Sophia S. Wang
United States Department of Health and Human Services
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Archive | 2006
Nathaniel Rothman; Christine F. Skibola; Sophia S. Wang; Gareth J. Morgan; Qing Lan; Martyn T. Smith; John J. Spinelli; Eleanor V. Willett; Silvia de Sanjosé; Pierluigi Cocco; Sonja I. Berndt; Paul Brennan; Angela Brooks-Wilson; Sholom Wacholder; Nikolaus Becker; Patricia Hartge; Tongzhang Zheng; Eve Roman; Alexandra Nieters
BACKGROUND Common genetic variants in immune and inflammatory response genes can affect the risk of developing non-Hodgkin lymphoma. We aimed to test this hypothesis using previously unpublished data from eight European, Canadian, and US case-control studies of the International Lymphoma Epidemiology Consortium (InterLymph). METHODS We selected 12 single-nucleotide polymorphisms for analysis, on the basis of previous functional or association data, in nine genes that have important roles in lymphoid development, Th1/Th2 balance, and proinflammatory or anti-inflammatory pathways (IL1A, IL1RN, IL1B, IL2, IL6, IL10, TNF, LTA, and CARD15). Genotype data for one or more single-nucleotide polymorphisms were available for 3586 cases of non-Hodgkin lymphoma and for 4018 controls, and were assessed in a pooled analysis by use of a random-effects logistic regression model. FINDINGS The tumour necrosis factor (TNF) -308G-->A polymorphism was associated with increased risk of non-Hodgkin lymphoma (p for trend=0.005), particularly for diffuse large B-cell lymphoma, the main histological subtype (odds ratio 1.29 [95% CI 1.10-1.51] for GA and 1.65 [1.16-2.34] for AA, p for trend <0.0001), but not for follicular lymphoma. The interleukin 10 (IL10) -3575T-->A polymorphism was also associated with increased risk of non-Hodgkin lymphoma (p for trend=0.02), again particularly for diffuse large B-cell lymphoma (p for trend=0.006). For individuals homozygous for the TNF -308A allele and carrying at least one IL10 -3575A allele, risk of diffuse large B-cell lymphoma doubled (2.13 [1.37-3.32], p=0.00083). INTERPRETATION Common polymorphisms in TNF and IL10, key cytokines for the inflammatory response and Th1/Th2 balance, could be susceptibility loci for non-Hodgkin lymphoma. Moreover, our results underscore the importance of consortia for investigating the genetic basis of chronic diseases like cancer.
Cancer Epidemiology, Biomarkers & Prevention | 2006
Anneclaire J. De Roos; Laura S. Gold; Sophia S. Wang; Patricia Hartge; James R. Cerhan; Wendy Cozen; Meredith Yeager; Stephen J. Chanock; Nathaniel Rothman; Richard K. Severson
Genes involved in metabolism of environmental chemical exposures exhibit sequence variability that may mediate the risk of non-Hodgkins lymphoma. We evaluated associations between non-Hodgkins lymphoma and 15 variants in AHR, CYP1A1, CYP1A2, CYP1B1, CYP2C9, CYP2E1, GSTP1, GSTM3, EPHX1, NQO1, and PON1. Cases were identified from four Surveillance, Epidemiology, and End Results registries in the United States, and population-based controls were identified through random-digit dialing and Medicare eligibility files. Metabolic gene variants were characterized for the 1,172 (89% of total) cases and 982 (93%) controls who provided biological samples for genotyping. Subjects who were heterozygous or homozygous for the cytochrome P450 gene variant CYP1B1 V432L G allele were at slightly greater risk of non-Hodgkins lymphoma [odds ratio (OR), 1.27; 95% confidence interval (95% CI), 0.97-1.65]; these results were consistent across B-cell lymphoma subtypes and among both non-Hispanic White and Black subjects, although not statistically significant. The CYP2E1 −1054T allele was associated with decreased risk of non-Hodgkins lymphoma (CT and TT genotypes combined OR, 0.59; 95% CI, 0.37-0.93), and this pattern was observed among all histologic subtypes. The numbers of cases of particular subtypes were rather small for stable estimates, but we noted that the PON1 L55M AA allele, associated with slightly increased risk of non-Hodgkins lymphoma (variant homozygotes OR, 1.36; 95% CI, 0.96-1.95), was most strongly associated with follicular non-Hodgkins lymphoma and T-cell lymphoma, with ORs for variant homozygotes of 2.12 and 2.93, respectively. There was no overall association with non-Hodgkins lymphoma for the other gene variants we examined. The modest effects we observed may reflect the context of exposures within the general population represented in our study. (Cancer Epidemiol Biomarkers Prev 2006;15(9):1647–53)
Cancer Causes & Control | 2008
J. Daniel Carreon; Lindsay M. Morton; Susan S. Devesa; Christina A. Clarke; Scarlett Lin Gomez; Sally L. Glaser; Lori C. Sakoda; Martha S. Linet; Sophia S. Wang
ObjectivesTo establish baseline data for lymphoid neoplasm incidence by subtype for six Asian-American ethnic groups.MethodsIncident rates were estimated by age and sex for six Asian ethnic groups—Asian Indian/Pakistani, Chinese, Filipino, Japanese, Korean, Vietnamese—in five United States cancer registry areas during 1996–2004. For comparison, rates for non-Hispanic Whites were also estimated.ResultsDuring 1996–2004, Filipinos had the highest (24.0) and Koreans had the lowest incidence (12.7) of total lymphoid neoplasms. By subtype, Vietnamese and Filipinos had the highest incidence for diffuse large B-cell lymphoma (DLBCL) (8.0 and 7.2); Japanese had the highest incidence of follicular lymphoma (2.3). Although a general male predominance of lymphoid neoplasms was observed, this pattern varied by lymphoid neoplasm subtype. Whites generally had higher rates than all Asian ethnic groups for all lymphoid neoplasms and most lymphoma subtypes, although the magnitude of the difference varied by both ethnicity and lymphoma subtype.ConclusionsThe observed variations in incidence patterns among Asian ethnic groups in the United States suggest that it may be fruitful to pursue studies that compare Asian populations for postulated environmental and genetic risk factors.
International Journal of Cancer | 2009
Lindsay M. Morton; Sophia S. Wang; Douglas A. Richesson; Arthur Schatzkin; Albert R. Hollenbeck; James V. Lacey
Reasons for higher incidence of lymphoid neoplasms among men than women are unknown. Because female sex hormones have immunomodulatory effects, reproductive factors and exogenous hormone use may affect risk for lymphoid malignancies. Previous epidemiologic studies on this topic have yielded conflicting results. Within the National Institutes of Health‐AARP Diet and Health Study cohort, we prospectively analyzed detailed, questionnaire‐derived information on menstrual and reproductive factors and use of oral contraceptives and menopausal hormone therapy among 134,074 US women. Using multivariable proportional hazards regression models, we estimated relative risks (RRs) for 85 plasma cell neoplasms and 417 non‐Hodgkin lymphomas (NHLs) identified during follow‐up from 1996 to 2002. We observed no statistically significant associations between plasma cell neoplasms, NHL, or the 3 most common NHL subtypes and age at menarche, parity, age at first birth, oral contraceptive use or menopausal status at baseline. For menopausal hormone therapy use, overall associations between NHL and unopposed estrogen and estrogen plus progestin were null, with the potential exception of an inverse association (RR = 0.49, 95% CI, 0.25–0.96) between use of unopposed estrogen and diffuse large B‐cell lymphoma (DLBCL), the most common NHL subtype, among women with a hysterectomy. These data do not support an important role for reproductive factors or exogenous hormones in modulating lymphomagenesis.
Immunogenetics | 2007
Qing Lan; Min Shen; Dino Garcia-Rossi; Stephen Chanock; Tongzhang Zheng; Sonja I. Berndt; Vinita Puri; Guilan Li; Xingzhou He; Robert Welch; Shelia Hoar Zahm; Luoping Zhang; Yawei Zhang; Martyn T. Smith; Sophia S. Wang; Brian C.-H. Chiu; Martha S. Linet; Richard B. Hayes; Nathaniel Rothman; Meredith Yeager
Selection and genetic drift can create genetic differences between populations. Cytokines and chemokines play an important role in both hematopoietic development and the inflammatory response. We compared the genotype frequencies of 45 SNPs in 30 cytokine and chemokine genes in two healthy Chinese populations and one Caucasian population. Several SNPs in IL4 had substantial genetic differentiation between the Chinese and Caucasian populations (FST ~0.40), and displayed a strikingly different haplotype distribution. To further characterize common genetic variation in worldwide populations at the IL4 locus, we genotyped 9 SNPs at the IL4 gene in the Human Diversity Panel’s (N = 1056) individuals from 52 world geographic regions. We observed low haplotype diversity, yet strikingly different haplotype frequencies between non-African populations, which may indicate different selective pressures on the IL4 gene in different parts of the world. SNPs in CSF2, IL6, IL10, CTLA4, and CX3CR1 showed moderate genetic differentiation between the Chinese and Caucasian populations (0.15 < FST < 0.25). These results suggest that there is substantial genetic diversity in immune genes and exploration of SNP associations with immune-related diseases that vary in incidence across these two populations may be warranted.
International Journal of Cancer | 2009
Sophia S. Wang; J. Daniel Carreon; Barrie Hanchard; Stephen Chanock; Michie Hisada
We evaluated whether risk of non‐Hodgkin lymphoma (NHL), particularly adult T‐cell leukemia/lymphoma (ATL) related to human T‐lymphotropic virus (HTLV) infection was associated with 63 single nucleotide polymorphisms (SNPs) from 38 candidate genes. The 395 NHL cases registered in Jamaica were matched by age, sex, calendar‐year and HTLV serostatus to 309 controls from the same population. Interleukin 13 (IL13) Ex4+98A>G SNP (rs20541) was associated with decreased NHL risk (ORAG/AA = 0.62,95% CI = 0.44–0.87, p = 0.006), as was vascular cell adhesion molecule‐1, VCAM1 Ex9+149G>A SNP (rs1041163) (ORCT = 0.77, 95% CI = 0.54–1.10, ORCC=0.35, 95% CI = 0.16–0.76, p‐trend = 0.007). Both results were stronger in analyses restricted to ATL cases and HTLV‐positive controls, suggesting a role for these genes in ATL etiology (IL13 ORAG/AA = 0.54, 95% CI = 0.36–0.84, p = 0.005; VCAM1 ORCT = 0.65, 95% CI = 0.42–1.01, ORCC = 0.20, 95% CI = 0.08–0.54, p‐trend = 0.001). Confirmation of these results in Caribbean and other populations is needed.
Human Genetics | 2006
Min Shen; Tongzhang Zheng; Qing Lan; Yawei Zhang; Shelia Hoar Zahm; Sophia S. Wang; Theodore R. Holford; Brian P. Leaderer; Meredith Yeager; Robert Welch; Daehee Kang; Peter Boyle; Bing Zhang; Kaiyong Zou; Yong Zhu; Stephen Chanock; Nathaniel Rothman
Blood | 2006
Deirdre A. Hill; Sophia S. Wang; James R. Cerhan; Scott Davis; Wendy Cozen; Richard K. Severson; Patricia Hartge; Sholom Wacholder; Meredith Yeager; Stephen J. Chanock; Nathaniel Rothman
Human Genetics | 2007
Qing Lan; Tongzhang Zheng; Min Shen; Yawei Zhang; Sophia S. Wang; Shelia Hoar Zahm; Theodore R. Holford; Brian P. Leaderer; Peter Boyle; Stephen Chanock
Carcinogenesis | 2006
Qing Lan; Tongzhang Zheng; Stephen Chanock; Yawei Zhang; Min Shen; Sophia S. Wang; Sonja I. Berndt; Shelia Hoar Zahm; Theodore R. Holford; Brian P. Leaderer; Meredith Yeager; Robert Welch; Dean Hosgood; Peter Boyle; Nathaniel Rothman