 1052/CNRS 5286, Laboratoire de Cytologie Analytique, Faculte´ de Me´decine Rockefeller, Universite´ Claude Bernard Lyon I, Lyon, France. [Dudzinski,M] Department of Hematology, Rzeszow Regional Hospital, Rzeszow 35-301, Poland. [Greenberg,A] Center for Translational Science Activities, Mayo Clinic, Rochester, Minnesota 55905, USA. [Greenberg,A, Vachon, C] Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA. [Jamroziak,K] Department of Hematology, Medical University of Lodz, Lodz, Poland. [Jurczyszyn,A] Department of Hematology, Cracow University Hospital, Cracow, Poland. [Kumar,S, Rajkumar,V] Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA. [Marques,H] Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga , Portugal. [Martinez-Lopez,J] Hematology Service, CRIS facility for Hematological research, Hospital Universitario 12 de Octubre, Universidad Complutense, Madrid, Spain. [Sainz,J] Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, Granada, Spain. Department of Hematology, Virgen de las Nieves University Hospital, Granada, Spain. [Vangsted,AJ] Department of Hematology, Righospitalet and Roskilde Hospital, Copenhagen University, Copenhagen, Denmark. [Watek,M] Department of Hematology, Holycross Cancer Center, Kielce, Poland. [Slager,S] Division of Biomedical Statistics and Informatics. Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota USA., and This work was supported by the Steve and Nancy Grand Multiple Myeloma Translational Initiative and a grant from Expression Analysis and a grant from the National Cancer Institute (R21CA191896). E.Z. is supported in part by a mid-career award in patient research from the National Cancer Institute (K24169004). Collection of blood samples from Polish patients and controls from Łodz area, and DNA extraction was supported by a grant from Polish Ministry of Science and Higher Education (No. NN402178334). DNA extraction from Danish healthy controls was supported by The Research Fund at Region Sjælland, Denmark. The Utah study was supported by LLS 6067–09, CA152336 and CA134674, with data collection made possible, in part, by the Utah Population Database (UPDB) and the Utah Cancer Registry (UCR). Partial support for all data sets within the UPDB is provided by the Huntsman Cancer Institute (HCI) and the HCI Cancer Center Support grant, P30 CA42014. The UCR is supported in part by NIH contract HHSN261201000026C from the NCI SEER Program with additional support from the Utah State Department of Health and the University of Utah.

Subjects
Oncology, medicine.medical_specialty, tumor, Ciências da Saúde [Ciências Médicas], General Physics and Astronomy, Genome-wide association study, Single-nucleotide polymorphism, Kaplan-Meier Estimate, Biology, Bioinformatics, Polymorphism, Single Nucleotide, survival, Article, General Biochemistry, Genetics and Molecular Biology, gene expression, genome, health risk, meta-analysis, polymorphism, social theory, Internal medicine, medicine, Humans, Allele, Gene, Multiple myeloma, Science & Technology, Multidisciplinary, General Chemistry, medicine.disease, Minor allele frequency, Meta-analysis, Cohort, Multiple Myeloma, Chromosomes, Human, Pair 16, Genome-Wide Association Study
Abstract

A corrigendum to this article was published on 09 December 2015: https://doi.org/10.1038/ncomms10203. The corrigendum is also available at: http://hdl.handle.net/1822/62281 This work was supported by the Steve and Nancy Grand Multiple Myeloma Translational Initiative and a grant from Expression Analysis and a grant from the National Cancer Institute (R21CA191896). E.Z. is supported in part by a mid-career award in patient research from the National Cancer Institute (K24169004). Collection of blood samples from Polish patients and controls from Łodz area, and DNA extraction was supported by a grant from Polish Ministry of Science and Higher Education (No. NN402178334).DNA extraction from Danish healthy controls was supported by The Research Fund at Region Sjælland, Denmark. The Utah study was supported by LLS 6067–09, CA152336and CA134674, with data collection made possible, in part, by the Utah Population Database (UPDB) and the Utah Cancer Registry (UCR). Partial support for all data sets within the UPDB is provided by the Huntsman Cancer Institute (HCI) and the HCICancer Center Support grant, P30 CA42014. The UCR is supported in part by NIH contract HHSN261201000026C from the NCI SEER Program with additional support from the Utah State Department of Health and the University of Utah. In Utah, we thank Jathine Wong for support in formatting files and advice on R programming. Several authors (E.Z., N.C., F.C., C.V.) are members of the International Multiple Myeloma Consortium. We are grateful to the leadership and other members of the International Multiple Myeloma Consortium for facilitating this collaborative study.

Published
2015

47. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Roel Vermeulen, Robert J. Klein, Lindsay M. Morton, Lauren R. Teras, John A. Snowden, Angela Brooks-Wilson, Sonja I. Berndt, Pierluigi Cocco, Wendy Cozen, Rebecca D. Jackson, Lenka Foretova, Henrik Hjalgrim, Bruce K. Armstrong, Neil E. Caporaso, Mark P. Purdue, Itziar Salaverria, Anne J. Novak, Elizabeth A. Holly, Anneclaire J. De Roos, Kenneth Offit, Liming Liang, Paolo Vineis, Stephen J. Chanock, Anne Kricker, Sophia S. Wang, Vicki A. Morrison, George J. Weiner, Lesley F. Tinker, Nilanjan Chatterjee, Hans-Olov Adami, Ellen T. Chang, Mark Liebow, Mark C. Lanasa, Lisa A. Cannon-Albright, Andrew D. Zelenetz, Claire M. Vajdic, Sara J. Achenbach, James McKay, Gianluca Severi, Kari E. North, Edward Giovannucci, Rudolf Kaaks, Angela Cox, Karin E. Smedby, Susan L. Slager, Aaron D. Norman, Brian K. Link, Charles E. Lawrence, Amy Hutchinson, Jarmo Virtamo, Kari G. Rabe, Theodore R. Holford, Joshua N. Sampson, Lucia Conde, Timothy G. Call, Alice H. Wang, Julie M. Cunningham, Demetrius Albanes, Nikolaus Becker, Elio Riboli, Alain Monnereau, Francine Laden, Celine M. Vachon, Charles C. Chung, Ruth C. Travis, Brandt Jones, Brenda M. Birmann, Nathaniel Rothman, Yolanda Benavente, Kevin B. Jacobs, Tait D. Shanafelt, Rachel S. Kelly, Anthony Staines, Marc Maynadié, Lucia Miligi, Paul Brennan, Silvia de Sanjosé, Karen Curtin, Tongzhang Zheng, Sílvia Beà, Bengt Glimelius, Elias Campo, W. Ryan Diver, Jeffrey Yuenger, Qing Lan, Peter Kraft, Kimberly A. Bertrand, Laurie Burdette, Martha Glenn, Jenny Turner, J. Brice Weinberg, Ju-Hyun Park, Paolo Boffetta, Jacqueline Clavel, Joseph F. Fraumeni, Martyn T. Smith, Logan G. Spector, Lynn R. Goldin, Mads Melbye, Paige M. Bracci, David Martín-García, Sara S. Strom, Christine F. Skibola, Vijai Joseph, Nicola J. Camp, Dimitrios Trichopoulos, Richard K. Severson, Elisabete Weiderpass, James R. Cerhan, Maria Grazia Ennas, Carlos López-Otín, Yawei Zhang, Jose F. Leis, Angel Carracedo, Graham G. Giles, Patricia Hartge, María Dolores Chirlaque, Zhaoming Wang, Martha S. Linet, John J. Spinelli, Alexandra Nieters, Anne Zeleniuch-Jacquotte, Giovanni Maria Ferri, Stephanie J. Weinstein, Meredith Yeager, Giovanna Masala, Neil E. Kay, Jacques Riby, Simon Crouch, Josh Wright, Berndt, S.I., Skibola, C.F., Joseph, V., Camp, N.J., Nieters, A., Wang, Z., Cozen, W., Monnereau, A., Wang, S.S., Kelly, R.S., Lan, Q., Teras, L.R., Chatterjee, N., Chung, C.C., Yeager, M., Brooks-Wilson, A.R., Hartge, P., Purdue, M.P., Birmann, B.M., Armstrong, B.K., Cocco, P., Zhang, Y., Severi, G., Zeleniuch-Jacquotte, A., Lawrence, C., Burdette, L., Yuenger, J., Hutchinson, A., Jacobs, K.B., Call, T.G., Shanafelt, T.D., Novak, A.J., Kay, N.E., Liebow, M., Wang, A.H., Smedby, K.E., Adami, H.-O., Melbye, M., Glimelius, B., Chang, E.T., Glenn, M., Curtin, K., Cannon-Albright, L.A., Jones, B., Diver, W.R., Link, B.K., Weiner, G.J., Conde, L., Bracci, P.M., Riby, J., Holly, E.A., Smith, M.T., Jackson, R.D., Tinker, L.F., Benavente, Y., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., McKay, J., Staines, A., Rabe, K.G., Achenbach, S.J., Vachon, C.M., Goldin, L.R., Strom, S.S., Lanasa, M.C., Spector, L.G., Leis, J.F., Cunningham, J.M., Weinberg, J.B., Morrison, V.A., Caporaso, N.E., Norman, A.D., Linet, M.S., De Roos, A.J., Morton, L.M., Severson, R.K., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Masala, G., Weiderpass, E., Chirlaque, M.-D., Vermeulen, R.C.H., Travis, R.C., Giles, G.G., Albanes, D., Virtamo, J., Weinstein, S., Clavel, J., Zheng, T., Holford, T.R., Offit, K., Zelenetz, A., Klein, R.J., Spinelli, J.J., Bertrand, K.A., Laden, F., Giovannucci, E., Kraft, P., Kricker, A., Turner, J., Vajdic, C.M., Ennas, M.G., Ferri, G.M., Miligi, L., Liang, L., Sampson, J., Crouch, S., Park, J.-H., North, K.E., Cox, A., Snowden, J.A., Wright, J., Carracedo, A., Lopez-Otin, C., Bea, S., Salaverria, I., Martin-Garcia, D., Campo, E., Fraumeni Jr., J.F., De Sanjose, S., Hjalgrim, H., Cerhan, J.R., Chanock, S.J., Rothman, N., and Slager, S.L.

Subjects
Risk, Linkage disequilibrium, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, Genetics, medicine, Humans, Genetic Predisposition to Disease, Leucèmia limfocítica crònica, Genome-wide association studies (GWAS), B-cell lymphoma, chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL), Genetic association, Recombination, Genetic, Genomics, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, Genòmica, Leukemia, Genetic Loci, Case-Control Studies, Chromosomes, Human, Pair 2, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P = 1.22 × 10-14), 18q21.33 (BCL2, P = 7.76 × 10-11), 11p15.5 (C11orf21, P = 2.15 × 10 -10), 4q25 (LEF1, P = 4.24 × 10-10), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P = 2.50 × 10-9), 9p21.3 (CDKN2B-AS1, P = 1.27 × 10-8), 18q21.32 (PMAIP1, P = 2.51 × 10 -8), 15q15.1 (BMF, P = 2.71 × 10-10) and 2p22.2 (QPCT, P = 1.68 × 10-8), as well as an independent signal at an established locus (2q13, ACOXL, P = 2.08 × 10-18). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P = 5.40 × 10-8) and 5p15.33 (TERT, P = 1.92 × 10-7). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism. © 2013 Nature America, Inc. All rights reserved.

Published
2013

48. Identifiable historic and observable factors may predict progression to exfoliation glaucoma in newly-diagnosed exfoliation patients.

Author

Curtin K, Stein JD, Stagg BC, Fino N, Conley M, Johnson T, Patil A, Paulson C, Pompoco C, and Wirostko BM

Abstract

Objective: To identify clinical factors associated with conversion to exfoliation glaucoma (XFG) in exfoliation syndrome (XFS) patients most at risk of progression to XFG within 3 years for increased surveillance and early preventive interventions., Design: A retrospective patient cohort study design was employed., Subjects: A source population of XFS patients 50 years and older was identified from electronic medical records in the Utah Population Database. From this, 487 study patients with one or more dilated eye exams prior to chart-confirmed XFS onset in 2011 or later, and three or more years of subsequent eye exams, were selected for study., Methods: We implemented a binomial linear mixed models with L1-penalized estimation to select variables associated with conversion. Models included a random intercept to account for within-patient correlation for eye-level data. Candidate demographic, lifestyle, systemic and ocular comorbidities data were obtained and diagnoses categorized as binary (history or no history). These potential factors between conversion and non-conversion patients were used in model selection of variables jointly predictive of conversion. Odds ratios and confidence intervals were calculated using the link logit., Main Outcome Measures: To determine the main outcome of conversion to XFG following an index diagnosis of XFS compared with nonconversion within 3 years, clinical records of each subject's left and right eyes were assessed to confirm XFS and date of onset and date of XFG onset, if conversion occurred. Clinical measurements, e.g. intraocular pressure (IOP), cup to disc ratio, provider notes and IOP-lowering procedures and medications were used to corroborate conversion status., Results: Eighteen variables jointly predicted XFG conversion within 3 years correctly in 71% of patient eyes. Odds of conversion was highest for exudative age-related macular degeneration (AMD), 2.3-fold (P=0.004). Other predictive variables included nonexudative AMD (P=0.05), primary open angle glaucoma (P<0.001), obstructive sleep apnea (P=0.03), and ocular hypertension (P=0.003) diagnosed prior to XFS onset., Conclusions: We determined a set of clinically relevant factors that predicted which newly-diagnosed XFS patients progressed to XFG within 3 years. A planned validation will independently confirm if these prognostic indicators hold promise in other settings., (Copyright © 2024. Published by Elsevier Inc.)

Published
2024
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49. Nucleic Acid Target Sensing Using a Vibrating Sharp-Tip Capillary and Digital Droplet Loop-Mediated Isothermal Amplification (ddLAMP).

Author

Fike BJ, Curtin K, and Li P

Subjects
Biosensing Techniques methods, Biosensing Techniques instrumentation, Vibration, Point-of-Care Systems, Humans, Nucleic Acids analysis, DNA analysis, DNA genetics, DNA chemistry, Nucleic Acid Amplification Techniques methods, Nucleic Acid Amplification Techniques instrumentation
Abstract

Nucleic acid tests are key tools for the detection and diagnosis of many diseases. In many cases, the amplification of the nucleic acids is required to reach a detectable level. To make nucleic acid amplification tests more accessible to a point-of-care (POC) setting, isothermal amplification can be performed with a simple heating source. Although these tests are being performed in bulk reactions, the quantification is not as accurate as it would be with digital amplification. Here, we introduce the use of the vibrating sharp-tip capillary for a simple and portable system for tunable on-demand droplet generation. Because of the large range of droplet sizes possible and the tunability of the vibrating sharp-tip capillary, a high dynamic range (~2 to 6000 copies/µL) digital droplet loop-mediated isothermal amplification (ddLAMP) system has been developed. It was also noted that by changing the type of capillary on the vibrating sharp-tip capillary, the same mechanism can be used for simple and portable DNA fragmentation. With the incorporation of these elements, the present work paves the way for achieving digital nucleic acid tests in a POC setting with limited resources.

Published
2024
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