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Copy number polymorphisms near SLC2A9 are associated with serum uric acid concentrations

BACKGROUND: Hyperuricemia is associated with multiple diseases, including gout, cardiovascular disease, and renal disease. Serum urate is highly heritable, yet association studies of single nucleotide polymorphisms (SNPs) and serum uric acid explain a small fraction of the heritability. Whether copy...

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Detalles Bibliográficos
Autores principales: Scharpf, Robert B, Mireles, Lynn, Yang, Qiong, Köttgen, Anna, Ruczinski, Ingo, Susztak, Katalin, Halper-Stromberg, Eitan, Tin, Adrienne, Cristiano, Stephen, Chakravarti, Aravinda, Boerwinkle, Eric, Fox11, Caroline S, Coresh, Josef, Linda Kao, Wen Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118309/
https://www.ncbi.nlm.nih.gov/pubmed/25007794
http://dx.doi.org/10.1186/1471-2156-15-81
Descripción
Sumario:BACKGROUND: Hyperuricemia is associated with multiple diseases, including gout, cardiovascular disease, and renal disease. Serum urate is highly heritable, yet association studies of single nucleotide polymorphisms (SNPs) and serum uric acid explain a small fraction of the heritability. Whether copy number polymorphisms (CNPs) contribute to uric acid levels is unknown. RESULTS: We assessed copy number on a genome-wide scale among 8,411 individuals of European ancestry (EA) who participated in the Atherosclerosis Risk in Communities (ARIC) study. CNPs upstream of the urate transporter SLC2A9 on chromosome 4p16.1 are associated with uric acid ([Formula: see text] , p=3.19×10(-23)). Effect sizes, expressed as the percentage change in uric acid per deleted copy, are most pronounced among women ((3.97)4.93(5.87) [ (2.5)50(97.5) denoting percentiles], p=4.57×10(-23)) and independent of previously reported SNPs in SLC2A9 as assessed by SNP and CNP regression models and the phasing SNP and CNP haplotypes ([Formula: see text]). Our finding is replicated in the Framingham Heart Study (FHS), where the effect size estimated from 4,089 women is comparable to ARIC in direction and magnitude ((1.41)4.70(7.88), p=5.46×10(-03)). CONCLUSIONS: This is the first study to characterize CNPs in ARIC and the first genome-wide analysis of CNPs and uric acid. Our findings suggests a novel, non-coding regulatory mechanism for SLC2A9-mediated modulation of serum uric acid, and detail a bioinformatic approach for assessing the contribution of CNPs to heritable traits in large population-based studies where technical sources of variation are substantial.