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      A Novel Locus Harbouring a Functional CD164 Nonsense Mutation Identified in a Large Danish Family with Nonsyndromic Hearing Impairment

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          Abstract

          Nonsyndromic hearing impairment (NSHI) is a highly heterogeneous condition with more than eighty known causative genes. However, in the clinical setting, a large number of NSHI families have unexplained etiology, suggesting that there are many more genes to be identified. In this study we used SNP-based linkage analysis and follow up microsatellite markers to identify a novel locus (DFNA66) on chromosome 6q15-21 (LOD 5.1) in a large Danish family with dominantly inherited NSHI. By locus specific capture and next-generation sequencing, we identified a c.574C>T heterozygous nonsense mutation (p.R192*) in CD164. This gene encodes a 197 amino acid transmembrane sialomucin (known as endolyn, MUC-24 or CD164), which is widely expressed and involved in cell adhesion and migration. The mutation segregated with the phenotype and was absent in 1200 Danish control individuals and in databases with whole-genome and exome sequence data. The predicted effect of the mutation was a truncation of the last six C-terminal residues of the cytoplasmic tail of CD164, including a highly conserved canonical sorting motif (YXXФ). In whole blood from an affected individual, we found by RT-PCR both the wild-type and the mutated transcript suggesting that the mutant transcript escapes nonsense mediated decay. Functional studies in HEK cells demonstrated that the truncated protein was almost completely retained on the plasma cell membrane in contrast to the wild-type protein, which targeted primarily to the endo-lysosomal compartments, implicating failed endocytosis as a possible disease mechanism. In the mouse ear, we found CD164 expressed in the inner and outer hair cells of the organ of Corti, as well as in other locations in the cochlear duct. In conclusion, we have identified a new DFNA locus located on chromosome 6q15-21 and implicated CD164 as a novel gene for hearing impairment.

          Author Summary

          It is known that hearing impairment running in families can be caused by mutations in more than eighty different genes. However, there are still families where the responsible gene is unknown. By studying a large Danish family with dominant inherited hearing impairment, we found that the disorder cosegregates with genetic markers on chromosome 6, suggesting that the responsible mutation lies within this chromosomal region. By sequencing this genetic locus, we discovered a mutation in the CD164 gene that is passed on to all the affected individuals. In the mouse ear, we demonstrated that the CD164 protein is expressed in hair cells and other sites known to be important for correct hearing. The identified mutation is predicted to result in shortening of the protein, leading to loss of an evolutionary conserved sequence important for cellular trafficking of CD164. Using cell lines, we show that the truncated protein is trapped on the cell surface while the normal protein is internalized. This finding is important because it implicates for the first time a role for CD164 in the complex physiological processes of hearing and suggests that failed endocytosis may be a possible disease mechanism for some types of hearing impairment.

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          Most cited references22

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          Coordinated protein sorting, targeting and distribution in polarized cells.

          The polarized distribution of functions in polarized cells requires the coordinated interaction of three machineries that modify the basic mechanisms of intracellular protein trafficking and distribution. First, intrinsic protein-sorting signals and cellular decoding machineries regulate protein trafficking to plasma membrane domains; second, intracellular signalling complexes define the plasma membrane domains to which proteins are delivered; and third, proteins that are involved in cell-cell and cell-substrate adhesion orientate the three-dimensional distribution of intracellular signalling complexes and, accordingly, the direction of membrane traffic. The integration of these mechanisms into a complex and dynamic network is crucial for normal tissue function and is often defective in disease states.
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            Nonsense-mediated mRNA decay modulates clinical outcome of genetic disease.

            The nonsense-mediated decay (NMD) pathway is an mRNA surveillance system that typically degrades transcripts containing premature termination codons (PTCs) in order to prevent translation of unnecessary or aberrant transcripts. Failure to eliminate these mRNAs with PTCs may result in the synthesis of abnormal proteins that can be toxic to cells through dominant-negative or gain-of-function effects. Recent studies have expanded our understanding of the mechanism by which nonsense transcripts are recognized and targeted for decay. Here, we review the physiological role of this surveillance pathway, its implications for human diseases, and why knowledge of NMD is important to an understanding of genotype-phenotype correlations in various genetic disorders.
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              Descent graphs in pedigree analysis: applications to haplotyping, location scores, and marker-sharing statistics.

              The introduction of stochastic methods in pedigree analysis has enabled geneticists to tackle computations intractable by standard deterministic methods. Until now these stochastic techniques have worked by running a Markov chain on the set of genetic descent states of a pedigree. Each descent state specifies the paths of gene flow in the pedigree and the founder alleles dropped down each path. The current paper follows up on a suggestion by Elizabeth Thompson that genetic descent graphs offer a more appropriate space for executing a Markov chain. A descent graph specifies the paths of gene flow but not the particular founder alleles traveling down the paths. This paper explores algorithms for implementing Thompson's suggestion for codominant markers in the context of automatic haplotyping, estimating location scores, and computing gene-clustering statistics for robust linkage analysis. Realistic numerical examples demonstrate the feasibility of the algorithms.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                21 July 2015
                July 2015
                : 11
                : 7
                : e1005386
                Affiliations
                [1 ]Department of Biomedicine, Aarhus University, Aarhus, Denmark
                [2 ]Centre for Integrative Sequencing (iSEQ), Aarhus University, Aarhus, Denmark
                [3 ]Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine (ICMM), The Panum Institute, University of Copenhagen, Copenhagen, Denmark
                [4 ]Department of Otorhinolaryngology, Head & Neck Surgery and Audiology, Bispebjerg Hospital/Rigshospitalet, Copenhagen, Denmark
                [5 ]Clinical Genetic Clinic, Kennedy Center, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
                [6 ]Wolfson Centre for Age-Related Diseases, King's College London, London, United Kingdom
                [7 ]Biotech Research & Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark
                [8 ]Department of Chemistry and Bioscience, Aalborg University, Aalborg Ø, Denmark
                [9 ]Center for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States of America
                [10 ]Department of Biochemistry, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan
                [11 ]Department of Molecular Medicine, Aarhus University Hospital, Skejby, Aarhus, Denmark
                [12 ]Department of Clinical Genetics, Vejle Hospital, Vejle, Denmark
                [13 ]Department of Otorhinolaryngology, Radboud University Medical Center, Nijmegen, Nijmegen, Netherlands
                [14 ]Department of Human Genetics, Radboud University Medical Center, Nijmegen, Nijmegen, Netherlands
                [15 ]Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, Nijmegen, Netherlands
                University of Michigan, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: MN NDR TJC MSN KPS MF LT ADB. Performed the experiments: MN NDR TJC MSN AS AH AB FN MF. Analyzed the data: MN NDR MSN TJC DD MTO HK JO AB FN MF KPS LT ADB. Contributed reagents/materials/analysis tools: MN NDR MSN TJC SML WA FPW KBP DGC HK NT MF KPS LT ADB. Wrote the paper: MN NDR MSN TJC MTO SML MF KPS LT ADB. Ascertainment of the Danish family: KBP DGC LT. Genetic counseling of the family: LT. Performed the linkage analysis: MN.

                Article
                PGENETICS-D-14-02466
                10.1371/journal.pgen.1005386
                4510537
                26197441
                c38e88f3-9144-40ee-8d9d-3dc227fbf91c
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 11 September 2014
                : 23 June 2015
                Page count
                Figures: 8, Tables: 0, Pages: 25
                Funding
                This work was funded by: Agnes og Poul Friis fond to MN, Centre for Integrative Sequencing (iSEQ) and The Villum Kann Rasmussen Foundation to ADB, Widex AS to the Audiogenetic Research Group at ICMM/ Bispebjerg Hospital/Rigshospitalet, the National Institutes of Health (NIH) – National Institute on Deafness and Other Communication Disorders (NIDCD) [grant numbers R01 DC003594 and R01 DC011651] to SML, the Wellcome Trust [grant no. WT100669MA] to KPS, and ZonMw [grant 40-00812-98-09047] and the Heinsius Houbolt foundation to HK. Gene Therapy Initiative Aarhus (GTI-Aarhus) funded by the Lundbeck Foundation (Grant No. R126-2012-12456) to TJC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                Data used in this paper come from a small and well-defined family. To protect the identity of individuals, these confidential data are not publically available. Data are available from the Aarhus University Data Access Committee for researchers who meet the criteria for access to confidential data. To request access to the data, contact John Westensee at jwe@ 123456au.dk .

                Genetics
                Genetics

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