Molecular and Population Genetics, Division of Genetics and Epidemiology, Institute of Cancer Research, Surrey, UK.
Haemato-Oncology Research Unit, Division of Molecular Pathology, Institute of Cancer Research, Surrey, UK.
Nat Genet. 2011 Nov 27;44(1):58-61. doi: 10.1038/ng.993.
To identify risk variants for multiple myeloma, we conducted a genome-wide association study of 1,675 individuals with multiple myeloma and 5,903 control subjects. We identified risk loci for multiple myeloma at 3p22.1 (rs1052501 in ULK4; odds ratio (OR) = 1.32; P = 7.47 × 10(-9)) and 7p15.3 (rs4487645, OR = 1.38; P = 3.33 × 10(-15)). In addition, we observed a promising association at 2p23.3 (rs6746082, OR = 1.29; P = 1.22 × 10(-7)). Our study identifies new genomic regions associated with multiple myeloma risk that may lead to new etiological insights.
为了鉴定多发性骨髓瘤的风险变异，我们对 1675 名多发性骨髓瘤患者和 5903 名对照进行了全基因组关联研究。我们在 3p22.1（ULK4 中的 rs1052501；比值比（OR）=1.32；P=7.47×10(-9))和 7p15.3（rs4487645，OR=1.38；P=3.33×10(-15))鉴定出多发性骨髓瘤的风险位点。此外，我们在 2p23.3（rs6746082，OR=1.29；P=1.22×10(-7))观察到一个有希望的关联。我们的研究确定了与多发性骨髓瘤风险相关的新基因组区域，这可能为新的病因学见解提供依据。
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