ArticlePloS one2011
Characterisation of genome-wide association epistasis signals for serum uric acid in human population isolates.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Whole-genome sequencing reveals rare variants associated with gout in Taiwanese males.Frontiers in genetics · 2024Article
- Association between glucokinase regulator gene polymorphisms and serum uric acid levels in Taiwanese adolescents.Scientific reports · 2022Article
- Glut9-mediated Urate Uptake Is Responsible for Its Protective Effects on Dopaminergic Neurons in Parkinson's Disease Models.Frontiers in molecular neuroscience · 2018Article
- Genome-wide association analysis reveals loci associated with resistance against Piscirickettsia salmonis in two Atlantic salmon (Salmo salar L.) chromosomes.BMC genomics · 2015Article
- Practical aspects of genome-wide association interaction analysis.Human genetics · 2014Review
- Detecting epistasis in human complex traits.Nature reviews. Genetics · 2014Review
- Abundant local interactions in the 4p16.1 region suggest functional mechanisms underlying SLC2A9 associations with human serum uric acid.Human molecular genetics · 2014Article
- A genome-wide association study of seasonal pattern mania identifies NF1A as a possible susceptibility gene for bipolar disorder.Journal of affective disorders · 2013Article
- How genome-wide SNP-SNP interactions relate to nasopharyngeal carcinoma susceptibility.PloS one · 2013Article
- Properties of local interactions and their potential value in complementing genome-wide association studies.PloS one · 2013Article
- Genome-wide analysis of epistasis in body mass index using multiple human populations.European journal of human genetics : EJHG · 2012Article
- High-throughput analysis of epistasis in genome-wide association studies with BiForce.Bioinformatics (Oxford, England) · 2012Article
- BiForce Toolbox: powerful high-throughput computational analysis of gene-gene interactions in genome-wide association studies.Nucleic acids research · 2012Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Genome-wide association (GWA) studies have identified a number of loci underlying variation in human serum uric acid (SUA) levels with the SLC2A9 gene having the largest effect identified so far. Gene-gene interactions (epistasis) are largely unexplored in these GWA studies. We performed a full pair-wise genome scan in the Italian MICROS population (n = 1201) to characterise epistasis signals in SUA levels. In the resultant epistasis profile, no SNP pairs reached the Bonferroni adjusted threshold for the pair-wise genome-wide significance. However, SLC2A9 was found interacting with multiple loci across the genome, with NFIA-SLC2A9 and SLC2A9-ESRRAP2 being significant based on a threshold derived for interactions between GWA significant SNPs and the genome and jointly explaining 8.0% of the phenotypic variance in SUA levels (3.4% by interaction components). Epistasis signal replication in a CROATIAN population (n = 1772) was limited at the SNP level but improved dramatically at the gene ontology level. In addition, gene ontology terms enriched by the epistasis signals in each population support links between SUA levels and neurological disorders. We conclude that GWA epistasis analysis is useful despite relatively low power in small isolated populations.
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