Literature DB >> 20639881

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

Lucia Conde1, 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.   

Abstract

To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).

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Year:  2010        PMID: 20639881      PMCID: PMC2913472          DOI: 10.1038/ng.626

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


Non-Hodgkin lymphoma (NHL) is a complex group of B- and T-cell neoplasms with >300,000 new cases diagnosed worldwide each year (http://www-dep.iarc.fr/globocan/database.htm). Family and epidemiological studies suggest an important genetic role in the etiology of lymphoma1, though the inherited genetic basis of the disease is largely unknown. Recently, we conducted a genome-wide association study (GWAS) of three common histological subtypes of NHL, follicular lymphoma (FL), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), and diffuse large B-cell lymphoma (DLBCL), using a pooled DNA genotyping strategy2. Due to experimental and technical noise associated with pooled DNA GWAS, we conducted a new individual genotyping-based study on a larger subset of NHL cases and control using a three-stage GWAS study design (Supplementary Table 1, Supplementary Fig. 1). In Stage 1, we conducted a GWAS using a subset of samples (SF1 study) chosen from a larger population-based case-control study of NHL based in the San Francisco Bay Area3. After applying quality control metrics (Supplementary Methods), 213 FL, 211 CLL/SLL and 257 DLBCL cases and 750 controls were included in the final statistical analysis of Stage 1. The genome-wide results for FL, CLL/SLL and DLBCL are represented in Supplementary Fig. 2a-c, where overall, 18 SNPs showed unadjusted trend p-values below a 10-5 threshold (Supplementary Table 2). The most notable findings were for SNPs associated with FL in the major histocompatibility complex (MHC) region on chromosome 6, concentrated around two independent peaks at 6p21.33 and 6p21.32 (r2<0.01; Figure 1). The strongest signal in 6p21.33 is located at the psoriasis susceptibility region 1 (PSORS1) (rs1265086, trend p-value=3.34×10-6, Supplementary Table 3), where we have previously detected a FL susceptibility locus2. The 6p21.32 association peak is located in a region encompassing the HLA-DR and HLA-DQ genes. Here, eight SNPs exhibited trend p-values ≤10-4 (Supplementary Table 3).
Figure 1

LD and association results for the FL-associated regions in the major histocompatibility complex (MHC)

In the main panel, trend p-values (as -log10) are shown for SNPs genotyped in the MHC region between positions 30,000Mb and 35,000Mb, where two independent FL-associated peaks were found. The first peak, represented by rs6457327 (in yellow), is located at 6p21.33 in the MHC Class I region. The second independent peak, represented by rs10484561 (in green), is located at 6p21.32 in the MHC Class II region. The secondary panel shows the SNPs genotyped (in black) and imputed (in red) in Stage 1 in a 500kb region centered on rs10484561 at 6p21.32. Imputations were based on data from HapMap Phase II release #22 in CEU population. Figure constructed using the snp.plotter R package (http://cbdb.nimh.nih.gov/∼kristin/snp.plotter.html).

In Stage 2, 40 SNPs with the lowest trend p-values for each NHL subtype (Supplementary Tables 4-6) were genotyped in two independent population-based case-control studies (SCALE4 for FL, Mayo-GEC5 for CLL/SLL) and in a separate sample of 118 DLBCL population-based cases and 651 controls (SF1B study) drawn from the same population as SF1 (Supplementary Table 1, Supplementary Fig. 1). Seven SNPs were associated with FL risk (p<0.05) in the SCALE study (Supplementary Table 7). The two SNPs with the lowest p-values, rs7755224 and rs10484561 (allelic p-values=6.30×10-5 and 1.20×10-5) are located in the MHC Class II region at 6p21.32. They are in complete linkage disequilibrium (LD) (r2=1.0) and lie, respectively, 16kb and 29kb upstream of HLA-DQB1. Four additional SNPs were associated with FL in the MHC region at 6p21.33, including the two SNPs, rs6457327 and rs2517448 (allelic p-values=2.90×10-2 and 3.45×10-2), previously reported in our pooled DNA GWAS2. Two SNPs with trend p-values <0.05 were positively associated with CLL/SLL risk in the Mayo-GEC study (rs735665 and rs484458, trend p-values=2.64×10-3 and 6.43×10-3; Supplementary Table 7). Located in an intergenic region on 11q24.1, rs735665 was previously reported as a risk allele for CLL in a genome scan by Di Bernardo and colleagues6. Interestingly, two other SNPs, rs872071 and rs9378805, reported to be highly associated with CLL in that study were ranked among the top 100 CLL/SLL SNPs in our Stage 1 GWAS (trend p-values = 7.17×10-4 and 1.75×10-4 respectively). None of the SNPs genotyped in Stage 2 for DLBCL showed evidence of association with disease risk (p-value<0.05). Failure to identify associated alleles may be due to the heterogeneity of DLBCL as evidenced from gene expression and immunophenotyping studies. In Stage 3, the nine SNPs associated with FL and CLL/SLL risk were genotyped in 873 FL, 471 CLL/SLL, 916 DLBCL cases and 4,470 controls recruited from six case-control studies of European descent participating in the InterLymph Consortium (Supplementary Table 1, Supplementary Fig. 1). Again, rs10484561 was associated with increased FL risk across all studies, with trend p-values ranging from 2.21×10-2 to 1.40×10-10 (Table 1). The combined p-value reached 1.12×10-29 in the meta-analysis of samples from all three stages (combined odds ratio [OR]=1.95, 95% confidence interval [CI] 1.72-2.22, Supplementary Table 8, Supplementary Fig. 3). No evidence was found of heterogeneity across studies (Cochran's Q statistic=5.61, d.f.=7, p-value=0.5857; I2 heterogeneity index=0%). Likewise, rs7755224 was associated with FL in the meta-analysis from all stages (combined p-value=2.00×10-19, OR=2.07, 95% CI 1.76-2.42, Supplementary Table 8, Supplementary Fig. 4) and no evidence was found of significant heterogeneity (Q=5.42, d.f.=3, p-value=0.1438; I2=44.6%). While the association between rs6457327 and FL was replicated in Stage 2, and in three other independent sample sets2, this association was poorly replicated in the smaller studies from Stage 3, resulting in a weaker combined p-value (6.64×10-6; OR=0.68, 95% CI 0.58-0.79, Supplementary Table 8) than previously reported2 (see Supplementary Table 9 for additional information).
Table 1

Summary statistics for association between rs10484561 and FL in all three stages.

StageDatasetPopulation# FL cases# controlsMAF (cases/controls)Variant allele OR (95% CI)Allelic OR (95% CI)Trend p-valueGenotypic p-value
1SF1SF Bay Area NHL2 study - USA2137500.21/0.132.06 (1.49-2.85)1.81 (1.36-2.39)3.21E-0055.88E-005
2SCALEDenmark/Sweden3797910.18/0.111.67 (1.26-2.20)1.71 (1.34-2.19)1.83E-0052.91E-005
3NCI-SEERUSA1534820.20/0.131.61 (1.05-2.46)1.73 (1.21-2.45)5.94E-0031.53E-003
NSWNew South Wales and Australian Capital Territory, Australia1413690.18/0.102.08 (1.32-3.27)1.93 (1.30-2.85)1.06E-0033.50E-003
YaleUSA984600.18/0.121.83 (1.12-2.99)1.61 (1.05-2.41)2.21E-0027.06E-002
BCBritish Columbia, Canada1746100.21/0.102.29 (1.57-3.33)2.30 (1.66-3.17)5.02E-0071.12E-006
EpiLymphCzech Republic, France, Germany, Ireland, Italy, and Spain19518640.25/0.122.50 (1.83-3.41)2.43 (1.89-3.12)1.40E-0101.12E-009
SF2SF Bay Area-NHL1 study USA1126850.20/0.141.72 (1.11-2.64)1.64 (1.13-2.35)9.24E-0033.36E-003
# total FL cases# total controlsCombined ORcCombined p-valued
146560111.95 (1.72-2.22)1.12E-029

OR = odds ratio, CI= confidence interval, FL=follicular lymphoma

Combined OR calculated using a fixed effect, inverse variance meta-analysis

Combined p-value calculated using a weighted z score-based meta-analysis

For CLL/SLL, rs735665 exhibited a trend p-value of 3.58×10-4 in Stage 3 and a combined p-value of 4.24×10-9 in the meta-analysis of all samples (OR=1.81, 95% CI 1.50-2.20; Supplementary Table 8). This finding confirms the previous association of rs735665 with CLL risk6, and further supports its role in CLL susceptibility. To search for additional FL-associated variants that were not genotyped in the HLA-DQB1 region in Stage 1, we imputed SNP genotypes in a 500kb region centered on rs10484561 (Figure 1). We identified four SNPs with imputed p-values<10-3 that were in complete LD with rs10484561 (D'=1, r2=1 in HapMap-CEU), although none showed stronger signals than rs10484561 or rs7755224 (Supplementary Table 10). These SNPs are located in a 100kb region of relatively high LD in chromosome 6p21.32 that covers HLA-DQB1 and HLA-DQA1, and in close proximity to HLA-DRB1. Logistic regression analysis conditional on the associated SNPs in the region suggested that none were independent signals (Supplementary Table 11), and that a single locus or haplotype in LD with rs10484561/rs7755224 may harbor the causal variant(s). Analysis of SNP interactions and preliminary functional analyses did not provide further refinement of the signal (Supplementary Methods). However, one of the imputed SNPs, rs6457614, reported as a tag SNP for the HLA-DQB1*0501 allele in European, African and Japanese populations7, suggested that the association signal may be driven by this protein variant. To verify our imputation, rs6457614 was genotyped in the SF1 study. We found 99% concordance between imputed and observed genotypes for rs6457614, which was in strong LD with rs10484561 (D′=0.99, r2=0.95 in controls). Because HLA-DRB1*0101 and HLA-DQA1*0101 form the most frequent haplotype containing HLA-DQB1*0501 in European American populations8, tag SNPs for these two MHC Class II alleles (rs4947332 and rs1794265, respectively)7 also were genotyped in SF1. Genotyping results revealed that markers for an extended haplotype that includes HLA-DRB1*0101-HLA-DQA1*0101-HLA-DQB1*0501-rs104845561 were associated with FL risk (OR=2.07, 95% CI=1.40-3.06, p-value=2.32×10-4). Several small studies have reported links between MHC Class II alleles and NHL9,10,11, with somewhat conflicting results that may be attributable to small sample size, the combined analysis of mixed NHL subtypes, and/or differences in ethnic groups being analyzed11. In a large pooled study within the InterLymph consortium, the variant allele for TNF-308G>A (rs1800629) and a TNF/LTA haplotype located in the MHC Class III region were positively associated with DLBCL risk, but no association was found for FL12. Further, MHC Class I and II alleles have been evaluated in the context of TNF extended haplotypes, which revealed independent positive associations for TNF-308A and HLA-B*0801 alleles in risk of DLBCL13. These loci are not in LD with rs10484561 in our controls (r2=0.014 for rs10484561 and TNF-308A; r2=0.007 and 0.001 for rs10484561 and HLA-B*0801 tag SNPs [rs6457374, rs2844535]7), suggesting that our signal is not driven by these MHC Class III and I loci. Importantly, the association found here in the MHC Class II region also appears to be independent of the FL susceptibility locus at PSORS12, since the LD block at HLA-DRB1-HLA-DQA1-HLA-DQB1 is located 1.43Mb downstream of the PSORS1 locus (Figure 1), and the LD measurement between rs6457327 and rs10484561 (r2<0.01) in our controls and in HapMap-CEU indicates no correlation between these loci. Results from conditional logistic regression analysis adjusted for the additive effects of rs6457327 in the SF1 study provided additional evidence for an independent role of rs10484561 (p-value=3.46×10-5) in FL risk. In conclusion, we have identified a new FL susceptibility locus at chromosome 6p21.32 with combined p-values of 1.12×10-29 and 2.00×10-19 for rs10484561 and rs7755224, respectively, providing evidence that genetic variation in the MHC Class II region is strongly associated with FL susceptibility. These loci appear to be part of an extended haplotype that includes HLA-DRB1*0101-HLA-DQA1*0101-HLA-DQB1*0501. Of note, although rs10484561 showed a trend towards association in DLBCL in SF1 (trend p-value=3.58×10-2), we did not observe markedly significant associations between the MHC region with risk of CLL/SLL or DLBCL (Supplementary Fig. 5), which suggests that the influence of MHC genetic variation differs by NHL subtype.
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Journal:  Leukemia       Date:  2010-02-11       Impact factor: 11.528

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Journal:  J Natl Cancer Inst       Date:  2005-02-02       Impact factor: 13.506

7.  Genetic variants at 6p21.33 are associated with susceptibility to follicular lymphoma.

Authors:  Christine F Skibola; Paige M Bracci; Eran Halperin; Lucia Conde; David W Craig; Luz Agana; Kelly Iyadurai; Nikolaus Becker; Angela Brooks-Wilson; John D Curry; John J Spinelli; Elizabeth A Holly; Jacques Riby; Luoping Zhang; Alexandra Nieters; Martyn T Smith; Kevin M Brown
Journal:  Nat Genet       Date:  2009-07-20       Impact factor: 38.330

8.  HLA class II polymorphism in Egyptian children with lymphomas.

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Journal:  Hematology       Date:  2004-04       Impact factor: 2.269

9.  Association of HLA alleles with non-Hodgkin's lymphoma in Korean population.

Authors:  Hee-Baeg Choi; Sang-Young Roh; Eun-Jung Choi; Ho-Yeul Yoon; Su-Yeon Kim; Young-Sun Hong; Dong-Wook Kim; Tai-Gyu Kim
Journal:  Int J Hematol       Date:  2008-02-27       Impact factor: 2.490

10.  A high-resolution HLA and SNP haplotype map for disease association studies in the extended human MHC.

Authors:  Paul I W de Bakker; Gil McVean; Pardis C Sabeti; Marcos M Miretti; Todd Green; Jonathan Marchini; Xiayi Ke; Alienke J Monsuur; Pamela Whittaker; Marcos Delgado; Jonathan Morrison; Angela Richardson; Emily C Walsh; Xiaojiang Gao; Luana Galver; John Hart; David A Hafler; Margaret Pericak-Vance; John A Todd; Mark J Daly; John Trowsdale; Cisca Wijmenga; Tim J Vyse; Stephan Beck; Sarah Shaw Murray; Mary Carrington; Simon Gregory; Panos Deloukas; John D Rioux
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Journal:  Tissue Antigens       Date:  2012-02-02

2.  Common variation at 6p21.31 (BAK1) influences the risk of chronic lymphocytic leukemia.

Authors:  Susan L Slager; Christine F Skibola; Maria Chiara Di Bernardo; Lucia Conde; Peter Broderick; Shannon K McDonnell; Lynn R Goldin; Naomi Croft; Amy Holroyd; Shelley Harris; Jacques Riby; Daniel J Serie; Neil E Kay; Timothy G Call; Paige M Bracci; Eran Halperin; Mark C Lanasa; Julie M Cunningham; Jose F Leis; Vicki A Morrison; Logan G Spector; Celine M Vachon; Tait D Shanafelt; Sara S Strom; Nicola J Camp; J Brice Weinberg; Estella Matutes; Neil E Caporaso; Rachel Wade; Martin J S Dyer; Claire Dearden; James R Cerhan; Daniel Catovsky; Richard S Houlston
Journal:  Blood       Date:  2012-06-13       Impact factor: 22.113

Review 3.  Familial predisposition and genetic risk factors for lymphoma.

Authors:  James R Cerhan; Susan L Slager
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Review 4.  Genome-Wide Association Studies of Cancer in Diverse Populations.

Authors:  Sungshim L Park; Iona Cheng; Christopher A Haiman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-06-21       Impact factor: 4.254

5.  Lymphoid malignancies in U.S. Asians: incidence rate differences by birthplace and acculturation.

Authors:  Christina A Clarke; Sally L Glaser; Scarlett L Gomez; Sophia S Wang; Theresa H Keegan; Juan Yang; Ellen T Chang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-04-14       Impact factor: 4.254

6.  eALPS: estimating abundance levels in pooled sequencing using available genotyping data.

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