Data from: Insight in genome-wide association of metabolite quantitative traits by exome sequence analyses

  • Ayşe Demirkan (Creator)
  • Peter Henneman (Creator)
  • Aswin Verhoeven (Creator)
  • Harish Dharuri (Creator)
  • Najaf Amin (Creator)
  • Jan van Klinken (Contributor)
  • Lennart C. Karssen (Creator)
  • Boukje de Vries (Contributor)
  • Axel Meissner (Creator)
  • Sibel Göraler (Creator)
  • Arn M. J. M. van den Maagdenberg (Contributor)
  • Andre M. Deelder (Creator)
  • Peter A. C. t Hoen (Contributor)
  • Cornelia M. van Duijn (Contributor)
  • Ko Willems van Dijk (Contributor)
  • Axel Meissner (Creator)
  • Peter A. C. t Hoen (Contributor)
  • Cornelia Mvan Duijn (Creator)
  • Ko Willems van Dijk (Creator)

Dataset

Description

Metabolite quantitative traits carry great promise for epidemiological studies, and their genetic background has been addressed using Genome-Wide Association Studies (GWAS). Thus far, the role of less common variants has not been exhaustively studied. H...
Date made available15 Dec 2015
PublisherDryad

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