A meta-analysis of genome-wide association studies of follicular lymphoma

被引:18
|
作者
Skibola, Christine F. [1 ]
Conde, Lucia [1 ]
Foo, Jia-Nee [2 ]
Riby, Jacques [1 ]
Humphreys, Keith [3 ]
Sille, Fenna C. M. [1 ]
Darabi, Hatef [3 ]
Sanchez, Sylvia [1 ]
Hjalgrim, Henrik [4 ]
Liu, Jianjun [2 ]
Bracci, Paige M. [5 ]
Smedby, Karin E. [6 ]
机构
[1] Univ Calif Berkeley, Sch Publ Hlth, Div Environm Hlth Sci, Berkeley, CA 94720 USA
[2] ASTAR, Genome Inst Singapore, Human Genet, Singapore 138673, Singapore
[3] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[4] Statens Serum Inst, Dept Epidemiol Res, DK-2300 Copenhagen, Denmark
[5] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
[6] Karolinska Inst, Dept Med Solna, Clin Epidemiol Unit, Stockholm, Sweden
来源
BMC GENOMICS | 2012年 / 13卷
基金
美国国家卫生研究院; 英国医学研究理事会; 瑞典研究理事会;
关键词
Follicular lymphoma (FL); Genome-wide association studies (GWAS); Human leukocyte antigen (HLA); Meta-analysis; CLASS-II; SUSCEPTIBILITY; VISUALIZATION; EXPRESSION;
D O I
10.1186/1471-2164-13-516
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: B-cell non-Hodgkin lymphoma represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is one of the most common subtypes. Family and epidemiological studies suggest an important genetic role in the etiology of FL. In recent genome-wide association studies (GWAS) of FL, several genetic susceptibility loci have been identified on chromosome 6p21.33 (rs6457327) and 6p21.32 (rs10484561, rs2647012) in the human leukocyte antigen class I and class II regions. To identify new genetic variants and further elucidate the genetic basis of FL, a meta-analysis was performed of the top 1000 SNPs associated with FL risk from two GWAS in the US, Denmark and Sweden (592 cases, 1541 controls), with independent validation in 107 cases and 681 controls. Results: rs9275517 and rs3117222 in the HLA class II region were validated and inversely associated with FL risk (rs9275517: OR = 0.63, 95% CI = 0.55-0.73, p = 4.03 x 10(-11); rs3117222: OR = 0.66, 95% CI = 0.57-0.77, p = 1.45 x 10(-7)). rs9275517, which is in high linkage disequilibrium with rs2647012 (r2 = 0.9), was no longer associated with FL after conditioning on rs2647012. The rs3117222 association was independent of established FL SNPs, but not of the HLA-DPB1*0301 allele. Using publicly available gene expression profiles with matching genotype information, we found that rs3117222 also was significantly correlated with increased HLA-DPB1 expression. Conclusions: By performing a meta-analysis of two GWAS of FL, we further validated the relevance of HLA-DPB1*0301 as a protective allele in the pathogenesis of FL. Moreover, the protective rs3117222 A allele correlated with increased levels of HLA-DPB1, suggesting a possible disease mechanism involving HLA-DPB1 expression regulation. Our results add further support to the major role of HLA genetic variation in the pathogenesis of FL.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A meta-analysis of genome-wide association studies of follicular lymphoma
    Christine F Skibola
    Lucia Conde
    Jia-Nee Foo
    Jacques Riby
    Keith Humphreys
    Fenna CM Sillé
    Hatef Darabi
    Sylvia Sanchez
    Henrik Hjalgrim
    Jianjun Liu
    Paige M Bracci
    Karin E Smedby
    BMC Genomics, 13
  • [2] Meta-analysis of genome-wide association studies identifies novel susceptibility loci for follicular lymphoma
    Skibola, Christine F.
    Berndt, Sonja I.
    Cerhan, James R.
    Wang, Zhaoming
    Vijai, Joseph
    Conde, Lucia
    de Bakker, Paul
    Wang, Sophia S.
    Vajdic, Claire M.
    Birmann, Brenda M.
    Slager, Susan L.
    Mckay, James
    Bracci, Paige M.
    Nieters, Alexandra
    Lan, Qing
    Brooks-Wilson, Angela R.
    Linet, Martha S.
    Albanes, Demetrius
    Spinelli, John J.
    Vermeulen, Roel C. H.
    Purdue, Mark P.
    Yaeger, Meredith
    Teras, Lauren R.
    de Sanjose, Silvia
    Monnereau, Alain
    Crouch, Simon
    Foo, Jia Nee
    Hjalgrim, Henrik
    Severi, Gianluca
    Link, Brian K.
    Bertrand, Kimberly A.
    Zhang, Yawei
    Smedby, Karin E.
    Chanock, Stephen J.
    Rothman, Nathaniel
    CANCER RESEARCH, 2014, 74 (19)
  • [3] The meta-analysis of genome-wide association studies
    Thompson, John R.
    Attia, John
    Minelli, Cosetta
    BRIEFINGS IN BIOINFORMATICS, 2011, 12 (03) : 259 - 269
  • [4] Meta-analysis in genome-wide association studies
    Zeggini, E.
    Ioannidis, J. P. A.
    PHARMACOGENOMICS, 2009, 10 (02) : 191 - 201
  • [5] On individual genome-wide association studies and their meta-analysis
    Pei, Yu-Fang
    Zhang, Lei
    Papasian, Christopher J.
    Wang, Yu-Ping
    Deng, Hong-Wen
    HUMAN GENETICS, 2014, 133 (03) : 265 - 279
  • [6] On individual genome-wide association studies and their meta-analysis
    Yu-Fang Pei
    Lei Zhang
    Christopher J. Papasian
    Yu-Ping Wang
    Hong-Wen Deng
    Human Genetics, 2014, 133 : 265 - 279
  • [7] The Power of Meta-Analysis in Genome-Wide Association Studies
    Panagiotou, Orestis A.
    Willer, Cristen J.
    Hirschhorn, Joel N.
    Ioannidis, John P. A.
    ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, VOL 14, 2013, 14 : 441 - 465
  • [8] Meta-analysis of genome-wide association studies for personality
    M H M de Moor
    P T Costa
    A Terracciano
    R F Krueger
    E J C de Geus
    T Toshiko
    B W J H Penninx
    T Esko
    P A F Madden
    J Derringer
    N Amin
    G Willemsen
    J-J Hottenga
    M A Distel
    M Uda
    S Sanna
    P Spinhoven
    C A Hartman
    P Sullivan
    A Realo
    J Allik
    A C Heath
    M L Pergadia
    A Agrawal
    P Lin
    R Grucza
    T Nutile
    M Ciullo
    D Rujescu
    I Giegling
    B Konte
    E Widen
    D L Cousminer
    J G Eriksson
    A Palotie
    L Peltonen
    M Luciano
    A Tenesa
    G Davies
    L M Lopez
    N K Hansell
    S E Medland
    L Ferrucci
    D Schlessinger
    G W Montgomery
    M J Wright
    Y S Aulchenko
    A C J W Janssens
    B A Oostra
    A Metspalu
    Molecular Psychiatry, 2012, 17 : 337 - 349
  • [9] Meta-analysis of genome-wide association studies for personality
    de Moor, M. H. M.
    Costa, P. T.
    Terracciano, A.
    Krueger, R. F.
    de Geus, E. J. C.
    Toshiko, T.
    Penninx, B. W. J. H.
    Esko, T.
    Madden, P. A. F.
    Derringer, J.
    Amin, N.
    Willemsen, G.
    Hottenga, J-J
    Distel, M. A.
    Uda, M.
    Sanna, S.
    Spinhoven, P.
    Hartman, C. A.
    Sullivan, P.
    Realo, A.
    Allik, J.
    Heath, A. C.
    Pergadia, M. L.
    Agrawal, A.
    Lin, P.
    Grucza, R.
    Nutile, T.
    Ciullo, M.
    Rujescu, D.
    Giegling, I.
    Konte, B.
    Widen, E.
    Cousminer, D. L.
    Eriksson, J. G.
    Palotie, A.
    Peltonen, L.
    Luciano, M.
    Tenesa, A.
    Davies, G.
    Lopez, L. M.
    Hansell, N. K.
    Medland, S. E.
    Ferrucci, L.
    Schlessinger, D.
    Montgomery, G. W.
    Wright, M. J.
    Aulchenko, Y. S.
    Janssens, A. C. J. W.
    Oostra, B. A.
    Metspalu, A.
    MOLECULAR PSYCHIATRY, 2012, 17 (03) : 337 - 349
  • [10] Meta-analysis methods for genome-wide association studies and beyond
    Evangelos Evangelou
    John P. A. Ioannidis
    Nature Reviews Genetics, 2013, 14 : 379 - 389