Replication of GWAS-identified neuroblastoma risk loci strengthens the role of BARD1 and affirms the cumulative effect of genetic variations on disease susceptibility

GWAS 鉴定的神经母细胞瘤风险基因座的复制增强了 BARD1 的作用,并证实了遗传变异对疾病易感性的累积效应

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作者:Mario Capasso, Sharon J Diskin, Francesca Totaro, Luca Longo, Marilena De Mariano, Roberta Russo, Flora Cimmino, Hakon Hakonarson, Gian Paolo Tonini, Marcella Devoto, John M Maris, Achille Iolascon

Abstract

Several neuroblastoma (NB) susceptibility loci have been identified within LINC00340, BARD1, LMO1, DUSP12, HSD17B12, DDX4, IL31RA, HACE1 and LIN28B by genome-wide association (GWA) studies including European American individuals. To validate and comprehensively evaluate the impact of the identified NB variants on disease risk and phenotype, we analyzed 16 single nucleotide polymorphisms (SNPs) in an Italian population (370 cases and 809 controls). We assessed their regulatory activity on gene expression in lymphoblastoid (LCLs) and NB cell lines. We evaluated the cumulative effect of the independent loci on NB risk and high-risk phenotype development in Italian and European American (1627 cases and 2575 controls) populations. All NB susceptibility genes replicated in the Italian dataset except for DDX4 and IL31RA, and the most significant SNP was rs6435862 in BARD1 (P = 8.4 × 10(-15)). BARD1 showed an additional and independent SNP association (rs7585356). This variant influenced BARD1 mRNA expression in LCLs and NB cell lines. No evidence of epistasis among the NB-associated variants was detected, whereas a cumulative effect of risk variants on NB risk (European Americans: P (trend) = 6.9 × 10(-30), Italians: P (trend) = 8.55 × 10(13)) and development of high-risk phenotype (European Americans: P (trend) = 6.9 × 10(-13), Italians: P (trend) = 2.2 × 10(-1)) was observed in a dose-dependent manner. These results provide further evidence that the risk loci identified in GWA studies contribute to NB susceptibility in distinct populations and strengthen the role of BARD1 as major genetic contributor to NB risk. This study shows that even in the absence of interaction the combination of several low-penetrance alleles has potential to distinguish subgroups of patients at different risks of developing NB.

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