2016
DOI: 10.1038/ncomms12050
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Genome-wide association study identifies multiple susceptibility loci for multiple myeloma

Abstract: Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power to discover risk loci. Here we perform a meta-analysis of these GWAS, add a new GWAS and perform replication analyses resulting in 9,866 cases and 239,188 controls. We confirm all nine known risk loci and discover eight new loci at 6p22.3 (rs34229995, P=1.31 × 10−8), 6q21 (rs9372120, P=9.09 × … Show more

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Cited by 143 publications
(140 citation statements)
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“…As expected from the small sample size, we did not detect any variants with exome-wide significance. Looking specifically for rare variants in genes known to be associated with MM [16][17][18][19]24 (supplemental Table 3) and genes frequently somatically mutated in MM plasma cells 25,26 (supplemental Methods), we detected 10 nonsynonymous variants with minor allele frequency less than 1%. Only 2 of these were found in more than 1 case, and none of them were obviously pathogenic (supplemental Table 5).…”
Section: Resultsmentioning
confidence: 99%
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“…As expected from the small sample size, we did not detect any variants with exome-wide significance. Looking specifically for rare variants in genes known to be associated with MM [16][17][18][19]24 (supplemental Table 3) and genes frequently somatically mutated in MM plasma cells 25,26 (supplemental Methods), we detected 10 nonsynonymous variants with minor allele frequency less than 1%. Only 2 of these were found in more than 1 case, and none of them were obviously pathogenic (supplemental Table 5).…”
Section: Resultsmentioning
confidence: 99%
“…We then extracted the genotypes of tag SNPs for the 16 risk loci that have been robustly associated with MM (supplemental Table 3) and quantified risk allele burden using 2 different scores: 1 calculated as the total number of risk alleles and 1 calculated by summarizing the number of risk alleles weighted by their log-transformed odds ratios (ORs) across all loci. For this, we used the ORs reported in Mitchell et al 18 (supplemental Table 3). To avoid statistical inflation resulting from relatedness, gene scores from individuals from the same family were averaged.…”
Section: Methodsmentioning
confidence: 99%
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“…Iman Meziane, 1 10 Anna Jauch, 11 Gareth J. Morgan, 3 Richard Houlston, 9,10 Hartmut Goldschmidt, 2,12 Paolo Milani, 13,14 Giampaolo Merlini, 13,14 …”
Section: 15mentioning
confidence: 99%