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Adami, Hans‐Olov

https://orcid.org/0000-0001-9592-5791

Mayo Clinic

Harvard University

Citations 8

Genetically determined body mass index is associated with diffuse large B‐cell lymphoma in polygenic and Mendelian randomization analyses
Moore, Amy , Teras, Lauren R. , Machiela, Mitchell J. , Arias, Joshua , Monnereau, Alain , Wang, Zhaoming , Vermeulen, Roel , Smedby, Karin E. , Spinelli, John J., Nieters, Alexandra , Bracci, Paige M. , Camp, Nicola J. , Hjalgrim, Henrik, Adami, Hans‐Olov , Albanes, Demetrius, Becker, Nikolaus, Benavente, Yolanda , Clavel, Jacqueline , Curtin, Karen , Ghesquières, Hervé, Glimelius, Bengt, Lan, Qing , Liebow, Mark , McKay, James , Offit, Kenneth, Padoan, Marina, Patel, Alpa V. , Ríboli, Elio , Severson, Richard K., Tinker, Lesley F. , Weinstein, Stephanie J. , Zheng, Tongzhang, Chanock, Stephen J., Rothman, Nathaniel , Berndt, Sonja I. , Teras, Lauren R , Wang, Zhaoming , Vajdic, Claire M , De Vivo, Immaculata , Boffetta, Paolo , Brooks-Wilson, Angela R , Canzian, Federico , Southey, Melissa C , Cerhan, James R , Berndt, Sonja I , Clavel, Jacqueline , Machiela, Mitchell J , Riboli, Elio , Kane, Eleanor , Panagiotou, Orestis A. , Doo, Nicole Wong , Slager, Susan L. , Vajdic, Claire M. , Vijai, Joseph , Giles, Graham G. , Link, Brian K. , Arslan, Alan A. , Salles, Gilles , Cozen, Wendy , Vivo, Immaculata De , Albanes, Demetrius , Bisanzi, Simonetta , Brennan, Paul E. , Brooks‐Wilson, Angela , Canzian, Federico , Conde, Lucía , Cox, David G. , Foretová, Lenka , Glimelius, Bengt , Habermann, Thomas M. , Hofmann, Jonathan N. , Lan, Qing , Lincoln, Anne , Maynadié, Marc , Melbye, Mads , Miligi, Lucia , Milne, Roger L. , Molina, Thierry Jo , Morton, Lindsay M. , North, Kari E. , Offit, Kenneth, Piro, Sara , Purdue, Mark P. , Ravichandran, Vignesh , Southey, Melissa C. , Staines, Anthony , Travis, Ruth C. , Wang, Sophia , Weiderpass, Elisabete , Rothman, Nathaniel , Birmann, Brenda M. , Cerhan, James R.

International Journal of Cancer | September 5, 2025 | Volume: 158 | Issue: 1 | Pages: 45-59

10.1002/ijc.70039 Get It

Abstract Obesity has been associated with non‐Hodgkin lymphoma (NHL), but the evidence is inconclusive. We examined the association between genetically determined adiposity and four common NHL subtypes: diffuse large B‐cell lymphoma (DLBCL), follicular lymphoma, chronic lymphocytic leukemia, and marginal zone lymphoma, using eight genome‐wide association studies of European ancestry ( N = 10,629 cases, 9505 controls) and constructing polygenic scores for body mass index (BMI), waist‐to‐hip ratio (WHR), and waist‐to‐hip ratio adjusted for BMI (WHRadjBMI). Higher genetically determined BMI was associated with an increased risk of DLBCL [odds ratio (OR) per standard deviation (SD) = 1.18, 95% confidence interval (95% CI): 1.05–1.33, p = .005]. This finding was consistent with Mendelian randomization analyses, which demonstrated a similar increased risk of DLBCL with higher genetically determined BMI (OR per SD = 1.12, 95% CI: 1.02–1.23, p = .03). No significant associations were observed with other NHL subtypes. Our study demonstrates a positive link between a genetically determined BMI and an increased risk of DLBCL, providing additional support for increased adiposity as a risk factor for DLBCL.
International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts
Timmins, Iain R. , Jones, Michael E. , O’Brien, Katie M. , Adami, Hans‐Olov , Aune, Dagfinn , Brantley, Kristen D. , Chen, Yu , DeHart, Jessica Clague , Clendenen, Tess V. , Fournier, A. , Hankinson, Susan E. , Houlston, Richard S. , Kirsh, Victoria A. , Linet, Martha S. , May, Anne M. , Rohan, Thomas E. , Ruddy, Kathryn J. , Sund, Malin , Vachon, Celine M. , Vatten, Lars J. , Visvanathan, Kala , Yuan, Jian‐Min , Zheng, Wei , Nichols, Hazel B. , Baglietto, Laura , Bertrand, Kimberly A , Brantley, Kristen D , Clague DeHart, Jessica , Clendenen, Tess V , Dossus, Laure , Eliassen, A Heather , Fletcher, Olivia , Fournier, Agnès , Håkansson, Niclas , Houlston, Richard S , Joshu, Corinne E , Kirsh, Victoria A , Kitahara, Cari M , Linet, Martha S , Park, Hannah Lui , Lynch, Brigid M , May, Anne M , Mellemkjær, Lene , Milne, Roger L , Palmer, Julie R , Ruddy, Kathryn J , Sánchez, Maria-Jose , Shu, Xiao-Ou , Steindorf, Karen , Sund, Malin , Vachon, Celine M. , Vatten, Lars J , Visvanathan, Kala , Weiderpass, Elisabete , Willett, Walter C , Wolk, Alicja , Zheng, Wei , Nichols, Hazel B , Sandler, Dale P , Jones, Michael E , O'Brien, Katie M , Aune, Dagfinn , Chen, Yu , Baglietto, Laura , Bertrand, Kimberly A. , Eliassen, A. Heather , Fletcher, Olivia , Håkansson, Niclas , Hankinson, Susan E. , Kitahara, Cari M. , Koh, Woon‐Puay , Milne, Roger L. , Palmer, Julie R. , Ricceri, Fulvio , Sánchez, María‐José , Shu, Xiao‐Ou , Smith-Byrne, Karl , Weiderpass, Elisabete , Willett, Walter C. , Wolk, Alicja , Sandler, Dale P. , Swerdlow, Anthony J. , Schoemaker, Minouk J.

Journal of Clinical Oncology | December 11, 2023 | Volume: 42 | Issue: 8 | Pages: 927-939

10.1200/jco.23.01101 Get It

PURPOSE There is strong evidence that leisure-time physical activity is protective against postmenopausal breast cancer risk but the association with premenopausal breast cancer is less clear. The purpose of this study was to examine the association of physical activity with the risk of developing premenopausal breast cancer. METHODS We pooled individual-level data on self-reported leisure-time physical activity across 19 cohort studies comprising 547,601 premenopausal women, with 10,231 incident cases of breast cancer. Multivariable Cox regression was used to estimate hazard ratios (HRs) and 95% CIs for associations of leisure-time physical activity with breast cancer incidence. HRs for high versus low levels of activity were based on a comparison of risk at the 90th versus 10th percentiles of activity. We assessed the linearity of the relationship and examined subtype-specific associations and effect modification across strata of breast cancer risk factors, including adiposity. RESULTS Over a median 11.5 years of follow-up (IQR, 8.0-16.1 years), high versus low levels of leisure-time physical activity were associated with a 6% (HR, 0.94 [95% CI, 0.89 to 0.99]) and a 10% (HR, 0.90 [95% CI, 0.85 to 0.95]) reduction in breast cancer risk, before and after adjustment for BMI, respectively. Tests of nonlinearity suggested an approximately linear relationship ( Pnonlinearity = .94). The inverse association was particularly strong for human epidermal growth factor receptor 2–enriched breast cancer (HR, 0.57 [95% CI, 0.39 to 0.84]; Phet = .07). Associations did not vary significantly across strata of breast cancer risk factors, including subgroups of adiposity. CONCLUSION This large, pooled analysis of cohort studies adds to evidence that engagement in higher levels of leisure-time physical activity may lead to reduced premenopausal breast cancer risk.
A Meta-Analysis Of Hodgkin Lymphoma Reveals 19p13.3 (TCF3) As a Novel Susceptibility Loc
Hazelett, Dennis J. , Delahaye-Sourdeix, Manon, Edlund, Christopher K., Berg, David J. Van Den, Smedby, Karin E. , Glaser, Sally L. , Westra, Harm-Jam, Mack, Thomas M. , Ghesquières, Hervé , Hwang, Amie E. , Nieters, Alexandra, Sanjosé, Sílvia de, Lightfoot, Tracy, Becker, Nikolaus, Benavente, Yolanda , Nathwani, Bharat N., Glimelius, Bengt , Staines, Anthony , Ansell, Stephen M. , Strong, Louise C. , Vatten, Lars J. , Lake, Annette, Veenstra, Rianne, Visser, Lydia , Urayama, Kevin Y. , Montgomery, Dorothy, Gaborieau, Valérie , Weiss, Lawrence M. , Lathrop, Mark , Adami, Hans‐Olov , Gallagher, Alice, Taylor, G M, Brennan, Paul , Conti, David V. , Onel, Kenan , Hjalgrim, Henrik , Berg, Anke van den , McKay, James , Li, Debiao , Hazelett, Dennis J , Conti, David V , Li, Debiao , Cozen, Wendy , Li, Dalin , Timofeeva, Maria , Diepstra, Arjan , Rostgaard, Klaus , Franke, Lude , Robison, Leslie L. , Cortessis, Victoria K. , Maynadié, Marc , Foretová, Lenka , Roman, Eve , Boffetta, Paolo , Link, Brian K. , Kiemeney, Lambertus A. , Bhatia, Ravi , Galán, Pilar , Habermann, Thomas M. , Duell, Eric J. , Byrnes, Graham , Melbye, Mads , Cerhan, James R. , Slager, Susan L. , Coetzee, Gerhard A. , Jarrett, Ruth F.

Blood | November 17, 2019 | Volume: 122 | Issue: 21 | Pages: 626-626

10.1182/blood.v122.21.626.626 Get It

Abstract Background Recent genome wide association studies (GWAS) of Hodgkin lymphoma (HL) have identified several associations at both HLA and non-HLA loci. However, much of HL heritability remains unexplained. Methods To identify novel risk loci, we performed a meta-analysis of 3 HL GWAS including a total of 1,810 cases and 7,879 controls. Results were replicated in an independent set of 1,163 cases and 2,580 controls, for a total of 3,097 and 11,097 cases and controls combined, respectively. participants in discovery and replication stages were of European descent. quality control and imputation we conducted a meta-analysis addressing 1,004,829 variants (λ= 1.10, λ1000= 1.03). Associations between SNP genotypes and HL risk were evaluated under a log-additive model of inheritance adjusting for sex, study center and significant principal components to control for population stratification. We performed an analysis with all HL cases and then conducted stratified analyses by histological subtype (classical, nodular sclerosis and mixed cellularity), age at diagnosis (nodular sclerosis among those diagnosed at 15- 35 years in all studies, and those diagnosed at 35 and older years in the European Study only) and EBV tumor status (negative and positive). We then used a bioinformatic approach (FunciSNP) to identify potential functional variants associated with HD risk correlated with risk loci of interest. We extracted publically available ENCODE data on biofeatures to identify potential functional motifs associated with the index SNP or correlated SNPs. Finally, we measured expression levels of the two alternative mRNA transcripts in lymphoblastoid cell lines (LCLs) from 49 post-therapy HL patients and 25 unaffected controls. RT-PCR was carried out in triplicate. Relative expression levels were calculated relative to TBP as housekeeping gene. Linear models were used to assess correlation between genotype and TCF3expression levels. Results The meta-analysis identified a novel susceptibility variant at chromosome 19p13.3 (rs1860661) associated with HL risk (Odds Ratio [OR]= 0.78, P=2.0*10-8, I2=0%). variant is located in intron 2 of TCF3 (also known as E2A), a regulator of B- and T-cell lineage commitment. was also significantly associated with HL (OR= 0.85, P=0.002) in the replication series of 1,281 cases and 3,218 controls. the combined analysis consisting of the discovery and replication sets, rs1860661was strongly associated with HL (OR=0.81,=3.5*10-10), with no evidence of heterogeneity between contributing studies (Phom=0.41, I2=0%). The number of G alleles defined by rs1860661 was significantly associated with a reduced risk of each HL subtype except EBV positive HL. rs1860661 and two correlated SNPs, rs10413888 (r2=0.90) and rs8103453 (r2=0.89) identified by FunciSNP analysis map in or near marks of open chromatin and in DNAse hypersensitivity sites in TCF3 in CD20+ B cell lines., the protective minor alleles of these SNPs as defined by the G-G-G haplotype map to the binding sites for ZBTB7a (rs10413888 and rs1860661) and (rs8103453) transcription factors, likely improving the binding efficiency to the sites which may result in increased transcription rates of TCF3. TCF3 is encoded by two alternative transcripts (E12 and E47). Higher expression levels of TCF3-E47, whose transcription start site is located close to rs1860661, was associated with the rs1860661-G allele in controls (P=0.02), but not in HL patients (P=0.22). Conclusion/Discussion TCF3 is essential for the commitment of lymphoid progenitors to both B-cell and T-cell lineage development. A molecular and phenotypic hallmark of classical HL is the loss of the B-cell phenotype in HRS cells, including lack of demonstrable B-cell receptor and most B-cell specific markers such as CD19 or CD20. HRS cells have a low level of TCF3, particularly homodimers of the isoform E47, due to expression of the ABF-1 and ID2 inhibitors that bind to TCF3. Thus, higher TCF3 levels in HRS precursor cells may lead to enhanced retention of the B cell phenotype, thereby conferring a protective effect. These data suggest a link between the 19p13.3 locus including TCF3 and HL risk, indicating that TCF3 could be relevant to HL etiology and pathogenesis. Disclosures: Link: Genentech: Consultancy; Millenium: Consultancy; Pharmacyclics: Consultancy; Spectrum: Consultancy.
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

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

10.1002/gepi.22242 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.
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

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

10.1158/0008-5472.can-17-2900 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.
Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis
Kleinstern, Geffen , Camp, Nicola J. , Goldin, Lynn R. , Vachon, Celine M. , Vajdic, Claire M. , Sanjosé, Sílvia de, Weinberg, J. Brice , Benavente, Yolanda , Casabonne, Delphine, Liebow, Mark , Nieters, Alexandra, Hjalgrim, Henrik , Melbye, Mads , Glimelius, Bengt , Adami, Hans‐Olov , Brennan, Paul , McKay, James , Cocco, Pier Luigi, Call, Timothy G. , Hanson, Curtis A. , Robinson, Dennis P. , Chaffee, Kari G. , Brooks‐Wilson, Angela , Monnereau, Alain, Clavel, Jacqueline , Glenn, Martha, Curtin, Karen , Conde, Lucía , Bracci, Paige M. , Morton, Lindsay M. , Severson, Richard K., Chanock, Stephen J., Spinelli, John J., Johnston, James B. , Rothman, Nathaniel , Skibola, Christine F., Leis, José F., Smedby, Karin E. , Berndt, Sonja I. , Caporaso, Neil E., Rabe, Kari G. , Cocco, Pierluigi , Monnereau, Alain , Norman, Aaron D. , Hanson, Curtis, Robinson, Dennis, Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Morton, Lindsay M , Clavel, Jacqueline , Vachon, Celine M. , Casabonne, Delphine , Boffetta, Paolo , Maynadié, Marc , Shanafelt, Tait D. , Cozen, Wendy , Rothman, Nathaniel , Kay, Neil E. , Cerhan, James R. , Slager, Susan L.

Blood | April 19, 2018 | Volume: 131 | Issue: 23 | Pages: 2541-2551

10.1182/blood-2017-11-814608 Get It

Key Points PRS, based on the known CLL loci, predicts CLL risk with high discrimination. This PRS predicts risk of monoclonal B-cell lymphocytosis, a precursor to CLL and a condition that has clinical impact beyond risk for CLL.
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

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

10.1136/lupus-2016-000187 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.
Abstract 2167: Infertility and risk of incident endometrial carcinoma: a pooled analysis from the Epidemiology of Endometrial Cancer Consortium
Weiderpass, Elisabete , Adami, Hans‐Olov , Anderson, Kristin E. , Cai, Hui , Clendenen, Tess V. , Felix, Ashley S. , Goodman, Marc T. , Liang, Xiaolin , Lissowska, Jolanta , Magliocco, Anthony M., McCann, Susan E. , Moysich, Kristen B., Pike, Malcolm C. , Shu, Xiao Ou , Wentzensen, Nicolas , Zeleniuch‐Jacquotte, Anne , Brinton, Louise A. , Yang, Hannah , Cook, Linda S. , Cerhan, James R. , Friedenreich, Christine M , García‐Closas, Montserrat , Lu, Lingeng , Olson, Sara H. , Polidoro, Silvia , Ricceri, Fulvio , Risch, Harvey A. , Sacerdote, Carlotta , Setiawan, Veronica Wendy , Spurdle, Amanda B. , Trabert, Britton , Webb, Penelope M. , Xiang, Yong‐Bing , Xu, Y. , Yu, Kai , Weiderpass, Elisabete , Lissowska, Jolanta , Zeleniuch-Jacquotte, Anne , Goodman, Marc T

Cancer Research | May 1, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: 2167-2167

10.1158/1538-7445.am2014-2167 Get It

Abstract Background: Nulliparity is an established endometrial cancer risk factor, but whether this association is related to infertility is unclear. Although there are many underlying causes of infertility, few studies have assessed risk relationships according to specific causes. Despite concerns that most treatments induce ovulation and that the endometrium is highly hormonally-responsive, previous studies have provided conflicting results on treatment associations. Methods: To address these issues, we conducted a pooled analysis of 8,151 cases and12,471 controls from 2 cohort and 12 case-control studies conducted in 1982 to 2009 (N. America, Europe, Australia, Asia). All studies provided self-reported infertility, causes and treatments, except for 1 study that relied on data from national registries. Study-specific exposures and covariate data were harmonized across studies. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), adjusted for study, age, interview year, race, parity, oral contraceptive and menopausal hormone use, and body mass index. If data were not reported for a particular variable, that study was excluded from the variable-specific analysis. Results: Nulliparous women had an elevated endometrial cancer risk compared with parous women (adjusted OR=1.73; 95% CI: 1.58-1.90).Women with self-reported infertility also had an increased risk (adjusted OR=1.22; 95% CI: 1.13-1.32) compared with those without infertility issues, even after adjusting for parity; the strongest associations was seen among studies that defined infertility as unsuccessfully trying to conceive for 2+ years (adjusted OR=1.31; 95% CI: 1.07-1.60). Infertility was associated with similar risks among nulliparous (1.22; 1.10-1.48) and parous (1.22; 1.12-1.34) women, although there was no increased risk associated with infertility among those who had given birth to 3+ children. Two infertility causes associated with risk elevation were endometriosis (adjusted OR=2.08; 95% CI: 1.46-2.95 compared with women no infertility problems) and anovulation (adjusted OR=1.40; 95% CI: 1.16-1.70). Based on relatively small numbers, none of the individual treatments (in vitro fertilization, selective estrogen response modulators, gonatropins, progestins, estrogens) were substantially related to risk. Conclusion: Based on mainly self-reported infertility data, we found that parity and infertility independently contribute to endometrial cancer risk, with parity seemingly being the predominant risk predictor. Understanding residual endometrial cancer relationships related to causes of infertility and infertility treatment may benefit from documented medical information on causes of infertility and treatment parameters. Citation Format: Hannah P. Yang, Linda S. Cook, Elisabete Weiderpass, Hans-Olov Adami, Kristin E. Anderson, Hui Cai, James R. Cerhan, Tess Clendenen, Ashley S. Felix, Christine Friedenreich, Montserrat Garcia-Closas, Marc T. Goodman, Xiaolin Liang, Jolanta Lissowska, Lingeng Lu, Anthony M. Magliocco, Susan E. McCann, Kristen B. Moysich, Sara H. Olson, Malcolm C. Pike, Silvia Polidoro, Fulvio Ricceri, Harvey Risch, Carlotta Sacerdote, V. Wendy Setiawan, Xiao Ou Shu, Amanda B. Spurdle, Britton Trabert, Penelope M. Webb, Nicolas Wentzensen, Yong-Bing Xiang, Youming Xu, Herbert Yu, Anne Zeleniuch-Jacquotte, Louise A. Brinton. Infertility and risk of incident endometrial carcinoma: a pooled analysis from the Epidemiology of Endometrial Cancer Consortium. [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 2167. doi:10.1158/1538-7445.AM2014-2167