Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
By R. Scott, V. Lagou, R. Welch, E. Wheeler, M. Montasser, J. Luan, Reedik Mägi, R. Strawbridge, E. Rehnberg, S. Gustafsson and 204 more. Nature Genetics, 2012
841 citations recorded by the source corpus.
Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control.
Subfields: Biochemistry, Genetics
View Paper: https://www.semanticscholar.org/paper/f46031df2ca90f8fa81008dad711476965910c6e
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In Biochemistry
In Genetics
- Gonçalo R. Abecasis
- Christian Fuchsberger
- David Altshuler
- Michael Boehnke
- Benjamin F. Voight
- Peter Kraft
- Reedik Mägi
- Eleftheria Zeggini
Citations in the corpus
- Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes (2012, neutral): “We used the published MAGIC meta-analysis (up to 37,037 non-diabetic individuals) of HOMA indices of beta-cell function and insulin sensitivity 5 as these traits were not included in the enlarged Metabochip study 34 .”
- An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans (2017, background): “Variation in the receptor for GIP (GIPR) have previously been associated with glycemic traits and T2D(31,32).”