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
  • [11] Meta-Analysis Revives Genome-Wide Association Studies in Epilepsy
    Poduri, Annapurna
    EPILEPSY CURRENTS, 2015, 15 (03) : 122 - 123
  • [12] Meta-analysis methods for genome-wide association studies and beyond
    Evangelou, Evangelos
    Ioannidis, John P. A.
    NATURE REVIEWS GENETICS, 2013, 14 (06) : 379 - 389
  • [13] Imputation Aware Meta-Analysis of Genome-Wide Association Studies
    Zaitlen, Noah
    Eskin, Eleazar
    GENETIC EPIDEMIOLOGY, 2010, 34 (06) : 537 - 542
  • [14] The Impact of Imputation on Meta-Analysis of Genome-Wide Association Studies
    Li, Jian
    Guo, Yan-fang
    Pei, Yufang
    Deng, Hong-Wen
    PLOS ONE, 2012, 7 (04):
  • [15] Optimal Methods for Meta-Analysis of Genome-Wide Association Studies
    Zhou, Baiyu
    Shi, Jianxin
    Whittemore, Alice S.
    GENETIC EPIDEMIOLOGY, 2011, 35 (07) : 581 - 591
  • [16] META-ANALYSIS OF GENOME-WIDE ASSOCIATION STUDIES OF ANXIETY DISORDERS
    Martin, Nick
    Otowa, Takeshi
    Lee, Minyoung
    Hartman, Catharina
    Oldehinkel, Albertine
    Preisig, Martin
    Grabe, Hans Joergen
    Middeldorp, Christel
    Penninx, Brenda
    Boomsma, Dorret
    Montgomery, Grant
    Wray, Naomi
    Tiemeier, Henning
    Hettema, John
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2017, 27 : S501 - S501
  • [17] Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects
    Lin, Dan-Yu
    Sullivan, Patrick F.
    AMERICAN JOURNAL OF HUMAN GENETICS, 2009, 85 (06) : 862 - 872
  • [18] GWAR: robust analysis and meta-analysis of genome-wide association studies
    Dimou, Niki L.
    Tsirigos, Konstantinos D.
    Elofsson, Arne
    Bagos, Pantelis G.
    BIOINFORMATICS, 2017, 33 (10) : 1521 - 1527
  • [19] GENOME-WIDE ASSOCIATION META-ANALYSIS OF GASTROPARESIS
    Tavares, Leticia C.
    Zheng, Tenghao
    Mitchell, Emily P.
    Kwicklis, Madeline
    Pandit, Anita
    Bernard, Cheryl
    Teder-Laving, Maris
    Marques, Francine
    Esko, Tonu
    Zawistowski, Matthew
    Kuo, Braden
    Shulman, Robert J.
    Chumpitazi, Bruno P.
    Koch, Kenneth L.
    Sarosiek, Irene
    Abell, Thomas
    McCallum, Richard W.
    Parkman, Henry P.
    Pasricha, Pankaj J.
    Hamilton, Frank A.
    Tonascia, James
    Farrugia, Gianrico
    Grover, Madhusudan
    D'Amato, Mauro
    GASTROENTEROLOGY, 2022, 162 (07) : S156 - S157
  • [20] Genetic variations and risk of placental abruption: A genome-wide association study and meta-analysis of genome-wide association studies
    Workalemahu, Tsegaselassie
    Enquobahrie, Daniel A.
    Gelaye, Bizu
    Sanchez, Sixto E.
    Garcia, Pedro J.
    Tekola-Ayele, Fasil
    Hajat, Anjum
    Thornton, Timothy A.
    Ananth, Cande V.
    Williams, Michelle A.
    PLACENTA, 2018, 66 : 8 - 16