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 Type 2 diabetes. The EFO term type II diabetes mellitus 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: type II diabetes mellitus

SCORE TYPE:

P-Value

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

K Hara, H Fujita, TA Johnson, T Yamauchi, K Yasuda, M Horikoshi, C Peng, C Hu, RC Ma, M Imamura, M Iwata, T Tsunoda, T Morizono, N Shojima, WY So, TF Leung, P Kwan, R Zhang, J Wang, W Yu, H Maegawa, H Hirose, K Kaku, C Ito, H Watada, Y Tanaka, K Tobe, A Kashiwagi, R Kawamori, W Jia, JC Chan, YY Teo, TE Shyong, N Kamatani, M Kubo, S Maeda, T Kadowaki

TITLE:

Genome-wide association study identifies three novel loci for type 2 diabetes.

JOURNAL:

Human molecular genetics Jan 2014, Vol 23, pp. 239-46

ABSTRACT:

Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) of 6 209 637 single-nucleotide polymorphisms (SNPs), which were directly genotyped or imputed using East Asian references from the 1000 Genomes Project (June 2011 release) in 5976 Japanese patients with T2D and 20 829 nondiabetic individuals. Nineteen unreported loci were selected and taken forward to follow-up analyses. Combined discovery and follow-up analyses (30 392 cases and 34 814 controls) identified three new loci with genome-wide significance, which were MIR129-LEP [rs791595; risk allele = A; risk allele frequency (RAF) = 0.080; P = 2.55 × 10(-13); odds ratio (OR) = 1.17], GPSM1 [rs11787792; risk allele = A; RAF = 0.874; P = 1.74 × 10(-10); OR = 1.15] and SLC16A13 (rs312457; risk allele = G; RAF = 0.078; P = 7.69 × 10(-13); OR = 1.20). This study demonstrates that GWASs based on the imputation of genotypes using modern reference haplotypes such as that from the 1000 Genomes Project data can assist in identification of new loci for common diseases. PUBMED: 23945395
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