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20 citation(s) found for "Zhang, Yawei".

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.

Mayo Clinic

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.
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.
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

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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.
Non-Hodgkin Lymphoma, Body Mass Index, and Cytokine Polymorphisms: A Pooled Analysis from the InterLymph Consortium
Kane, Eleanor , Skibola, Christine F., Bracci, Paige M. , Costas, Laura , Smedby, Karin E. , Holly, Elizabeth A., Novak, Anne J. , Lightfoot, Tracy, Ansell, Stephen M. , Smith, Alex, Liebow, Mark , Melbye, Mads , Morton, Lindsay M. , Sanjosé, Sílvia de , Wang, Sophia , Zheng, Tongzhang, Roman, Eve , Smith, Alexandra , Cerhan, James R. , Maynadié, Marc , Slager, Susan L. , Zhang, Yawei , Kane, Eleanor , Morton, Lindsay M , Wang, Sophia S , Roman, Eve , Smith, Alexandra

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Cancer Epidemiology, Biomarkers & Prevention | May 11, 2015 | Volume: 24 | Issue: 7 | Pages: 1061-1070

10.1158/1055-9965.epi-14-1355 | PMID 25962811 Get It

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/m2) 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. Cancer Epidemiol Biomarkers Prev; 24(7); 1061–70. ©2015 AACR.
Abstract LB-272: Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma
Berndt, Sonja I. , Ghesquières, Hervé , McKay, James , Nieters, Alexandra, Monnereau, Alain , Flowers, Christopher R. , Lan, Qing , Severi, Gianluca , Jackson, Rebecca D. , Zeleniuch‐Jacquotte, Anne , Crouch, Simon , Vineis, Paolo , Smedby, Karin E. , Salles, Gilles , Skibola, Christine F., Rothman, Nathaniel , Cerhan, James R. , Vijai, Joseph , Wang, Sophia , Wang, Zhaoming , Yeager, Meredith , Cox, David G. , Roos, Anneclaire J. De , Brooks‐Wilson, Angela , Melbye, Mads , Teras, Lauren R. , Purdue, Mark P. , Vajdic, Claire M. , Albanes, Demetrius , Bertrand, Kimberly A. , Zhang, Yawei , Slager, Susan L. , Chanock, Stephen Jacob , Severi, Gianluca , Salles, Gilles A , Zeleniuch-Jacquotte, Anne

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Cancer Research | May 1, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: LB-272-LB-272

10.1158/1538-7445.am2014-lb-272 Get It

Abstract Background: Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. Relatives of DLBCL patients are at elevated risk for DLBCL. In small genome-wide association studies (GWAS) in which all NHL subtypes were combined, no conclusive loci for DLBCL have been previously identified in individuals of European background, whereas a recent study conducted in East Asia identified a locus at 3q27. Methods: To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of three new GWAS and one prior scan, totaling 3,857 DLBCL cases and 7,666 controls of European ancestry. Imputation was used to combine all the data using the 1000 Genomes Project release v3 and IMPUTE2. Based on these findings, we selected 6 promising SNPs for genotyping in an additional 202 cases and 3,431 controls, which were then included in a second meta-analysis. SNPTEST was used to estimate odds ratios (ORs), using the additive model and adjusting for age, gender and significant eigenvectors. Results: In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; OR=2.33, P=1.60x10-20), rs13255292 and rs4733601 at 8q24.21 (PVT1; OR=1.23, P=4.86x10-12 and OR=1.18, P=1.63x10-8, respectively), rs2523607 at 6p21.33 (HLA-B; OR=1.34, 3.35x10-9) and rs2681416 at 3q13.33 (CD86; OR=1.20, P=6.04x10-9). The two 8q24.21 SNPs displayed minimal linkage disequilibrium (r2=0.03) and conditional analysis supported their independence. We did not observe a notable signal for a locus previously reported for DLBCL on 3q27 in East Asia, rs6773854 (OR=1.06, P=0.81). We estimated that common SNPs, including but not limited to the loci discovered in this study, explain approximately 16% of the variance for DLBCL risk overall. Discussion: The susceptibility locus at 6p25.3 maps near a plausible DLBCL candidate gene, EXOC2 (exocyst complex component 2), which interacts with Ral proteins, and disruption of the Ral-exocyst regulatory node impacts cellular and developmental processes associated with malignant transformation and progression. The two 8q24.21 variants are approximately 1Mb telomeric to the 8q24 region linked with multiple cancers including CLL. Both variants are positioned in close proximity to PVT1, which is a non-coding RNA implicated in the MYC activation, and MYC is known to be deregulated in some DLBCLs. The locus at 3q13.33 maps to CD86 (B7-2), a B-7 family member that along with CD80 (B7-1) is essential in cognate interactions between T- and B-lymphocytes; both play key roles in immunodeficiency, autoimmune diseases, and in anti-tumor immunity. Finally, we had multiple signals in the HLA region, the strongest of which was at 6p21.33 near HLA-B. HLA-B encodes the HLA class I heavy chain paralogue, which heterodimerizes with a light chain (β2 microglobulin) and plays a central role in presenting intracellularly processed self or foreign antigens to CD8+ cytotoxic T lymphocytes. Class I molecules have been extensively linked to the risk of a variety of immune-mediated diseases and cancers including DLBCL. Conclusions: These data provide substantial new evidence for genetic susceptibility to this B-cell malignancy, and point towards pathways involved in immune recognition and immune function in the pathogenesis of DLBCL. Citation Format: James R. Cerhan, Sonja I. Berndt, Joseph Vijai, Hervé Ghesquières, James McKay, Sophia S. Wang, Zhaoming Wang, Meredith Yeager, Alexandra Nieters, David Cox, Alain Monnereau, Christopher Flowers, Anneclaire J. De Roos, Angela R. Brooks-Wilson, Qing Lan, Gianluca Severi, Mads Melbye, Rebecca D. Jackson, Lauren R. Teras, Mark Purdue, Claire Vajdic, Demetrius Albanes, Kimberly A. Bertrand, Anne Zeleniuch-Jacquotte, Simon Crouch, Yawei Zhang, Paolo Vineis, Susan L. Slager, Karin E. Smedby, Gilles Salles, Christine F. Skibola, Nathaniel Rothman, Stephen J. Chanock, on behalf of the NHL GWAS Project. Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-272. doi:10.1158/1538-7445.AM2014-LB-272
Abstract 5072: Meta-analysis of genome-wide association studies identifies novel susceptibility loci for follicular lymphoma
Skibola, Christine F., Berndt, Sonja I. , Bakker, Paul I. W. de , McKay, James , Bracci, Paige M. , Nieters, Alexandra, Lan, Qing , Linet, Martha S. , Spinelli, John J., Purdue, Mark P. , Yaeger, Meredith, Sanjosé, Silvia de, Monnereau, Alain , Crouch, Simon , Hjalgrim, Henrik , Severi, Gianluca , Smedby, Karin E. , Rothman, Nathaniel , Cerhan, James R. , Wang, Zhaoming , Vijai, Joseph , Conde, Lucía , Wang, Sophia , Vajdic, Claire M. , Birmann, Brenda M. , Slager, Susan L. , Brooks‐Wilson, Angela , Albanes, Demetrius , Vermeulen, Roel , Teras, Lauren R. , Foo, Jia Nee , Link, Brian K. , Bertrand, Kimberly A. , Zhang, Yawei , Chanock, Stephen Jacob , Rothman, Nathaniel , Severi, Gianluca

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Cancer Research | May 1, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: 5072-5072

10.1158/1538-7445.am2014-5072 Get It

Abstract Background. Follicular lymphoma (FL) is an indolent B-cell malignancy with a variable clinical course that may transform to more aggressive forms of lymphoma. Previous modestly powered GWAS have reported multiple FL susceptibility loci in the HLA class I and II regions at 6p21.32-33, but novel non-HLA susceptibility loci and the genetic architecture of FL associations in the HLA region remain to be elucidated. Methods. We conducted the largest GWAS of FL to date consisting of 2,142 cases and 6,221 controls of European ancestry from 22 studies scanned on the Illumina OmniExpress. After imputation of common SNPs using IMPUTE2 and 1,000 Genomes Project v3 data, we conducted a meta-analysis of these data with two previous FL GWAS (n=586 cases, 1,537 controls) and replicated top hits in an additional 629 cases and 4,283 controls. Expression quantitative trait loci (eQTL) analyses were performed to evaluate the effects of associated variants on gene expression. Classical HLA allele imputations and stepwise regression analyses are underway to further characterize the HLA associations. Results. In the joint meta-analysis, the strongest association with FL risk was observed in the HLA region, where a large number of SNPs showed genome-wide significance (P<5x10-8 to P= 1.84x10-84), particularly in HLA class II at 6p21.32 where several HLA eQTLs were identified (P < 0.05). Outside HLA, we identified four novel loci associated with FL at 11q23.3 (CXCR5, rs4938573; P=3.14x10-15), 11q24.3 (ETS1, rs4937362; P=3.33x10-9), 3q13.33 (CD86, rs2681416; P=9.79x10-11) and 3q28 (LPP, rs6444305, P=2.55x10-8). These novel susceptibility loci were located in four biologically relevant genes involved in immune regulation: CXCR5 and its ligand, CXCL13, are involved in guiding B-cells into the B-cell zones of secondary lymphoid organs as well as T-cell migration. ETS1 is expressed in lymphoid cells and regulates immune cell function including differentiation, survival, and proliferation. CD86 and CD80 are classic members of the B7 costimulatory pathway that is important in maintaining immune function, suppression of autoimmunity and antitumor surveillance. LPP encodes a LIM domain-containing protein of the zyxin family and participates in cell adhesion, cell migration, proliferation and transcription dynamics. Conclusions. This large GWAS provides further support for the important role of common genetic variation in non-HLA genes and further evidence of the key role that HLA immune-regulatory genes play in the pathogenesis of FL. Citation Format: Christine F. Skibola, Sonja I. Berndt, James R. Cerhan, Zhaoming Wang, Joseph Vijai, Lucia Conde, Paul de Bakker, Sophia S. Wang, Claire M. Vajdic, Brenda M. Birmann, Susan L. Slager, James McKay, Paige M. Bracci, Alexandra Nieters, Qing Lan, Angela R. Brooks-Wilson, Martha S. Linet, Demetrius Albanes, John J. Spinelli, Roel C.H. Vermeulen, Mark P. Purdue, Meredith Yaeger, Lauren R. Teras, Silvia de Sanjose, Alain Monnereau, Simon Crouch, Jia Nee Foo, Henrik Hjalgrim, Gianluca Severi, Brian K. Link, Kimberly A. Bertrand, Yawei Zhang, Karin E. Smedby, Stephen J. Chanock, Nathaniel Rothman, NHL GWAS Consortium. Meta-analysis of genome-wide association studies identifies novel susceptibility loci for follicular lymphoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5072. doi:10.1158/1538-7445.AM2014-5072
PRRC2A and BCL2L11 gene variants influence risk of non-Hodgkin lymphoma: results from the InterLymph consortium
Nieters, Alexandra, Conde, Lucía , Morton, Lindsay M. , Skibola, Danica R., Novak, Anne J. , Riby, Jacques, Ansell, Stephen M. , Halperin, Eran , Agana, Luz, Wang, Alice H., Roos, Anneclaire J. De , Severson, Richard K., Spinelli, John, Butterbach, Katja, Becker, Nikolaus, Sanjosé, Sílvia de , Benavente, Yolanda , Cocco, Pierluigi , Staines, Anthony , Foretová, Lenka , Brennan, Paul , Lan, Qing , Zheng, Tongzhang, Purdue, Mark P. , Armstrong, Bruce K. , Kricker, Anne , Vajdic, Claire M. , Grulich, Andrew E. , Smith, Martyn T. , Bracci, Paige M. , Hartge, Patricia, Cerhan, James R. , Wang, Sophia , Rothman, Nathaniel , Skibola, Christine F., Slager, Susan L. , Brooks‐Wilson, Angela , Shanafelt, Tait D. , Cozen, Wendy , Maynadié, Marc , Boffetta, Paolo , Zhang, Yawei , Chanock, Stephen Jacob , Cerhan, James R , Cocco, Pierluigi , Vajdic, Claire M , Morton, Lindsay M , De Roos, Anneclaire J , Wang, Sophia S

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Blood | October 10, 2012 | Volume: 120 | Issue: 23 | Pages: 4645-4648

10.1182/blood-2012-05-427989 | PMID 23047821 Get It

AbstractMany common genetic variants have been associated with non-Hodgkin lymphoma (NHL), but individual study results are often conflicting. To confirm the role of putative risk alleles in B-cell NHL etiology, we performed a validation genotyping study of 67 candidate single nucleotide polymorphisms within InterLymph, a large international consortium of NHL case-control studies. A meta-analysis was performed on data from 5633 B-cell NHL cases and 7034 controls from 8 InterLymph studies. rs3789068 in the proapoptotic BCL2L11 gene was associated with an increased risk for B-cell NHL (odds ratio = 1.21, P random = 2.21 × 10−11), with similar risk estimates for common B-cell subtypes. PRRC2A rs3132453 in the HLA complex class III region conferred a reduced risk of B-cell NHL (odds ratio = 0.68, P random = 1.07 × 10−9) and was likewise evident for common B-cell subtypes. These results are consistent with the known biology of NHL and provide insights into shared pathogenic components, including apoptosis and immune regulation, for the major B-cell lymphoma subtypes.
Genetic variation in caspase genes and risk of non-Hodgkin lymphoma: a pooled analysis of 3 population-based case-control studies
Lan, Qing , Morton, Lindsay M. , Hartge, Patricia, Menashe, Idan , Zheng, Tongzhang, Purdue, Mark P. , Cerhan, James R. , Grulich, Andrew E. , Holford, Theodore R. , Vajdic, Claire M. , Leaderer, Brian P., Kricker, Anne , Schenk, Maryjean, Zahm, Shelia Hoar , Chatterjee, Nilanjan , Rothman, Nathaniel , Wang, Sophia , Armstrong, Bruce K. , Zhang, Yawei , Cozen, Wendy , Yeager, Meredith , Davis, Scott , Chanock, Stephen Jacob , Cerhan, James R , Vajdic, Claire M , Morton, Lindsay M , Wang, Sophia S

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Blood | May 4, 2009 | Volume: 114 | Issue: 2 | Pages: 264-267

10.1182/blood-2009-01-198697 | PMID 19414860 Get It

Abstract Caspases play a critical role in regulation of apoptosis, cell differentiation, inflammation, and innate immunity, and several are mutated or have altered expression in non-Hodgkin lymphoma (NHL). To study the impact of genetic variation in caspases on NHL risk, we analyzed tag single nucleotide polymorphisms (SNPs) in 12 caspase and related genes in 3 population-based case-control studies (1946 cases and 1808 controls). Gene-based analysis, adjusting for the number of tagSNPs genotyped in each gene, showed significant associations for CASP8, CASP9, and CASP1. SNP-based analysis showed that CASP8 rs6736233 (odds ratio (OR) CG = 1.21; ORCC = 2.13; P trend = .011); CASP9 rs4661636 (ORCT = 0.89; ORTT = 0.77; P trend = .011); and CASP1 rs1785882 (ORAT = 1.12; ORAA = 1.30; P trend = .0054) were significantly associated with NHL risk and consistent across studies. It is noteworthy that genetic variants in CASP8 were associated with risk of all major NHL subtypes. Our findings suggest that genetic variation in caspases may play an important role in lymphomagenesis.
Risk of Non–Hodgkin Lymphoma Associated with Germline Variation in Genes that Regulate the Cell Cycle, Apoptosis, and Lymphocyte Development
Morton, Lindsay M. , Purdue, Mark P. , Zheng, Tongzhang, Wang, Sophia , Menashe, Idan , Chatterjee, Nilanjan , Lan, Qing , Vajdic, Claire M. , Severson, Richard K., Holford, Theodore R. , Kricker, Anne , Cerhan, James R. , Leaderer, Brian P., Grulich, Andrew E. , Zahm, Shelia Hoar , Rothman, Nathaniel , Hartge, Patricia, Armstrong, Bruce K. , Zhang, Yawei , Davis, Scott , Yeager, Meredith , Cozen, Wendy , Chanock, Stephen Jacob , Cerhan, James R , Vajdic, Claire M , Morton, Lindsay M , Wang, Sophia S

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | April 8, 2009 | Volume: 18 | Issue: 4 | Pages: 1259-1270

10.1158/1055-9965.epi-08-1037 | PMID 19336552 Get It

AbstractChromosomal translocations are the hallmark genetic aberration in non–Hodgkin lymphoma (NHL), with specific translocations often selectively associated with specific NHL subtypes. Because many NHL-associated translocations involve cell cycle, apoptosis, and lymphocyte development regulatory genes, we evaluated NHL risk associated with common genetic variation in 20 candidate genes in these pathways. Genotyping of 203 tag single nucleotide polymorphisms (SNP) was conducted in 1,946 NHL cases and 1,808 controls pooled from 3 independent population-based case-control studies. We used logistic regression to compute odds ratios (OR) and 95% confidence intervals (CI) for NHL and four major NHL subtypes in relation to tag SNP genotypes and haplotypes. We observed the most striking associations for tag SNPs in the proapoptotic gene BCL2L11 (BIM) and BCL7A, which is involved in a rare NHL-associated translocation. Variants in BCL2L11 were strongly related to follicular lymphoma only, particularly rs3789068 (ORAG, 1.41; 95% CI, 1.10-1.81; ORGG, 1.65; 95% CI, 1.25-2.19; Ptrend = 0.0004). Variants in BCL7A were strongly related to diffuse large B-cell lymphoma only, particularly rs1880030 (ORAG, 1.34; 95% CI, 1.08-1.68; ORAA, 1.60; 95% CI, 1.22-2.08; Ptrend = 0.0004). The associations for both variants were similar in all three studies and supported by haplotype analyses. We also observed notable associations for variants in BCL6, CCND1, and MYC. Our results support the role of common genetic variation in cell cycle, apoptosis, and lymphocyte development regulatory genes in lymphomagenesis, and suggest that effects may vary by NHL subtype. Replication of our findings and further study to identify functional SNPs are warranted. (Cancer Epidemiol Biomarkers Prev 2009;18(4):1259–70)
Family history of hematopoietic malignancies and risk of non-Hodgkin lymphoma (NHL): a pooled analysis of 10 211 cases and 11 905 controls from the International Lymphoma Epidemiology Consortium (InterLymph)
Wang, Sophia , Brennan, Paul , Holly, Elizabeth A., Sanjosé, Sílvia de, Cerhan, James R. , Spinelli, John J., Cocco, Pier Luigi, Mensah, Fiona , Nieters, Alexandra, Maso, Luigino Dal , Bracci, Paige M. , Costantini, Adele Seniori , Vineis, Paolo , Severson, Richard K., Roman, Eve , Weisenburger, Dennis D. , Franceschi, Silvia , Vecchia, Carlo La , Foretová, Lenka , Becker, Nikolaus, Staines, Anthony , Vornanen, Martine, Zheng, Tongzhang, Hartge, Patricia, Cocco, Pierluigi , Slager, Susan L. , Bernstein, Leslie , Boffetta, Paolo , Maynadié, Marc , Chiu, Brian C.‐H. , Zhang, Yawei , Cozen, Wendy , Davis, Scott , Cerhan, James R , Cocco, Pierluigi , Wang, Sophia S , Roman, Eve

Mayo Clinic

Blood | December 22, 2006 | Volume: 109 | Issue: 8 | Pages: 3479-3488

10.1182/blood-2006-06-031948 | PMID 17185468 Get It

AbstractA role for genetic susceptibility in non-Hodgkin lymphoma (NHL) is supported by the accumulating evidence of common genetic variations altering NHL risk. However, the pattern of NHL heritability remains poorly understood. We conducted a pooled analysis of 10 211 NHL cases and 11 905 controls from the International Lymphoma Epidemiology Consortium (InterLymph) to evaluate NHL risk among those with hematopoietic malignancies in first-degree relatives. Odds ratios (ORs) and 95% confidence intervals (CIs) of NHL and its subtypes were estimated from unconditional logistic regression models with adjustment for confounders. NHL risk was elevated for individuals who reported first-degree relatives with NHL (OR = 1.5; 95% CI = 1.2-1.9), Hodgkin lymphoma (OR = 1.6; 95% CI = 1.1-2.3), and leukemia (OR = 1.4; 95% CI = 1.2-2.7). Risk was highest among individuals who reported a brother with NHL (OR = 2.8; 95% CI = 1.6-4.8) and was consistent for all NHL subtypes evaluated. If a first-degree relative had Hodgkin lymphoma, NHL risk was highest if the relative was a parent (OR = 1.7; 95% CI = 1.0-2.9). If a first-degree relative had leukemia, NHL risk was highest among women who reported a sister with leukemia (OR = 3.0; 95% CI = 1.6-5.6). The pattern of NHL heritability appeared to be uniform across NHL subtypes, but risk patterns differed by specific hematopoietic malignancies and the sex of the relative, revealing critical clues to disease etiology.