Identification of an imprinted master trans regulator at the KLF14 locus related to multiple metabolic phenotypes

Kerrin S Small, Asa K Hedman, Elin Grundberg, Alexandra C Nica, Gudmar Thorleifsson, Augustine Kong, Unnur Thorsteindottir, So-Youn Shin, Hannah B Richards, Nicole Soranzo, Kourosh R Ahmadi, Cecilia M Lindgren, Kari Stefansson, Emmanouil T Dermitzakis, Panos Deloukas, Timothy D Spector, Mark I McCarthy, GIANT Consortium

Research output: Contribution to journalArticle (Academic Journal)peer-review

211 Citations (Scopus)

Abstract

Genome-wide association studies have identified many genetic variants associated with complex traits. However, at only a minority of loci have the molecular mechanisms mediating these associations been characterized. In parallel, whereas cis regulatory patterns of gene expression have been extensively explored, the identification of trans regulatory effects in humans has attracted less attention. Here we show that the type 2 diabetes and high-density lipoprotein cholesterol-associated cis-acting expression quantitative trait locus (eQTL) of the maternally expressed transcription factor KLF14 acts as a master trans regulator of adipose gene expression. Expression levels of genes regulated by this trans-eQTL are highly correlated with concurrently measured metabolic traits, and a subset of the trans-regulated genes harbor variants directly associated with metabolic phenotypes. This trans-eQTL network provides a mechanistic understanding of the effect of the KLF14 locus on metabolic disease risk and offers a potential model for other complex traits.

Original languageEnglish
Pages (from-to)561-4
Number of pages4
JournalNature Genetics
Volume43
Issue number6
DOIs
Publication statusPublished - Jun 2011

Keywords

  • Adipose Tissue
  • Cholesterol, HDL
  • Diabetes Mellitus, Type 2
  • Female
  • Gene Expression Regulation
  • Genome-Wide Association Study
  • Genomic Imprinting
  • Humans
  • Phenotype
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci
  • Sp Transcription Factors

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