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Roos, Anneclaire J. De

https://orcid.org/0000-0002-2811-2405

Mayo Clinic

Drexel University

Citations 13

B-Cell NHL Subtype Risk Associated with Autoimmune Conditions and PRS
Wang, Sophia , Vajdic, Claire M. , Linet, Martha S. , Slager, Susan L. , Nieters, Alexandra, Casabonne, Delphine , Cerhan, James R. , Cozen, Wendy , Brown, Elizabeth E. , Bracci, Paige M. , Turner, Jennifer , Hjalgrim, Henrik , Bhatti, Parveen , Flowers, Christopher R. , Paltiel, Ora , Holly, Elizabeth A., Weisenburger, Dennis D. , Cocco, Pierluigi , Breen, Elizabeth C. , Lan, Qing , Roos, Anneclaire J. De , Smith, Martyn T. , Kricker, Anne , Zheng, Tongzhang, Skibola, Christine F., Clavel, Jacqueline , Monnereau, Alain, Rothman, Nathaniel , Benavente, Yolanda , Hartge, Patricia, Smedby, Karin E. , Monnereau, Alain , Wang, Sophia S , Cerhan, James R , Cozen, Wendy , Martínez-Maza, Otoniel , Turner, Jennifer , Hjalgrim, Henrik , Bhatti, Parveen , Birmann, Brenda M , Kane, Eleanor , Weisenburger, Dennis D , Maynadié, Marc , Cocco, Pierluigi , Breen, Elizabeth Crabb , Lan, Qing , Brooks-Wilson, Angela R , Roman, Eve , Boffetta, Paolo , Kricker, Anne , Clavel, Jacqueline , Vajdic, Claire M , De Roos, Anneclaire J , Slager, Susan L , Voutsinas, Jenna M. , Alarcón, Graciela S. , Martı́nez-Maza, Otoniel , Zhang, Yawei , Birmann, Brenda M. , Kane, Eleanor , Foretová, Lenka , Brooks‐Wilson, Angela , Roman, Eve , Chanock, Stephen Jacob , Rothman, Nathaniel

Cancer Epidemiology, Biomarkers & Prevention | May 4, 2022 | Volume: 31 | Issue: 5 | Pages: 1103-1110

10.1158/1055-9965.epi-21-0875 Get It

Abstract Background: A previous International Lymphoma Epidemiology (InterLymph) Consortium evaluation of joint associations between five immune gene variants and autoimmune conditions reported interactions between B-cell response-mediated autoimmune conditions and the rs1800629 genotype on risk of B-cell non–Hodgkin lymphoma (NHL) subtypes. Here, we extend that evaluation using NHL subtype-specific polygenic risk scores (PRS) constructed from loci identified in genome-wide association studies of three common B-cell NHL subtypes. Methods: In a pooled analysis of NHL cases and controls of Caucasian descent from 14 participating InterLymph studies, we evaluated joint associations between B-cell–mediated autoimmune conditions and tertile (T) of PRS for risk of diffuse large B-cell lymphoma (DLBCL; n = 1,914), follicular lymphoma (n = 1,733), and marginal zone lymphoma (MZL; n = 407), using unconditional logistic regression. Results: We demonstrated a positive association of DLBCL PRS with DLBCL risk [T2 vs. T1: OR = 1.24; 95% confidence interval (CI), 1.08–1.43; T3 vs. T1: OR = 1.81; 95% CI, 1.59–2.07; P-trend (Ptrend) < 0.0001]. DLBCL risk also increased with increasing PRS tertile among those with an autoimmune condition, being highest for those with a B-cell–mediated autoimmune condition and a T3 PRS [OR = 6.46 vs. no autoimmune condition and a T1 PRS, Ptrend < 0.0001, P-interaction (Pinteraction) = 0.49]. Follicular lymphoma and MZL risk demonstrated no evidence of joint associations or significant Pinteraction. Conclusions: Our results suggest that PRS constructed from currently known subtype-specific loci may not necessarily capture biological pathways shared with autoimmune conditions. Impact: Targeted genetic (PRS) screening among population subsets with autoimmune conditions may offer opportunities for identifying those at highest risk for (and early detection from) DLBCL.
Occupational insecticide exposure and risk of non‐Hodgkin lymphoma: A pooled case‐control study from the InterLymph Consortium
Roos, Anneclaire J. De , Schinasi, Leah H. , Miligi, Lucia , Cerhan, James R. , Bhatti, Parveen , Baris, Dalsu , Benavente, Yolanda , Benke, Geza , Clavel, Jacqueline , Casabonne, Delphine, Monnereau, Alain , Vajdic, Claire M. , Wang, Sophia , Zhang, Yawei, Cocco, Pierluigi , De Roos, Anneclaire J , Vajdic, Claire M , Cerhan, James R , Cocco, Pierluigi , Wang, Sophia S , Bhatti, Parveen , Clavel, Jacqueline , Mannetje, Andrea ’t , Casabonne, Delphine , Fritschi, Lin , Hofmann, Jonathan N. , Huynh, Tran , Piro, Sara , Slager, Susan L. , Zhang, Yawei, Bernstein, Leslie

International Journal of Cancer | July 16, 2021 | Volume: 149 | Issue: 10 | Pages: 1768-1786

10.1002/ijc.33740 Get It

AbstractEvidence for the human health effects of pesticides is needed to inform risk assessment. We studied the relationship between occupational insecticide use and risk of non‐Hodgkin lymphoma (NHL) by pooling data from nine case‐control studies participating in the InterLymph Consortium, including 7909 cases and 8644 controls from North America, the European Union and Australia. Insecticide use was coded using self‐report or expert assessment, for insecticide groups (eg, organophosphates, pyrethroids) and active ingredients (eg, malathion, permethrin). Associations with insecticides were estimated using logistic regression to produce odds ratios (ORs) and 95% confidence intervals (CI) for all NHL and NHL subtypes, with adjustment for study site, demographic factors and use of other pesticides. Occupational insecticide use, overall, was not associated with risk of NHL. Use of organophosphate insecticides was associated with increased risk of all NHL and the subtype follicular lymphoma, and an association was found with diazinon, in particular (ever use: OR = 2.05, 95%CI: 1.24‐3.37). The carbamate insecticide, carbaryl, was associated with risk of all NHL, and the strongest associations were found with T‐cell NHL for ever‐use (OR = 2.44, 95%CI: 1.13‐5.28) and longer duration (>8 years vs never: OR = 2.90, 95%CI: 1.02‐8.25). There was no association of NHL with other broad groups of insecticides, including organochlorines and pyrethroids, and some inverse associations were estimated in relation to historical DDT use. Our findings contribute to the totality of evidence available to help inform risk decisions by public health and regulatory agencies of importance given continued, widespread use of organophosphate and carbamate insecticides.
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.
A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci
Rand, Kristin A. , Song, Chi , Déan, Eric, Serie, Daniel, Curtin, Karen , Sheng, Xin , Huff, Carol Ann , Bernal‐Mizrachi, Leon , Tomasson, Michael H. , Pawlish, Karen , Peters, Edward , Stram, Alex , Edlund, Christopher K., Conti, David V. , Zimmerman, Todd M., Hwang, Amie E. , Huntsman, Scott , Graff, John, Kong, Yinfei , Pregja, Silvana, Berndt, Sonja I. , Blot, William J. , Carpten, John D. , Chu, Lisa W., Diver, W. Ryan , Stevens, Victoria L. , Lieber, Michael R. , Goodman, Phyllis J. , Hennis, Anselm , Hsing, Ann W. , Mehta, Jayesh, Klein, Eric A. , Leske, Cristina, Murphy, Adam B. , Nemesure, Barbara , Strom, Sara S., Vij, Ravi , Rybicki, Benjamin A. , Stanford, Janet L. , Signorello, Lisa B., Witte, John S. , Bhatti, Parveen , Hu, Jennifer J. , Nyante, Sarah J. , Birmann, Brenda M. , Atanackovic, Djordje , Glenn, Martha, Jones, Brandt, Tricot, Guido , Kumar, Shaji , Wolf, Jeffrey L. , Halverson, Sandra L. , Rothman, Nathaniel , Brooks‐Wilson, Angela , Kolonel, Laurence N. , Severson, Richard K., Janakiraman, Nalini, Terebelo, Howard R. , Brown, Elizabeth E. , Roos, Anneclaire J. De , Mohrbacher, Ann , Spinelli, John J. , Munshi, Nikhil C. , Levy, Joan, Zonder, Jeffrey A. , Orlowski, Robert Z. , Camp, Nicola J. , Vachon, Celine M. , Ziv, Elad , Hazelett, Dennis J. , Haiman, Christopher A. , Serie, Daniel J, Hu, Donglei , Ailawadhi, Sikander , Singhal, Seema , Bock, Cathryn Hufford , Berg, David Van Den , Nooka, Ajay K. , Casey, Graham , Kittles, Rick A. , Kolb, Suzanne , Neslund-Dudas, Christine M , Ambrosone, Christine B. , John, Esther M. , Bernstein, Leslie , Zheng, Wei , Olshan, Andrew F. , Ziegler, Regina G. , Bandera, Elisa V. , Ingles, Sue A. , Press, Michael F. , Cannon‐Albright, Lisa , Martin, Thomas G. , Rothman, Nathaniel , Rajkumar, S. Vincent , Chanock, Stephen Jacob , Slager, Susan L. , Colditz, Graham A. , Giles, Graham G. , Chiu, Brian C.‐H. , Anderson, Kenneth C. , Orlowski, Robert Z. , Lonial, Sagar , Vachon, Celine M. , Stram, Daniel O. , Cozen, Wendy , Hazelett, Dennis J , Brooks-Wilson, Angela R , Klein, Eric A , De Roos, Anneclaire J , Nyante, Sarah , Bhatti, Parveen , Birmann, Brenda M , Ziv, Elad , Conti, David V

Cancer Epidemiology, Biomarkers & Prevention | September 2, 2016 | Volume: 25 | Issue: 12 | Pages: 1609-1618

10.1158/1055-9965.epi-15-1193 Get It

Abstract Background: Genome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma. Methods: We performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality. Results: We found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry–European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4. Correlated variants in 7p15.3 clustered around an enhancer at the 3′ end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10−7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7. Conclusions: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles. Impact: A subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609–18. ©2016 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

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
Analysis of Environmental Chemical Mixtures and Non-Hodgkin Lymphoma Risk in the NCI-SEER NHL Study
Czarnota, Jenna, Colt, Joanne S., Roos, Anneclaire J. De , Severson, Richard K., Hartge, Patricia, Wheeler, David C. , Gennings, Chris , Cerhan, James R. , Ward, Mary H. , De Roos, Anneclaire J

Environmental Health Perspectives | March 6, 2015 | Volume: 123 | Issue: 10 | Pages: 965-970

10.1289/ehp.1408630 Get It

Abstract Background There are several suspected environmental risk factors for non-Hodgkin lymphoma (NHL). The associations between NHL and environmental chemical exposures have typically been evaluated for individual chemicals (i.e., one-by-one). Objectives We determined the association between a mixture of 27 correlated chemicals measured in house dust and NHL risk. Methods We conducted a population-based case–control study of NHL in four National Cancer Institute–Surveillance, Epidemiology, and End Results centers—Detroit, Michigan; Iowa; Los Angeles County, California; and Seattle, Washington—from 1998 to 2000. We used weighted quantile sum (WQS) regression to model the association of a mixture of chemicals and risk of NHL. The WQS index was a sum of weighted quartiles for 5 polychlorinated biphenyls (PCBs), 7 polycyclic aromatic hydrocarbons (PAHs), and 15 pesticides. We estimated chemical mixture weights and effects for study sites combined and for each site individually, and also for histologic subtypes of NHL. Results The WQS index was statistically significantly associated with NHL overall [odds ratio (OR) = 1.30; 95% CI: 1.08, 1.56; p = 0.006; for one quartile increase] and in the study sites of Detroit (OR = 1.71; 95% CI: 1.02, 2.92; p = 0.045), Los Angeles (OR = 1.44; 95% CI: 1.00, 2.08; p = 0.049), and Iowa (OR = 1.76; 95% CI: 1.23, 2.53; p = 0.002). The index was marginally statistically significant in Seattle (OR = 1.39; 95% CI: 0.97, 1.99; p = 0.071). The most highly weighted chemicals for predicting risk overall were PCB congener 180 and propoxur. Highly weighted chemicals varied by study site; PCBs were more highly weighted in Detroit, and pesticides were more highly weighted in Iowa. Conclusions An index of chemical mixtures was significantly associated with NHL. Our results show the importance of evaluating chemical mixtures when studying cancer risk. Citation Czarnota J, Gennings C, Colt JS, De Roos AJ, Cerhan JR, Severson RK, Hartge P, Ward MH, Wheeler DC. 2015. Analysis of environmental chemical mixtures and non-Hodgkin lymphoma risk in the NCI-SEER NHL Study. Environ Health Perspect 123:965–970; http://dx.doi.org/10.1289/ehp.1408630
Identifying gender differences in reported occupational information from three US population-based case–control studies
Locke, Sarah J. , Colt, Joanne S., Stewart, Patricia A. , Armenti, Karla , Baris, Dalsu , Blair, Aaron, Chow, Wong‐Ho , Davis, Faith G., Roos, Anneclaire J. De , Hartge, Patricia, Johnson, Alison , Purdue, Mark P. , Rothman, Nathaniel , Schwartz, Kendra , Severson, Richard K., Friesen, Melissa C. , Cerhan, James R. , Cozen, Wendy , Karagas, Margaret Rita , Rothman, Nathaniel , Schwenn, Molly R. , Silverman, Debra T. , De Roos, Anneclaire J

Occupational and Environmental Medicine | March 28, 2014 | Volume: 71 | Issue: 12 | Pages: 855-864

10.1136/oemed-2013-101801 Get It

Objectives Growing evidence suggests that gender-blind assessment of exposure may introduce exposure misclassification, but few studies have characterised gender differences across occupations and industries. We pooled control responses to job-specific, industry-specific and exposure-specific questionnaires (modules) that asked detailed questions about work activities from three US population-based case–control studies to examine gender differences in work tasks and their frequencies. Methods We calculated the ratio of female-to-male controls that completed each module. For four job modules (assembly worker, machinist, health professional, janitor/cleaner) and for subgroups of jobs that completed those modules, we evaluated gender differences in task prevalence and frequency using χ2 and Mann–Whitney U tests, respectively. Results The 1360 female and 2245 male controls reported 6033 and 12 083 jobs, respectively. Gender differences in female:male module completion ratios were observed for 39 of 45 modules completed by ≥20 controls. Gender differences in task prevalence varied in direction and magnitude. For example, female janitors were significantly more likely to polish furniture (79% vs 44%), while male janitors were more likely to strip floors (73% vs 50%). Women usually reported more time spent on tasks than men. For example, the median hours per week spent degreasing for production workers in product manufacturing industries was 6.3 for women and 3.0 for men. Conclusions Observed gender differences may reflect actual differences in tasks performed or differences in recall, reporting or perception, all of which contribute to exposure misclassification and impact relative risk estimates. Our findings reinforce the need to capture subject-specific information on work tasks.
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

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

10.1182/blood-2012-05-427989 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.
A Case–Control Study of Occupational Exposure to Trichloroethylene and Non-Hodgkin Lymphoma
Purdue, Mark P. , Bakke, Berit, Stewart, Patricia A. , Roos, Anneclaire J. De , Schenk, Maryjean, Lynch, Charles F. , Morton, Lindsay M. , Cerhan, James R. , Severson, Richard K., Rothman, Nathaniel , Hartge, Patricia, Colt, Joanne S., Bernstein, Leslie , Cozen, Wendy , Davis, Scott , Cerhan, James R , Morton, Lindsay M , De Roos, Anneclaire J

Environmental Health Perspectives | November 2, 2010 | Volume: 119 | Issue: 2 | Pages: 232-238

10.1289/ehp.1002106 Get It

Abstract Background Previous epidemiologic findings suggest an association between exposure to trichloroethylene (TCE), a chlorinated solvent primarily used for vapor degreasing of metal parts, and non-Hodgkin lymphoma (NHL). Objectives We investigated the association between occupational TCE exposure and NHL within a population-based case–control study using detailed exposure assessment methods. Methods Cases (n = 1,189; 76% participation rate) and controls (n = 982; 52% participation rate) provided information on their occupational histories and, for selected occupations, on possible workplace exposure to TCE using job-specific interview modules. An industrial hygienist assessed potential TCE exposure based on this information and a review of the TCE industrial hygiene literature. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating NHL and different metrics of estimated TCE exposure, categorized using tertiles among exposed controls, with unexposed subjects as the reference group. Results We observed associations with NHL for the highest tertiles of estimated average weekly exposure (23 exposed cases; OR = 2.5; 95% CI, 1.1–6.1) and cumulative exposure (24 exposed cases; OR = 2.3; 95% CI, 1.0–5.0) to TCE. Tests for trend with these metrics surpassed or approached statistical significance (p-value for trend = 0.02 and 0.08, respectively); however, we did not observe dose–response relationships across the exposure levels. Overall, neither duration nor intensity of exposure was associated with NHL, although we observed an association with the lowest tertile of exposure duration (OR = 2.1; 95% CI, 1.0–4.7). Conclusions Our findings offer additional support for an association between high levels of exposure to TCE and increased risk of NHL. However, we cannot rule out the possibility of confounding from other chlorinated solvents used for vapor degreasing and note that our exposure assessment methods have not been validated.