Literature DB >> 22096508

Variation in effects of non-Hodgkin lymphoma risk factors according to the human leukocyte antigen (HLA)-DRB1*01:01 allele and ancestral haplotype 8.1.

Sophia S Wang1, Yani Lu, Nathaniel Rothman, Amr M Abdou, James R Cerhan, Anneclaire De Roos, Scott Davis, Richard K Severson, Wendy Cozen, Stephen J Chanock, Leslie Bernstein, Lindsay M Morton, Patricia Hartge.   

Abstract

Genetic variations in human leukocyte antigens (HLA) are critical in host responses to infections, transplantation, and immunological diseases. We previously identified associations with non-Hodgkin lymphoma (NHL) and the HLA-DRB1*01:01 allele and extended ancestral haplotype (AH) 8.1 (HLA-A*01-B*08-DR*03-TNF-308A). To illuminate how HLA alleles and haplotypes may influence NHL etiology, we examined potential interactions between HLA-DRB1*01:01 and AH 8.1, and a wide range of NHL risk factors among 685 NHL cases and 646 controls from a United States population-based case-control study. We calculated odds ratios and 95% confidence intervals by HLA allele or haplotype status, adjusted for sex, age, race and study center for NHL and two major subtypes using polychotomous unconditional logistic regression models. The previously reported elevation in NHL risk associated with exposures to termite treatment and polychlorinated biphenyls were restricted to individuals who did not possess HLA-DRB1*01:01. Previous associations for NHL and DLBCL with decreased sun exposure, higher BMI, and autoimmune conditions were statistically significant only among those with AH 8.1, and null among those without AH 8.1. Our results suggest that NHL risk factors vary in their association based on HLA-DRB1*01:01 and AH 8.1 status. Our results further suggest that certain NHL risk factors may act through a common mechanism to alter NHL risk. Finally, control participants with either HLA-DRB1*01:01 or AH 8.1 reported having a family history of NHL twice as likely as those who did not have either allele or haplotype, providing the first empirical evidence that HLA associations may explain some of the well-established relationship between family history and NHL risk.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22096508      PMCID: PMC3212525          DOI: 10.1371/journal.pone.0026949

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Human leukocyte antigens (HLA) are among the most polymorphic genes in humans and result in variations of the peptide-binding cleft, influencing the antigens bound and presented to T cells [1]. In general, HLA Class I molecules (HLA-A, -B, and -C) present foreign antigens to CD8+ cytotoxic T lymphocytes (CTL), and HLA Class II molecules (HLA-DR, -DQ, and -DP) present antigenic peptides to CD4+ T helper cells [2]. HLA play critical roles in human immunological diseases, transplantation, and host defense against infections including progression to the acquired immunodeficiency syndrome [3], all known risk factors for non-Hodgkin lymphoma (NHL). We previously conducted HLA Class I (A, B, C) and Class II (DR) genotyping in a population-based multi-center case-control study of NHL in the United States (U.S.). We reported HLA-DRB1*01:01 as a novel susceptibility allele in NHL risk [4], particularly for the follicular lymphoma subtype, which was consistent with results from a genome-wide association study [4]. We also previously reported the association between the pro-inflammatory cytokine, tumor necrosis factor (TNF) G-308A promoter polymorphism with NHL and specifically with diffuse large B-cell lymphoma (DLBCL) [5], a finding also confirmed in large consortial efforts [6], [7]. Although we previously evaluated the joint effects between TNF G-308A and NHL risk factors [8], we have since demonstrated that the ancestral haplotype 8.1 (AH 8.1: HLA-A*01-B*08-DR*03-TNFG-308A) whereby HLA alleles are in linkage disequilibrium with TNF, is associated with DLBCL [9]. Notably, all individuals with the HLA-A*01-B*08-DR*03 haplotype also have the variant TNF G-308A polymorphism in our population [9]. Because previous investigations have demonstrated elevated TNF-alpha expression among healthy individuals with AH 8.1, it is plausible that the AH 8.1 reflects a more accurate downstream phenotype, reflecting a synergistic relationship between TNF and HLA and chronic inflammatory status that would result in elevated DLBCL risk [10]. On the other hand, possession of HLA-DRB1*01:01 likely confers a different phenotype as it is associated with rheumatoid arthritis and may reflect propensity for generating autoantibodies. Confirmed risk factors for NHL include autoimmune conditions [11], certain infectious agents [12], and family history of lymphoma [13]. Suggestive associations also include increased NHL risk with smoking [14], obesity [15], and decreased NHL risk with alcohol intake [16] and sunlight [17]. A growing body of evidence also implicates organochlorine pesticides in NHL risk [18], [19]. Evidence for decreased NHL risk with atopic conditions (e.g., allergies and asthma) and vitamin B6, height, and later birth order has also been reported, but these associations require further replication [20]. To illuminate how HLA alleles and haplotypes may influence NHL etiology, we explored potential interactions between implicated HLA alleles and haplotypes, specifically HLA-DRB1*01:01 and AH 8.1, and NHL risk factors. Each of the risk factors has previously been independently evaluated and we include those for which associations consistent to the current body of literature were found [8]. Because the major subtypes of NHL differ in their pattern of some risk factors, we also examined the distinctive effects on the two major NHL subtypes, DLBCL and follicular lymphoma.

Materials and Methods

Study population

Details have been described elsewhere [5]. In brief, the multi-center National Cancer Institute – Surveillance, Epidemiology and End Results (NCI-SEER) NHL case-control study population comprised 1,321 NHL cases identified in four SEER registries (Iowa; Detroit, MI; Los Angeles, CA; Seattle, WA) aged 20–74 years and newly diagnosed between July 1998–June 2000 [5]. Cases were not known to have HIV infection. 1,057 population controls were identified by random digit dialing (<65 years) and from Medicare eligibility files (≥65 years). The response rate for cases was 59% and 44% for controls. Written informed consent was obtained from each participant prior to interview. All study participants were asked to provide a venous blood or mouthwash buccal cell sample. The present analysis was conducted on study participants who provided blood and for whom HLA typing was completed (685 cases, 646 controls). Results were nearly identical when we restricted the analysis to the 610 cases and 555 controls who self-reported to be non-Hispanic Caucasians and from whom sufficient DNA were available for HLA allelotyping [4], [9]. Because no association was observed between genotype and race or between race and risk factors evaluated, we present results for all participants to maximize our sample size and power for evaluation of interactions. This study was approved by the following institutional review boards: the Institutional Review Board of the NCI (NCI); the Health Sciences Institutional Review Board (USC); the Human Subjects Division Institutional Review Board (UW); the Fred Hutchinson Cancer Research Center Institutional Review Board (FHCRC); the Wayne State University Division of Research Institutional Review Road (Wayne State); and the University of Iowa Institutional Review Board (Iowa). Written consent was obtained from all participants included in the study.

Histopathology

Pathology information was derived from abstracted reports by the local diagnosing pathologist. All cases were histologically confirmed and coded according to the International Classification of Diseases for Oncology (ICD), 2nd Edition [21] and updated to the WHO/ICD-O-3. We evaluated risk for NHL and two major histologic subtypes: DLBCL (ICD-O-2: 9680-84, 9688) and follicular lymphoma (9690-91, 9695-98).

Laboratory methods

As previously described, DNA was extracted using Puregene Autopure DNA extraction kits (Gentra Systems, Minneapolis, MN) [5]. Four-digit HLA Class I (A, B, C) and Class II genotyping (DRB1) was conducted at NCI-Frederick (Frederick, MD) according to sequence-specific oligonucleotide probe (SSOP) hybridization and sequence-based typing protocols developed by the 13th International Histocompatibility Workshop [22]. HLA alleles were defined as presence or absence of the specific allele. TNF genotyping was conducted at the National Cancer Institute Core Genotyping Facility (Gaithersburg, MD, USA) using the Taqman (Foster City, CA, USA) platform. TNF G-308A was defined by genotype (GG (referent), GA and AA) [5]. HLA haplotypes were determined using ‘FastHap’, which determines haplotypes by expectation maximization (http://home.ncifcrf.gov/ccr/lgd/bioinformatics/index_n.asp) [9]. Agreement for quality control duplicates (n = 100) was more than 99%.

Questionnaire Risk Factor Data

Methods and details of data collection were previously described [8] and risk factors were categorized as previously reported [8]. All study participants were queried on: (i) family history defined as any first-degree family member having NHL or lymphoma not otherwise specified (yes, no); (ii) history of immune-related disorders (Sjogren's syndrome, lupus, Crohn's disease, ulcerative colitis, rheumatic heart disease, polymyalgia rheumatica, sarcoidosis, multiple sclerosis, uveitis, myasthenia gravis, polymyositis, dermatomyositis, and/or celiac disease) (yes, no); (iii) blood transfusions (yes, no); (iv) number of surgeries since birth (0–6, ≥7); (v) birth order (first/middle-born child, last born); (vi) height (<65, 65–70,71+ inches); (vii) body mass index (BMI) as weight (kg) divided by height (m) squared (<25, 25−<35, 35+ kg/m2); (viii) termite treatment via a detailed history of pesticide use in each residence occupied for at least 2 years since 1970 and whether the termite treatments occurred before or after 1988 when the termiticide chlordane was banned in the United States. To accommodate a large number of questions during the interview, we used a split-sample questionnaire design, with the core questions above queried for all respondents and additional questions for either group A (all black and 50% of non-black participants) or group B (50% of non-black participants). Additional questions included those on: (ix) asthma (yes, no) ; (x) vitamin B6 intake, dichomotomized by the median intake among controls (<0.97, ≥0.97 mg); (xi) smoking status (never, ever); (xii) alcohol intake (<1, ≥1 grams/week); (xiii) sunlight in teens and past 10 years (<14, ≥14 hours/week); eye color (brown, hazel, green/blue); and (xiv) hay fever and other allergies, excluding food allergies (yes, no). We note that for the each of the exposures queried as part of the split-sample, we have systematically compared the subgroup of participants to the overall population and have found them to be comparable [8].

Biospecimen-based exposures

alpha-Chlordane and PCB180 were measured from a subset of cases and controls from whom dust samples were collected and analyzed (682 cases, 513 controls) [18], [19], [23] (alpha-chlordane: <60.3, 60.3–5,870 ng/g; PCB180 (0–20.7; >20.7 ng/g). PCB180 and total furans were evaluated in plasma samples in a subset of 100 untreated cases and 100 controls [23]: PCB180 (≤28.7 , >28.7 ng/g lipid), total furans (≤0.057, >0.057 pg/g lipid).

Statistical Analysis

Independence of risk factors

Among controls, we calculated odds ratios (OR) and 95% confidence intervals (95% CI) for each risk factor with the dichotomized genotype, comparing the presence of a variant allele or haplotype with the absence of the allele or haplotype (Tables 1 and 2) using unconditional logistic regression. For ordinal risk factors with at least three values, we calculated the P-trend for a linear model.
Table 1

Risk factor distribution (demographics and family/medical history) by HLA-DRB1*01:01 and AH 8.1 (HLA-A*01-B*08-DR*03-TNF-308A) among controls in the NCI-SEER NHL multicenter case-control study (adjusted for age, education, sex, race, study center).

HLA-DRB1*0101 AH 8.1
AbsentPresentOR (95% CI)AbsentPresentOR (95% CI)
Select demographics
Sex
 Male283491.00 (reference)278381.00 (reference)
 Female233481.11 (0.71–1.774)235280.83 (0.49–1.41)
Race
 White442891.00 (reference)442621.00 (reference)
 Other/Unknown7480.52 (0.22–1.19)714NC
Age (y)
 <4580141.00 (reference)7991.00 (reference)
 45–64220350.88 (0.44–1.73)213321.32 (0.60–2.92)
 ≥65216481.12 (0.57–2.19)221250.88 (0.38–2.02)
 P-trend
Education (years)
 <124981.00 (reference)4571.00 (reference)
 12–15308631.44 (0.63–3.29)317390.77 (0.32–1.88)
 >15159261.19 (0.49–2.90)151200.69 (0.26–1.81)
 P-trend
Study site
 Seattle172271.00 (reference)159271.00 (reference)
 Detroit54172.29 (1.13–4.66)5880.92 (0.38–2.23)
 Iowa181381.23 (0.71–2.14)186240.75 (0.41–1.37)
 Los Angeles109151.04 (0.51–2.12)11070.44 (0.18–1.08)
Family and medical history
Family history of NHL
 No482871.00 (reference)481571.00 (reference)
 Yes148 2.81 (1.12–7.05) 1652.35 (0.81–6.82)
Autoimmune conditions
 No487951.00 (reference)489611.00 (reference)
 Yes292NC2451.62 (0.58–4.50)
Asthma
 No245401.00 (reference)233331.00 (reference)
 Yes3450.88 (0.31–2.5)3161.27 (0.46–3.52)
Allergy
 No95191.00 (reference)97141.00 (reference)
 Yes139321.29 (0.67–2.47)148130.50 (0.20–1.22)
Surgeries (total number)
 0–64771.00 (reference)4551.00 (reference)
 ≥7232380.72 (0.28–1.87)219341.44 (0.48–4.30)
Transfusion
 No408861.00 (reference)412561.00 (reference)
 Yes10011 0.44 (0.22–0.88) 9590.69 (0.32–1.48)
Birth order
 First/Middle168251.00 (reference)158221.00 (reference)
 Last48121.75 (0.79–3.89)4990.98 (0.39–2.42)

Abbreviations: AH 8.1: ancestral haplotype 8.1 (HLA-A*01-B*08-DR*03-TNF-308A); HLA: human leukocyte antigen; NC:not calculated due to n<5 in cell; NCI-SEER: National Cancer Institute Surveillance, Epidemiology & End Results; TNF: tumor necrosis factor.

Table 2

Risk factor distribution (anthropometrics, sunlight and environmental exposures) by HLA-DRB1*01:01 and AH 8.1 (HLA-A*01-B*08-DR*03-TNF-308A) among controls in the NCI-SEER NHL multicenter case-control study (adjusted for age, education, sex, race, study center).

HLA-DRB1*0101 AH 8.1
AbsentPresentOR (95% CI)AbsentPresentOR (95% CI)
Anthropometrics and diet
BMI (kg/m2)
 <25151301.00 (reference)151201.00 (reference)
 25 to <35290550.93 (0.56–1.54)288391.03 (0.57–1.85)
 ≥354560.65 (0.25–1.69)424NC
 P-trend0.440.7
Height (inches)
 <65123271.00 (reference)128131.00 (reference)
 65–70250380.79 (0.42–1.47)237311.43 (0.66–3.08)
 ≥71118261.24 (0.54–2.90)120191.90 (0.70–5.18)
 P-trend0.60.2
Smoking status
 Never95221.00 (reference)99111.00 (reference)
 Ever118261.01 (0.52–1.96)125140.98 (0.42–2.31)
Ethanol (grams/week)
 <186181.00 (reference)9371.00 (reference)
 ≥1121281.40 (0.67–2.92)122182.54 (0.98–6.59)
Vitamin B6 (milligrams)
 <0.97105191.00 (reference)101171.00 (reference)
 ≥0.97102271.50 (0.75–3.00)1148 0.39 (0.16–0.97)
Sunlight
Sun in teens (hours/week)
 ≥14170411.00 (reference)183181.00 (reference)
 <1461100.57 (0.26–1.26)5991.54 (0.63–3.81)
Sun in past 10 years (hours/week)
 ≥1485291.00 (reference)10371.00 (reference)
 <1414721 0.37 (0.18–0.75) 139202.25 (0.85–5.91)
Eye color
 Brown73161.00 (reference)7771.00 (reference)
 Hazel4191.02 (0.39–2.64)4451.40 (0.41–4.76)
 Green/blue120260.97 (0.46–2.06)124151.36 (0.53–3.53)
 P-trend0.980.6
Environmental exposures
Termite treatment <1988
 Not treated <1988364751.00 (reference)366481.00 (reference)
 None or DK7680.55 (0.25–1.23)7291.06 (0.48–2.34)
 ≥176141.08 (0.55–2.11)7591.19 (0.53–2.66)
 P-trend0.800.70
alpha-Chlordane (dust; ng/g)
 <60.3210471.00 (reference)210311.00 (reference)
 60.3–5,8705950.39 (0.14–1.06)563NC
PCB180 (dust; ng/g)
 0–20.7208401.00 (reference)211231.00 (reference)
 >20.761121.02 (0.49–2.16)55111.93 (0.82–4.41)
PCB180 (blood; ng/g)
 ≤28.72131.00 (reference)1941.00 (reference)
 >28.75611NC588NC
Total furans (blood; mol/g)
 ≤0.0571911.00 (reference)1911.00 (reference)
 >0.0575813NC5811NC

Abbreviations: AH 8.1: ancestral haplotype 8.1 (HLA-A*01-B*08-DR*03-TNF-308A); HLA: human leukocyte antigen; NC:not calculated due to n<5 in cell; NCI-SEER: National Cancer Institute Surveillance, Epidemiology & End Results; TNF: tumor necrosis factor.

Abbreviations: AH 8.1: ancestral haplotype 8.1 (HLA-A*01-B*08-DR*03-TNF-308A); HLA: human leukocyte antigen; NC:not calculated due to n<5 in cell; NCI-SEER: National Cancer Institute Surveillance, Epidemiology & End Results; TNF: tumor necrosis factor. Abbreviations: AH 8.1: ancestral haplotype 8.1 (HLA-A*01-B*08-DR*03-TNF-308A); HLA: human leukocyte antigen; NC:not calculated due to n<5 in cell; NCI-SEER: National Cancer Institute Surveillance, Epidemiology & End Results; TNF: tumor necrosis factor.

Effects of risk factors by genotype and p-interaction

For all NHL cases and for DLBCL and follicular lymphoma, we calculated OR and 95% CI for each risk factor using multivariable polychotomous unconditional logistic regression for case-control comparisons. In general, we chose as the reference group the category carrying the lowest NHL risk. To determine the p-interaction, we conducted the Wald Chi-square test for homogeneity of the associations with risk factors by genotype strata. All analyses were conducted using SAS 9.2 (SAS Institute). Although we calculated p-interaction, we evaluated our results based on comparison to previously known and demonstrated risk factors associations for NHL. Because statistically significant p-interactions can be generated based on risk estimates that go in different directions, our criteria for identifying notable results was equally based on determining whether statistically significant associations were observed and restricted to a specific HLA allele or genotype and null in the other allele or genotype, even if the p-interaction was not statistically significant.

Results

Associations among controls (Tables 1 and 2)

Among control participants, there was a two-fold association between those with either HLA-DRB1*01:01 or AH 8.1 and reporting having a family history of NHL, compared to those who did not have either allele or haplotype. The risk estimates for family history of NHL were generally similar but statistically significant for HLA-DRB1*01:01 (OR = 2.81, 95% CI = 1.12–7.05) but not AH 8.1 (OR = 2.35, 95% CI = 0.81–6.82). Transfusion history was inversely associated with both HLA-DRB1*01:01 (OR = 0.44, 95% CI = 0.22–0.88) and AH 8.1 (OR = 0.69, 95% CI = 0.32–1.48). Other risk factor associations among controls included vitamin B6 intake with AH 8.1 only and sun in past 10 years with HLA-DRB1*01:01 only. No other risk factors were associated with either HLA-DRB1*01:01 or AH 8.1. Abbreviations: CI, confidence intervals; DLBCL, diffuse large B-cell lymphoma; HLA, human leukocyte antigen; NC, not calculated due to n<5 in cell; NHL, non-Hodgkin lymphoma; OR, odds ratio.

Effects stratified by HLA-DRB1*01:01 (Tables 3 and 4)

For NHL, statistically significant interactions (p = 0.02) were observed between HLA-DRB1*01:01 and termite treatment before 1988 and blood-based exposures to PCB180 whereby previously reported 1.5-fold elevation in NHL risk for these environmental exposures were limited and statistically significantly only among individuals who did not have the HLA-DRB1*01:01 allele. There were no statistically significant interactions specific to DLBCL or follicular lymphoma, though sample size was limited. Abbreviations: CI, confidence intervals; DLBCL, diffuse large B-cell lymphoma; HLA, human leukocyte antigen; NC, not calculated due to n<5 in cell; NHL, non-Hodgkin lymphoma; OR, odds ratio.

Effects stratified by AH 8.1 (Tables 5 and 6)

We observed statistically significant interactions (p = 0.03) for NHL risk between sun exposure in the past 10 years, eye color and AH 8.1, where the previously reported two-fold NHL risk increase associated with lower sun exposure was restricted to and statistically significant only for individuals with the AH 8.1. The interaction (but not the risk estimate) between exposure to sun in the past 10 years remained statistically significant (p = 0.04) for DLBCL. The association between sun exposure in the past 10 years and NHL and DLBCL among individuals without the AH 8.1 was null. The previously reported risk associations between autoimmune conditions and BMI with DLBCL and between height and alpha-chlordane exposure with NHL were all statistically significant only among those with AH 8.1. Additionally, an association between self-reported allergies and NHL was also statistically significant only among those with AH 8.1. Among those without AH 8.1, associations for these NHL risk factors were null. There were no statistically significant interactions for follicular lymphoma.

Discussion

This exploratory evaluation of gene-environment interactions for a broad spectrum of NHL risk factors with implicated NHL risk loci, HLA-DRB1*01:01 and AH 8.1, suggests that environmental exposures may interact with HLA-DRB1*01:01 and sun-related exposures with AH 8.1 in altering NHL risk. Additionally, previously reported effects for autoimmune conditions and BMI with DLBCL also appeared restricted among those with AH 8.1. For sufficient power to confirm these observations, especially by NHL subtype, large consortial efforts will be required. Our observation that both HLA-DRB1*01:01 and AH 8.1 are associated with family history of NHL among the control participants offers the first evidence that HLA associations may explain some of the well-established relationship between family history and NHL risk [13]. Although this association may seem like an obvious one, our data provide the first empirical evidence for this association and, importantly, previously implicated single nucleotide polymorphisms (e.g., TNF and interleukin 10) with NHL have not in fact been shown to be associated with family history of NHL. Other associations between HLA-DRB1*01:01 and AH 8.1 with NHL risk factors among our control population with transfusion history, vitamin B6 intake and sun exposure, support the need for further research in delineating the interrelatedness versus independence of gene and environmental risk factors in understanding lymphoma etiology. Confirming these potential interactions between NHL risk factors with HLA-DRB1*01:01 and AH 8.1 offers important clues regarding potential mechanisms of action for the implicated risk factors. Interaction with HLA-DRB1*01:01 would implicate autoantibody production in triggering responses to antigens. On the other hand, AH 8.1 is thought to reflect synergistic effects between TNF and HLA which induces elevated TNF expression and inflammatory responses. Our results thus suggest that NHL risk factors that interact with AH 8.1 (e.g., sun exposure and BMI) might involve inflammatory mechanisms. Recreational sun exposure has been linked to decreased NHL risk in a number of studies and pooled analysis of case-control studies [17], but the mechanism behind this association is presently unknown and proposed mechanisms such as benefits from vitamin D have not been consistently supported in cohort studies [24]. Our previous analyses of gene-environment interactions and sun exposure did not reveal interactions with two candidate immune genes (TNF and IRF4) [25], [26] but our results here, which demonstrate interaction between AH 8.1 with sun exposure support the hypothesis that sun exposure may modulate NHL risk through altered immunity and inflammation. In addition, components of the AH 8.1, such as HLA-B*08, are associated with a number of autoimmune conditions and NHL risk factors, including systemic lupus erythematosis and Sjogren syndrome. Further investigation of potentially common mechanisms between these risk factors with NHL is thus warranted. Study strengths include our systematic approach to evaluating the joint effects of two important gene variations with a wide range of NHL risk factors observed in the present study that have been replicated in large pooled analyses or are consistent with the literature [8]. Study limitations include the small sample sizes for some analyses that resulted from the split-sample design of the parent study, decreasing our statistical power to detect significant interactions, particularly within subtypes. In our data interpretation, we assessed previously reported associations to determine whether these known associations were consistent by HLA DRB1*01:01 or AH 8.1 status, or if they were restricted and statistically significant by genotype or haplotype strata. Although we present p-interactions, we did not place sole emphasis on this statistic as they could easily be influenced by risk estimates that lean in opposite directions. Finally, we acknowledge that we may have failed to detect true interactions due to limited statistical power, imperfect measures of exposures and of genes, particularly as not all cis-SNPs necessarily effect local genes and we cannot rule out effects from a trans gene. Our results require replication in a large independent or pooled effort, such as within the InterLymph Consortium, and among prospective studies. In the emerging view of complex etiologies for NHL with potentially multiple paths to lymphomagenesis, HLA associations with NHL may explain a portion of the reported associations between family history and NHL risk. If confirmed in independent data, they provide important evidence that NHL risk factors, including environmental exposures to organochlorines, sun exposure/pigmentation, autoimmune conditions, and BMI, may vary according to a person's HLA-DRB1*01:01 or AH 8.1 status.
Table 3

Association (OR and 95% CI) for NHL, DLBCL, and follicular lymphoma for NHL-relevant risk factors (family/medical history and anthropometrics/diet), by HLA-DRB1*01:01 allele status and adjusted for age, education, sex, race, and study center.

All NHLDLBCLFollicular
AbsentPresentPAbsentPresentPAbsentPresentP
NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)
Family and medical history
 Family history of NHL
 No4991.00 (reference)1131.00 (reference)1361.00 (reference)301.00 (reference)1141.00 (reference)451.00 (reference)
 Yes211.11 (0.60–2.06)3NCNC4NC1NCNC51.13 (0.42–3.10)2NCNC
Autoimmune conditions
 No4941.00 (reference)1151.00 (reference)1321.00 (reference)301.00 (reference)1131.00 (reference)461.00 (reference)
 Yes321.27 (0.76–2.13)4NCNC91.26 (0.58–2.76)2NCNC71.26 (0.53–2.97)1NCNC
Asthma
 No2631.00 (reference)531.00 (reference)661.00 (reference)131.00 (reference)521.00 (reference)171.00 (reference)
 Yes250.72 (0.42–1.24)81.13 (0.49–2.64)0.3260.66 (0.26–1.66)2NCNC50.69 (0.26–1.84)3NCNC
Allergy
 No851.00 (reference)231.00 (reference)261.00 (reference)71.00 (reference)221.00 (reference)131.00 (reference)
 Yes1471.19 (0.82–1.72)341.02 (0.55–1.88)0.63431.10 (0.63–1.91)101.08 (0.39–2.99)0.98401.13 (0.63–2.03)130.64 (0.28–1.46)0.23
Surgeries (total number)
 0–6301.00 (reference)41.00 (reference)91.00 (reference)01.00 (reference)31.00 (reference)21.00 (reference)
 ≥72581.66 (0.99–2.76)57NCNC631.71 (0.75–3.87)15NCNC54 3.56 (1.03–12.2) 18NCNC
Transfusion
 No4461.00 (reference)911.00 (reference)1161.00 (reference)241.00 (reference)1041.00 (reference)361.00 (reference)
 Yes760.78 (0.57–1.09)271.49 (0.91–2.46)0.01240.95 (0.58–1.57)81.95 (0.81–4.66)0.14150.68 (0.38–1.24)101.34 (0.62–2.91)0.12
Birth order
 First/Middle1751.00 (reference)321.00 (reference)411.00 (reference)41.00 (reference)321.00 (reference)151.00 (reference)
 Last671.31 (0.87–1.99)171.87 (0.93–3.73)0.32191.60 (0.85–3.03)8NCNC21 2.19 (1.16–4.13) 3NCNC
Anthropometrics and diet
BMI (kg/m2)
 <251641.00 (reference)421.00 (reference)461.00 (reference)61.00 (reference)391.00 (reference)201.00 (reference)
 25–<352740.86 (0.65–1.13)620.73 (0.47–1.14)630.73 (0.47–1.13)221.93 (0.75–4.93)640.89 (0.57–1.40)210.57 (0.30–1.10)
 ≥35481.00 (0.64–1.57)120.89 (0.43–1.85)0.59181.39 (0.73–2.64)3NCNC50.40 (0.15–1.08)50.74 (0.26–2.13)0.90
Height (in.)
 <651231.00 (reference)271.00 (reference)331.00 (reference)61.00 (reference)231.00 (reference)131.00 (reference)
 65–702430.98 (0.70–1.39)511.06 (0.60–1.88)580.99 (0.58–1.72)110.77 (0.23–2.57)591.48 (0.83–2.64)190.91 (0.40–2.04)
 ≥711250.99 (0.62–1.56)381.78 (0.83–3.80)0.12381.39 (0.68–2.87)141.76 (0.42–7.34)0.51261.45 (0.66–3.18)141.99 (0.64–6.20)0.70
Smoking status
 Never921.00 (reference)221.00 (reference)291.00 (reference)61.00 (reference)261.00 (reference)91.00 (reference)
 Ever1080.97 (0.65–1.43)301.07 (0.56–2.02)0.77290.79 (0.43–1.43)91.26 (0.41–3.90)0.45240.79 (0.42–1.49)161.44 (0.59–3.56)0.25
Ethanol (g/wk)
 <11051.00 (reference)261.00 (reference)311.00 (reference)71.00 (reference)271.00 (reference)151.00 (reference)
 ≥193 0.47 (0.31–0.72) 270.53 (0.28–1.01)0.7327 0.49 (0.26–0.94) 90.54 (0.18–1.68)0.8722 0.37 (0.19–0.74) 9 0.24 (0.09–0.63) 0.43
 Vitamin B6 (mg)
 <0.971311.00 (reference)331.00 (reference)411.00 (reference)101.00 (reference)321.00 (reference)121.00 (reference)
 ≥0.9767 0.52 (0.35–0.77) 200.64 (0.34–1.20)0.5217 0.46 (0.24–0.86) 60.72 (0.25–2.10)0.4517 0.52 (0.27–1.00) 121.10 (0.46–2.63)0.15
Table 4

Association (OR and 95% CI) for NHL, DLBCL, and follicular lymphoma for NHL-relevant risk factors (sunlight, environmental exposures), by HLA-DRB1*01:01 allele status and adjusted for age, education, sex, race, and study center.

All NHLDLBCLFollicular
AbsentPresentPAbsentPresentPAbsentPresentP
NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)
Sunlight
Sun in teens (h/wk)
 ≥143391.00 (reference)851.00 (reference)511.00 (reference)121.00 (reference)461.00 (reference)221.00 (reference)
 <141221.13 (0.74–1.73)230.96 (0.47–1.95)0.64181.12 (0.60–2.11)51.63 (0.53–5.03)0.55151.00 (0.51–1.96)4NCNC
Sun in past 10 y (h/wk)
 ≥141731.00 (reference)551.00 (reference)291.00 (reference)141.00 (reference)191.00 (reference)91.00 (reference)
 <142911.14 (0.78–1.68)520.75 (0.40–1.39)0.18400.93 (0.52–1.67)3NCNC431.55 (0.84–2.89)171.31 (0.54–3.18)0.74
Eye color
 Brown1531.00 (reference)371.00 (reference)231.00 (reference)81.00 (reference)151.00 (reference)91.00 (reference)
 Hazel830.98 (0.58–1.65)150.45 (0.17–1.23)100.79 (0.34–1.83)1NC111.30 (0.55–3.10)3NC
 Green/blue2300.88 (0.58–1.34)560.76 (0.39–1.45)0.74360.91 (0.49–1.67)80.62 (0.22–1.79)NC361.56 (0.79–3.05)141.07 (0.44–2.64)NC
Environmental exposures
Termite treatment <1988
 Not treated <19883391.00 (reference)941.00 (reference)891.00 (reference)251.00 (reference)791.00 (reference)381.00 (reference)
 None or DK821.17 (0.82–1.66)150.90 (0.48–1.67)231.24 (0.72–2.15)4NC221.29 (0.74–2.25)60.83 (0.33–2.11)
 ≥1102 1.42 (1.01–1.99) 100.64 (0.31–1.31)0.0228 1.74 (1.04–2.91) 3NCNC191.16 (0.65–2.08)3NCNC
a-Chlordane (dust; ng/g)
 <60.32271.00 (reference)531.00 (reference)591.00 (reference)141.00 (reference)541.00 (reference)191.00 (reference)
 60.3–5,870711.21 (0.80–1.83)121.16 (0.56–2.42)0.9171.18 (0.85–1.64)4NCNC151.09 (0.78–1.53)51.14 (0.66–1.96)0.88
PCB180 (dust; ng/g)
 0–20.72171.00 (reference)481.00 (reference)581.00 (reference)141.00 (reference)521.00 (reference)171.00 (reference)
 >20.7811.36 (0.93–1.99)171.25 (0.66–2.38)0.8181.11 (0.60–2.06)4NCNC171.24 (0.66–2.33)71.71 (0.65–4.48)0.56
PCB180 (blood; ng/g lipid)
 ≤28.771.00 (reference)51.00 (reference)21.00 (reference)01.00 (reference)21.00 (reference)31.00 (reference)
 >28.765 3.93 (1.49–10.35) 100.66 (0.18–2.37) 0.02 91.61 (0.33–8.00)1NCNC122.31 (0.47–11.29)6NCNC
Total furans (blood; pg/g lipid)
 ≤0.05781.00 (reference)41.00 (reference)01.00 (reference)01.00 (reference)31.00 (reference)31.00 (reference)
 >0.05764 2.63 (1.03–6.72) 11NCNC11NA1NCNC111.09 (0.27–4.36)6NCNC

Abbreviations: CI, confidence intervals; DLBCL, diffuse large B-cell lymphoma; HLA, human leukocyte antigen; NC, not calculated due to n<5 in cell; NHL, non-Hodgkin lymphoma; OR, odds ratio.

Table 5

Association (OR and 95% CI) for NHL, DLBCL, and follicular lymphoma for NHL-relevant risk factors (family/medical history and anthropometrics/diet), by AH 8.1 status (adjusted for age, education, sex, race, and study center).

All NHLDLBCLFollicular
AbsentPresentPAbsentPresentPAbsentPresentP
NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)
Family and medical history
Family history of NHL
 No4991.00 (reference)811.00 (reference)1321.00 (reference)291.00 (reference)1301.00 (reference)191.00 (reference)
 Yes221.15 (0.62–2.13)2NCNC51.04 (0.38–2.85)0NCNC71.43 (0.58–3.49)0NCNC
Autoimmune conditions
 No5021.00 (reference)791.00 (reference)1331.00 (reference)241.00 (reference)1301.00 (reference)191.00 (reference)
 Yes261.00 (0.58–1.74)61.50 (0.6–3.78)0.460.82 (0.33–2.05)5 3.85 (1.31–11.3) 0.0271.07 (0.45–2.55)1NCNC
Asthma
 No2661.00 (reference)381.00 (reference)681.00 (reference)91.00 (reference)601.00 (reference)71.00 (reference)
 Yes230.64 (0.37–1.12)4NCNC60.61 (0.25–1.52)1NCNC3NC3NCNC
Allergy
 No911.00 (reference)121.00 (reference)271.00 (reference)51.00 (reference)281.00 (reference)41.00 (reference)
 Yes1421.09 (0.75–1.59)31 2.11 (1.01–4.4) 0.08380.97 (0.54–1.72)142.26 (0.75–6.84)0.16441.02 (0.59–1.77)6NCNC
Surgeries (total number)
 0–6281.00 (reference)21.00 (reference)71.00 (reference)21.00 (reference)31.00 (reference)01.00 (reference)
 ≥72611.80 (1.07–3.05)40NCNC671.89 (0.82–4.38)8NCNC60 3.72 (1.08–12.8) 10NCNC
Transfusion
 No4431.00 (reference)651.00 (reference)1131.00 (reference)221.00 (reference)1161.00 (reference)151.00 (reference)
 Yes820.88 (0.63–1.21)191.38 (0.78–2.45)0.12261.12 (0.69–1.84)61.20 (0.46–3.15)0.91190.80 (0.47–1.39)51.63 (0.55–4.80)0.24
Birth order
 First/Middle1681.00 (reference)251.00 (reference)381.00 (reference)51.00 (reference)391.00 (reference)51.00 (reference)
 Last711.40 (0.92–2.13)111.61 (0.73–3.55)0.73241.92 (1.06–3.49)3NCNC201.78 (0.93–3.42)4NCNC
Anthropometrics and diet
BMI (kg/m2)
 <251711.00 (reference)251.00 (reference)421.00 (reference)91.00 (reference)481.00 (reference)71.00 (reference)
 25–<352800.84 (0.64–1.11)420.79 (0.46–1.36)750.99 (0.64–1.53)80.41 (0.15–1.09)690.80 (0.52–1.22)120.81 (0.30–2.16)
 ≥35420.87 (0.54–1.40)131.79 (0.84–3.82)0.18121.12 (0.54–2.32)8 2.96 (1.05–8.29) 0.2580.58 (0.25–1.32)0NCNC
Height (in.)
 <651251.00 (reference)121.00 (reference)341.00 (reference)41.00 (reference)291.00 (reference)31.00 (reference)
 65–702410.99 (0.70–1.40)422.05 (0.97–4.31)550.90 (0.52–1.57)121.87 (0.53–6.67)651.31 (0.76–2.25)81.73 (0.41–7.42)
 ≥711321.03 (0.65–1.63)26 2.64 (1.04–6.71) 0.07421.38 (0.67–2.86)93.05 (0.64–14.6)0.4311.39 (0.67–2.91)84.17 (0.68–25.5)0.23
Smoking status
 Never931.00 (reference)181.00 (reference)271.00 (reference)81.00 (reference)291.00 (reference)51.00 (reference)
 Ever1090.95 (0.64–1.41)210.84 (0.41–1.73)0.74290.89 (0.49–1.64)70.53 (0.18–1.59)0.39310.92 (0.51–1.67)50.62 (0.17–2.33)0.58
Ethanol (g/wk)
 <11061.00 (reference)211.00 (reference)291.00 (reference)91.00 (reference)341.00 (reference)51.00 (reference)
 ≥196 0.50 (0.33–0.75) 17 0.41 (0.20–0.88) 0.63280.51 (0.27–0.99)60.34 (0.1–1.13)0.52250.30 (0.15–0.59)4NCNC
Vitamin B6 (mg)
 <0.971301.00 (reference)271.00 (reference)391.00 (reference)111.00 (reference)351.00 (reference)71.00 (reference)
 ≥0.9772 0.56 (0.38–0.84) 11 0.41 (0.19–0.89) 0.43180.49 (0.26–0.93)4NCNC240.69 (0.38–1.25)2NCNC
Table 6

Association (OR and 95% CI) for NHL, DLBCL, and follicular lymphoma for NHL-relevant risk factors (sunlight, environmental exposures), by AH 8.1 status (adjusted for age, education, sex, race, and study center).

All NHLDLBCLFollicular
AbsentPresentPAbsentPresentPAbsentPresentP
NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)NOR (95% CI)
Sunlight
Sun in teens (h/wk)
 ≥143581.00 (reference)511.00 (reference)491.00 (reference)121.00 (reference)571.00 (reference)81.00 (reference)
 <141161.03 (0.67–1.58)191.14 (0.51–2.56)0.8161.09 (0.56–2.10)72.33 (0.82–6.69)0.2150.85 (0.44–1.64)2NCNC
Sun in past 10 y (h/wk)
 ≥142021.00 (reference)201.00 (reference)351.00 (reference)71.00 (reference)261.00 (reference)21.00 (reference)
 <142730.91 (0.62–1.34)50 2.13 (1.00–4.56) 0.03300.54 (0.29–0.98)121.80 (0.62–5.25)0.04461.21(0.68–2.15)8NCNC
Eye color
 Brown1671.00 (reference)161.00 (reference)291.00 (reference)21.00 (reference)201.00 (reference)31.00 (reference)
 Hazel830.76 (0.45–1.31)131.46 (0.52–4.13)70.38 (0.15–0.97)4NC131.16 (0.52–2.60)1NC
 Green/blue2280.71 (0.46–1.07)411.76 (0.76–4.09)0.03290.54 (0.29–1.01)13NCNC391.26 (0.68–2.36)6NCNC
Environmental exposures
Termite treatment <1988
 Not treated <19883471.00 (reference)631.00 (reference)861.00 (reference)231.00 (reference)941.00 (reference)141.00 (reference)
 None or DK841.16 (0.81–1.65)100.85 (0.41–1.77)251.31 (0.77–2.25)2NC241.18 (0.69–2.02)3NC
 ≥1951.34 (0.95–1.90)110.97 (0.47–2.00)0.29281.80 (1.07–3.03)3NCNC191.01 (0.57–1.79)3NCNC
a-Chlordane (dust; ng/g)
 <60.32311.00 (reference)351.00 (reference)601.00 (reference)121.00 (reference)591.00 (reference)71.00 (reference)
 60.3–5,870621.03 (0.83–1.27)17 1.49 (1.04–2.12) 0.04161.08 (0.79–1.48)3NCNC151.02 (0.74–1.40)51.73 (0.95–3.13)0.11
PCB180 (dust; ng/g)
 0–20.72151.00 (reference)391.00 (reference)581.00 (reference)121.00 (reference)551.00 (reference)91.00 (reference)
 >20.7781.37 (0.92–2.02)131.22 (0.60–2.48)0.75181.17 (0.63–2.16)3NCNC191.20 (0.66–2.17)3NCNC
PCB180 (blood; ng/g lipid)
 ≤28.771.00 (reference)41.00 (reference)11.00 (reference)11.00 (reference)21.00 (reference)21.00 (reference)
 >28.7583.51 (1.31–9.39)14NCNC61.70 (0.18–16.07)3NCNC152.82 (0.59–13.54)3NCNC
Total furans (blood; pg/g lipid)
 ≤0.05791.00 (reference)31.00 (reference)01.00 (reference)01.00 (reference)41.00 (reference)21.00 (reference)
 >0.057561.89 (0.77–4.62)15NCNC7NC4NCNC131.02 (0.29–3.54)3NCNC

Abbreviations: CI, confidence intervals; DLBCL, diffuse large B-cell lymphoma; HLA, human leukocyte antigen; NC, not calculated due to n<5 in cell; NHL, non-Hodgkin lymphoma; OR, odds ratio.

  24 in total

1.  Population-based study of autoimmune conditions and the risk of specific lymphoid malignancies.

Authors:  Lesley A Anderson; Shahinaz Gadalla; Lindsay M Morton; Ola Landgren; Ruth Pfeiffer; Joan L Warren; Sonja I Berndt; Winnie Ricker; Ruth Parsons; Eric A Engels
Journal:  Int J Cancer       Date:  2009-07-15       Impact factor: 7.396

2.  Human leukocyte antigen (HLA) A1-B8-DR3 (8.1) haplotype, tumor necrosis factor (TNF) G-308A, and risk of non-Hodgkin lymphoma.

Authors:  A M Abdou; X Gao; W Cozen; J R Cerhan; N Rothman; M P Martin; S Davis; M Schenk; S J Chanock; P Hartge; M Carrington; S S Wang
Journal:  Leukemia       Date:  2010-02-11       Impact factor: 11.528

3.  Hepatitis C and non-Hodgkin lymphoma among 4784 cases and 6269 controls from the International Lymphoma Epidemiology Consortium.

Authors:  Silvia de Sanjose; Yolanda Benavente; Claire M Vajdic; Eric A Engels; Lindsay M Morton; Paige M Bracci; John J Spinelli; Tongzhang Zheng; Yawei Zhang; Silvia Franceschi; Renato Talamini; Elizabeth A Holly; Andrew E Grulich; James R Cerhan; Patricia Hartge; Wendy Cozen; Paolo Boffetta; Paul Brennan; Marc Maynadié; Pierluigi Cocco; Ramon Bosch; Lenka Foretova; Anthony Staines; Nikolaus Becker; Alexandra Nieters
Journal:  Clin Gastroenterol Hepatol       Date:  2008-04       Impact factor: 11.382

4.  Circulating 25-hydroxyvitamin D and risk of non-hodgkin lymphoma: Cohort Consortium Vitamin D Pooling Project of Rarer Cancers.

Authors:  Mark P Purdue; D Michal Freedman; Susan M Gapstur; Kathy J Helzlsouer; Francine Laden; Unhee Lim; Gertraud Maskarinec; Nathaniel Rothman; Xiao-Ou Shu; Victoria L Stevens; Anne Zeleniuch-Jacquotte; Demetrius Albanes; Kimberly Bertrand; Stephanie J Weinstein; Kai Yu; Lonn Irish; Ronald L Horst; Judith Hoffman-Bolton; Edward L Giovannucci; Laurence N Kolonel; Kirk Snyder; Walter Willett; Alan A Arslan; Richard B Hayes; Wei Zheng; Yong-Bing Xiang; Patricia Hartge
Journal:  Am J Epidemiol       Date:  2010-06-18       Impact factor: 4.897

5.  Tumor necrosis factor (TNF) and lymphotoxin-alpha (LTA) polymorphisms and risk of non-Hodgkin lymphoma in the InterLymph Consortium.

Authors:  Christine F Skibola; Paige M Bracci; Alexandra Nieters; Angela Brooks-Wilson; Silvia de Sanjosé; Ann Maree Hughes; James R Cerhan; Danica R Skibola; Mark Purdue; Eleanor Kane; Qing Lan; Lenka Foretova; Maryjean Schenk; John J Spinelli; Susan L Slager; Anneclaire J De Roos; Martyn T Smith; Eve Roman; Wendy Cozen; Paolo Boffetta; Anne Kricker; Tongzhang Zheng; Tracy Lightfoot; Pierluigi Cocco; Yolanda Benavente; Yawei Zhang; Patricia Hartge; Martha S Linet; Nikolaus Becker; Paul Brennan; Luoping Zhang; Bruce Armstrong; Alex Smith; Renee Shiao; Anne J Novak; Marc Maynadie; Stephen J Chanock; Anthony Staines; Theodore R Holford; Elizabeth A Holly; Nathaniel Rothman; Sophia S Wang
Journal:  Am J Epidemiol       Date:  2010-01-04       Impact factor: 4.897

6.  Organochlorine exposure, immune gene variation, and risk of non-Hodgkin lymphoma.

Authors:  Joanne S Colt; Nathaniel Rothman; Richard K Severson; Patricia Hartge; James R Cerhan; Nilanjan Chatterjee; Wendy Cozen; Lindsay M Morton; Anneclaire J De Roos; Scott Davis; Stephen Chanock; Sophia S Wang
Journal:  Blood       Date:  2008-12-09       Impact factor: 22.113

Review 7.  The HLA genomic loci map: expression, interaction, diversity and disease.

Authors:  Takashi Shiina; Kazuyoshi Hosomichi; Hidetoshi Inoko; Jerzy K Kulski
Journal:  J Hum Genet       Date:  2009-01-09       Impact factor: 3.172

8.  Autoimmune disorders and risk of non-Hodgkin lymphoma subtypes: a pooled analysis within the InterLymph Consortium.

Authors:  Karin Ekström Smedby; Claire M Vajdic; Michael Falster; Eric A Engels; Otoniel Martínez-Maza; Jennifer Turner; Henrik Hjalgrim; Paolo Vineis; Adele Seniori Costantini; Paige M Bracci; Elizabeth A Holly; Eleanor Willett; John J Spinelli; Carlo La Vecchia; Tongzhang Zheng; Nikolaus Becker; Silvia De Sanjosé; Brian C-H Chiu; Luigino Dal Maso; Pierluigi Cocco; Marc Maynadié; Lenka Foretova; Anthony Staines; Paul Brennan; Scott Davis; Richard Severson; James R Cerhan; Elizabeth C Breen; Brenda Birmann; Andrew E Grulich; Wendy Cozen
Journal:  Blood       Date:  2008-02-08       Impact factor: 22.113

9.  Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32.

Authors:  Lucia Conde; Eran Halperin; Nicholas K Akers; Kevin M Brown; Karin E Smedby; Nathaniel Rothman; Alexandra Nieters; Susan L Slager; Angela Brooks-Wilson; Luz Agana; Jacques Riby; Jianjun Liu; Hans-Olov Adami; Hatef Darabi; Henrik Hjalgrim; Hui-Qi Low; Keith Humphreys; Mads Melbye; Ellen T Chang; Bengt Glimelius; Wendy Cozen; Scott Davis; Patricia Hartge; Lindsay M Morton; Maryjean Schenk; Sophia S Wang; Bruce Armstrong; Anne Kricker; Sam Milliken; Mark P Purdue; Claire M Vajdic; Peter Boyle; Qing Lan; Shelia H Zahm; Yawei Zhang; Tongzhang Zheng; Nikolaus Becker; Yolanda Benavente; Paolo Boffetta; Paul Brennan; Katja Butterbach; Pierluigi Cocco; Lenka Foretova; Marc Maynadié; Silvia de Sanjosé; Anthony Staines; John J Spinelli; Sara J Achenbach; Timothy G Call; Nicola J Camp; Martha Glenn; Neil E Caporaso; James R Cerhan; Julie M Cunningham; Lynn R Goldin; Curtis A Hanson; Neil E Kay; Mark C Lanasa; Jose F Leis; Gerald E Marti; Kari G Rabe; Laura Z Rassenti; Logan G Spector; Sara S Strom; Celine M Vachon; J Brice Weinberg; Elizabeth A Holly; Stephen Chanock; Martyn T Smith; Paige M Bracci; Christine F Skibola
Journal:  Nat Genet       Date:  2010-07-18       Impact factor: 38.330

10.  Relationship between interferon regulatory factor 4 genetic polymorphisms, measures of sun sensitivity and risk for non-Hodgkin lymphoma.

Authors:  Allison H Gathany; Patricia Hartge; Scott Davis; James R Cerhan; Richard K Severson; Wendy Cozen; Nathaniel Rothman; Stephen J Chanock; Sophia S Wang
Journal:  Cancer Causes Control       Date:  2009-04-28       Impact factor: 2.506

View more
  4 in total

1.  The association between HLA and non-Hodgkin lymphoma subtypes, among a transplant-indicated population.

Authors:  Charlie Zhong; Loren Gragert; Martin Maiers; Brian T Hill; Jean Garcia-Gomez; Ketevan Gendzekhadze; David Senitzer; Joo Song; Dennis Weisenburger; Leanne Goldstein; Sophia S Wang
Journal:  Leuk Lymphoma       Date:  2019-06-19

Review 2.  Associations of non-Hodgkin Lymphoma (NHL) risk with autoimmune conditions according to putative NHL loci.

Authors:  Sophia S Wang; Claire M Vajdic; Martha S Linet; Susan L Slager; Jenna Voutsinas; Alexandra Nieters; Silvia de Sanjose; Wendy Cozen; Graciela S Alarcón; Otoniel Martinez-Maza; Elizabeth E Brown; Paige M Bracci; Tracy Lightfoot; Jennifer Turner; Henrik Hjalgrim; John J Spinelli; Tongzhang Zheng; Lindsay M Morton; Brenda M Birmann; Christopher R Flowers; Ora Paltiel; Nikolaus Becker; Elizabeth A Holly; Eleanor Kane; Dennis Weisenburger; Marc Maynadie; Pierluigi Cocco; Lenka Foretova; Anthony Staines; Scott Davis; Richard Severson; James R Cerhan; Elizabeth C Breen; Qing Lan; Angela Brooks-Wilson; Anneclaire J De Roos; Martyn T Smith; Eve Roman; Paolo Boffetta; Anne Kricker; Yawei Zhang; Christine Skibola; Stephen J Chanock; Nathaniel Rothman; Yolanda Benavente; Patricia Hartge; Karin E Smedby
Journal:  Am J Epidemiol       Date:  2015-02-23       Impact factor: 5.363

3.  Ancestral alleles in the human genome based on population sequencing data.

Authors:  Leeyoung Park
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

4.  HLA and Risk of Diffuse Large B cell Lymphoma After Solid Organ Transplantation.

Authors:  Shehnaz K Hussain; Solomon B Makgoeng; Matthew J Everly; Marc T Goodman; Otoniel Martínez-Maza; Lindsay M Morton; Christina A Clarke; Charles F Lynch; Jon Snyder; Ajay Israni; Bertram L Kasiske; Eric A Engels
Journal:  Transplantation       Date:  2016-11       Impact factor: 5.385

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.