Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties

Purpose: Demand is increasing for clinical genomic sequencing to provide diagnoses for patients presenting phenotypes indicative of genetic diseases, but for whom routine genetic testing failed to yield a diagnosis. DNA-based testing using high-throughput technologies often identifies variants with...

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Main Authors: Michael T. Zimmermann, Raul Urrutia, Margot A. Cousin, Gavin R. Oliver, Eric W. Klee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Genetics
Subjects:
ATS
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00276/full
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spelling doaj-f56443b899d0470a96d832c746668bcc2020-11-25T00:03:10ZengFrontiers Media S.A.Frontiers in Genetics1664-80212018-07-01910.3389/fgene.2018.00276389728Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional PropertiesMichael T. Zimmermann0Michael T. Zimmermann1Raul Urrutia2Raul Urrutia3Margot A. Cousin4Gavin R. Oliver5Gavin R. Oliver6Eric W. Klee7Eric W. Klee8Department of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United StatesBioinformatics Research and Development Laboratory, Genomics Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United StatesBioinformatics Research and Development Laboratory, Genomics Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, United StatesLaboratory of Epigenetics and Chromatin Dynamics, Department of Biochemistry and Molecular Biology, Epigenomics Translational Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, United StatesCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, United StatesDepartment of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United StatesCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, United StatesDepartment of Health Science Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United StatesCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, United StatesPurpose: Demand is increasing for clinical genomic sequencing to provide diagnoses for patients presenting phenotypes indicative of genetic diseases, but for whom routine genetic testing failed to yield a diagnosis. DNA-based testing using high-throughput technologies often identifies variants with insufficient evidence to determine whether they are disease-causal or benign, leading to categorization as variants of uncertain significance (VUS).Methods: We used molecular modeling and simulation to generate specific hypotheses for the molecular effects of variants in the human glucose transporter, GLUT10 (SLC2A10). Similar to many disease-relevant membrane proteins, no experimentally derived 3D structure exists. An atomic model was generated and used to evaluate multiple variants, including pathogenic, benign, and VUS.Results: These analyses yielded detailed mechanistic data, not currently predictable from sequence, including altered protein stability, charge distribution of ligand binding surfaces, and shifts toward or away from transport-competent conformations. Consideration of the two major conformations of GLUT10 was important as variants have conformation-specific effects. We generated detailed molecular hypotheses for the functional impact of variants in GLUT10 and propose means to determine their pathogenicity.Conclusion: The type of workflow we present here is valuable for increasing the throughput and resolution with which VUS effects can be assessed and interpreted.https://www.frontiersin.org/article/10.3389/fgene.2018.00276/fullgeneticsmolecular modelingnatural variationvariant of uncertain significanceATS
collection DOAJ
language English
format Article
sources DOAJ
author Michael T. Zimmermann
Michael T. Zimmermann
Raul Urrutia
Raul Urrutia
Margot A. Cousin
Gavin R. Oliver
Gavin R. Oliver
Eric W. Klee
Eric W. Klee
spellingShingle Michael T. Zimmermann
Michael T. Zimmermann
Raul Urrutia
Raul Urrutia
Margot A. Cousin
Gavin R. Oliver
Gavin R. Oliver
Eric W. Klee
Eric W. Klee
Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
Frontiers in Genetics
genetics
molecular modeling
natural variation
variant of uncertain significance
ATS
author_facet Michael T. Zimmermann
Michael T. Zimmermann
Raul Urrutia
Raul Urrutia
Margot A. Cousin
Gavin R. Oliver
Gavin R. Oliver
Eric W. Klee
Eric W. Klee
author_sort Michael T. Zimmermann
title Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
title_short Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
title_full Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
title_fullStr Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
title_full_unstemmed Assessing Human Genetic Variations in Glucose Transporter SLC2A10 and Their Role in Altering Structural and Functional Properties
title_sort assessing human genetic variations in glucose transporter slc2a10 and their role in altering structural and functional properties
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2018-07-01
description Purpose: Demand is increasing for clinical genomic sequencing to provide diagnoses for patients presenting phenotypes indicative of genetic diseases, but for whom routine genetic testing failed to yield a diagnosis. DNA-based testing using high-throughput technologies often identifies variants with insufficient evidence to determine whether they are disease-causal or benign, leading to categorization as variants of uncertain significance (VUS).Methods: We used molecular modeling and simulation to generate specific hypotheses for the molecular effects of variants in the human glucose transporter, GLUT10 (SLC2A10). Similar to many disease-relevant membrane proteins, no experimentally derived 3D structure exists. An atomic model was generated and used to evaluate multiple variants, including pathogenic, benign, and VUS.Results: These analyses yielded detailed mechanistic data, not currently predictable from sequence, including altered protein stability, charge distribution of ligand binding surfaces, and shifts toward or away from transport-competent conformations. Consideration of the two major conformations of GLUT10 was important as variants have conformation-specific effects. We generated detailed molecular hypotheses for the functional impact of variants in GLUT10 and propose means to determine their pathogenicity.Conclusion: The type of workflow we present here is valuable for increasing the throughput and resolution with which VUS effects can be assessed and interpreted.
topic genetics
molecular modeling
natural variation
variant of uncertain significance
ATS
url https://www.frontiersin.org/article/10.3389/fgene.2018.00276/full
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