ArticleDiabetologia2008
Polymorphisms in AHI1 are not associated with type 2 diabetes or related phenotypes in Danes: non-replication of a genome-wide association result.
Article in Diabetologia, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 5 citations in OpenAlex.
- Variants ofJournal of the Endocrine Society · 2022Article
- The characterization of Abelson helper integration site-1 in skeletal muscle and its links to the metabolic syndrome.Metabolism: clinical and experimental · 2010Article
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10 authors at 3 institutions in 1 country.
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Abstract
aims/hypothesisA genome-wide association study recently identified an association between common variants, rs1535435 and rs9494266, in the AHI1 gene and type 2 diabetes. The aim of the present study was to investigate the putative association between these polymorphisms and type 2 diabetes or type 2 diabetes-related metabolic traits in Danish individuals.
methodsThe previously associated polymorphisms were genotyped in the population-based Inter99 cohort (n=6162), the Danish ADDITION study (n=8428), a population-based sample of young healthy participants (n=377) and in additional type 2 diabetes (n=2107) and glucose-tolerant participants (n=483) using Taqman allelic discrimination. The case-control study involved 4,104 type 2 diabetic patients and 5,050 glucose-tolerant control participants. Type 2 diabetes-related traits were investigated in 17,521 individuals.
resultsrs1535435 and rs9494266 were not associated with type 2 diabetes. Odds ratios (OR) were OR(add) 1.0 (95% C.I. 0.9-1.2; p(add)=0.7) and OR(add) 1.1 (0.9-1.2; p(add)=0.4), respectively, a finding supported by meta-analyses: OR(add) 1.0 (0.9-1.1; p(add)=0.6) and OR(add) 1.0 (0.9-1.1; p(add)=0.6), respectively. Neither rs1535435 nor rs9494266 were consistently associated with any of the tested type 2 diabetes-related metabolic traits. CONCLUSIONS/
interpretationData from large samples of Danish individuals do not support a role for AHI1 rs1535435 nor rs9494266 as major type 2 diabetes variants. This study highlights the importance of independent and well-powered replication studies of the recent genome-wide association scans before a locus is robustly validated as being associated with type 2 diabetes.
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