Center for Research on Genomics and Global Health, National Human Genome Research Institute, Bethesda, MD 20892, USA.
BMC Med Genomics. 2011 Feb 4;4:17. doi: 10.1186/1755-8794-4-17.
BACKGROUND: Uric acid is the primary byproduct of purine metabolism. Hyperuricemia is associated with body mass index (BMI), sex, and multiple complex diseases including gout, hypertension (HTN), renal disease, and type 2 diabetes (T2D). Multiple genome-wide association studies (GWAS) in individuals of European ancestry (EA) have reported associations between serum uric acid levels (SUAL) and specific genomic loci. The purposes of this study were: 1) to replicate major signals reported in EA populations; and 2) to use the weak LD pattern in African ancestry population to better localize (fine-map) reported loci and 3) to explore the identification of novel findings cognizant of the moderate sample size. METHODS: African American (AA) participants (n = 1,017) from the Howard University Family Study were included in this study. Genotyping was performed using the Affymetrix® Genome-wide Human SNP Array 6.0. Imputation was performed using MACH and the HapMap reference panels for CEU and YRI. A total of 2,400,542 single nucleotide polymorphisms (SNPs) were assessed for association with serum uric acid under the additive genetic model with adjustment for age, sex, BMI, glomerular filtration rate, HTN, T2D, and the top two principal components identified in the assessment of admixture and population stratification. RESULTS: Four variants in the gene SLC2A9 achieved genome-wide significance for association with SUAL (p-values ranging from 8.88 × 10(-9) to 1.38 × 10(-9)). Fine-mapping of the SLC2A9 signals identified a 263 kb interval of linkage disequilibrium in the HapMap CEU sample. This interval was reduced to 37 kb in our AA and the HapMap YRI samples. CONCLUSIONS: The most strongly associated locus for SUAL in EA populations was also the most strongly associated locus in this AA sample. This finding provides evidence for the role of SLC2A9 in uric acid metabolism across human populations. Additionally, our findings demonstrate the utility of following-up EA populations GWAS signals in African-ancestry populations with weaker linkage disequilibrium.
背景:尿酸是嘌呤代谢的主要副产品。高尿酸血症与体重指数(BMI)、性别以及包括痛风、高血压(HTN)、肾脏疾病和 2 型糖尿病(T2D)在内的多种复杂疾病有关。欧洲血统(EA)个体的多项全基因组关联研究(GWAS)报告了血清尿酸水平(SUAL)与特定基因组位点之间的关联。本研究的目的是:1)复制在 EA 人群中报告的主要信号;2)利用非洲裔人群中较弱的 LD 模式更好地定位(精细映射)报告的位点;3)探索在中等样本量的情况下识别新发现的方法。
方法:本研究纳入了霍华德大学家族研究中的 1017 名非裔美国人(AA)参与者。使用 Affymetrix®全基因组人类 SNP 阵列 6.0 进行基因分型。使用 MACH 和 HapMap 参考面板(CEU 和 YRI)进行单核苷酸多态性(SNP)的推断。在调整年龄、性别、BMI、肾小球滤过率、HTN、T2D 和评估混合和人群分层的前两个主要成分后,采用加性遗传模型评估了 2400542 个 SNP 与血清尿酸的关联。
结果:SLC2A9 基因中的 4 个变体在与 SUAL 相关的关联中达到了全基因组显著性(p 值范围从 8.88×10(-9) 到 1.38×10(-9))。SLC2A9 信号的精细映射确定了 HapMap CEU 样本中 263 kb 的连锁不平衡间隔。在我们的 AA 和 HapMap YRI 样本中,该间隔缩小到 37 kb。
结论:在 EA 人群中与 SUAL 关联最强的位点也是该 AA 样本中关联最强的位点。这一发现为 SLC2A9 在人类种群尿酸代谢中的作用提供了证据。此外,我们的研究结果表明,在连锁不平衡较弱的非洲裔人群中,对 EA 人群 GWAS 信号进行后续研究是有用的。
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