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50 citation(s) found for "Albanes, Demetrius".

Inherited variants at 3q13.33 and 3p24.1 are associated with risk of diffuse large B-cell lymphoma and implicate immune pathways
Kleinstern, Geffen , Yan, Huihuang , Berndt, Sonja I. , Ghesquières, Hervé , McKay, James , Wang, Sophia , Nieters, Alexandra, Ye, Yuanqing , Monnereau, Alain , Brooks‐Wilson, Angela , Lan, Qing , Melbye, Mads , Jackson, Rebecca D. , Purdue, Mark P. , Vajdic, Claire M. , Vermeulen, Roel , Cocco, Pier Luigi, Birmann, Brenda M. , Zeleniuch‐Jacquotte, Anne , Crouch, Simon , Sarangi, Vivekananda , Asmann, Yan W. , Offit, Kenneth , Salles, Gilles , Wu, Xifeng , Smedby, Karin E. , Skibola, Christine F., Rothman, Nathaniel , Cocco, Pierluigi , Asmann, Yan, Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Zeleniuch-Jacquotte, Anne , Hildebrandt, Michelle A.T. , Vijai, Joseph , Teras, Lauren R. , Giles, Graham G. , Kraft, Peter , Albanes, Demetrius , Zhang, Yawei , Slager, Susan L. , Chanock, Stephen Jacob , Cerhan, James R.

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Human Molecular Genetics | October 1, 2019 | Volume: 29 | Issue: 1 | Pages: 70-79

10.1093/hmg/ddz228 | PMID 31600786 Get It

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.
Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes
Din, Lennox, Kosaraju, Nikitha , Smedby, Karin E. , Berndt, Sonja I. , Skibola, Christine F., Nieters, Alexandra, Wang, Sophia , McKay, James , Cocco, Pierluigi , Foretová, Lenka , Staines, Anthony , Mack, Thomas M. , Sanjosé, Sílvia de , Vyse, Timothy J. , Padyukov, Leonid , Monnereau, Alain , Arslan, Alan A. , Moore, Amy , Brooks‐Wilson, Angela , Novak, Anne J. , Glimelius, Bengt , Birmann, Brenda M. , Link, Brian K. , Stewart, Carolyn, Vajdic, Claire M. , Magnani, Corrado , Conti, David V. , Cox, David G. , Casabonne, Delphine, Kane, Eleanor , Roman, Eve , Salles, Gilles , Adami, Hans‐Olov , Ghesquières, Hervé , Vivo, Immaculata De , Clavel, Jacqueline , Spinelli, John J., Curtin, Karen , Costenbader, Karen H. , Onel, Kenan , Offit, Kenneth , Morton, Lindsay M. , Conde, Lucía , Miligi, Lucia , Melbye, Mads , Liebow, Mark , Purdue, Mark P. , Glenn, Martha, Din, M. Azhar Ud, Rothman, Nathaniel , Camp, Nicola J. , Doo, Nicole Wong , Becker, Nikolaus, Pradhan, Nisha , Bracci, Paige M. , Vineis, Paolo , Brennan, Paul , Kraft, Peter , Lan, Qing , Severson, Richard K., Vermeulen, Roel , Kaaks, Rudolph, Travis, Ruth C. , Weinstein, Stephanie J. , Ansell, Stephen M. , Zheng, Tongzhang, Benavente, Yolanda , Taub, Zachary, Madireddy, Lohith, Gourraud, Pierre‐Antoine , Oksenberg, Jorge R. , Hjalgrim, Henrik , Khankhanian, Pouya , Cerhan, James R , Khankhanian, Pouya , Link, Brian K , Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Kane, Eleanor , Arslan, Alan A , Travis, Ruth C , De Vivo, Immaculata , Kraft, Peter , Morton, Lindsay M , Padyukov, Leonid , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Roman, Eve , Clavel, Jacqueline , Conti, David V , Doo, Nicole Wong , Sheikh, Mohammad, Bernatsky, Sasha , Maynadié, Marc , Haïoun, Corinne , Casabonne, Delphine , Albanes, Demetrius , Muzi, Giacomo , Giles, Graham G. , Cerhan, James R. , Hofmann, Jonathan N. , Vijai, Joseph , Teras, Lauren R. , Ennas, Maria Grazia , Southey, Melissa C. , Boffetta, Paolo , Milne, Roger L. , Chanock, Stephen Jacob , Slager, Susan L. , Zhang, Yawei , Cozen, Wendy

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Genetic Epidemiology | August 13, 2019 | Volume: 43 | Issue: 7 | Pages: 844-863

10.1002/gepi.22242 | PMID 31407831 Get It

AbstractEpidemiologic 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.
Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study
Adams, Charleen D. , Richmond, Rebecca C. , Ferreira, Diana L. Santos , Spiller, Wes , Tan, Vanessa Y. , Würtz, Peter , Donovan, Jenny , Hamdy, Freddie C. , Neal, David E. , Lane, J. Athene , Smith, George Davey , Relton, Caroline L. , Eeles, Rosalind A. , Haiman, Christopher A. , Schumacher, Fredrick R. , Olama, Ali Amin Al , Benlloch, Sara, Muir, Kenneth , Berndt, Sonja I., Conti, David V. , Gapstur, Susan M. , Stevens, Victoria L. , Batra, Jyotsna , Grönberg, Henrik , Pashayan, Nora , Schleutker, Johanna , West, Catharine , Mucci, Lorelei A. , Koutros, Stella , Sørensen, Karina D. , Mæhle, Lovise, Travis, Ruth C. , Rosenstein, Barry S. , Lu, Yong‐Jie , Kibel, Adam S. , Vega, Ana , Stanford, Janet L. , Nordestgaard, Børge G. , Maier, Christiane, Kim, Jeri , John, Esther M. , Teixeira, Manuel R. , Newcomb, Lisa F., Lessel, Davor , Kaneva, Radka , Usmani, Nawaid , Claessens, Frank , Townsend, Paul A. , Dominguez, Manuela Gago, Roobol, Monique J. , Ménégaux, F. , Pandha, Hardev , Thibodeau, Stephen N. , Martin, Richard M. , Teixeira, Manuel R , Vega, Ana , Eeles, Rosalind A , John, Esther M , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Lessel, Davor , Koutros, Stella , Martin, Richard M , Conti, David V , Batra, Jyotsna , Davey Smith, George , Zheng, Jie , Kote‐Jarai, Zsofia , Berndt, Sonja I. , Wiklund, Fredrik E. , Chanock, Stephen Jacob , Tangen, Catherine M. , Clements, Judith A. , Albanes, Demetrius , Wolk, Alicja , Cancel‐Tassin, Géraldine , Hamilton, Robert J , Ingles, Sue A. , Giles, Graham G. , Kogevinas, Manolis , Penney, Kathryn , Park, Jong Y. , Cybulski, Cezary , Brenner, Hermann , Neuhausen, Susan L. , Ruyck, Kim De , Razack, Azad Hassan Abdul , Khaw, Kay‐Tee , Cannon‐Albright, Lisa , Claessens, Frank

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Cancer Epidemiology, Biomarkers & Prevention | October 23, 2018 | Volume: 28 | Issue: 1 | Pages: 208-216

10.1158/1055-9965.epi-18-0079 | PMID 30352818 Get It

Abstract Background: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer–metabolite associations using two-sample Mendelian randomization (MR). Methods: The case–control portion of the study was conducted in nine UK centers with men ages 50–69 years who underwent prostate-specific antigen screening for prostate cancer within the Prostate Testing for Cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. Results: Thirty-five metabolites were strongly associated with prostate cancer (P < 0.0014, multiple-testing threshold). These fell into four classes: (i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); (ii) fatty acids and ratios; (iii) amino acids; (iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal. Conclusions: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk. Impact: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.
Abstract 221: Inherited variants at 3q13.33 and 3p24.1 influences risk of diffuse large B-cell lymphoma
Hildebrand, Michelle, Berndt, Sonja I. , Ghesquières, Hervé , McKay, James , Nieters, Alexandra, Cox, D. F., Monnereau, Alain , Brooks‐Wilson, Angela , Lan, Qing , Jackson, Rebecca D. , Crouch, Simon , Wu, Xifeng , Smedby, Karin E. , Salles, Gilles , Skibola, Christine F., Rothman, Nathaniel , Brooks-Wilson, Angela R , Salles, Gilles A , Kleinstern, Geffen , Vijai, Joseph , Wang, Sophia , Cox, David, Melbye, Mads , Teras, Lauren R. , Purdue, Mark P. , Vajdic, Claire M. , Albanes, Demetrius , Zeleniuch‐Jacquotte, Anne , Zhang, Yawei , Slager, Susan L. , Chanock, Stephen Jacob , Cerhan, James R.

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Cancer Research | August 17, 2018 | Volume: 78 | Issue: 13_Supplement | Pages: 221-221

10.1158/1538-7445.am2018-221 Get It

Abstract Background: We previously identified 5 SNPs at 4 susceptibility loci for diffuse large B-cell lymphoma (DLBCL) in individuals of European ancestry through a large genome-wide association study (Cerhan et al, Nat Gen 2014;46:1233-8); however, much of the heritability remains unexplained. To further elucidate genetic susceptibility to DLBCL, we sought to validate 2 loci at 3q13.33 and 3p24.1 that were suggestive in the original report. Methods: We selected two SNPs rs9831894 (3q13.33) and rs6773363 (3p24.1) for de novo replication from studies at the Mayo Clinic, MD Anderson, and Memorial Sloan Kettering. Logistic regression was used to estimate odds ratios (ORs), using a log-additive model, and adjusting for age, gender and significant eigenvectors for each genotyping center separately. For both SNPs, we then conducted a meta-analysis of all replication studies (n=3) and our original GWAS studies (n=4), encompassing in total 5662 cases and 9237 controls for rs9831894, and 5510 cases and 12,817 controls for rs6773363. Meta-analysis was conducted using the fixed-effects inverse variance method based on the β estimates and standard errors from each study. Results: In a meta-analysis of the 4 original GWAS scans (3856 cases and 7666 controls), rs9831894 (MAF=0.40) was associated with DLBCL risk (OR=0.84, P=4.52 x 10-9) and this replicated in a meta-analysis of the 3 studies with de novo genotyping (OR=0.80, P=4.17 x 10-5); the overall meta-analysis showed a strong association with DLBCL risk (OR=0.83, P=3.62 x 10-13). This locus maps near a plausible candidate gene, CD86, a protein coding gene and a member of the immunoglobulin superfamily that encodes a type I membrane protein. Binding of CD86 with cytotoxic T-lymphocyte-associated protein 4 negatively regulates T-cell activation and diminishes the immune response, while binding of CD86 with CD28 antigen is a costimulatory signal for activation of the T-cell. In a meta-analysis of the same 4 GWAS scans, rs6773363 (MAF=0.45) was tentatively associated with DLBCL risk (OR=1.17, P= 3.68 x 10-7) and this replicated in a meta-analysis of the studies with de novo genotyping (OR=1.27, P=3.78 x 10-7); the overall meta-analysis showed a strong association with DLBCL risk (OR=1.20, P=2.31 x 10-12). This locus also maps near a plausible candidate gene, eomesodermin (EOMES), a transcription factor crucial for embryonic development of the central nervous system and also putatively involved in T-cell differentiation in viral infection defense. Conclusion: In this follow-up analysis of our initial GWAS, we have identified two additional loci associated with risk of DLBCL, the most common lymphoma subtype. These loci provide additional evidence for the role of immune function in the etiology of DLBCL. Citation Format: Geffen Kleinstern, Michelle Hildebrand, Vijai Joseph, Sonja I. Berndt, Hervé Ghesquières, James McKay, Sophia S. Wang, Alexandra Nieters, David Cox, Alain Monnereau, Angela R. Brooks-Wilson, Qing Lan, Mads Melbye, Rebecca D. Jackson, Lauren R. Teras, Mark P. Purdue, Claire M. Vajdic, Demetrius Albanes, Anne Zeleniuch-Jacquotte, Simon Crouch, Yawei Zhang, Susan L. Slager, Xifeng Wu, Karin E. Smedby, Gilles Salles, Christine F. Skibola, Nathaniel Rothman, Stephen J. Chanock, James R. Cerhan. Inherited variants at 3q13.33 and 3p24.1 influences risk of diffuse large B-cell lymphoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 221.
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh, Naomi , Hyland, Paula L. , Yang, Qi , Childs, Erica J., Collins, Irene , Wang, Zhaoming , Arslan, Alan A. , Bracci, Paige M. , Brennan, Paul , Canzian, Federico , Gallinger, Steven , Goodman, Gary E. , Goodman, Phyllis J. , Hung, Rayjean J, Kurtz, Robert C. , Scélo, Ghislaine , Shu, Xiao Ou , Visvanathan, Kala , consortia, PanScan and PanC4, Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Borgida, Ayelet , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Chaffee, Kari G. , Foretová, Lenka , Fuchs, Charles S. , Gaziano, J. Michael , Giovannucci, Edward, Hackert, Thilo , Haiman, Christopher A. , Hartge, Patricia, Hasan, Manal , Helzlsouer, Kathy J., Herman, Joseph M. , Holly, Elizabeth A., Hoover, Robert N. , Hung, Rayjean J, Janout, Vladimí­r , Klein, Eric A. , Laheru, Daniel A. , Lee, I‐Min , Oberg, Ann L. , Patel, Alpa V. , Peters, Ulrike , Porta, Miquel , Real, Francisco X. , Rothman, Nathaniel , Sesso, Howard D. , Strobel, Oliver , Thornquist, Mark, Wactawski‐Wende, Jean , Wareham, Nick, Weiderpass, Elisabete , Wentzensen, Nicolas , Wheeler, William, Zeleniuch‐Jacquotte, Anne , Kraft, Peter , Li, Donghui , Jacobs, Eric J. , Petersen, Gloria M. , Wolpin, Brian M. , Rabe, Kari G. , Hung, Rayjean J. , Cleary, Sean, Weiderpass, Elisabete , Arslan, Alan A , Canzian, Federico , Hung, Rayjean J , Wactawski-Wende, Jean , Wang, Zhaoming , Visvanathan, Kala , Klein, Eric A , Strobel, Oliver , Kraft, Peter , Porta, Miquel , Real, Francisco X , Zeleniuch-Jacquotte, Anne , Zhang, Han , Mocci, Evelina , Zhang, Mingfeng , Freeman, Laura E. Beane , Duell, Eric J. , Giles, Graham G. , Goggins, Michael , Hung, Rayjean J, Kooperberg, Charles , Malats, Núria , Marchand, Loı̈c Le , Neale, Rachel Ε. , Olson, Sara H. , Van Den Eeden, Stephen K , White, Emily , Zheng, Wei , consortia, PanScan and PanC4, Albanes, Demetrius , Bamlet, William R. , Boutron‐Ruault, Marie‐Christine , Brais, Lauren K , Chanock, Stephen Jacob , Cleary, Sean P. , Cotterchio, Michelle , Holcátová, Ivana , Hung, Rayjean J, Lu, Lingeng , Männistö, Satu , Milne, Roger L. , Orlow, Irene , Rothman, Nathaniel , Severi, Gianluca , Silverman, Debra T. , Sund, Malin , Tobias, Geoffrey S. , Wareham, Nick, Yu, Kai , Risch, Harvey A. , Ámundadóttir, Laufey T. , Yu, Kai , Klein, Alison P. , Stolzenberg‐Solomon, Rachael Z.

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JNCI: Journal of the National Cancer Institute | August 15, 2018 | Volume: 111 | Issue: 6 | Pages: 557-567

10.1093/jnci/djy155 | PMID 30541042 Get It

Sex-specific gene and pathway modeling of inherited glioma risk
Ostrom, Quinn T. , COLEMAN, WARREN, Lathia, Justin D. , Liao, Peter, Wrensch, Margaret , Eckel‐Passow, Jeanette E. , Armstrong, Georgina , Rice, Terri, McCoy, Lucie , Hansen, Helen M. , Bernstein, Jonine L. , Claus, Elizabeth B. , Houlston, Richard S. , Jenkins, Robert B. , Johansen, Christoffer , Lai, Rose , Merrell, Ryan , Sadetzki, Siegal , Schildkraut, Joellen M. , Shete, Sanjay , Andersson, Ulrika , Rajaraman, Preetha , Linet, Martha S. , Wang, Zhaoming , Bracci, Paige M. , Molinaro, Annette M. , Pezmecki, M, Prados, Michael D. , Smirnov, Ivan, Wiemels, Joseph L. , Zheng, Shichun, Visvanathan, Kala , Stevens, Victoria L. , Henriksson, Roger , Feychting, Maria , Ahlbom, Anders , Milne, Graham G Giles Roger, McKean‐Cowdin, Roberta , Stampfer, Meir J. , Ruder, Avima M., Hallmans, Göran , Gaziano, J. Michael , Sesso, Howard D. , Purdue, Mark P. , Peters, Ulrike , Buring, Julie E. , Melin, Beatrice , Bondy, Melissa L. , Barnholtz‐Sloan, Jill S. , Houlston, Richard S , Barnholtz-Sloan, Jill S , Wang, Zhaoming , Visvanathan, Kala , Coleman, Warren, Huang, William Y. C. , Rubin, Joshua B , Berens, Michael E. , Speyer, Gil , Armstrong, Georgina , Wiencke, John K. , Amos, Christopher I. , Il’yasova, Dora , Lachance, Daniel Honore , Olson, Sara H. , Chanock, Stephen Jacob , Yeager, Meredith , Berger, Mitchel S. , Chang, Stephen , Clarke, Jennifer , Molinaro, Annette M. , Perry, Arie , Tihan, Tarık , Walsh, Kyle M. , Freeman, Laura E. Beane , Koutros, Stella , Albanes, Demetrius , Michaud, Dominique S. , Marchand, Loı̈c Le , Carreón, Tania , Zeleniuch‐Jacquotte, Anne , White, Emily , Ostrom, Quinn T

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Neuro-Oncology | August 8, 2018 | Volume: 21 | Issue: 1 | Pages: 71-82

10.1093/neuonc/noy135 | PMID 30124908 Get It

HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes
Wang, Sophia , Carrington, Mary , Berndt, Sonja I. , Bracci, Paige M. , Smedby, Karin E. , Hjalgrim, Henrik , Vijai, Joseph , Morton, Lindsay M. , Vermeulen, Roel , Paltiel, Ora , Vajdic, Claire M. , Linet, Martha S. , Nieters, Alexandra , Sanjosé, Sílvia de, Brown, Elizabeth E. , Turner, Jennifer , Spinelli, John J., Zheng, Tongzhang, Birmann, Brenda M. , Flowers, Christopher R. , Becker, Nikolaus, Holly, Elizabeth A., Kane, Eleanor , Weisenburger, Dennis D. , Cocco, Pierluigi, Weinstein, Stephanie J. , Diver, W. Ryan , Lax, S. , Travis, Ruth C., Kaaks, Rudolph, Ríboli, Elio , Benavente, Yolanda , Brennan, Paul, McKay, James , Delfau‐Larue, Marie‐Hélène , Link, Brian K. , Magnani, Corrado , Latte, Giancarlo, Doo, Nicole Wong , Offit, Kenneth , Musinsky, Jacob, Arslan, Alan A. , Purdue, Mark P. , Adami, Hans‐Olov , Melbye, Mads , Glimelius, Bengt , Conde, Lucía , Camp, Nicola J. , Glenn, Martha, Curtin, Karen , Clavel, Jacqueline , Monnereau, Alain, Cox, David G. , Ghesquières, Hervé , Salles, Gilles , Bofetta, Paulo, Foretová, Lenka , Staines, Anthony , Davis, S. Scott , Severson, Richard K., Lan, Qing , Brooks‐Wilson, Angela , Smith, Martyn T. , Roman, Eve , Kricker, Anne , Zhang, Yawei , Kraft, Peter , Rothman, Nathaniel , Hartge, Patricia, Skibola, Christine F., Cocco, Pierluigi , Travis, Ruth C. , Monnereau, Alain , Turner, Jennifer , Weinstein, Stephanie J , Link, Brian K , Joseph, Vijai , Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Kane, Eleanor , Arslan, Alan A , Travis, Ruth C , Kraft, Peter , Morton, Lindsay M , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Roman, Eve , Clavel, Jacqueline , Riboli, Elio , Slager, Susan L. , Voutsinas, Jenna M. , Cerhan, James R. , Cozen, Wendy , Maynadié, Marc , Albanes, Demetrius , Teras, Lauren R. , Ennas, Maria Grazia , Feldman, Andrew L. , Giles, Graham G. , Southey, Melissa C. , Milne, Roger L. , Chanock, Stephen Jacob , Doo, Nicole Wong

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Cancer Research | May 7, 2018 | Volume: 78 | Issue: 14 | Pages: 4086-4096

10.1158/0008-5472.can-17-2900 | PMID 29735552 Get It

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.
Novel Common Genetic Susceptibility Loci for Colorectal Cancer
Schmit, Stephanie L. , Edlund, Christopher K., Schumacher, Fredrick R. , Harrison, Tabitha A. , Huyghe, Jeroen R. , Qu, Chenxu, Melas, Marilena , Berg, David Van Den , Wang, Hansong, Tring, Stephanie, Plummer, Sarah J. , Alonso, M. Henar , Anton, Kristen , Aragaki, Aaron K. , Arndt, Volker , Barry, Elizabeth L. , Berndt, Sonja I. , Bloomer, Amanda M. , Boehm, Juergen , Brenner, Hermann , Brezina, Stefanie , Buchanan, Daniel D. , Butterbach, Katja, Caan, Bette J. , Carlson, Christopher S. , Castelao, Jose E. , Chang‐Claude, Jenny , Cheng, Ya‐Wen , Chin, Lee Soo, Church, Timothy R. , Correa, Marcia Cruz, Curtis, Keith R. , Duggan, David , Easton, Douglas F. , English, Dallas R. , Fischer, Rocky, Fritsche, Lars G. , Fuchs, Charles S. , Gago-Domínguez, Manuela , Gala, Manish , Gallinger, Steven , Gauderman, W. James, Giovannucci, Edward L. , Gogarten, Stephanie M. , González‐Villalpando, Clicerio, Gonzalez-Villalpando, Elena M., Greenson, Joel K. , Gsur, Andrea , Gunter, Marc J. , Haiman, Christopher A. , Hampe, Jochen , Harlid, Sophia , Harju, John F., Hayes, Richard B. , Hofer, Philipp , Hoffmeister, Michael , Huang, Shu-Chen, Huerta, José María , Hunter, David J., Idos, Gregory , Jackson, Rebecca D. , Jacobs, Eric J. , Jee, Sun Ha , Jenkins, Mark A. , Jia, Wei-Hua , Jiao, Shuo , Joshi, Amit D. , Kolonel, Laurence N. , Kono, Suminori , Krogh, Vittorio , Küehn, Tilman, Küry, Sébastien , LaCroix, Andrea Z. , Laurie, Cecelia , Lejbkowicz, Flavio, Lemire, Mathieu , Lenz, Heinz‐Josef , Levine, David , Li, Li , Lindor, Noralane M. , Liu, Yun-Ru, Lu, Yingchang , Luh, Frank , Ma, Jing , Mancao, Christoph , Manion, Frank J. , Markowitz, Sanford D. , Martín, Vicente , Matsuo, Keitaro , McDonnell, Kevin , McNeil, Caroline E, Murphy, Neil , Offit, Kenneth, Omichessan, Hanane , Cotoré, Jesús Paredes, Pérez‐Mayoral, Julyann, Rennert, Gad , Rennert, Hedy S., Riggs, Bridget M., Schafmayer, Clemens, Sellers, Thomas A. , Seminara, Daniela, Shibata, David , Siegel, Erin M. , Slattery, Martha L. , Stintzing, Sebastian , Taverna, Darin, Thibodeau, Stephen N. , Thomas, Duncan C. , Trichopoulou, Antonia , Duijnhoven, Fränzel J.B. van , Guelpan, Bethany van, Virtamo, Jarmo, Weinstein, Stephanie J. , Win, Aung Ko , Woods, Michael O. , Wu, Anna H. , Wu, Kana , Xiang, Yong-Bing , Zanke, Brent W., Zeng, Yi-Xin , Zhang, Ben , Zubair, Niha, Figueiredo, Jane C. , Lindblom, Annika , Moreno, Vı́ctor , Peters, Ulrike , Conti, David V. , Gruber, Stephen B. , Kühn, Tilman , Buchanan, Daniel D , Win, Aung K , Rennert, Gad , Hoffmeister, Michael , Arndt, Volker , English, Dallas R , Martín, Vicente , Moreno, Victor , Gunter, Marc J , Jenkins, Mark A , Van Den Berg, David J , Harrison, Tabitha A , Matsuo, Keitaro , Kury, Sebastien , Brenner, Hermann , Gago-Dominguez, Manuela , Hampe, Jochen , Murphy, Neil , Hayes, Richard B , Brezina, Stefanie , Conti, David V , Gong, Jian Feng , Albanes, Demetrius , Amos, Christopher I. , Bezieau, Stéphane , Bien, Stephanie A. , Boutron‐Ruault, Marie‐Christine , Campbell, Peter T. , Chan, Andrew T. , Chanock, Stephen Jacob , Cheng, Iona C. , Church, James M. , Coetzee, Gerhard A. , Cotterchio, Michelle , Feskens, Edith J. M. , FitzGerald, Liesel M. , Fortini, Barbara K. , Giles, Graham G. , Grady, William M. , Hopper, John L. , Hudson, Thomas J , Iwasaki, Motoki , Kooperberg, Charles , Li, Christopher I , Lieb, Wolfgang , Lin, Yi , Liu, Yun‐Ru , Loupakis, Fotios , Matsuda, Koichi , McNeil, Caroline E, Milne, Roger L. , Molina, Antonio José , Mukherjee, Bhramar , Newcomb, Polly A. , Palli, Domenico , Pharoah, Paul D.P. , Potter, John D. , Qu, Conghui , Raskin, Leon , Schoen, Robert E. , Severi, Gianluca , Shi, Wei , Shu, Xiao‐Ou , Southey, Melissa C. , Stadler, Zsofia , Stern, Mariana Carla , Tsugane, Shoichiro , Ulrich, Cornelia M. , Vijai, Joseph , White, Emily E. , Wolk, Alicja , Yen, Yun , Kweon, Sun-Seog , Zheng, Wei , Marchand, Loı̈c Le , Casey, Graham , Church, Timothy R , Caan, Bette J , Lindblom, Annika

Mayo Clinic

JNCI: Journal of the National Cancer Institute | April 30, 2018 | Volume: 111 | Issue: 2 | Pages: 146-157

10.1093/jnci/djy099 | PMID 29917119 Get It

Abstract Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10−8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery–replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10−8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10−8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma
García, Héctor Alexander Velásquez , Spinelli, John J., Gaffney, Patrick M. , Smedby, Karin E. , Wang, Sophia , Adami, Hans‐Olov , Angelucci, Emanuele , Ansell, Stephen M. , Asmann, Yan W. , Becker, Nikolaus, Benavente, Yolanda , Berndt, Sonja I. , Bertrand, Kimberly A. , Birmann, Brenda M. , Boeing, Heiner , Bracci, Paige M. , Brennan, Paul , Brooks‐Wilson, Angela , Clavel, Jacqueline , Conde, Lucía , Cotenbader, Karen H, Cox, David G. , Crouch, Simon , Roos, Anneclaire J. De , Sanjosé, Sílvia de , Lollo, Simonetta Di, Diver, W. Ryan , Foretová, Lenka , Ghesquières, Hervé , Glimelius, Bengt , Haïoun, Corinne , Hartge, Patricia, Hjalgrim, Henrik , Holford, Theodore R. , Holly, Elizabeth A., Jackson, Rebecca D. , Kaaks, Rudolph, Kane, Eleanor , Klein, Robert J. , Kraft, Peter , Kricker, Anne , Lan, Qing , Lawrence, Charles , Liebow, Mark , Lightfoot, Tracy, Link, Brian K. , Maynadié, Marc, McKay, James , Melbye, Mads , Molina, Thierry Jo , Monnereau, Alain , Morton, Lindsay M. , Nieters, Alexandra, Novak, Anne J. , Offit, Kenneth , Purdue, Mark P. , Rais, Marco, Riby, Jacques, Roman, Eve , Rothman, Nathaniel , Salles, Gilles , Severi, Gianluca , Severson, Richard K., Skibola, Christine F., Smith, Martyn T. , Southey, Melissa C. , Staines, Anthony , Thompson, Carrie A. , Tilly, Hervé , Tinker, Lesley F. , Tjønneland, Anne , Turner, Jennifer , Vajdic, Claire M. , Vermeulen, Roel , Vijai, Joseph , Vineis, Paolo , Virtamo, Jarmo, Wang, Zhaoming , Weinstein, Stephanie J. , Zheng, Tongzhang, Zucca, Mariagrazia, Clarke, Ann E. , Smith, Alexandra , Bertrand, Kimberly A , Turner, Jennifer , Link, Brian K , Joseph, Vijai , Southey, Melissa C , Brooks-Wilson, Angela R , Vajdic, Claire M , Kane, Eleanor , Tjønneland, Anne , Wang, Zhaoming , Severi, Gianluca , Kraft, Peter , Morton, Lindsay M , De Roos, Anneclaire J , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Roman, Eve , Clavel, Jacqueline , Smith, Alexandra , Bernatsky, Sasha , Ramsey‐Goldman, Rosalind , Albanes, Demetrius , Boffetta, Paolo , Cerhan, James R. , Chanock, Stephen Jacob , Cozen, Wendy , Doǧan, Ahmet , Giles, Graham G. , Habermann, Thomas M. , Kelly, Rachel S. , North, Kari E. , Slager, Susan L. , Smith, Alex, Teras, Lauren R. , Witzig, Thomas E. , Zelenetz, Andrew D. , Zeleniuch‐Jacquotte, Anne , Zhang, Yawei , Angelucci, Emanuele , Klein, Robert

Mayo Clinic

Lupus Science & Medicine | November 13, 2017 | Volume: 4 | Issue: 1 | Pages: e000187

10.1136/lupus-2016-000187 | PMID 29214033 Get It

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.