2013
DOI: 10.1038/ncomms3549
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Variation at 3p24.1 and 6q23.3 influences the risk of Hodgkin’s lymphoma

Abstract: In addition to HLA, recent genome-wide association studies (GWASs) of Hodgkin's lymphoma (HL) have identified susceptibility loci for HL at 2p16.1, 8q24.21 and 10p14. In this study, we perform a GWAS meta-analysis with published GWAS (totalling 1,465 cases and 6,417 controls of European background), and follow-up the most significant association signals in 2,024 cases and 1,853 controls. A combined analysis identifies new HL susceptibility loci mapping to 3p24.1 (rs3806624; P ¼ 1.14 Â 10 À 12 , odds ratio (OR)… Show more

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Cited by 61 publications
(84 citation statements)
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“…A detailed overview of the study material, the identification of samples of non-European origin, the plots of the principal components and the results is given in our previous paper. 6 The genome-wide Armitage trend test χ2 values showed minimal inflation of the test statistics proving the absence of substantial cryptic population substructure (genomic control inflation factor λ gc = 1.09). 6 By using PLINK software 18 we finally produced two subsets of data with SNPs in cases and controls that had either a minor allele frequency (MAF) of 40.01 or MAF of 40.05.…”
Section: Genomic Data: Quality Control Of Snp Genotypingmentioning
confidence: 99%
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“…A detailed overview of the study material, the identification of samples of non-European origin, the plots of the principal components and the results is given in our previous paper. 6 The genome-wide Armitage trend test χ2 values showed minimal inflation of the test statistics proving the absence of substantial cryptic population substructure (genomic control inflation factor λ gc = 1.09). 6 By using PLINK software 18 we finally produced two subsets of data with SNPs in cases and controls that had either a minor allele frequency (MAF) of 40.01 or MAF of 40.05.…”
Section: Genomic Data: Quality Control Of Snp Genotypingmentioning
confidence: 99%
“…Although the genomic control inflation factor was still small and mainly influenced by the distribution of cases collected across Germany, 6 genomic partitioning was used to check the final influence of the population structure. 20,32 Estimates were derived for chromosomes 1-7 and for the remaining chromosomes (8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22).…”
Section: Estimates Of the Variance Explained By Snpsmentioning
confidence: 99%
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“…[10][11][12] Other non-HLA susceptibility loci have been identified through GWAS. [13][14][15] The identification of genes with major susceptibility effects has been more difficult. A study of a family with a reciprocal translocation between chromosomes 2 and 3 segregating with HL led to the identification of a disruption in the gene KLDHC8B, which codes for a midbody kelch protein, hypothesized to disrupt cytokinesis thereby promoting tumorigenesis.…”
mentioning
confidence: 99%