Open Access Research article

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

Christine F Skibola1*, Lucia Conde1, Jia-Nee Foo2, Jacques Riby1, Keith Humphreys3, Fenna CM Sillé1, Hatef Darabi3, Sylvia Sanchez1, Henrik Hjalgrim4, Jianjun Liu2, Paige M Bracci5 and Karin E Smedby6

Author Affiliations

1 School of Public Health, Division of Environmental Health Sciences, University of California, Berkeley, 94720, CA, USA

2 Human Genetics, Genome Institute of Singapore, A*STAR, 138673, Singapore

3 Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

4 Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark

5 Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, 94143, USA

6 Unit of Clinical Epidemiology, Dept of Medicine Solna, Karolinska Institutet, Stockholm, Sweden

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BMC Genomics 2012, 13:516  doi:10.1186/1471-2164-13-516

Published: 1 October 2012

Additional files

Additional file 1:

Table S1. List of single-nucleotide polymorphisms (SNPs) that were significantly (random effects p-value < 10-4) associated with risk of follicular lymphoma (FL) in the meta-analysis of 592 FL cases and 1541 controls from Denmark/Sweden (SCALE) and the San Francisco Bay Area (SF-NHL2) studies. Table S2. Results for the 11 single-nucleotide polymorphisms (SNPs) selected for validation in an independent follicular lymphoma case–control study from the SF Bay Area (SF-NHL1). Table S3. Meta-analysis of the combined GWAS and validation datasets for the 11 SNPs selected for validation. Table S4. Logistic regression results for the validated SNPs in the SF-NHL2 and SCALE GWAS. P-values were computed in a logistic regression model with and without adjustment for established FL-associated SNPs. Table S5. Case–control frequencies and association p-values for the most frequent HLA-DPB1/rs3117222 haplotypes in the SF-NHL2 population.

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