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http://purl.uniprot.org/citations/28406950http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttp://purl.uniprot.org/core/Journal_Citation
http://purl.uniprot.org/citations/28406950http://www.w3.org/2000/01/rdf-schema#comment"The objective of this study is to find single nucleotide polymorphisms (SNPs) associated with a risk of Type 2 diabetes (T2D) in Korean adults and to investigate the longitudinal association between these SNPs and T2D and the interaction effects of iron intake and average hemoglobin level. Data from the KoGES_Ansan and Ansung Study were used. Gene-iron interaction analysis was conducted using a two-step approach. To select candidate SNPs associated with T2D, a total of 7,935 adults at baseline were included in genome-wide association analysis (step one). After excluding T2D prevalent cases, prospective analyses were conducted with 7,024 adults aged 40-69 (step two). The association of selected SNPs and iron status with T2D and their interaction were determined using a Cox proportional hazard model. A total of 3 SNPs [rs9465871 (CDKAL1), rs10761745 (JMJD1C), and rs163177 (KCNQ1)] were selected as candidate SNPs related to T2D. Among them, rs10761745 (JMJD1C) and rs163177 (KCNQ1) were prospectively associated with T2D. High iron intake was also prospectively associated with the risk of T2D after adjusting for covariates. Average hemoglobin level was positively associated with T2D after adjusting for covariates in women. We also found significant interaction effects between rs10761745 (JMJD1C) and average hemoglobin levels on the risk of T2D among women with normal inflammation and without anemia at baseline. In conclusion, KCNQ1 and JMJD1C may prospectively contribute to the risk of T2D incidence among adults over the age of 40 and JMJD1C, but CDKAL1 may not, and iron status may interactively contribute to T2D incidence in women."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.org/dc/terms/identifier"doi:10.1371/journal.pone.0175681"xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Kim Y.J."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Kim J."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Kim M.K."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Jung S."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Lim J.E."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Oh B."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/author"Shin M.H."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/date"2017"xsd:gYear
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/name"PLoS One"xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/pages"e0175681"xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/title"Interaction of iron status with single nucleotide polymorphisms on incidence of type 2 diabetes."xsd:string
http://purl.uniprot.org/citations/28406950http://purl.uniprot.org/core/volume"12"xsd:string
http://purl.uniprot.org/citations/28406950http://www.w3.org/2004/02/skos/core#exactMatchhttp://purl.uniprot.org/pubmed/28406950
http://purl.uniprot.org/citations/28406950http://xmlns.com/foaf/0.1/primaryTopicOfhttps://pubmed.ncbi.nlm.nih.gov/28406950
http://purl.uniprot.org/uniprot/#_Q5VV42-mappedCitation-28406950http://www.w3.org/1999/02/22-rdf-syntax-ns#objecthttp://purl.uniprot.org/citations/28406950
http://purl.uniprot.org/uniprot/Q5VV42http://purl.uniprot.org/core/mappedCitationhttp://purl.uniprot.org/citations/28406950