DESCRIPTION:

List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Metabolite levels. The EFO term uric acid measurement was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.

LABEL:

GWAS: uric acid measurement

SCORE TYPE:

P-Value

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

YJ Kim, MJ Go, C Hu, CB Hong, YK Kim, JY Lee, JY Hwang, JH Oh, DJ Kim, NH Kim, S Kim, EJ Hong, JH Kim, H Min, Y Kim, R Zhang, W Jia, Y Okada, A Takahashi, M Kubo, T Tanaka, N Kamatani, K Matsuda, T Park, B Oh, K Kimm, D Kang, C Shin, NH Cho, HL Kim, BG Han, JY Lee, YS Cho

TITLE:

Large-scale genome-wide association studies in East Asians identify new genetic loci influencing metabolic traits.

JOURNAL:

Nature genetics Sep 2011, Vol 43, pp. 990-5

ABSTRACT:

To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study. PUBMED: 21909109
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