Common variation at 3p22.1 and 7p15.3 influences multiple myeloma risk

• Published in: Nature genetics Vol. 44; no. 1; pp. 58 - 61
• Main Authors: Broderick, Peter, Chubb, Daniel, Johnson, David C, Weinhold, Niels, Försti, Asta, Lloyd, Amy, Olver, Bianca, Ma, Yussanne P, Dobbins, Sara E, Walker, Brian A, Davies, Faith E, Gregory, Walter A, Child, J Anthony, Ross, Fiona M, Jackson, Graham H, Neben, Kai, Jauch, Anna, Hoffmann, Per, Mühleisen, Thomas W, Nöthen, Markus M, Moebus, Susanne, Tomlinson, Ian P, Goldschmidt, Hartmut, Hemminki, Kari, Morgan, Gareth J, Houlston, Richard S
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.01.2012; Nature Publishing Group
• Subjects: 631/208/727/2000; 692/699/67/1990/804; Agriculture; Animal Genetics and Genomics; Biological and medical sciences; Biomedical and Life Sciences; Biomedicine; Cancer Research; Case-Control Studies; Chromosomes, Human, Pair 3; Chromosomes, Human, Pair 7; Colorectal cancer; Confidence intervals; Fundamental and applied biological sciences. Psychology; Gene Function; Genes; Genetic Predisposition to Disease; Genetic Variation; Genetics of eukaryotes. Biological and molecular evolution; Genome-Wide Association Study; Genomes; Genotype & phenotype; Health Sciences; Health services; Hematologic and hematopoietic diseases; Hospitals; Human Genetics; Humans; Hälsovetenskap; Immunodeficiencies. Immunoglobulinopathies; Immunoglobulinopathies; Immunopathology; Kinases; letter; Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis; Medical and Health Sciences; Medical research; Medical sciences; Medicin och hälsovetenskap; Multiple myeloma; Multiple Myeloma - genetics; Polymorphism, Single Nucleotide; Protein Serine-Threonine Kinases - genetics; Quality control; Risk Factors; Software; Studies; Immunopathology; Immunoglobulinopathy; Lymphoproliferative syndrome; Risk; Malignant hemopathy; Myeloma; Cancer
• ISSN: 1061-4036; 1546-1718; 1546-1718
• DOI: 10.1038/ng.993

Richard Houlston, Gareth Morgan, Kari Hemminki and colleagues report the results of a genome-wide association study of multiple myeloma. They identify two regions influencing susceptibility to this hematological malignancy. 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.