Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
By K. Yasuda, K. Miyake, Y. Horikawa, K. Hara, H. Osawa, H. Furuta, Y. Hirota, H. Mori, A. Jonsson, Yoshifumi Sato and 37 more. Nature Genetics, 2008
768 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/23a7468137a18ed723d016102212af4fb03a34d6
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In Cardiology and Cardiovascular Medicine
In Genetics
- Gonçalo R. Abecasis
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- David Altshuler
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In Molecular Biology
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- Graham Coop
Citations in the corpus
- Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians (2011, background): “In addition, most of the T2D loci were detected initially in population samples of European origin, with the exceptions of KCNQ1 , UBE2E2 and C2CD4A-C2CD4B , which were first identified in studies of east Asian population”
- Consistent Association of Type 2 Diabetes Risk Variants Found in Europeans in Diverse Racial and Ethnic Groups (2010, background): “With the exception of the KCNQ1 locus which was identified in the Japanese population [1,2], all of the well-replicated risk variants were first identified in populations of Northern European ancestry [3–13].”
- Biology of the KCNQ1 Potassium Channel (2014, background): “In addition, single nucleotide polymorphisms (SNPs) within KCNQ1 are strongly linked to type 2 diabetes mellitus [115–119], gestational diabetes [120], insulin secretion [121], impaired fasting glucose [122], and susceptibility to diabetic nephropathy [123] in multiple human populations and also to ”
- Signals of recent positive selection in a worldwide sample of human populations. (2009, background): “…(Crohn’s disease, type I and II diabetes, height, and lipid levels) from published genome-wide association studies (Scott et al. 2007; Todd et al. 2007; Gudbjartsson et al. 2008; Lettre et al. 2008; Unoki et al. 2008; Weedon et al. 2008; Willer et al. 2008; Yasuda et al. 2008; Zeggini et al. 2008).”
- A resource-efficient tool for mixed model association analysis of large-scale data (2019, neutral): “We also observed inflation in the test-statistics of null variants from BOLT-LMM-Inf and the inflation increased as the variance explained by common environmental effects increased ( Figure 1a ), likely because BOLT-LMM-Inf failed to capture the variance due to common environmental effects by fittin”
- Globalization of Diabetes (2011, background): “Conversely, a variant in the KCNQ1 gene associated with a 20–30% increased risk of diabetes in several Asian populations (43,44) is common in East Asians, but rare in Caucasians.”