131 results on '"Skibola CF"'
Search Results
2. Chemoproteomics-enabled covalent ligand screen reveals a cysteine hotspot in reticulon 4 that impairs ER morphology and cancer pathogenicity
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Bateman, LA, Nguyen, TB, Roberts, AM, Miyamoto, DK, Ku, W-M, Huffman, TR, Petri, Y, Heslin, MJ, Contreras, CM, Skibola, CF, Olzmann, JA, and Nomura, DK
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Medicinal and Biomolecular Chemistry ,Chemical Sciences ,Cancer ,Biotechnology ,Prevention ,Colo-Rectal Cancer ,Digestive Diseases ,5.1 Pharmaceuticals ,2.1 Biological and endogenous factors ,Development of treatments and therapeutic interventions ,Aetiology ,Acrylamide ,Antineoplastic Agents ,Colorectal Neoplasms ,Cysteine ,Endoplasmic Reticulum ,Humans ,Ligands ,Nogo Proteins ,Nuclear Envelope ,Proteomics ,Organic Chemistry ,Chemical sciences ,Engineering - Abstract
Chemical genetics has arisen as a powerful approach for identifying novel anti-cancer agents. However, a major bottleneck of this approach is identifying the targets of lead compounds that arise from screens. Here, we coupled the synthesis and screening of fragment-based cysteine-reactive covalent ligands with activity-based protein profiling (ABPP) chemoproteomic approaches to identify compounds that impair colorectal cancer pathogenicity and map the druggable hotspots targeted by these hits. Through this coupled approach, we discovered a cysteine-reactive acrylamide DKM 3-30 that significantly impaired colorectal cancer cell pathogenicity through targeting C1101 on reticulon 4 (RTN4). While little is known about the role of RTN4 in colorectal cancer, this protein has been established as a critical mediator of endoplasmic reticulum tubular network formation. We show here that covalent modification of C1101 on RTN4 by DKM 3-30 or genetic knockdown of RTN4 impairs endoplasmic reticulum and nuclear envelope morphology as well as colorectal cancer pathogenicity. We thus put forth RTN4 as a potential novel colorectal cancer therapeutic target and reveal a unique druggable hotspot within RTN4 that can be targeted by covalent ligands to impair colorectal cancer pathogenicity. Our results underscore the utility of coupling the screening of fragment-based covalent ligands with isoTOP-ABPP platforms for mining the proteome for novel druggable nodes that can be targeted for cancer therapy.
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- 2017
3. Follicular lymphoma-protective HLA class II variants correlate with increased HLA-DQB1 protein expression
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Sillé, FCM, Conde, L, Zhang, J, Akers, NK, Sanchez, S, Maltbaek, J, Riby, JE, Smith, MT, and Skibola, CF
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Cancer ,Rare Diseases ,Human Genome ,Lymphoma ,Genetics ,Biotechnology ,Hematology ,2.1 Biological and endogenous factors ,Aetiology ,Inflammatory and immune system ,Cells ,Cultured ,Dendritic Cells ,Gene Frequency ,Genetic Predisposition to Disease ,HLA-DQ beta-Chains ,Haplotypes ,Humans ,Linkage Disequilibrium ,Lipopolysaccharides ,Lymphocyte Activation ,Lymphoma ,Follicular ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,follicular lymphoma ,human leukocyte antigen ,gene expression ,protein expression ,Immunology - Abstract
Multiple follicular lymphoma (FL) susceptibility single-nucleotide polymorphisms in the human leukocyte antigen (HLA) class I and II regions have been identified, including rs6457327, rs3117222, rs2647012, rs10484561, rs9268853 and rs2621416. Here we validated previous expression quantitative trait loci results with real-time reverse transcription quantitative PCR and investigated protein expression in B-lymphoblastoid cell lines and primary dendritic cells using flow cytometry, cell-based enzyme-linked immunosorbent assay and western blotting. We confirmed that FL-protective rs2647012-linked variants, in high linkage disequilibrium with the extended haplotype DRB1*15:01-DQA1*01:02-DQB1*06:02, correlate with increased HLA-DQB1 expression. This association remained significant at the protein level and was reproducible across different cell types. We also found that differences in HLA-DQB1 expression were not related to changes in activation markers or class II, major histocompatibility complex, transactivator expression, suggesting the role of an alternative regulatory mechanism. However, functional analysis using RegulomeDB did not reveal any relevant regulatory candidates. Future studies should focus on the clinical relevance of increased HLA-DQB1 protein expression facilitating tumor cell removal through increased immune surveillance.
- Published
- 2014
4. Non-Hodgkin's lymphoma, obesity and energy homeostasis polymorphisms
- Author
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Willett, EV, Skibola, CF, Adamson, P, Skibola, DR, Morgan, GJ, Smith, MT, and Roman, E
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Oncology and Carcinogenesis ,Rare Diseases ,Prevention ,Lymphoma ,Cancer ,Hematology ,Nutrition ,Genetics ,Obesity ,Genetic Testing ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Adolescent ,Adult ,Base Sequence ,Case-Control Studies ,DNA Primers ,Energy Metabolism ,Homeostasis ,Humans ,Leptin ,Lymphoma ,Non-Hodgkin ,Middle Aged ,Polymorphism ,Genetic ,Receptors ,Cell Surface ,Receptors ,Leptin ,non-Hodgkin's lymphoma ,body mass index ,SNP ,leptin ,adiponectin ,epidemiology ,Public Health and Health Services ,Oncology & Carcinogenesis ,Oncology and carcinogenesis - Abstract
A population-based case-control study of lymphomas in England collected height and weight details from 699 non-Hodgkin's lymphoma (NHL) cases and 914 controls. Obesity, defined as a body mass index (BMI) over 30 kg m(-2) at five years before diagnosis,, was associated with an increased risk of NHL (OR = 1.5, 95% CI 1.1-2.1). The excess was most pronounced for diffuse large B-cell lymphoma (OR = 1.9, 95% CI 1.3-2.8). Genetic variants in the leptin (LEP 19G > A, LEP -2548G > A) and leptin receptor genes (LEPR 223Q > R), previously shown to modulate NHL risk, as well as a polymorphism in the energy regulatory gene adiponectin (APM1 276G>T), were investigated. Findings varied with leptin genotype, the risks being decreased with LEP 19AA (OR = 0.7, 95% CI 0.5-1.0) and increased with LEP -2548GA (OR = 1.3, 95% CI 1.0-1.7) and -2548AA (OR = 1.4, 95% CI 1.0-1.9), particularly for follicular lymphoma. These genetic findings, which were independent of BMI, were stronger for men than women.
- Published
- 2005
5. Genetically Determined Height and Risk of Non-hodgkin Lymphoma
- Author
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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
6. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes
- Author
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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
7. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukemia
- Author
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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
8. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia
- Author
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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
9. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma
- Author
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Bernatsky, S, Garcia, HAV, Spinelli, JJ, Gaffney, P, Smedby, KE, Ramsey-Goldman, R, Wang, SS, Adami, H-O, Albanes, D, Angelucci, E, Ansell, SM, Asmann, YW, Becker, N, Benavente, Y, Berndt, SI, Bertrand, KA, Birmann, BM, Boeing, H, Boffetta, P, Bracci, PM, Brennan, P, Brooks-Wilson, AR, Cerhan, JR, Chanock, SJ, Clavel, J, Conde, L, Cotenbader, KH, Cox, DG, Cozen, W, Crouch, S, De Roos, AJ, de Sanjose, S, Di Lollo, S, Diver, WR, Dogan, A, Foretova, L, Ghesquieres, H, Giles, GG, Glimelius, B, Habermann, TM, Haioun, C, Hartge, P, Hjalgrim, H, Holford, TR, Holly, EA, Jackson, RD, Kaaks, R, Kane, E, Kelly, RS, Klein, RJ, Kraft, P, Kricker, A, Lan, Q, Lawrence, C, Liebow, M, Lightfoot, T, Link, BK, Maynadie, M, Mckay, J, Melbye, M, Molina, TJ, Monnereau, A, Morton, LM, Nieters, A, North, KE, Novak, AJ, Offit, K, Purdue, MP, Rais, M, Riby, J, Roman, E, Rothman, N, Salles, G, Severi, G, Severson, RK, Skibola, CF, Slager, SL, Smith, A, Smith, MT, Southey, MC, Staines, A, Teras, LR, Thompson, CA, Tilly, H, Tinker, LF, Tjonneland, A, Turner, J, Vajdic, CM, Vermeulen, RCH, Vijai, J, Vineis, P, Virtamo, J, Wang, Z, Weinstein, S, Witzig, TE, Zelenetz, A, Zeleniuch-Jacquotte, A, Zhang, Y, Zheng, T, Zucca, M, Clarke, AE, Bernatsky, S, Garcia, HAV, Spinelli, JJ, Gaffney, P, Smedby, KE, Ramsey-Goldman, R, Wang, SS, Adami, H-O, Albanes, D, Angelucci, E, Ansell, SM, Asmann, YW, Becker, N, Benavente, Y, Berndt, SI, Bertrand, KA, Birmann, BM, Boeing, H, Boffetta, P, Bracci, PM, Brennan, P, Brooks-Wilson, AR, Cerhan, JR, Chanock, SJ, Clavel, J, Conde, L, Cotenbader, KH, Cox, DG, Cozen, W, Crouch, S, De Roos, AJ, de Sanjose, S, Di Lollo, S, Diver, WR, Dogan, A, Foretova, L, Ghesquieres, H, Giles, GG, Glimelius, B, Habermann, TM, Haioun, C, Hartge, P, Hjalgrim, H, Holford, TR, Holly, EA, Jackson, RD, Kaaks, R, Kane, E, Kelly, RS, Klein, RJ, Kraft, P, Kricker, A, Lan, Q, Lawrence, C, Liebow, M, Lightfoot, T, Link, BK, Maynadie, M, Mckay, J, Melbye, M, Molina, TJ, Monnereau, A, Morton, LM, Nieters, A, North, KE, Novak, AJ, Offit, K, Purdue, MP, Rais, M, Riby, J, Roman, E, Rothman, N, Salles, G, Severi, G, Severson, RK, Skibola, CF, Slager, SL, Smith, A, Smith, MT, Southey, MC, Staines, A, Teras, LR, Thompson, CA, Tilly, H, Tinker, LF, Tjonneland, A, Turner, J, Vajdic, CM, Vermeulen, RCH, Vijai, J, Vineis, P, Virtamo, J, Wang, Z, Weinstein, S, Witzig, TE, Zelenetz, A, Zeleniuch-Jacquotte, A, Zhang, Y, Zheng, T, Zucca, M, and Clarke, AE
- Abstract
OBJECTIVE: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. METHODS: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. RESULTS: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. CONCLUSIONS: These data suggest several plausible genetic links between DLBCL and SLE.
- Published
- 2017
10. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases A Mendelian Randomization Study
- Author
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Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, Smith, GD, Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, T, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, SY, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, C, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, DH, Petersen, GM, Risch, HA, Klein, AP, Han, JL, Abnet, CC, Freedman, N D, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, Walsh, KM, Wrensch, M, Rice, T, Turnbull, C, Litchfield, K, Paternoster, L, Standl, M, Abecasis, GR, SanGiovanni, JP, Li, Y, Mijatovic, V, Sapkota, Y, Low, SK, Zondervan, KT, Montgomery, GW, Nyholt, DR, van Heel, D A, Hunt, K, Arking, DE, Ashar, FN, Sotoodehnia, N, Woo, D, Rosand, J, Comeau, ME, Brown, W M, Silverman, EK, Hokanson, JE, Cho, MH, Hui, J, Ferreira, MA, Thompson, PJ, Morrison, AC, Felix, Janine, Smith, NL, Christiano, AM, Petukhova, L, Betz, RC, Fan, X, Zhang, XJ, Zhu, CH, Langefeld, CD, Thompson, SD, Wang, FJ, Lin, X, Schwartz, DA, Fingerlin, T, Rotter, JI, Cotch, MF, Jensen, RA, Munz, M, Dommisch, H, Schaefer, AS, Han, F, Ollila, HM, Hillary, RP, Albagha, O, Ralston, SH, Zeng, CJ, Zheng, W, Shu, XO, Reis, A, Uebe, S, Huffmeier, U, Kawamura, Y, Otowa, T, Sasaki, T, Hibberd, ML, Davila, S, Xie, G, Siminovitch, K, Bei, JX, Zeng, YX, Forsti, A, Chen, B (Bowang), Landi, S, Franke, A, Fischer, A, Ellinghaus, D, Flores, C, Noth, I, Ma, SF, Foo, JN, Liu, JJ, Kim, JW, Cox, DG, Delattre, O, Mirabeau, O, Skibola, CF, Tang, CS, Garcia-Barcelo, M, Chang, KP, Su, WH, Chang, YS, Martin, NG, Gordon, S, Wade, TD, Lee, C, Kubo, M, Cha, PC, Nakamura, Y, Levy, D, Kimura, M, Hwang, SJ, Hunt, S, Spector, T, Soranzo, N, Manichaikul, A, Barr, G, Kahali, B, Speliotes, E, Yerges-Armstrong, L, Cheng, CY (Ching-Yu), Jonas, JB, Wong, TY, Fogh, I, Lin, K, Powell, JF, Rice, K, Relton, CL, Martin, RM, and Smith, GD
- Published
- 2017
11. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia
- Author
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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
12. A genome-wide association study of marginal zone lymphoma shows association to the HLA region
- Author
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Vijai, J, Wang, Z, Berndt, SI, Skibola, CF, Slager, SL, de Sanjose, S, Melbye, M, Glimelius, B, Bracci, PM, Conde, L, Birmann, BM, Wang, SS, Brooks-Wilson, AR, Lan, Q, de Bakker, PIW, Vermeulen, RCH, Portlock, C, Ansell, SM, Link, BK, Riby, J, North, KE, Gu, J, Hjalgrim, H, Cozen, W, Becker, N, Teras, LR, Spinelli, JJ, Turner, J, Zhang, Y, Purdue, MP, Giles, GG, Kelly, RS, Zeleniuch-Jacquotte, A, Ennas, MG, Monnereau, A, Bertrand, KA, Albanes, D, Lightfoot, T, Yeager, M, Chung, CC, Burdett, L, Hutchinson, A, Lawrence, C, Montalvan, R, Liang, L, Huang, J, Ma, B, Villano, DJ, Maria, A, Corines, M, Thomas, T, Novak, AJ, Dogan, A, Liebow, M, Thompson, CA, Witzig, TE, Habermann, TM, Weiner, GJ, Smith, MT, Holly, EA, Jackson, RD, Tinker, LF, Ye, Y, Adami, H-O, Smedby, KE, De Roos, AJ, Hartge, P, Morton, LM, Severson, RK, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Mckay, J, Staines, A, Diver, WR, Vajdic, CM, Armstrong, BK, Kricker, A, Zheng, T, Holford, TR, Severi, G, Vineis, P, Ferri, GM, Ricco, R, Miligi, L, Clavel, J, Giovannucci, E, Kraft, P, Virtamo, J, Smith, A, Kane, E, Roman, E, Chiu, BCH, Fraumeni, JF, Wu, X, Cerhan, JR, Offit, K, Chanock, SJ, Rothman, N, Nieters, A, Vijai, J, Wang, Z, Berndt, SI, Skibola, CF, Slager, SL, de Sanjose, S, Melbye, M, Glimelius, B, Bracci, PM, Conde, L, Birmann, BM, Wang, SS, Brooks-Wilson, AR, Lan, Q, de Bakker, PIW, Vermeulen, RCH, Portlock, C, Ansell, SM, Link, BK, Riby, J, North, KE, Gu, J, Hjalgrim, H, Cozen, W, Becker, N, Teras, LR, Spinelli, JJ, Turner, J, Zhang, Y, Purdue, MP, Giles, GG, Kelly, RS, Zeleniuch-Jacquotte, A, Ennas, MG, Monnereau, A, Bertrand, KA, Albanes, D, Lightfoot, T, Yeager, M, Chung, CC, Burdett, L, Hutchinson, A, Lawrence, C, Montalvan, R, Liang, L, Huang, J, Ma, B, Villano, DJ, Maria, A, Corines, M, Thomas, T, Novak, AJ, Dogan, A, Liebow, M, Thompson, CA, Witzig, TE, Habermann, TM, Weiner, GJ, Smith, MT, Holly, EA, Jackson, RD, Tinker, LF, Ye, Y, Adami, H-O, Smedby, KE, De Roos, AJ, Hartge, P, Morton, LM, Severson, RK, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Mckay, J, Staines, A, Diver, WR, Vajdic, CM, Armstrong, BK, Kricker, A, Zheng, T, Holford, TR, Severi, G, Vineis, P, Ferri, GM, Ricco, R, Miligi, L, Clavel, J, Giovannucci, E, Kraft, P, Virtamo, J, Smith, A, Kane, E, Roman, E, Chiu, BCH, Fraumeni, JF, Wu, X, Cerhan, JR, Offit, K, Chanock, SJ, Rothman, N, and Nieters, A
- Abstract
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
- Published
- 2015
13. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma
- Author
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Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, Chanock, SJ, Cerhan, JR, Berndt, SI, Vijai, J, Ghesquieres, H, McKay, J, Wang, SS, Wang, Z, Yeager, M, Conde, L, de Bakker, PIW, Nieters, A, Cox, D, Burdett, L, Monnereau, A, Flowers, CR, De Roos, AJ, Brooks-Wilson, AR, Lan, Q, Severi, G, Melbye, M, Gu, J, Jackson, RD, Kane, E, Teras, LR, Purdue, MP, Vajdic, CM, Spinelli, JJ, Giles, GG, Albanes, D, Kelly, RS, Zucca, M, Bertrand, KA, Zeleniuch-Jacquotte, A, Lawrence, C, Hutchinson, A, Zhi, D, Habermann, TM, Link, BK, Novak, AJ, Dogan, A, Asmann, YW, Liebow, M, Thompson, CA, Ansell, SM, Witzig, TE, Weiner, GJ, Veron, AS, Zelenika, D, Tilly, H, Haioun, C, Molina, TJ, Hjalgrim, H, Glimelius, B, Adami, H-O, Bracci, PM, Riby, J, Smith, MT, Holly, EA, Cozen, W, Hartge, P, Morton, LM, Severson, RK, Tinker, LF, North, KE, Becker, N, Benavente, Y, Boffetta, P, Brennan, P, Foretova, L, Maynadie, M, Staines, A, Lightfoot, T, Crouch, S, Smith, A, Roman, E, Diver, WR, Offit, K, Zelenetz, A, Klein, RJ, Villano, DJ, Zheng, T, Zhang, Y, Holford, TR, Kricker, A, Turner, J, Southey, MC, Clavel, J, Virtamo, J, Weinstein, S, Riboli, E, Vineis, P, Kaaks, R, Trichopoulos, D, Vermeulen, RCH, Boeing, H, Tjonneland, A, Angelucci, E, Di Lollo, S, Rais, M, Birmann, BM, Laden, F, Giovannucci, E, Kraft, P, Huang, J, Ma, B, Ye, Y, Chiu, BCH, Sampson, J, Liang, L, Park, J-H, Chung, CC, Weisenburger, DD, Chatterjee, N, Fraumeni, JF, Slager, SL, Wu, X, de Sanjose, S, Smedby, KE, Salles, G, Skibola, CF, Rothman, N, and Chanock, SJ
- Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
- Published
- 2014
14. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
- Author
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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
15. Smoking, variation in N-acetyltransferase 1 (NAT1) and 2 (NAT2), and risk of non-Hodgkin lymphoma: a pooled analysis within the InterLymph consortium.
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Gibson TM, Smedby KE, Skibola CF, Hein DW, Slager SL, de Sanjosé S, Vajdic CM, Zhang Y, Chiu BC, Wang SS, Hjalgrim H, Nieters A, Bracci PM, Kricker A, Zheng T, Kolar C, Cerhan JR, Darabi H, Becker N, and Conde L
- Abstract
Purpose: Studies of smoking and risk of non-Hodgkin lymphoma (NHL) have yielded inconsistent results, possibly due to subtype heterogeneity and/or genetic variation impacting the metabolism of tobacco-derived carcinogens, including substrates of the N-acetyltransferase enzymes NAT1 and NAT2.Methods: We conducted a pooled analysis of 5,026 NHL cases and 4,630 controls from seven case-control studies in the international lymphoma epidemiology consortium to examine associations between smoking, variation in the N-acetyltransferase genes NAT1 and NAT2, and risk of NHL subtypes. Smoking data were harmonized across studies, and genetic variants in NAT1 and NAT2 were used to infer acetylation phenotype of the NAT1 and NAT2 enzymes, respectively. Pooled odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for risk of NHL and subtypes were calculated using joint fixed effects unconditional logistic regression models.Results: Current smoking was associated with a significant 30 % increased risk of follicular lymphoma (n = 1,176) but not NHL overall or other NHL subtypes. The association was similar among NAT2 slow (OR 1.36; 95 % CI 1.07-1.75) and intermediate/rapid (OR 1.27; 95 % CI 0.95-1.69) acetylators (p (interaction) = 0.82) and also did not differ by NAT1*10 allelotype. Neither NAT2 phenotype nor NAT1*10 allelotype was associated with risk of NHL overall or NHL subtypes.Conclusion: The current findings provide further evidence for a modest association between current smoking and follicular lymphoma risk and suggest that this association may not be influenced by variation in the N-acetyltransferase enzymes. [ABSTRACT FROM AUTHOR]- Published
- 2013
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16. Tumor necrosis factor (TNF) and lymphotoxin-alpha (LTA) polymorphisms and risk of non-Hodgkin lymphoma in the InterLymph Consortium.
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Skibola CF, Bracci PM, Nieters A, Brooks-Wilson A, de Sanjosé S, Hughes AM, Cerhan JR, Skibola DR, Purdue M, Kane E, Lan Q, Foretova L, Schenk M, Spinelli JJ, Slager SL, De Roos AJ, Smith MT, Roman E, Cozen W, and Boffetta P
- Abstract
In an International Lymphoma Epidemiology Consortium pooled analysis, polymorphisms in 2 immune-system-related genes, tumor necrosis factor (TNF) and interleukin-10 (IL10), were associated with non-Hodgkin lymphoma (NHL) risk. Here, 8,847 participants were added to previous data (patients diagnosed from 1989 to 2005 in 14 case-control studies; 7,999 cases, 8,452 controls) for testing of polymorphisms in the TNF -308G>A (rs1800629), lymphotoxin-alpha (LTA) 252A>G (rs909253), IL10 -3575T>A (rs1800890, rs1800896), and nucleotide-binding oligomerization domain containing 2 (NOD2) 3020insC (rs2066847) genes. Odds ratios were estimated for non-Hispanic whites and several ethnic subgroups using 2-sided tests. Consistent with previous findings, odds ratios were increased for 'new' participant TNF -308A carriers (NHL: per-allele odds ratio (OR(allelic)) = 1.10, P(trend) = 0.001; diffuse large B-cell lymphoma (DLBCL): OR(allelic) = 1.23, P(trend) = 0.004). In the combined population, odds ratios were increased for TNF -308A carriers (NHL: OR(allelic) = 1.13, P(trend) = 0.0001; DLBCL: OR(allelic) = 1.25, P(trend) = 3.7 x 10(-6); marginal zone lymphoma: OR(allelic) = 1.35, P(trend) = 0.004) and LTA 252G carriers (DLBCL: OR(allelic) = 1.12, P(trend) = 0.006; mycosis fungoides: OR(allelic) = 1.44, P(trend) = 0.015). The LTA 252A>G/TNF -308G>A haplotype containing the LTA/TNF variant alleles was strongly associated with DLBCL (P = 2.9 x 10(-8)). Results suggested associations between IL10 -3575T>A and DLBCL (P(trend) = 0.02) and IL10 -1082A>G and mantle cell lymphoma (P(trend) = 0.04). These findings strengthen previous results for DLBCL and the LTA 252A>G/TNF -308A locus and provide robust evidence that these TNF/LTA gene variants, or others in linkage disequilibrium, are involved in NHL etiology. [ABSTRACT FROM AUTHOR]
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- 2010
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17. Genetic variation in TNF and IL10 and risk of non-Hodgkin lymphoma: a report from the InterLymph Consortium.
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Rothman N, Skibola CF, Wang SS, Morgan G, Lan Q, Smith MT, Spinelli JJ, Willett E, DeSanjose S, Cocco P, Berndt SI, Brennan P, Brooks-Wilson A, Wacholder S, Becker N, Hartge P, Zheng T, Roman E, Holly EA, and Boffetta P
- Abstract
Background: Common genetic variants in immune and inflammatory response genes can affect the risk of developing non-Hodgkin lymphoma. We aimed to test this hypothesis using previously unpublished data from eight European, Canadian, and US case-control studies of the International Lymphoma Epidemiology Consortium (InterLymph).Methods: We selected 12 single-nucleotide polymorphisms for analysis, on the basis of previous functional or association data, in nine genes that have important roles in lymphoid development, Th1/Th2 balance, and proinflammatory or anti-inflammatory pathways (IL1A, IL1RN, IL1B, IL2, IL6, IL10, TNF, LTA, and CARD15). Genotype data for one or more single-nucleotide polymorphisms were available for 3586 cases of non-Hodgkin lymphoma and for 4018 controls, and were assessed in a pooled analysis by use of a random-effects logistic regression model.Findings: The tumour necrosis factor (TNF) -308G-->A polymorphism was associated with increased risk of non-Hodgkin lymphoma (p for trend=0.005), particularly for diffuse large B-cell lymphoma, the main histological subtype (odds ratio 1.29 [95% CI 1.10-1.51] for GA and 1.65 [1.16-2.34] for AA, p for trend <0.0001), but not for follicular lymphoma. The interleukin 10 (IL10) -3575T-->A polymorphism was also associated with increased risk of non-Hodgkin lymphoma (p for trend=0.02), again particularly for diffuse large B-cell lymphoma (p for trend=0.006). For individuals homozygous for the TNF -308A allele and carrying at least one IL10 -3575A allele, risk of diffuse large B-cell lymphoma doubled (2.13 [1.37-3.32], p=0.00083).Interpretation: Common polymorphisms in TNF and IL10, key cytokines for the inflammatory response and Th1/Th2 balance, could be susceptibility loci for non-Hodgkin lymphoma. Moreover, our results underscore the importance of consortia for investigating the genetic basis of chronic diseases like cancer. [ABSTRACT FROM AUTHOR]- Published
- 2006
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18. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
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- 2023
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19. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes.
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF Jr, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, and Rothman N
- Subjects
- Humans, Genome-Wide Association Study, Risk Factors, Germ Cells, Case-Control Studies, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Lymphoma, Non-Hodgkin genetics
- Abstract
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10
-8 ) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9 ). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8 ), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)- Published
- 2022
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20. B-Cell NHL Subtype Risk Associated with Autoimmune Conditions and PRS.
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Wang SS, Vajdic CM, Linet MS, Slager SL, Voutsinas J, Nieters A, Casabonne D, Cerhan JR, Cozen W, Alarcón G, Martínez-Maza O, Brown EE, Bracci PM, Turner J, Hjalgrim H, Bhatti P, Zhang Y, Birmann BM, Flowers CR, Paltiel O, Holly EA, Kane E, Weisenburger DD, Maynadié M, Cocco P, Foretova L, Breen EC, Lan Q, Brooks-Wilson A, De Roos AJ, Smith MT, Roman E, Boffetta P, Kricker A, Zheng T, Skibola CF, Clavel J, Monnereau A, Chanock SJ, Rothman N, Benavente Y, Hartge P, and Smedby KE
- Subjects
- B-Lymphocytes, Case-Control Studies, Genome-Wide Association Study, Humans, Autoimmune Diseases epidemiology, Autoimmune Diseases genetics, Lymphoma, Follicular epidemiology, Lymphoma, Follicular genetics, Lymphoma, Large B-Cell, Diffuse epidemiology, Lymphoma, Large B-Cell, Diffuse genetics
- Abstract
Background: A previous International Lymphoma Epidemiology (InterLymph) Consortium evaluation of joint associations between five immune gene variants and autoimmune conditions reported interactions between B-cell response-mediated autoimmune conditions and the rs1800629 genotype on risk of B-cell non-Hodgkin lymphoma (NHL) subtypes. Here, we extend that evaluation using NHL subtype-specific polygenic risk scores (PRS) constructed from loci identified in genome-wide association studies of three common B-cell NHL subtypes., Methods: In a pooled analysis of NHL cases and controls of Caucasian descent from 14 participating InterLymph studies, we evaluated joint associations between B-cell-mediated autoimmune conditions and tertile (T) of PRS for risk of diffuse large B-cell lymphoma (DLBCL; n = 1,914), follicular lymphoma (n = 1,733), and marginal zone lymphoma (MZL; n = 407), using unconditional logistic regression., Results: We demonstrated a positive association of DLBCL PRS with DLBCL risk [T2 vs. T1: OR = 1.24; 95% confidence interval (CI), 1.08-1.43; T3 vs. T1: OR = 1.81; 95% CI, 1.59-2.07; P-trend (Ptrend) < 0.0001]. DLBCL risk also increased with increasing PRS tertile among those with an autoimmune condition, being highest for those with a B-cell-mediated autoimmune condition and a T3 PRS [OR = 6.46 vs. no autoimmune condition and a T1 PRS, Ptrend < 0.0001, P-interaction (Pinteraction) = 0.49]. Follicular lymphoma and MZL risk demonstrated no evidence of joint associations or significant Pinteraction., Conclusions: Our results suggest that PRS constructed from currently known subtype-specific loci may not necessarily capture biological pathways shared with autoimmune conditions., Impact: Targeted genetic (PRS) screening among population subsets with autoimmune conditions may offer opportunities for identifying those at highest risk for (and early detection from) DLBCL., (©2022 The Authors; Published by the American Association for Cancer Research.)
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- 2022
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21. Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes.
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Moore A, Machiela MJ, Machado M, Wang SS, Kane E, Slager SL, Zhou W, Carrington M, Lan Q, Milne RL, Birmann BM, Adami HO, Albanes D, Arslan AA, Becker N, Benavente Y, Bisanzi S, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Canzian F, Caporaso N, Clavel J, Cocco P, Conde L, Cox DG, Cozen W, Curtin K, De Vivo I, de Sanjose S, Foretova L, Gapstur SM, Ghesquières H, Giles GG, Glenn M, Glimelius B, Gao C, Habermann TM, Hjalgrim H, Jackson RD, Liebow M, Link BK, Maynadie M, McKay J, Melbye M, Miligi L, Molina TJ, Monnereau A, Nieters A, North KE, Offit K, Patel AV, Piro S, Ravichandran V, Riboli E, Salles G, Severson RK, Skibola CF, Smedby KE, Southey MC, Spinelli JJ, Staines A, Stewart C, Teras LR, Tinker LF, Travis RC, Vajdic CM, Vermeulen RCH, Vijai J, Weiderpass E, Weinstein S, Doo NW, Zhang Y, Zheng T, Chanock SJ, Rothman N, Cerhan JR, Dean M, Camp NJ, Yeager M, and Berndt SI
- Abstract
Aim: Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk., Methods: We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphoma (DLBCL), 2784 follicular lymphoma (FL), and 808 marginal zone lymphoma (MZL) cases, as well as 9374 controls. We examined the effect of homozygous variation on risk by: (1) estimating the fraction of the autosome containing runs of homozygosity (FROH); (2) calculating an inbreeding coefficient derived from the correlation among uniting gametes (F3); and (3) examining specific autosomal regions containing ROH. For each, we calculated beta coefficients and standard errors using logistic regression and combined estimates across studies using random-effects meta-analysis., Results: We discovered positive associations between FROH and CLL (β = 21.1, SE = 4.41, P = 1.6 × 10
-6 ) and FL (β = 11.4, SE = 5.82, P = 0.02) but not DLBCL ( P = 1.0) or MZL ( P = 0.91). For F3, we observed an association with CLL (β = 27.5, SE = 6.51, P = 2.4 × 10-5 ). We did not find evidence of associations with specific ROH, suggesting that the associations observed with FROH and F3 for CLL and FL risk were not driven by a single region of homozygosity., Conclusion: Our findings support the role of recessive genetic variation in the etiology of CLL and FL; additional research is needed to identify the specific loci associated with NHL risk., Competing Interests: Conflicts of interest All authors declare that there are no conflicts of interest.- Published
- 2021
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22. Lipid Trait Variants and the Risk of Non-Hodgkin Lymphoma Subtypes: A Mendelian Randomization Study.
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Kleinstern G, Camp NJ, Berndt SI, Birmann BM, Nieters A, Bracci PM, McKay JD, Ghesquières H, Lan Q, Hjalgrim H, Benavente Y, Monnereau A, Wang SS, Zhang Y, Purdue MP, Zeleniuch-Jacquotte A, Giles GG, Vermeulen R, Cocco P, Albanes D, Teras LR, Brooks-Wilson AR, Vajdic CM, Kane E, Caporaso NE, Smedby KE, Salles G, Vijai J, Chanock SJ, Skibola CF, Rothman N, Slager SL, and Cerhan JR
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- Causality, Cholesterol blood, Cholesterol metabolism, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell blood, Leukemia, Lymphocytic, Chronic, B-Cell genetics, Leukemia, Lymphocytic, Chronic, B-Cell metabolism, Lipoproteins, HDL blood, Lipoproteins, HDL metabolism, Lipoproteins, LDL blood, Lipoproteins, LDL metabolism, Lymphoma, B-Cell, Marginal Zone blood, Lymphoma, B-Cell, Marginal Zone genetics, Lymphoma, B-Cell, Marginal Zone metabolism, Lymphoma, Follicular blood, Lymphoma, Follicular genetics, Lymphoma, Follicular metabolism, Lymphoma, Large B-Cell, Diffuse blood, Lymphoma, Large B-Cell, Diffuse genetics, Lymphoma, Large B-Cell, Diffuse metabolism, Mendelian Randomization Analysis, Odds Ratio, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Triglycerides blood, Triglycerides metabolism, Leukemia, Lymphocytic, Chronic, B-Cell epidemiology, Lipid Metabolism genetics, Lymphoma, B-Cell, Marginal Zone epidemiology, Lymphoma, Follicular epidemiology, Lymphoma, Large B-Cell, Diffuse epidemiology
- Abstract
Background: Lipid traits have been inconsistently linked to risk of non-Hodgkin lymphoma (NHL). We examined the association of genetically predicted lipid traits with risk of diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and marginal zone lymphoma (MZL) using Mendelian randomization (MR) analysis., Methods: Genome-wide association study data from the InterLymph Consortium were available for 2,661 DLBCLs, 2,179 CLLs, 2,142 FLs, 824 MZLs, and 6,221 controls. SNPs associated ( P < 5 × 10
-8 ) with high-density lipoprotein (HDL, n = 164), low-density lipoprotein (LDL, n = 137), total cholesterol (TC, n = 161), and triglycerides (TG, n = 123) were used as instrumental variables (IV), explaining 14.6%, 27.7%, 16.8%, and 12.8% of phenotypic variation, respectively. Associations between each lipid trait and NHL subtype were calculated using the MR inverse variance-weighted method, estimating odds ratios (OR) per standard deviation and 95% confidence intervals (CI)., Results: HDL was positively associated with DLBCL (OR = 1.14; 95% CI, 1.00-1.30) and MZL (OR = 1.09; 95% CI, 1.01-1.18), while TG was inversely associated with MZL risk (OR = 0.90; 95% CI, 0.83-0.99), all at nominal significance ( P < 0.05). A positive trend was observed for HDL with FL risk (OR = 1.08; 95% CI, 0.99-1.19; P = 0.087). No associations were noteworthy after adjusting for multiple testing., Conclusions: We did not find evidence of a clear or strong association of these lipid traits with the most common NHL subtypes. While these IVs have been previously linked to other cancers, our findings do not support any causal associations with these NHL subtypes., Impact: Our results suggest that prior reported inverse associations of lipid traits are not likely to be causal and could represent reverse causality or confounding., (©2020 American Association for Cancer Research.)- Published
- 2020
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23. Genetically Determined Height and Risk of Non-hodgkin Lymphoma.
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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 HO, 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, Ghesquières 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., (Copyright © 2020 Moore, Kane, Wang, Panagiotou, Teras, Monnereau, Wong Doo, Machiela, Skibola, Slager, Salles, Camp, Bracci, Nieters, Vermeulen, Vijai, Smedby, Zhang, Vajdic, Cozen, Spinelli, Hjalgrim, Giles, Link, Clavel, Arslan, Purdue, Tinker, Albanes, Ferri, Habermann, Adami, Becker, Benavente, Bisanzi, Boffetta, Brennan, Brooks-Wilson, Canzian, Conde, Cox, Curtin, Foretova, Gapstur, Ghesquières, Glenn, Glimelius, Jackson, Lan, Liebow, Maynadie, McKay, Melbye, Miligi, Milne, Molina, Morton, North, Offit, Padoan, Patel, Piro, Ravichandran, Riboli, de Sanjose, Severson, Southey, Staines, Stewart, Travis, Weiderpass, Weinstein, Zheng, Chanock, Chatterjee, Rothman, Birmann, Cerhan and Berndt.)
- Published
- 2020
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24. Inherited variants at 3q13.33 and 3p24.1 are associated with risk of diffuse large B-cell lymphoma and implicate immune pathways.
- Author
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Kleinstern G, Yan H, Hildebrandt MAT, Vijai J, Berndt SI, Ghesquières H, McKay J, Wang SS, Nieters A, Ye Y, Monnereau A, Brooks-Wilson AR, Lan Q, Melbye M, Jackson RD, Teras LR, Purdue MP, Vajdic CM, Vermeulen RCH, Giles GG, Cocco PL, Birmann BM, Kraft P, Albanes D, Zeleniuch-Jacquotte A, Crouch S, Zhang Y, Sarangi V, Asmann Y, Offit K, Salles G, Wu X, Smedby KE, Skibola CF, Slager SL, Rothman N, Chanock SJ, and Cerhan JR
- Subjects
- B7-2 Antigen genetics, Gene Frequency genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Genotype, Humans, Odds Ratio, Polymorphism, Single Nucleotide genetics, Promoter Regions, Genetic genetics, Receptors, Cell Surface genetics, Chromosomes, Human, Pair 3 genetics, Linkage Disequilibrium genetics, Lymphoma, B-Cell metabolism
- Abstract
We previously identified five single nucleotide polymorphisms (SNPs) at four susceptibility loci for diffuse large B-cell lymphoma (DLBCL) in individuals of European ancestry through a large genome-wide association study (GWAS). To further elucidate genetic susceptibility to DLBCL, we sought to validate two loci at 3q13.33 and 3p24.1 that were suggestive in the original GWAS with additional genotyping. In the meta-analysis (5662 cases and 9237 controls) of the four original GWAS discovery scans and three replication studies, the 3q13.33 locus (rs9831894; minor allele frequency [MAF] = 0.40) was associated with DLBCL risk [odds ratio (OR) = 0.83, P = 3.62 × 10-13]. rs9831894 is in linkage disequilibrium (LD) with additional variants that are part of a super-enhancer that physically interacts with promoters of CD86 and ILDR1. In the meta-analysis (5510 cases and 12 817 controls) of the four GWAS discovery scans and four replication studies, the 3p24.1 locus (rs6773363; MAF = 0.45) was also associated with DLBCL risk (OR = 1.20, P = 2.31 × 10-12). This SNP is 29 426-bp upstream of the nearest gene EOMES and in LD with additional SNPs that are part of a highly lineage-specific and tumor-acquired super-enhancer that shows long-range interaction with AZI2 promoter. These loci provide additional evidence for the role of immune function in the etiology of DLBCL, the most common lymphoma subtype., (© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2020
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25. Genetic overlap between autoimmune diseases and non-Hodgkin lymphoma subtypes.
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Din L, Sheikh M, Kosaraju N, Smedby KE, Bernatsky S, Berndt SI, Skibola CF, Nieters A, Wang S, McKay JD, Cocco P, Maynadié M, Foretová L, Staines A, Mack TM, de Sanjosé 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 DV, Cox DG, Casabonne D, Albanes D, Kane E, Roman E, Muzi G, Salles G, Giles GG, Adami HO, Ghesquières 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, Wong Doo N, 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 PA, Oksenberg JR, Cozen W, Hjalgrim H, and Khankhanian P
- Subjects
- Alleles, Female, HLA Antigens genetics, Humans, Male, Middle Aged, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Risk Factors, Autoimmune Diseases genetics, Genetic Predisposition to Disease, Lymphoma, Non-Hodgkin genetics
- 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., (© 2019 Wiley Periodicals, Inc.)
- Published
- 2019
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26. Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia.
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McMaster ML, Berndt SI, Zhang J, Slager SL, Li SA, Vajdic CM, Smedby KE, Yan H, Birmann BM, Brown EE, Smith A, Kleinstern G, Fansler MM, Mayr C, Zhu B, Chung CC, Park JH, Burdette L, Hicks BD, Hutchinson A, Teras LR, Adami HO, Bracci PM, McKay J, Monnereau A, Link BK, Vermeulen RCH, Ansell SM, Maria A, Diver WR, Melbye M, Ojesina AI, Kraft P, Boffetta P, Clavel J, Giovannucci E, Besson CM, Canzian F, Travis RC, Vineis P, Weiderpass E, Montalvan R, Wang Z, Yeager M, Becker N, Benavente Y, Brennan P, Foretova L, Maynadie M, Nieters A, de Sanjose S, Staines A, Conde L, Riby J, Glimelius B, Hjalgrim H, Pradhan N, Feldman AL, Novak AJ, Lawrence C, Bassig BA, Lan Q, Zheng T, North KE, Tinker LF, Cozen W, Severson RK, Hofmann JN, Zhang Y, Jackson RD, Morton LM, Purdue MP, Chatterjee N, Offit K, Cerhan JR, Chanock SJ, Rothman N, Vijai J, Goldin LR, Skibola CF, and Caporaso NE
- Subjects
- Base Sequence, Cell Proliferation, Family, Genes, Reporter, Genotyping Techniques, Green Fluorescent Proteins metabolism, HEK293 Cells, Humans, Inheritance Patterns genetics, MicroRNAs metabolism, Molecular Sequence Annotation, Polymorphism, Single Nucleotide genetics, Reproducibility of Results, Risk Factors, Chromosomes, Human, Pair 14 genetics, Chromosomes, Human, Pair 6 genetics, Genetic Predisposition to Disease, Waldenstrom Macroglobulinemia genetics
- Abstract
Waldenström macroglobulinemia (WM)/lymphoplasmacytic lymphoma (LPL) is a rare, chronic B-cell lymphoma with high heritability. We conduct a two-stage genome-wide association study of WM/LPL in 530 unrelated cases and 4362 controls of European ancestry and identify two high-risk loci associated with WM/LPL at 6p25.3 (rs116446171, near EXOC2 and IRF4; OR = 21.14, 95% CI: 14.40-31.03, P = 1.36 × 10
-54 ) and 14q32.13 (rs117410836, near TCL1; OR = 4.90, 95% CI: 3.45-6.96, P = 8.75 × 10-19 ). Both risk alleles are observed at a low frequency among controls (~2-3%) and occur in excess in affected cases within families. In silico data suggest that rs116446171 may have functional importance, and in functional studies, we demonstrate increased reporter transcription and proliferation in cells transduced with the 6p25.3 risk allele. Although further studies are needed to fully elucidate underlying biological mechanisms, together these loci explain 4% of the familial risk and provide insights into genetic susceptibility to this malignancy.- Published
- 2018
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27. HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes.
- Author
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Wang SS, Carrington M, Berndt SI, Slager SL, Bracci PM, Voutsinas J, Cerhan JR, Smedby KE, Hjalgrim H, Vijai J, Morton LM, Vermeulen R, Paltiel O, Vajdic CM, Linet MS, Nieters A, de Sanjose S, Cozen W, Brown EE, Turner J, Spinelli JJ, Zheng T, Birmann BM, Flowers CR, Becker N, Holly EA, Kane E, Weisenburger D, Maynadie M, Cocco P, Albanes D, Weinstein SJ, Teras LR, Diver WR, Lax SJ, Travis RC, Kaaks R, Riboli E, Benavente Y, Brennan P, McKay J, Delfau-Larue MH, Link BK, Magnani C, Ennas MG, Latte G, Feldman AL, Doo NW, Giles GG, Southey MC, Milne RL, Offit K, Musinsky J, Arslan AA, Purdue MP, Adami HO, Melbye M, Glimelius B, Conde L, Camp NJ, Glenn M, Curtin K, Clavel J, Monnereau A, Cox DG, Ghesquières H, Salles G, Bofetta P, Foretova L, Staines A, Davis S, Severson RK, Lan Q, Brooks-Wilson A, Smith MT, Roman E, Kricker A, Zhang Y, Kraft P, Chanock SJ, Rothman N, Hartge P, and Skibola CF
- Subjects
- Case-Control Studies, Female, Genetic Heterogeneity, Genome-Wide Association Study methods, Heterozygote, Humans, Male, Prospective Studies, Histocompatibility Antigens Class I genetics, Histocompatibility Antigens Class II genetics, Lymphoma, Non-Hodgkin genetics
- Abstract
A growing number of loci within the human leukocyte antigen (HLA) region have been implicated in non-Hodgkin lymphoma (NHL) etiology. Here, we test a complementary hypothesis of "heterozygote advantage" regarding the role of HLA and NHL, whereby HLA diversity is beneficial and homozygous HLA loci are associated with increased disease risk. HLA alleles at class I and II loci were imputed from genome-wide association studies (GWAS) using SNP2HLA for 3,617 diffuse large B-cell lymphomas (DLBCL), 2,686 follicular lymphomas (FL), 2,878 chronic lymphocytic leukemia/small lymphocytic lymphomas (CLL/SLL), 741 marginal zone lymphomas (MZL), and 8,753 controls of European descent. Both DLBCL and MZL risk were elevated with homozygosity at class I HLA-B and -C loci (OR DLBCL = 1.31, 95% CI = 1.06-1.60; OR MZL = 1.45, 95% CI = 1.12-1.89) and class II HLA-DRB1 locus (OR DLBCL = 2.10, 95% CI = 1.24-3.55; OR MZL = 2.10, 95% CI = 0.99-4.45). Increased FL risk was observed with the overall increase in number of homozygous HLA class II loci ( P trend < 0.0001, FDR = 0.0005). These results support a role for HLA zygosity in NHL etiology and suggests that distinct immune pathways may underly the etiology of the different NHL subtypes. Significance: HLA gene diversity reduces risk for non-Hodgkin lymphoma. Cancer Res; 78(14); 4086-96. ©2018 AACR ., (©2018 American Association for Cancer Research.)
- Published
- 2018
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28. Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis.
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Kleinstern G, Camp NJ, Goldin LR, Vachon CM, Vajdic CM, de Sanjose S, Weinberg JB, Benavente Y, Casabonne D, Liebow M, Nieters A, Hjalgrim H, Melbye M, Glimelius B, Adami HO, Boffetta P, Brennan P, Maynadie M, McKay J, Cocco PL, Shanafelt TD, Call TG, Norman AD, Hanson C, Robinson D, Chaffee KG, Brooks-Wilson AR, Monnereau A, Clavel J, Glenn M, Curtin K, Conde L, Bracci PM, Morton LM, Cozen W, Severson RK, Chanock SJ, Spinelli JJ, Johnston JB, Rothman N, Skibola CF, Leis JF, Kay NE, Smedby KE, Berndt SI, Cerhan JR, Caporaso N, and Slager SL
- Subjects
- Adult, Aged, Aged, 80 and over, B-Lymphocytes metabolism, B-Lymphocytes pathology, Female, Genetic Loci, Genetic Predisposition to Disease, Humans, Leukemia, Lymphocytic, Chronic, B-Cell etiology, Lymphocytosis complications, Male, Middle Aged, Odds Ratio, Risk Factors, Leukemia, Lymphocytic, Chronic, B-Cell genetics, Lymphocytosis genetics, Polymorphism, Single Nucleotide
- Abstract
Inherited loci have been found to be associated with risk of chronic lymphocytic leukemia (CLL). A combined polygenic risk score (PRS) of representative single nucleotide polymorphisms (SNPs) from these loci may improve risk prediction over individual SNPs. Herein, we evaluated the association of a PRS with CLL risk and its precursor, monoclonal B-cell lymphocytosis (MBL). We assessed its validity and discriminative ability in an independent sample and evaluated effect modification and confounding by family history (FH) of hematological cancers. For discovery, we pooled genotype data on 41 representative SNPs from 1499 CLL and 2459 controls from the InterLymph Consortium. For validation, we used data from 1267 controls from Mayo Clinic and 201 CLL, 95 MBL, and 144 controls with a FH of CLL from the Genetic Epidemiology of CLL Consortium. We used odds ratios (ORs) to estimate disease associations with PRS and c-statistics to assess discriminatory accuracy. In InterLymph, the continuous PRS was strongly associated with CLL risk (OR, 2.49; P = 4.4 × 10
-94 ). We replicated these findings in the Genetic Epidemiology of CLL Consortium and Mayo controls (OR, 3.02; P = 7.8 × 10-30 ) and observed high discrimination (c-statistic = 0.78). When jointly modeled with FH, PRS retained its significance, along with FH status. Finally, we found a highly significant association of the continuous PRS with MBL risk (OR, 2.81; P = 9.8 × 10-16 ). In conclusion, our validated PRS was strongly associated with CLL risk, adding information beyond FH. The PRS provides a means of identifying those individuals at greater risk for CLL as well as those at increased risk of MBL, a condition that has potential clinical impact beyond CLL.- Published
- 2018
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29. Impact of genistein on the gut microbiome of humanized mice and its role in breast tumor inhibition.
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Paul B, Royston KJ, Li Y, Stoll ML, Skibola CF, Wilson LS, Barnes S, Morrow CD, and Tollefsbol TO
- Subjects
- Adult, Aged, Animals, Antineoplastic Agents therapeutic use, Breast Neoplasms drug therapy, Feces microbiology, Female, Humans, Mice, Middle Aged, Anticarcinogenic Agents pharmacology, Breast Neoplasms prevention & control, Disease Models, Animal, Gastrointestinal Microbiome drug effects, Genistein pharmacology
- Abstract
Since dietary polyphenols can have beneficial effects in prevention and treatment of cancer, we tested the hypothesis that breast cancer patients' intestinal microbiota is modulated by genistein (GE), an isoflavone found in soy, and that microbial alterations may offset the side effects brought about by chemotherapy. We demonstrated successful humanization of germ-free mice by transplanting fecal samples from breast cancer patients before and after chemotherapy. Mice were then grouped based on chemotherapy status and GE or control diet. We did not find any significant differences between pre-chemotherapy and post-chemotherapy bacterial composition and abundances. Germ-free mice on a GE diet showed differences in microbial composition as compared to mice on control diet. Four weeks after introduction of the customized GE diet, there was distinct clustering of GE-fed mice as compared to the control-fed group. In the gut microbiome of GE-treated humanized mice, there was an increase in abundance of genera Lactococcus and Eubacterium. Phylum Verrucomicrobia showed statistically significant (p = 0.02) differences in abundances between the GE-fed and control-fed groups. There was an increase in bacteria belonging to family Lachnospiraceae and Ruminococcaceae in GE-fed mice. Marked changes were observed in GE catabolism in mice humanized with fecal material from two of three patients' post-chemotherapy with complete disappearance of 4-ethylphenol and 2-(4-hydroxyphenol) propionic acid conjugates. The post-tumor samples did not show any distinct clustering of the gut microbiota between the two diet groups. There was an increase in latency of about 25% for tumor growth of the humanized mice that were on a GE diet as compared to humanized mice on a control diet. The average tumor size for the GE group was significantly decreased compared to the non-GE group. Collectively, our results suggest that the intestinal microbiota becomes altered with a GE diet before induction of tumor. Our findings indicate that GE modulates the microbiome in humanized mice that may contribute to its effects on increasing the latency of breast tumor and reducing tumor growth.
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- 2017
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30. Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma.
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Bernatsky S, Velásquez García HA, Spinelli JJ, Gaffney P, Smedby KE, Ramsey-Goldman R, Wang SS, Adami HO, Albanes D, Angelucci E, Ansell SM, Asmann YW, Becker N, Benavente Y, Berndt SI, Bertrand KA, Birmann BM, Boeing H, Boffetta P, Bracci PM, Brennan P, Brooks-Wilson AR, Cerhan JR, Chanock SJ, Clavel J, Conde L, Cotenbader KH, Cox DG, Cozen W, Crouch S, De Roos AJ, de Sanjose S, Di Lollo S, Diver WR, Dogan A, Foretova L, Ghesquières H, Giles GG, Glimelius B, Habermann TM, Haioun C, Hartge P, Hjalgrim H, Holford TR, Holly EA, Jackson RD, Kaaks R, Kane E, Kelly RS, Klein RJ, Kraft P, Kricker A, Lan Q, Lawrence C, Liebow M, Lightfoot T, Link BK, Maynadie M, McKay J, Melbye M, Molina TJ, Monnereau A, Morton LM, Nieters A, North KE, Novak AJ, Offit K, Purdue MP, Rais M, Riby J, Roman E, Rothman N, Salles G, Severi G, Severson RK, Skibola CF, Slager SL, Smith A, Smith MT, Southey MC, Staines A, Teras LR, Thompson CA, Tilly H, Tinker LF, Tjonneland A, Turner J, Vajdic CM, Vermeulen RCH, Vijai J, Vineis P, Virtamo J, Wang Z, Weinstein S, Witzig TE, Zelenetz A, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Zucca M, and Clarke AE
- Abstract
Objective: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL., Methods: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis., Results: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765., Conclusions: These data suggest several plausible genetic links between DLBCL and SLE., Competing Interests: Competing interests: None declared.
- Published
- 2017
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31. Associations between arsenic (+3 oxidation state) methyltransferase (AS3MT) and N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) polymorphisms, arsenic metabolism, and cancer risk in a chilean population.
- Author
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de la Rosa R, Steinmaus C, Akers NK, Conde L, Ferreccio C, Kalman D, Zhang KR, Skibola CF, Smith AH, Zhang L, and Smith MT
- Subjects
- Aged, Arsenic urine, Chile, Female, Gene Frequency genetics, Humans, Linkage Disequilibrium genetics, Male, Middle Aged, Neoplasms urine, Oxidation-Reduction, Risk Factors, Treatment Outcome, Arsenic metabolism, Genetic Predisposition to Disease, Methyltransferases genetics, Neoplasms enzymology, Neoplasms genetics, Polymorphism, Genetic, Site-Specific DNA-Methyltransferase (Adenine-Specific) genetics
- Abstract
Inter-individual differences in arsenic metabolism have been linked to arsenic-related disease risks. Arsenic (+3) methyltransferase (AS3MT) is the primary enzyme involved in arsenic metabolism, and we previously demonstrated in vitro that N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) also methylates the toxic inorganic arsenic (iAs) metabolite, monomethylarsonous acid (MMA), to the less toxic dimethylarsonic acid (DMA). Here, we evaluated whether AS3MT and N6AMT1 gene polymorphisms alter arsenic methylation and impact iAs-related cancer risks. We assessed AS3MT and N6AMT1 polymorphisms and urinary arsenic metabolites (%iAs, %MMA, %DMA) in 722 subjects from an arsenic-cancer case-control study in a uniquely exposed area in northern Chile. Polymorphisms were genotyped using a custom designed multiplex, ligation-dependent probe amplification (MLPA) assay for 6 AS3MT SNPs and 14 tag SNPs in the N6AMT1 gene. We found several AS3MT polymorphisms associated with both urinary arsenic metabolite profiles and cancer risk. For example, compared to wildtypes, individuals carrying minor alleles in AS3MT rs3740393 had lower %MMA (mean difference = -1.9%, 95% CI: -3.3, -0.4), higher %DMA (mean difference = 4.0%, 95% CI: 1.5, 6.5), and lower odds ratios for bladder (OR = 0.3; 95% CI: 0.1-0.6) and lung cancer (OR = 0.6; 95% CI: 0.2-1.1). Evidence of interaction was also observed for both lung and bladder cancer between these polymorphisms and elevated historical arsenic exposures. Clear associations were not seen for N6AMT1. These results are the first to demonstrate a direct association between AS3MT polymorphisms and arsenic-related internal cancer risk. This research could help identify subpopulations that are particularly vulnerable to arsenic-related disease. Environ. Mol. Mutagen. 58:411-422, 2017. © 2017 Wiley Periodicals, Inc., (© 2017 Wiley Periodicals, Inc.)
- Published
- 2017
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32. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.
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Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, Bowden J, Wade KH, Timpson NJ, Evans DM, Willeit P, Aviv A, Gaunt TR, Hemani G, Mangino M, Ellis HP, Kurian KM, Pooley KA, Eeles RA, Lee JE, Fang S, Chen WV, Law MH, Bowdler LM, Iles MM, Yang Q, Worrall BB, Markus HS, Hung RJ, Amos CI, Spurdle AB, Thompson DJ, O'Mara TA, Wolpin B, Amundadottir L, Stolzenberg-Solomon R, Trichopoulou A, Onland-Moret NC, Lund E, Duell EJ, Canzian F, Severi G, Overvad K, Gunter MJ, Tumino R, Svenson U, van Rij A, Baas AF, Bown MJ, Samani NJ, van t'Hof FNG, Tromp G, Jones GT, Kuivaniemi H, Elmore JR, Johansson M, Mckay J, Scelo G, Carreras-Torres R, Gaborieau V, Brennan P, Bracci PM, Neale RE, Olson SH, Gallinger S, Li D, Petersen GM, Risch HA, Klein AP, Han J, Abnet CC, Freedman ND, Taylor PR, Maris JM, Aben KK, Kiemeney LA, Vermeulen SH, Wiencke JK, Walsh KM, Wrensch M, Rice T, Turnbull C, Litchfield K, Paternoster L, Standl M, Abecasis GR, SanGiovanni JP, Li Y, Mijatovic V, Sapkota Y, Low SK, Zondervan KT, Montgomery GW, Nyholt DR, van Heel DA, Hunt K, Arking DE, Ashar FN, Sotoodehnia N, Woo D, Rosand J, Comeau ME, Brown WM, Silverman EK, Hokanson JE, Cho MH, Hui J, Ferreira MA, Thompson PJ, Morrison AC, Felix JF, Smith NL, Christiano AM, Petukhova L, Betz RC, Fan X, Zhang X, Zhu C, Langefeld CD, Thompson SD, Wang F, Lin X, Schwartz DA, Fingerlin T, Rotter JI, Cotch MF, Jensen RA, Munz M, Dommisch H, Schaefer AS, Han F, Ollila HM, Hillary RP, Albagha O, Ralston SH, Zeng C, Zheng W, Shu XO, Reis A, Uebe S, Hüffmeier U, Kawamura Y, Otowa T, Sasaki T, Hibberd ML, Davila S, Xie G, Siminovitch K, Bei JX, Zeng YX, Försti A, Chen B, Landi S, Franke A, Fischer A, Ellinghaus D, Flores C, Noth I, Ma SF, Foo JN, Liu J, Kim JW, Cox DG, Delattre O, Mirabeau O, Skibola CF, Tang CS, Garcia-Barcelo M, Chang KP, Su WH, Chang YS, Martin NG, Gordon S, Wade TD, Lee C, Kubo M, Cha PC, Nakamura Y, Levy D, Kimura M, Hwang SJ, Hunt S, Spector T, Soranzo N, Manichaikul AW, Barr RG, Kahali B, Speliotes E, Yerges-Armstrong LM, Cheng CY, Jonas JB, Wong TY, Fogh I, Lin K, Powell JF, Rice K, Relton CL, Martin RM, and Davey Smith G
- Subjects
- Adult, Aged, Aged, 80 and over, Cardiovascular Diseases genetics, Female, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Assessment methods, Telomere genetics, Genetic Predisposition to Disease genetics, Mendelian Randomization Analysis methods, Neoplasms genetics, Telomere Homeostasis genetics
- Abstract
Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation., Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases., Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015., Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available., Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population., Main Outcomes and Measures: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation., Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15])., Conclusions and Relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.
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- 2017
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33. Argininosuccinate Synthase 1 is a Metabolic Regulator of Colorectal Cancer Pathogenicity.
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Bateman LA, Ku WM, Heslin MJ, Contreras CM, Skibola CF, and Nomura DK
- Subjects
- Argininosuccinate Synthase antagonists & inhibitors, Colorectal Neoplasms enzymology, Colorectal Neoplasms metabolism, Enzyme Inhibitors pharmacology, Humans, Metabolome, Signal Transduction, Argininosuccinate Synthase metabolism, Colorectal Neoplasms pathology
- Abstract
Like many cancer types, colorectal cancers have dysregulated metabolism that promotes their pathogenic features. In this study, we used the activity-based protein profiling chemoproteomic platform to profile cysteine-reactive metabolic enzymes that are upregulated in primary human colorectal tumors. We identified argininosuccinate synthase 1 (ASS1) as an upregulated target in primary human colorectal tumors and show that pharmacological inhibition or genetic ablation of ASS1 impairs colorectal cancer pathogenicity. Using metabolomic profiling, we show that ASS1 inhibition leads to reductions in the levels of oncogenic metabolite fumarate, leading to impairments in glycolytic metabolism that supports colorectal cancer cell pathogenicity. We show here that ASS1 inhibitors may represent a novel therapeutic approach for attenuating colorectal cancer through compromising critical metabolic and metabolite signaling pathways and demonstrate the utility of coupling chemoproteomic and metabolomic strategies to map novel metabolic regulators of cancer.
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- 2017
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34. Chemoproteomic Screening of Covalent Ligands Reveals UBA5 As a Novel Pancreatic Cancer Target.
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Roberts AM, Miyamoto DK, Huffman TR, Bateman LA, Ives AN, Akopian D, Heslin MJ, Contreras CM, Rape M, Skibola CF, and Nomura DK
- Subjects
- Gene Knockdown Techniques, Humans, Ligands, Pancreatic Neoplasms metabolism, Polymerase Chain Reaction, Ubiquitin-Activating Enzymes genetics, Antineoplastic Agents pharmacology, Pancreatic Neoplasms drug therapy, Proteomics, Ubiquitin-Activating Enzymes drug effects
- Abstract
Chemical genetic screening of small-molecule libraries has been a promising strategy for discovering unique and novel therapeutic compounds. However, identifying the targets of lead molecules that arise from these screens has remained a major bottleneck in understanding the mechanism of action of these compounds. Here, we have coupled the screening of a cysteine-reactive fragment-based covalent ligand library with an isotopic tandem orthogonal proteolysis-enabled activity-based protein profiling (isoTOP-ABPP) chemoproteomic platform to rapidly couple the discovery of lead small molecules that impair pancreatic cancer pathogenicity with the identification of druggable hotspots for potential cancer therapy. Through this coupled approach, we have discovered a covalent ligand DKM 2-93 that impairs pancreatic cancer cell survival and in vivo tumor growth through covalently modifying the catalytic cysteine of the ubiquitin-like modifier activating enzyme 5 (UBA5), thereby inhibiting its activity as a protein that activates the ubiquitin-like protein UFM1 to UFMylate proteins. We show that UBA5 is a novel pancreatic cancer therapeutic target and show DKM 2-93 as a relatively selective lead inhibitor of UBA5. Our results underscore the utility of coupling the screening of covalent ligand libraries with isoTOP-ABPP platforms for mining the proteome for druggable hotspots for cancer therapy.
- Published
- 2017
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35. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia.
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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 RC, 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 MJ, Catovsky D, Campo E, Cerhan JR, Allan JM, Rothman N, Houlston R, and Slager S
- Subjects
- Adult, B-Lymphocytes immunology, B-Lymphocytes physiology, Case-Control Studies, Chromosome Mapping, Female, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell immunology, Male, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Antibody Formation genetics, Chromosomes, Human genetics, Genetic Predisposition to Disease, Leukemia, Lymphocytic, Chronic, B-Cell genetics
- 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., Competing Interests: The authors declare no competing financial interests.- Published
- 2017
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36. Serum protein profiling in diffuse large B-cell lymphoma.
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Riby J, Mobley J, Zhang J, Bracci PM, and Skibola CF
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- Adiponectin metabolism, Aged, Aged, 80 and over, Case-Control Studies, Chromatography, High Pressure Liquid, Enzyme-Linked Immunosorbent Assay, Extracellular Matrix Proteins metabolism, Heparan Sulfate Proteoglycans metabolism, Humans, Lipopolysaccharide Receptors metabolism, Lymphoma, Large B-Cell, Diffuse blood, Mass Spectrometry, Middle Aged, Peptides analysis, Pilot Projects, Blood Proteins metabolism, Lymphoma, Large B-Cell, Diffuse pathology
- Abstract
Purpose: The aim of this pilot study was to conduct a nontargeted exploratory proteomics profiling analysis on sera obtained from patients diagnosed with diffuse large B-cell lymphoma (DLBCL) with the goal of identifying disease-specific biomarkers., Experimental Design: Sera from 87 participants (57 chemotherapy-naïve diffuse DLBCL patients, 30 controls frequency-matched by age group and World Health Organization (WHO) BMI categories) that were part of a large San Francisco Bay Area case-control study of non-Hodgkin lymphoma were analyzed by liquid chromatography combined with tandem mass spectrometry., Results: Thirty-five proteins (p-adjusted <0.05) were identified as differentially abundant between the DLBCL patients at various disease stages as compared to the controls. Of these, five proteins were randomly selected for further confirmation by ELISA: adiponectin (AdipoQ), cluster of differentiation 14 (CD14), heparin sulfate proteoglycan core protein (HSPG2), extracellular matrix 1 (ECM1), and alpha-1-antichymotrypsin (ACT). These proteins were statistically significantly elevated by 68.8, 37.0, 61.6, 68.0, and 32.0%, respectively, in DLBCL patient sera as compared to controls., Conclusion and Clinical Relevance: These preliminary data when combined with other cancer-related data regarding these proteins warrant continued research in clinical and large prospective studies to clarify the role for these biomarkers in DLBCL pathogenesis and/or prognosis., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
- Published
- 2016
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37. Nonsyndromic cleft lip with or without cleft palate and cancer: Evaluation of a possible common genetic background through the analysis of GWAS data.
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Dunkhase E, Ludwig KU, Knapp M, Skibola CF, Figueiredo JC, Hosking FJ, Ellinghaus E, Landi MT, Ma H, Nakagawa H, Kim JW, Han J, Yang P, Böhmer AC, Mattheisen M, Nöthen MM, and Mangold E
- Abstract
Previous research suggests a genetic overlap between nonsyndromic cleft lip with or without cleft palate (NSCL/P) and cancer. The aim of the present study was to identify common genetic risk loci for NSCL/P and cancer entities that have been reported to co-occur with orofacial clefting. This was achieved through the investigation of large genome-wide association study datasets. Investigations of 12 NSCL/P single nucleotide polymorphisms (SNPs) in 32 cancer datasets, and 204 cancer SNPs in two NSCL/P datasets, were performed. The SNPs rs13041247 (20q12) and rs6457327 (6p21.33) showed suggestive evidence for an association with both NSCL/P and a specific cancer entity. These loci harbor genes of biological relevance to oncogenesis (MAFB and OCT4, respectively). This study is the first to characterize possible pleiotropic risk loci for NSCL/P and cancer in a systematic manner. The data represent a starting point for future research by identifying a genetic link between NSCL/P and cancer.
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- 2016
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38. A Fucus vesiculosus extract inhibits estrogen receptor activation and induces cell death in female cancer cell lines.
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Zhang J, Riby JE, Conde L, Grizzle WE, Cui X, and Skibola CF
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- Apoptosis drug effects, Aromatase metabolism, Autophagy drug effects, Biomarkers metabolism, Caspases metabolism, Cell Line, Tumor, Cell Survival drug effects, Enzyme Activation drug effects, Female, Gene Expression drug effects, Humans, Antineoplastic Agents, Hormonal pharmacology, Fucus chemistry, Receptors, Estrogen antagonists & inhibitors
- Abstract
Background: We previously reported the anti-estrogenic activity of the brown seaweed, Fucus vesiculosus. The present study aimed to further investigate its anti-estrogenic modes of action and to assess other potentially biologically relevant anti-tumorigenic effects in estrogen receptor (ER)-dependent and -independent female cancer cell lines., Methods: The CALUX® assay was used to determine the effect of a F. vesiculosus extract (FVE) on activation of the ER. Aromatase enzymatic activity was measured to determine the potential effect of FVE on estradiol (E2) biosynthesis. Transcriptional activity profiling of 248 genes involved in cancer, immunity, hormonal regulation, protein phosphorylation, transcription, metabolism, and cellular structure was conducted using the NanoString nCounter® analysis system in FVE-treated breast, ovarian and endometrial cancer cell lines. The effects of FVE on cell viability, morphology, membrane integrity, mitochondrial toxicity, induction of apoptotic and autophagic markers, and cell signaling were also analyzed., Results: In co-treatments with 12.5 pM (EC50) E2, FVE (2 %) reduced ER activation by 50 %, exhibiting potent ER antagonistic effects. FVE inhibited aromatase activity in an in vitro assay (IC50 2.0 %). ER-dependent and -independent cancer cell lines showed significantly decreased viability that correlated with increasing FVE concentrations and altered morphological features suggestive of apoptosis and autophagy. Expression of genes that were significantly altered by FVE (p < 0.05) revealed predominantly apoptotic, autophagic and kinase signaling pathways. FVE also effectively inhibited the phosphorylation of Akt, resulting in reduced mTORC1 activities to stimulate autophagy in cells. Concentration-dependent cleavage of PARP and induction of caspase-3 and -7 activities were observed in MDA-MB-231 cells supporting a role for FVE in the promotion of apoptosis., Conclusions: Our study provides new insights into the anti-estrogenic activity of F. vesiculosus. Moreover, the induction of autophagy and apoptosis on breast, endometrial and ovarian cancer cell lines suggests additional anti-tumorigenic actions of FVE that are independent of ER status in female cancers.
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- 2016
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39. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes.
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Machiela MJ, Lan Q, Slager SL, Vermeulen RC, Teras LR, Camp NJ, Cerhan JR, Spinelli JJ, Wang SS, Nieters A, Vijai J, Yeager M, Wang Z, Ghesquières H, McKay J, Conde L, de Bakker PI, Cox DG, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Giles GG, Melbye M, Gu J, Jackson RD, Kane E, Purdue MP, Vajdic CM, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Roos G, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Turner J, Southey MC, 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 BC, Liang L, Park JH, Chung CC, Weisenburger DD, Fraumeni JF Jr, Salles G, Glenn M, Cannon-Albright L, Curtin K, Wu X, Smedby KE, de Sanjose S, Skibola CF, Berndt SI, Birmann BM, Chanock SJ, and Rothman N
- Subjects
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Prospective Studies, Genetic Association Studies methods, Genetic Predisposition to Disease, Lymphoma, B-Cell genetics, Lymphoma, B-Cell pathology, Telomere pathology
- Abstract
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 × 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 × 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 by Oxford University Press 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
- Published
- 2016
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40. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia.
- Author
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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 HO, 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 MD, Vermeulen RCH, Travis RC, Southey MC, Milne RL, Albanes 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 JH, 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
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Apoptosis Regulatory Proteins genetics, Bcl-2-Like Protein 11, Genetic Predisposition to Disease, Humans, Membrane Proteins genetics, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins genetics, Serpins genetics, T-Box Domain Proteins genetics, Genome-Wide Association Study, Leukemia, Lymphocytic, Chronic, B-Cell genetics, White People genetics
- 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
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41. The potential relevance of the endocannabinoid, 2-arachidonoylglycerol, in diffuse large B-cell lymphoma.
- Author
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Zhang J, Medina-Cleghorn D, Bernal-Mizrachi L, Bracci PM, Hubbard A, Conde L, Riby J, Nomura DK, and Skibola CF
- Abstract
Diffuse large B-cell lymphoma is an aggressive, genetically heterogenerous disease and the most common type of non-Hodgkin lymphoma among adults. To gain further insights into the etiology of DLBCL and to discover potential disease-related factors, we performed a serum lipid analysis on a subset of individuals from a population-based NHL case-control study. An untargeted mass-spectrometry-based metabolomics platform was used to analyze serum samples from 100 DLBCL patients and 100 healthy matched controls. Significantly elevated levels of the endocannabinoid, 2-arachidonoylglycerol (2-AG), were detected in the serum of DLBCL patients (121%, P < 0.05). In the male controls, elevated 2-AG levels were observed in those who were overweight (BMI ≥ 25 - < 30 kg/m2; 108%, P < 0.01) and obese (BMI ≥ 30 kg/m(2); 118%, P < 0.001) compared to those with a BMI < 25 kg/m(2). DLBCL cell lines treated with exogenous 2-AG across a range of concentrations, exhibited heterogenous responses: proliferation rates were markedly higher in 4 cell lines by 22%-68% (P < 0.001) and lower in 8 by 20%-75% (P < 0.001). The combined findings of elevated 2-AG levels in DLBCL patients and the proliferative effects of 2-AG on a subset of DLBCL cell lines suggests that 2-AG may play a potential role in the pathogenesis or progression of a subset of DLBCLs.
- Published
- 2016
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42. Identifying risk factors for B-cell lymphoma.
- Author
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Flowers CR and Skibola CF
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- Female, Humans, Male, Coxiella burnetii pathogenicity, Dendritic Cells microbiology, Lymphoma, B-Cell diagnosis, Lymphoma, B-Cell etiology, Macrophages microbiology, Q Fever complications
- Abstract
In this issue of Blood, Melenotte and colleagues provide an interesting and provocative analysis of a potential novel risk factor for B-cell non-Hodgkin lymphoma (NHL).
- Published
- 2016
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43. Genetic susceptibility to diffuse large B-cell lymphoma in a pooled study of three Eastern Asian populations.
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Bassig BA, Cerhan JR, Au WY, Kim HN, Sangrajrang S, Hu W, Tse J, Berndt S, Zheng T, Zhang H, Pornsopone P, Lee JJ, Kim HJ, Skibola CF, Vijai J, Burdette L, Yeager M, Brennan P, Shin MH, Liang R, Chanock S, Lan Q, and Rothman N
- Subjects
- Adult, Aged, Asia, Eastern, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Genetic Predisposition to Disease, Lymphoma, Large B-Cell, Diffuse genetics, Polymorphism, Single Nucleotide, Vesicular Transport Proteins genetics
- Abstract
Objectives: Diffuse large B-cell lymphoma (DLBCL) is an aggressive subtype of non-Hodgkin lymphoma (NHL) and is the most common NHL subtype diagnosed worldwide. The first large-scale genome-wide association study (GWAS) of DLBCL with over 4000 cases conducted among individuals of European ancestry recently identified five independent SNPs that achieved genome-wide significance, and two SNPs that showed a suggestive association with DLBCL risk., Methods: To evaluate whether Eastern Asians and individuals of European ancestry share similar genetic risk factors for this disease, we attempted to replicate these GWAS findings in a pooled series of 1124 DLBCL cases and 3596 controls from Hong Kong, South Korea, and Thailand., Results: Three of the five genome-wide significant SNPs from the DLBCL GWAS were significantly associated with DLBCL in our study population, including the top finding from the GWAS, EXOC2 rs116446171, which achieved genome-wide significance in our data (per allele OR = 2.04, 95% CI = 1.63-2.56; ptrend = 3.9 × 10(-10)). Additionally, we observed a significant association with PVT1 rs13255292 (per allele OR = 1.34, 95% CI = 1.19-1.52; ptrend = 2.1 × 10(-6)), which was the second strongest finding in the GWAS, and with HLA-B rs2523607 (per allele OR = 3.05, 95% CI = 1.32-7.05; ptrend = 0.009)., Conclusions: Our study, which provides the first evaluation in Eastern Asians of SNPs definitively associated with DLBCL risk in individuals of European ancestry, indicates that at least some of the genetic factors associated with risk of DLBCL are similar between these populations., (© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
- Published
- 2015
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44. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.
- Author
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Sampson JN, Wheeler WA, Yeager M, Panagiotou O, Wang Z, Berndt SI, Lan Q, Abnet CC, Amundadottir LT, Figueroa JD, Landi MT, Mirabello L, Savage SA, Taylor PR, De Vivo I, McGlynn KA, Purdue MP, Rajaraman P, Adami HO, Ahlbom A, Albanes D, Amary MF, An SJ, Andersson U, Andriole G Jr, Andrulis IL, Angelucci E, Ansell SM, Arici C, Armstrong BK, Arslan AA, Austin MA, Baris D, Barkauskas DA, Bassig BA, Becker N, Benavente Y, Benhamou S, Berg C, Van Den Berg D, Bernstein L, Bertrand KA, Birmann BM, Black A, Boeing H, Boffetta P, Boutron-Ruault MC, Bracci PM, Brinton L, Brooks-Wilson AR, Bueno-de-Mesquita HB, Burdett L, Buring J, Butler MA, Cai Q, Cancel-Tassin G, Canzian F, Carrato A, Carreon T, Carta A, Chan JK, Chang ET, Chang GC, Chang IS, Chang J, Chang-Claude J, Chen CJ, Chen CY, Chen C, Chen CH, Chen C, Chen H, Chen K, Chen KY, Chen KC, Chen Y, Chen YH, Chen YS, Chen YM, Chien LH, Chirlaque MD, Choi JE, Choi YY, Chow WH, Chung CC, Clavel J, Clavel-Chapelon F, Cocco P, Colt JS, Comperat E, Conde L, Connors JM, Conti D, Cortessis VK, Cotterchio M, Cozen W, Crouch S, Crous-Bou M, Cussenot O, Davis FG, Ding T, Diver WR, Dorronsoro M, Dossus L, Duell EJ, Ennas MG, Erickson RL, Feychting M, Flanagan AM, Foretova L, Fraumeni JF Jr, Freedman ND, Beane Freeman LE, Fuchs C, Gago-Dominguez M, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, García-Closas R, Gascoyne RD, Gastier-Foster J, Gaudet MM, Gaziano JM, Giffen C, Giles GG, Giovannucci E, Glimelius B, Goggins M, Gokgoz N, Goldstein AM, Gorlick R, Gross M, Grubb R 3rd, Gu J, Guan P, Gunter M, Guo H, Habermann TM, Haiman CA, Halai D, Hallmans G, Hassan M, Hattinger C, He Q, He X, Helzlsouer K, Henderson B, Henriksson R, Hjalgrim H, Hoffman-Bolton J, Hohensee C, Holford TR, Holly EA, Hong YC, Hoover RN, Horn-Ross PL, Hosain GM, Hosgood HD 3rd, Hsiao CF, Hu N, Hu W, Hu Z, Huang MS, Huerta JM, Hung JY, Hutchinson A, Inskip PD, Jackson RD, Jacobs EJ, Jenab M, Jeon HS, Ji BT, Jin G, Jin L, Johansen C, Johnson A, Jung YJ, Kaaks R, Kamineni A, Kane E, Kang CH, Karagas MR, Kelly RS, Khaw KT, Kim C, Kim HN, Kim JH, Kim JS, Kim YH, Kim YT, Kim YC, Kitahara CM, Klein AP, Klein RJ, Kogevinas M, Kohno T, Kolonel LN, Kooperberg C, Kricker A, Krogh V, Kunitoh H, Kurtz RC, Kweon SS, LaCroix A, Lawrence C, Lecanda F, Lee VH, Li D, Li H, Li J, Li YJ, Li Y, Liao LM, Liebow M, Lightfoot T, Lim WY, Lin CC, Lin D, Lindstrom S, Linet MS, Link BK, Liu C, Liu J, Liu L, Ljungberg B, Lloreta J, Di Lollo S, Lu D, Lund E, Malats N, Mannisto S, Le Marchand L, Marina N, Masala G, Mastrangelo G, Matsuo K, Maynadie M, McKay J, McKean-Cowdin R, Melbye M, Melin BS, Michaud DS, Mitsudomi T, Monnereau A, Montalvan R, Moore LE, Mortensen LM, Nieters A, North KE, Novak AJ, Oberg AL, Offit K, Oh IJ, Olson SH, Palli D, Pao W, Park IK, Park JY, Park KH, Patiño-Garcia A, Pavanello S, Peeters PH, Perng RP, Peters U, Petersen GM, Picci P, Pike MC, Porru S, Prescott J, Prokunina-Olsson L, Qian B, Qiao YL, Rais M, Riboli E, Riby J, Risch HA, Rizzato C, Rodabough R, Roman E, Roupret M, Ruder AM, Sanjose Sd, Scelo G, Schned A, Schumacher F, Schwartz K, Schwenn M, Scotlandi K, Seow A, Serra C, Serra M, Sesso HD, Setiawan VW, Severi G, Severson RK, Shanafelt TD, Shen H, Shen W, Shin MH, Shiraishi K, Shu XO, Siddiq A, Sierrasesúmaga L, Sihoe AD, Skibola CF, Smith A, Smith MT, Southey MC, Spinelli JJ, Staines A, Stampfer M, Stern MC, Stevens VL, Stolzenberg-Solomon RS, Su J, Su WC, Sund M, Sung JS, Sung SW, Tan W, Tang W, Tardón A, Thomas D, Thompson CA, Tinker LF, Tirabosco R, Tjønneland A, Travis RC, Trichopoulos D, Tsai FY, Tsai YH, Tucker M, Turner J, Vajdic CM, Vermeulen RC, Villano DJ, Vineis P, Virtamo J, Visvanathan K, Wactawski-Wende J, Wang C, Wang CL, Wang JC, Wang J, Wei F, Weiderpass E, Weiner GJ, Weinstein S, Wentzensen N, White E, Witzig TE, Wolpin BM, Wong MP, Wu C, Wu G, Wu J, Wu T, Wu W, Wu X, Wu YL, Wunder JS, Xiang YB, Xu J, Xu P, Yang PC, Yang TY, Ye Y, Yin Z, Yokota J, Yoon HI, Yu CJ, Yu H, Yu K, Yuan JM, Zelenetz A, Zeleniuch-Jacquotte A, Zhang XC, Zhang Y, Zhao X, Zhao Z, Zheng H, Zheng T, Zheng W, Zhou B, Zhu M, Zucca M, Boca SM, Cerhan JR, Ferri GM, Hartge P, Hsiung CA, Magnani C, Miligi L, Morton LM, Smedby KE, Teras LR, Vijai J, Wang SS, Brennan P, Caporaso NE, Hunter DJ, Kraft P, Rothman N, Silverman DT, Slager SL, Chanock SJ, and Chatterjee N
- Subjects
- Adult, Aged, Asian People genetics, Asian People statistics & numerical data, Bone Neoplasms genetics, Female, Humans, Kidney Neoplasms genetics, Leukemia, Lymphocytic, Chronic, B-Cell genetics, Lung Neoplasms etiology, Lung Neoplasms genetics, Lymphoma, Large B-Cell, Diffuse genetics, Male, Middle Aged, Neoplasms etiology, Osteosarcoma genetics, Polymorphism, Single Nucleotide, Smoking adverse effects, Testicular Neoplasms genetics, Tissue Array Analysis, Urinary Bladder Neoplasms etiology, Urinary Bladder Neoplasms genetics, White People genetics, White People statistics & numerical data, Genetic Predisposition to Disease, Genome-Wide Association Study, Neoplasms genetics
- Abstract
Background: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites., Methods: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers., Results: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures., Conclusion: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation., (Published by Oxford University Press 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
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- 2015
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45. Non-Hodgkin Lymphoma, Body Mass Index, and Cytokine Polymorphisms: A Pooled Analysis from the InterLymph Consortium.
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Kane E, Skibola CF, Bracci PM, Cerhan JR, Costas L, Smedby KE, Holly EA, Maynadié M, Novak AJ, Lightfoot TJ, Ansell SM, Smith AG, Liebow M, Melbye M, Morton L, de Sanjosé S, Slager SL, Wang SS, Zhang Y, Zheng T, and Roman E
- Subjects
- Adult, Aged, Cytokines metabolism, Female, Genetic Predisposition to Disease, Humans, Lymphoma, Large B-Cell, Diffuse immunology, Lymphoma, Large B-Cell, Diffuse metabolism, Male, Middle Aged, Retrospective Studies, Risk Factors, Young Adult, Adiposity genetics, Body Mass Index, Cytokines genetics, DNA, Neoplasm genetics, Lymphangiogenesis genetics, Lymphoma, Large B-Cell, Diffuse genetics, Polymorphism, Genetic
- Abstract
Background: Excess adiposity has been associated with lymphomagenesis, possibly mediated by increased cytokine production causing a chronic inflammatory state. The relationship between obesity, cytokine polymorphisms, and selected mature B-cell neoplasms is reported., Method: Data on 4,979 cases and 4,752 controls from nine American/European studies from the InterLymph consortium (1988-2008) were pooled. For diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), joint associations of body mass index (from self-reported height and weight) and 12 polymorphisms in cytokines IL1A (rs1800587), IL1B (rs16944, rs1143627), IL1RN (rs454078), IL2 (rs2069762), IL6 (rs1800795, rs1800797), IL10 (rs1800890, rs1800896), TNF (rs1800629), LTA (rs909253), and CARD15 (rs2066847) were investigated using unconditional logistic regression. BMI-polymorphism interaction effects were estimated using the relative excess risk due to interaction (RERI)., Results: Obesity (BMI ≥ 30 kg/m(2)) was associated with DLBCL risk [OR = 1.33; 95% confidence interval (CI), 1.02-1.73], as was TNF-308GA+AA (OR = 1.24; 95% CI, 1.07-1.44). Together, being obese and TNF-308GA+AA increased DLBCL risk almost 2-fold relative to those of normal weight and TNF-308GG (OR = 1.93; 95% CI, 1.27-2.94), with a RERI of 0.41 (95% CI, -0.05-0.84; Pinteraction = 0.13). For FL and CLL/SLL, no associations with obesity or TNF-308GA+AA, either singly or jointly, were observed. No evidence of interactions between obesity and the other polymorphisms were detected., Conclusions: Our results suggest that cytokine polymorphisms do not generally interact with BMI to increase lymphoma risk but obesity and TNF-308GA+AA may interact to increase DLBCL risk., Impact: Studies using better measures of adiposity are needed to further investigate the interactions between obesity and TNF-308G>A in the pathogenesis of lymphoma., (©2015 American Association for Cancer Research.)
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- 2015
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46. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.
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Vijai J, Wang Z, Berndt SI, Skibola CF, Slager SL, de Sanjose S, Melbye M, Glimelius B, Bracci PM, Conde L, Birmann BM, Wang SS, Brooks-Wilson AR, Lan Q, de Bakker PI, Vermeulen RC, Portlock C, Ansell SM, Link BK, Riby J, North KE, Gu J, Hjalgrim H, Cozen W, Becker N, Teras LR, Spinelli JJ, Turner J, Zhang Y, Purdue MP, Giles GG, Kelly RS, Zeleniuch-Jacquotte A, Ennas MG, Monnereau A, Bertrand KA, Albanes D, Lightfoot T, Yeager M, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Villano DJ, Maria A, Corines M, Thomas T, Novak AJ, Dogan A, Liebow M, Thompson CA, Witzig TE, Habermann TM, Weiner GJ, Smith MT, Holly EA, Jackson RD, Tinker LF, Ye Y, Adami HO, Smedby KE, De Roos AJ, Hartge P, Morton LM, Severson RK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, McKay J, Staines A, Diver WR, Vajdic CM, Armstrong BK, Kricker A, Zheng T, Holford TR, Severi G, Vineis P, Ferri GM, Ricco R, Miligi L, Clavel J, Giovannucci E, Kraft P, Virtamo J, Smith A, Kane E, Roman E, Chiu BC, Fraumeni JF, Wu X, Cerhan JR, Offit K, Chanock SJ, Rothman N, and Nieters A
- Subjects
- Butyrophilins, Computational Biology, Genome-Wide Association Study, Genotype, Humans, Lymphoma, B-Cell, Marginal Zone genetics, Major Histocompatibility Complex genetics, Membrane Glycoproteins genetics, Polymorphism, Single Nucleotide genetics, White People genetics
- Abstract
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
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- 2015
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47. Differential Gene Expression Landscape of Co-Existing Cervical Pre-Cancer Lesions Using RNA-seq.
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Royse KE, Zhi D, Conner MG, Clodfelder-Miller B, Srinivasasainagendra V, Vaughan LK, Skibola CF, Crossman DK, Levy S, and Shrestha S
- Abstract
Genetic changes occurring in different stages of pre-cancer lesions reflect causal events initiating and promoting the progression to cancer. Co-existing pre-cancerous lesions including low- and high-grade squamous intraepithelial lesion (LGSIL and HGSIL), and adjacent "normal" cervical epithelium from six formalin-fixed paraffin-embedded samples were selected. Tissues from these 18 samples were isolated using laser-capture microdissection, RNA was extracted and sequenced. RNA-sequencing generated 2.4 billion raw reads in 18 samples, of which ~50.1% mapped to known and annotated genes in the human genome. There were 40 genes up-regulated and 3 down-regulated (normal to LGSIL) in at least one-third of the sample pairs (same direction and FDR p < 0.05) including S100A7 and KLK6. Previous studies have shown that S110A7 and KLK7 are up-regulated in several other cancers, whereas CCL18, CFTR, and SLC6A14, also differentially expressed in two samples, are up-regulated specifically in cervical cancer. These differentially expressed genes in normal to LGSIL progression were enriched in pathways related to epithelial cell differentiation, keratinocyte differentiation, peptidase, and extracellular activities. In progression from LGSIL to HGSIL, two genes were up-regulated and five down-regulated in at least two samples. Further investigations using co-existing samples, which account for all internal confounders, will provide insights to better understand progression of cervical pre-cancer.
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- 2014
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48. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma.
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Cerhan JR, Berndt SI, Vijai J, Ghesquières H, McKay J, Wang SS, Wang Z, Yeager M, Conde L, de Bakker PI, Nieters A, Cox D, Burdett L, Monnereau A, Flowers CR, De Roos AJ, Brooks-Wilson AR, Lan Q, Severi G, Melbye M, Gu J, Jackson RD, Kane E, Teras LR, Purdue MP, Vajdic CM, Spinelli JJ, Giles GG, Albanes D, Kelly RS, Zucca M, Bertrand KA, Zeleniuch-Jacquotte A, Lawrence C, Hutchinson A, Zhi D, Habermann TM, Link BK, Novak AJ, Dogan A, Asmann YW, Liebow M, Thompson CA, Ansell SM, Witzig TE, Weiner GJ, Veron AS, Zelenika D, Tilly H, Haioun C, Molina TJ, Hjalgrim H, Glimelius B, Adami HO, Bracci PM, Riby J, Smith MT, Holly EA, Cozen W, Hartge P, Morton LM, Severson RK, Tinker LF, North KE, Becker N, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, Lightfoot T, Crouch S, Smith A, Roman E, Diver WR, Offit K, Zelenetz A, Klein RJ, Villano DJ, Zheng T, Zhang Y, Holford TR, Kricker A, Turner J, Southey MC, Clavel J, Virtamo J, Weinstein S, Riboli E, Vineis P, Kaaks R, Trichopoulos D, Vermeulen RC, Boeing H, Tjonneland A, Angelucci E, Di Lollo S, Rais M, Birmann BM, Laden F, Giovannucci E, Kraft P, Huang J, Ma B, Ye Y, Chiu BC, Sampson J, Liang L, Park JH, Chung CC, Weisenburger DD, Chatterjee N, Fraumeni JF Jr, Slager SL, Wu X, de Sanjose S, Smedby KE, Salles G, Skibola CF, Rothman N, and Chanock SJ
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- Chromosome Mapping, Computational Biology, Genome-Wide Association Study, Genotype, Humans, Likelihood Functions, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Lymphoma, Large B-Cell, Diffuse genetics, White People genetics
- Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
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- 2014
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49. A comprehensive evaluation of the role of genetic variation in follicular lymphoma survival.
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Baecklund F, Foo JN, Bracci P, Darabi H, Karlsson R, Hjalgrim H, Rosenquist R, Adami HO, Glimelius B, Melbye M, Conde L, Liu J, Humphreys K, Skibola CF, and Smedby KE
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- Adolescent, Adult, Aged, Female, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Survival Analysis, Young Adult, ATP-Binding Cassette Transporters genetics, Interleukin-8 genetics, Lymphoma, Follicular genetics, Lymphoma, Follicular mortality, Membrane Cofactor Protein genetics
- Abstract
Background: Survival in follicular lymphoma (FL) is highly variable, even within prognostic groups defined by tumor grade and the Follicular Lymphoma International Prognostic Index. Studies suggest that germline single nucleotide polymorphisms (SNPs) may hold prognostic information but further investigation is needed., Methods: We explored the association between SNPs and FL outcome using two approaches: 1) Two independent genome-wide association studies (GWAS) of ~300.000 SNPs followed by a meta-analysis encompassing 586 FL patients diagnosed in Denmark/Sweden 1999-2002 and in the United States 2001-2006; and 2) Investigation of 22 candidate-gene variants previously associated with FL outcome in the Danish/Swedish cohort (N = 373). We estimated time to lymphoma-specific death (approach 1 and 2) and lymphoma progression (approach 2) with hazard ratios (HR) and 95% confidence intervals (CI) in a multivariable Cox regression model., Results: In the GWAS meta-analysis, using a random effects model, no variants were associated with lymphoma-specific death at a genome-wide significant level (p < 5.0 ×10(-8)). The strongest association was observed for tightly linked SNPs on 17q24 near the ABCA10 and ABCA6 genes (rs10491178 HRrandom = 3.17, 95% CI 2.09-4.79, prandom = 5.24 ×10(-8)). The ABCA10 and ABCA6 genes belong to a family of genes encoding for ABC transporter proteins, implicated in multidrug resistance. In line with a previous study, rs2466571 in CD46 (HR = 0.73, 95% CI 0.58-0.91, p = 0.006) showed nominal association with lymphoma progression, as did two highly linked SNPs in IL8 (rs4073 HR = 0.78, 95% CI 0.62-0.97, p = 0.02; rs2227307 HR = 0.75, 95% CI 0.60-0.94, p = 0.01) previously associated with overall survival., Conclusions: The results suggest a possible role for multidrug resistance in FL survival and add to the evidence that genetic variation in CD46 and IL8 may have prognostic implications in FL. Our findings need further confirmation in other independent populations or in a larger multicenter GWAS.
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- 2014
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50. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region.
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Skibola CF, Berndt SI, Vijai J, Conde L, Wang Z, Yeager M, de Bakker PI, Birmann BM, Vajdic CM, Foo JN, Bracci PM, Vermeulen RC, Slager SL, de Sanjose S, Wang SS, Linet MS, Salles G, Lan Q, Severi G, Hjalgrim H, Lightfoot T, Melbye M, Gu J, Ghesquières H, Link BK, Morton LM, Holly EA, Smith A, Tinker LF, Teras LR, Kricker A, Becker N, Purdue MP, Spinelli JJ, Zhang Y, Giles GG, Vineis P, Monnereau A, Bertrand KA, Albanes D, Zeleniuch-Jacquotte A, Gabbas A, Chung CC, Burdett L, Hutchinson A, Lawrence C, Montalvan R, Liang L, Huang J, Ma B, Liu J, Adami HO, Glimelius B, Ye Y, Nowakowski GS, Dogan A, Thompson CA, Habermann TM, Novak AJ, Liebow M, Witzig TE, Weiner GJ, Schenk M, Hartge P, De Roos AJ, Cozen W, Zhi D, Akers NK, Riby J, Smith MT, Lacher M, Villano DJ, Maria A, Roman E, Kane E, Jackson RD, North KE, Diver WR, Turner J, Armstrong BK, Benavente Y, Boffetta P, Brennan P, Foretova L, Maynadie M, Staines A, McKay J, Brooks-Wilson AR, Zheng T, Holford TR, Chamosa S, Kaaks R, Kelly RS, Ohlsson B, Travis RC, Weiderpass E, Clavel J, Giovannucci E, Kraft P, Virtamo J, Mazza P, Cocco P, Ennas MG, Chiu BC, Fraumeni JF Jr, Nieters A, Offit K, Wu X, Cerhan JR, Smedby KE, Chanock SJ, and Rothman N
- Subjects
- Alleles, Case-Control Studies, Haplotypes genetics, Humans, Biomarkers, Tumor genetics, Chromosomes, Human genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, HLA Antigens genetics, Lymphoma, Follicular genetics, Polymorphism, Single Nucleotide genetics
- Abstract
Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk., (Copyright © 2014 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2014
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