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Correlation of rare coding variants in the gene encoding human glucokinase regulatory protein with phenotypic, cellular, and kinetic outcomes
Matthew G. Rees, … , Anna L. Gloyn, Francis S. Collins
Matthew G. Rees, … , Anna L. Gloyn, Francis S. Collins
Published December 19, 2011
Citation Information: J Clin Invest. 2012;122(1):205-217. https://doi.org/10.1172/JCI46425.
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Research Article Genetics

Correlation of rare coding variants in the gene encoding human glucokinase regulatory protein with phenotypic, cellular, and kinetic outcomes

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Abstract

Defining the genetic contribution of rare variants to common diseases is a major basic and clinical science challenge that could offer new insights into disease etiology and provide potential for directed gene- and pathway-based prevention and treatment. Common and rare nonsynonymous variants in the GCKR gene are associated with alterations in metabolic traits, most notably serum triglyceride levels. GCKR encodes glucokinase regulatory protein (GKRP), a predominantly nuclear protein that inhibits hepatic glucokinase (GCK) and plays a critical role in glucose homeostasis. The mode of action of rare GCKR variants remains unexplored. We identified 19 nonsynonymous GCKR variants among 800 individuals from the ClinSeq medical sequencing project. Excluding the previously described common missense variant p.Pro446Leu, all variants were rare in the cohort. Accordingly, we functionally characterized all variants to evaluate their potential phenotypic effects. Defects were observed for the majority of the rare variants after assessment of cellular localization, ability to interact with GCK, and kinetic activity of the encoded proteins. Comparing the individuals with functional rare variants to those without such variants showed associations with lipid phenotypes. Our findings suggest that, while nonsynonymous GCKR variants, excluding p.Pro446Leu, are rare in individuals of mixed European descent, the majority do affect protein function. In sum, this study utilizes computational, cell biological, and biochemical methods to present a model for interpreting the clinical significance of rare genetic variants in common disease.

Authors

Matthew G. Rees, David Ng, Sarah Ruppert, Clesson Turner, Nicola L. Beer, Amy J. Swift, Mario A. Morken, Jennifer E. Below, Ilana Blech, James C. Mullikin, Mark I. McCarthy, Leslie G. Biesecker, Anna L. Gloyn, Francis S. Collins

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