Investigator Names and Contact Information

Sonja Berndt (berndts@mail.nih.gov)

Introduction/Intent

The genetic basis of non-Hodgkin lymphoma (NHL) has been a focus of lymphoma research for many years through both family and case-control studies. The candidate gene and candidate single nucleotide polymorphism (SNP) approach has been successful in studies of NHL in the US, Canada, Europe, and Australia, and particularly through pooled analyses of the InterLymph consortium. Further, taking advantage of new genomic technology, several genome-wide association studies (GWAS) for subtypes of NHL have been carried out by InterLymph case-control studies (e.g., UC Berkeley/UC San Francisco; SCALE; Mayo Clinic study; International CLL linkage consortium). We propose to conduct a comprehensive GWAS project in the context of this established consortium to identify the genetic variants that contribute to the etiology of NHL and in particular, the major histologic subtypes and their influence on survival, building on the success of InterLymph, a consortium of almost all active case-control studies of NHL worldwide, and the technical and scientific expertise of several of its members in GWAS.

The goal of this study is to conduct a genome-wide scan of NHL focusing on specific NHL subtypes with qualifying DNA samples from a subgroup of non-Hispanic Caucasian cases and controls from case-control studies in the InterLymph consortium and a subgroup of cases from cohorts in the Cohort Consortium. To optimize the genotype calling and complex quality control issues for a study drawing samples from many different sources, we plan to genotype cases and controls at a central facility, the NCI Core Genotyping Facility, using the Illumina® OmniExpress. We will scan the four most common NHL subtypes: 1) diffuse large B-cell lymphoma; 2) follicular lymphoma; 3) chronic lymphocytic leukemia/small lymphocytic lymphoma; and 4) marginal zone lymphoma from both case-control and cohort studies. Approximately 40-50% of controls from case-control studies will be frequency-matched to cases and scanned and combined with historical scanned data from controls in the cohort studies. Cases and all controls from case-control studies and cases from cohort studies that are not scanned will be genotyped by TaqMan or a similar technology for the most noteworthy findings that emerge from the genome-wide scans to increase statistical power to detect main effects and for eventual analysis of gene-gene and gene-environment interactions. A subgroup of controls from cohort studies may be genotyped by TaqMan for quality control purposes. In addition, controls from cohort studies that have already been matched to NHL cases for related biomarker studies will be genotyped by TaqMan for noteworthy findings.

We plan to conduct case-control comparisons for each SNP to identify etiologic susceptibility alleles for each NHL subtype and all NHL. Later, survival analyses for studies that have data on key outcome variables (e.g., death) will be analyzed. The new data will be combined when appropriate with results from GWAS that have been previously reported or are currently in progress (which have scanned in total about 1,800 cases and 2,000 controls from InterLymph case-control studies). We will also explore including case-series and clinical trials to increase our statistical power to detect effects for specific subtypes and on survival.

We anticipate a series of common subtype-specific publications followed by an analysis of the top findings to emerge from subtype-specific scans in all remaining NHL cases. The initial analyses of single SNP main effects and limited survival endpoints based on the merged genotype data set (scanned at NCI and elsewhere) will be conducted at the NCI. Upon completion of this first phase, the full genotype data set from the Interlymph case-control studies and, if agreed to, participating cohort studies, will be transferred to the InterLymph Data Coordinating Center at the Mayo Clinic to coordinate additional etiologic analyses including pathway-based, gene-gene and gene-environment interaction, and additional survival analyses. All components of the study, including selection of studies and samples for scanning and replication analysis, statistical analysis, and publication policy, will take place under the direction of the NHL GWAS Coordinating Committee, which will include representatives from all participating studies.

Aims

  1. To conduct a genome-wide association study of LM, to identify new genetic loci for specific LM, NHL subtypes, and NHL overall, and to conduct in depth subtype analyses and comparisons.
  2. To identify loci associated with survival and other related outcomes.
  3. To conduct further pathway, gene-gene, gene-environment, and heritability analyses as directed by the NHL/LM GWAS Coordinating Committee or proposed by study investigators

Data Dictionaries and Study Documentation

This section displays all study-related data dictionaries and study-related files. The investigators for this study will upload the datasets, data dictionaries, and other study-related files. Study-related files will be made available to the public one year after the completion of the ancillary study, with the exception of the datasets, which will only be available to those with a Data Distribution Agreement. Those will be available to those with permission to download and will appear as a download link next to the data dictionary

Data Dictionaries

Name
Description
No results found

Study Documents

Related Papers

Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Sonja I. Berndt et al., 2016/3 PubMed #26956414 MSID: 2711
Chronic lymphocytic leukemia (CLL) is a common lymphoid malignancy with strong heritability. To further understand the genetic susceptibility for CLL and identify common loci associated with risk, we conducted a meta-analysis of four genome-wide association studies (GWAS) composed of 3,100 cases and 7,667 controls with follow-up replication in 1,958 cases and 5,530 controls. Here we report three new loci at 3p24.1 (rs9880772, EOMES, P=2.55 × 10(-11)), 6p25.2 (rs73718779, SERPINB6, P=1.97 × 10(-8...
Related Studies: 301

Mosaic chromosomal variants and risk of non-Hodgkin lymphoma

Approved Proposal, Rothman, Nathaniel et al., 2014/4 MSID: 2402
Keywords: Non-Hodgkin Lymphoma; Genome-Wide Association Study; Polymorphism; Genetics; Mosaicism
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Estimation of the heritability of non-Hodgkin lymphoma

Approved Proposal, Berndt, Sonja I. et al., 2014/4 MSID: 2403
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A genome-wide association study of marginal zone lymphoma shows association to the HLA region

Publication, Vijai, Joseph et al., 2014/4 MSID: 2418
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Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

James Cerhan et al., 2014/9 PubMed #25261932 MSID: 1979
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marke...
Keywords: Non-Hodgkin Lymphoma; Genome-Wide Association Study; Polymorphism; Genetics; Snp
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Inherited variants at 3q13.33 and 3p24.1 are associated with risk of diffuse large B-cell lymphoma and implicate immune pathways

Approved Manuscript, Kleinstern, Geffen et al., 2019/2 MSID: 3819
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Polygenic risk scores of adiposity and risk of four non-Hodgkin lymphoma subtypes: a meta-analysis

Approved Manuscript, Moore, Amy et al., 2017/9 MSID: 3458
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Distinct genetic architecture identified for common non-Hodgkin lymphoma subtypes

Approved Manuscript, Berndt, Sonja I. et al., 2019/9 MSID: 4020
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Pleiotropy between non-Hodgkin lymphoma and other diseases and traits

Approved Proposal, Berndt, Sonja I. et al., 2017/3 MSID: 3310
Keywords: Non-Hodgkin Lymphoma; Pleiotropy; Cancer; Anthropometric Traits; Chronic Lymphocytic Leukemia; Skin Cancer; Disease
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Common genetic polymorphisms contribute to the association between chronic lymphocytic leukemia and non-melanoma skin cancer

Approved Manuscript, Besson, Caroline et al., 2019/10 MSID: 4034
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Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: a pooled analysis

Approved Manuscript, Purdue, Mark et al., 2022/1 MSID: 3328
Keywords: Non-Hodgkin Lymphoma; Cytokines; Immune Markers; Immune Activation; Molecular Epidemiology; Pooling Project
Related Studies: 301, BA13

Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region

Christine F Skibola et al., 2014/10 PubMed #25279986 MSID: 2419
Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18...
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Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

Mitchell Machiela et al., 2016/2 PubMed #27008888 MSID: 2817
Evidence from a small number of studies suggests longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk...
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Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Sonja I. Berndt et al., 2013/6 PubMed #23770605 MSID: 1994
Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)),...
Keywords: None Provided
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Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia

Mary L McMaster et al., 2018/10 PubMed #30305637 MSID: 3454
Waldenström macroglobulinemia (WM)/lymphoplasmacytic lymphoma (LPL) is a rare, chronic B-cell lymphoma with high heritability. We conduct a two-stage genome-wide association study of WM/LPL in 530 unrelated cases and 4362 controls of European ancestry and identify two high-risk loci associated with WM/LPL at 6p25.3 (rs116446171, near EXOC2 and IRF4; OR = 21.14, 95% CI: 14.40-31.03, P = 1.36 × 10-54) and 14q32.13 (rs117410836, near TCL1; OR = 4.90, 95% CI: 3.45-6.96, P = 8.75 × 10-19). Both risk ...
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Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma

Sasha Bernatsky et al., 2017/11 PubMed #29214033 MSID: 3036
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...
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Genome-wide homozygosity and risk of four non-Hodgkin lymphoma subtypes

Amy Moore et al., 2021/6 PubMed #34622145 MSID: 4019
Aim: Recessive genetic variation is thought to play a role in non-Hodgkin lymphoma (NHL) etiology. Runs of homozygosity (ROH), defined based on long, continuous segments of homozygous SNPs, can be used to estimate both measured and unmeasured recessive genetic variation. We sought to examine genome-wide homozygosity and NHL risk. Methods: We used data from eight genome-wide association studies of four common NHL subtypes: 3061 chronic lymphocytic leukemia (CLL), 3814 diffuse large B-cell lymphom...
Keywords: Non-Hodgkin Lymphoma; Chronic Lymphocytic Leukemia; Diffuse Large B-Cell Lymphoma; Follicular Lymphoma; Homozygosity; Marginal Zone Lymphoma
Related Studies: 301