ArticleScientific reports2017
Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Humanized monoacylglycerol acyltransferase 2 mice develop metabolic dysfunction-associated steatohepatitis.Journal of lipid research · 2024Article
- A network analysis framework of genetic and nongenetic risks for type 2 diabetes.Reviews in endocrine & metabolic disorders · 2021Review
- A Novel Metabolism-Related Signature as a Candidate Prognostic Biomarker for Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2021Article
- The Emerging Role and Promise of Circular RNAs in Obesity and Related Metabolic Disorders.Cells · 2020Review
- Identification of novel biomarkers affecting the metastasis of colorectal cancer through bioinformatics analysis and validation through qRT-PCR.Cancer cell international · 2020Article
- Identification of novel non-synonymous variants associated with type 2 diabetes-related metabolites in Korean population.Bioscience reports · 2019Article
- Relationships of Non-coding RNA with diabetes and depression.Scientific reports · 2019Article
- Identification of novel alleles associated with insulin resistance in childhood obesity using pooled-DNA genome-wide association study approach.International journal of obesity (2005) · 2018Article
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19 authors.
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Abstract
Diabetes-associated metabolites may aid the identification of new risk variants for type 2 diabetes. Using targeted metabolomics within a subsample of the German EPIC-Potsdam study (n = 2500), we tested previously published SNPs for their association with diabetes-associated metabolites and conducted an additional exploratory analysis using data from the exome chip including replication within 2,692 individuals from the German KORA F4 study. We identified a total of 16 loci associated with diabetes-related metabolite traits, including one novel association between rs499974 (MOGAT2) and a diacyl-phosphatidylcholine ratio (PC aa C40:5/PC aa C38:5). Gene-based tests on all exome chip variants revealed associations between GFRAL and PC aa C42:1/PC aa C42:0, BIN1 and SM (OH) C22:2/SM C18:0 and TFRC and SM (OH) C22:2/SM C16:1). Selecting variants for gene-based tests based on functional annotation identified one additional association between OR51Q1 and hexoses. Among single genetic variants consistently associated with diabetes-related metabolites, two (rs174550 (FADS1), rs3204953 (REV3L)) were significantly associated with type 2 diabetes in large-scale meta-analysis for type 2 diabetes. In conclusion, we identified a novel metabolite locus in single variant analyses and four genes within gene-based tests and confirmed two previously known mGWAS loci which might be relevant for the risk of type 2 diabetes.
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