Neuroblastoma is a malignant condition of the developing sympathetic nervous system that most commonly affects young children and is often lethal. Its cause is not known. We performed a genomewide association study by first genotyping blood DNA samples from 1032 patients with neuroblastoma and 2043 control subjects of European descent using the Illumina HumanHap550 BeadChip. Samples from three independent groups of patients with neuroblastoma (a total of 720 patients) and 2128 control subjects were then genotyped to replicate significant associations. We observed a significant association between neuroblastoma and the common minor alleles of three consecutive single-nucleotide polymorphisms (SNPs) at chromosome band 6p22 and containing the predicted genes FLJ22536 and FLJ44180 (P=1.71×10^–9 to 7.01×10^–10; allelic odds ratio, 1.39 to 1.40). Homozygosity for the at-risk G allele of the most significantly associated SNP, rs6939340, resulted in an increased likelihood of the development of neuroblastoma (odds ratio, 1.97; 95% confidence interval, 1.58 to 2.45). Subsequent genotyping of the three 6p22 SNPs in three independent case series confirmed our observation of an association (P=9.33×10^–15 at rs6939340 for joint analysis). Patients with neuroblastoma who were homozygous for the risk alleles at 6p22 were more likely to have metastatic (stage 4) disease (P=0.02), amplification of the MYCN oncogene in the tumor cells (P=0.006), and disease relapse (P=0.01). A common genetic variation at chromosome band 6p22 is associated with susceptibility to neuroblastoma.

John Maris and colleagues report results of a genome-wide association and replication study for aggressive neuroblastoma. They show that common variants in the BARD1 locus at 2q35 are strongly associated with the disease. We conducted a SNP-based genome-wide association study (GWAS) focused on the high-risk subset of neuroblastoma1. As our previous unbiased GWAS showed strong association of common 6p22 SNP alleles with aggressive neuroblastoma2, we restricted our analysis here to 397 high-risk cases compared to 2,043 controls. We detected new significant association of six SNPs at 2q35 within the BARD1 locus (Pallelic = 2.35 × 10−9–2.25 × 10−8). We confirmed each SNP association in a second series of 189 high-risk cases and 1,178 controls (Pallelic = 7.90 × 10−7–2.77 × 10−4). We also tested the two most significant SNPs (rs6435862, rs3768716) in two additional independent high-risk neuroblastoma case series, yielding combined allelic odds ratios of 1.68 each (P = 8.65 × 10−18 and 2.74 × 10−16, respectively). We also found significant association with known BARD1 nonsynonymous SNPs. These data show that common variation in BARD1 contributes to the etiology of the aggressive and most clinically relevant subset of human neuroblastoma.

John Maris and colleagues identify common variants at 6q16 associated with neuroblastoma susceptibility. The risk variants are located near the HACE1 and LIN28B genes, both of which show altered expression in advanced neuroblastomas. Neuroblastoma is a cancer of the sympathetic nervous system that accounts for approximately 10% of all pediatric oncology deaths1. Here, we report a genome-wide association study of 2,817 neuroblastoma cases and 7,473 controls. We identified two new associations at 6q16, the first within HACE1 (rs4336470; combined P = 2.7 × 10−11; odds ratio 1.26, 95% confidence interval (CI) 1.18–1.35) and the second within LIN28B (rs17065417; combined P = 1.2 × 10−8; odds ratio 1.38, 95% CI 1.23–1.54). Expression of LIN28B and let-7 miRNA correlated with rs17065417 genotype in neuroblastoma cell lines, and we observed significant growth inhibition upon depletion of LIN28B, specifically in neuroblastoma cells that were homozygous for the risk allele. Low HACE1 and high LIN28B expression in diagnostic primary neuroblastomas were associated with worse overall survival (P = 0.008 and 0.014, respectively). Taken together, these data show that common variants in HACE1 and LIN28B influence neuroblastoma susceptibility and indicate that both genes likely have a role in disease progression.

Neuroblastoma is a malignant neoplasm of the developing sympathetic nervous system that is notable for its phenotypic diversity. High-risk patients typically have widely disseminated disease at diagnosis and a poor survival probability, but low-risk patients frequently have localized tumors that are almost always cured with little or no chemotherapy. Our genome-wide association study (GWAS) has identified common variants within FLJ22536, BARD1, and LMO1 as significantly associated with neuroblastoma and more robustly associated with high-risk disease. Here we show that a GWAS focused on low-risk cases identified SNPs within DUSP12 at 1q23.3 (P = 2.07×10⁻⁶), DDX4 and IL31RA both at 5q11.2 (P = 2.94×10⁻⁶ and 6.54×10⁻⁷ respectively), and HSD17B12 at 11p11.2 (P = 4.20×10⁻⁷) as being associated with the less aggressive form of the disease. These data demonstrate the importance of robust phenotypic data in GWAS analyses and identify additional susceptibility variants for neuroblastoma. Neuroblastoma is the most common solid tumor outside the central nervous system and is accountable for 10% of the mortality rate of all children's cancers. It has distinctive clinical behaviors and is categorized into different risk groups: high-risk, intermediate-risk, and low-risk. Genome-wide association studies have reported a number of genetic variations predisposing to high-risk neuroblastoma. This study focuses on the low-risk neuroblastoma group and identifies four novel genes (DUSP12, DDX4, IL31RA, and HSD17B12) at three distinct genomic positions that harbor disease-causing variants. This study also reports several gene sets that are enriched in overall neuroblastoma as well as in both high-risk and low-risk groups. Also of importance is that this study adopts a new computational method that identifies genes, instead of only one single nucleotide polymorphism, as disease-causing variants. Shown to have superior power of detection genome-wide association signals for neuroblastoma, the methodology presented in this study has great potential applications in case-control association studies in other diseases.