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      Identification and Characterization of 15 Novel GALC Gene Mutations Causing Krabbe Disease

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          Abstract

          The characterization of the underlying GALC gene lesions was performed in 30 unrelated patients affected by Krabbe disease, an autosomal recessive leukodystrophy caused by the deficiency of lysosomal enzyme galactocerebrosidase. The GALC mutational spectrum comprised 33 distinct mutant (including 15 previously unreported) alleles. With the exception of 4 novel missense mutations that replaced evolutionarily highly conserved residues (p.P318R, p.G323R, p.I384T, p.Y490N), most of the newly described lesions altered mRNA processing. These included 7 frameshift mutations (c.61delG, c.408delA, c.521delA, c.1171_1175delCATTCinsA, c.1405_1407delCTCinsT, c.302_308dupAAATAGG, c.1819_1826dupGTTACAGG), 3 nonsense mutations (p.R69X, p.K88X, p.R127X) one of which (p.K88X) mediated the skipping of exon 2, and a splicing mutation (c.1489+1G>A) which induced the partial skipping of exon 13. In addition, 6 previously unreported GALC polymorphisms were identified. The functional significance of the novel GALC missense mutations and polymorphisms was investigated using the MutPred analysis tool. This study, reporting one of the largest genotype-phenotype analyses of the GALC gene so far performed in a European Krabbe disease cohort, revealed that the Italian GALC mutational profile differs significantly from other populations of European origin. This is due in part to a GALC missense substitution (p.G553R) that occurs at high frequency on a common founder haplotype background in patients originating from the Naples region. © 2010 Wiley-Liss, Inc.

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          Mutation nomenclature extensions and suggestions to describe complex mutations: a discussion.

          Consistent gene mutation nomenclature is essential for efficient and accurate reporting, testing, and curation of the growing number of disease mutations and useful polymorphisms being discovered in the human genome. While a codified mutation nomenclature system for simple DNA lesions has now been adopted broadly by the medical genetics community, it is inherently difficult to represent complex mutations in a unified manner. In this article, suggestions are presented for reporting just such complex mutations. Copyright 2000 Wiley-Liss, Inc.
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            Automated inference of molecular mechanisms of disease from amino acid substitutions.

            Advances in high-throughput genotyping and next generation sequencing have generated a vast amount of human genetic variation data. Single nucleotide substitutions within protein coding regions are of particular importance owing to their potential to give rise to amino acid substitutions that affect protein structure and function which may ultimately lead to a disease state. Over the last decade, a number of computational methods have been developed to predict whether such amino acid substitutions result in an altered phenotype. Although these methods are useful in practice, and accurate for their intended purpose, they are not well suited for providing probabilistic estimates of the underlying disease mechanism. We have developed a new computational model, MutPred, that is based upon protein sequence, and which models changes of structural features and functional sites between wild-type and mutant sequences. These changes, expressed as probabilities of gain or loss of structure and function, can provide insight into the specific molecular mechanism responsible for the disease state. MutPred also builds on the established SIFT method but offers improved classification accuracy with respect to human disease mutations. Given conservative thresholds on the predicted disruption of molecular function, we propose that MutPred can generate accurate and reliable hypotheses on the molecular basis of disease for approximately 11% of known inherited disease-causing mutations. We also note that the proportion of changes of functionally relevant residues in the sets of cancer-associated somatic mutations is higher than for the inherited lesions in the Human Gene Mutation Database which are instead predicted to be characterized by disruptions of protein structure. http://mutdb.org/mutpred predrag@indiana.edu; smooney@buckinstitute.org.
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              Nonsense-mediated mRNA decay in human cells: mechanistic insights, functions beyond quality control and the double-life of NMD factors.

              Nonsense-mediated decay is well known by the lucid definition of being a RNA surveillance mechanism that ensures the speedy degradation of mRNAs containing premature translation termination codons. However, as we review here, NMD is far from being a simple quality control mechanism; it also regulates the stability of many wild-type transcripts. We summarise the abundance of research that has characterised each of the NMD factors and present a unified model for the recognition of NMD substrates. The contentious issue of how and where NMD occurs is also discussed, particularly with regard to P-bodies and SMG6-driven endonucleolytic degradation. In recent years, the discovery of additional functions played by several of the NMD factors has further complicated the picture. Therefore, we also review the reported roles of UPF1, SMG1 and SMG6 in other cellular processes.
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                Author and article information

                Journal
                Hum Mutat
                humu
                Human Mutation
                Wiley Subscription Services, Inc., A Wiley Company
                1059-7794
                1098-1004
                December 2010
                : 31
                : 12
                : E1894-E1915
                Affiliations
                [1 ]simpleS.S.D. Lab. Diagnosi Pre-Postnatale Malattie Metaboliche, IRCCS G. Gaslini Genova, Italy
                [2 ]simpleU.O. Neuropsichiatria Infantile - IRCCS G. Gaslini Genova, Italy
                [3 ]simpleInstitute of Medical Genetics, School of Medicine, Cardiff University Heath Park, Cardiff CF14 4XN, UK
                [4 ]simpleServizio di Neuroradiologia Pediatrica - IRCCS G. Gaslini Genova, Italy
                [5 ]simpleCentro Regionale “Errori Congeniti del Metabolismo”, Università di Catania Catania, Italy
                [6 ]simpleCentro di Coordinamento Regionale Malattie Rare, AO Universitaria “Santa Maria della Misericordia” 33100 Udine, Italy
                [7 ]simpleS.S. Malattie Rare, U.O. Pediatria II, IRCCS G. Gaslini Genova, Italy
                Author notes
                *Correspondence to: Dr Mirella Filocamo, Lab Diagnosi Pre-Postnatale Malattie Metaboliche, Istituto G. Gaslini, Largo G. Gaslini 5 (16147) Genova, Italy. Tel: +39 010 5636792; Fax: +39 010 383983; E-mail: mirellafilocamo@ 123456ospedale-gaslini.ge.it

                Communicated by William S. Sly

                Article
                10.1002/humu.21367
                3052420
                20886637
                0b1d8f19-92bd-4c18-a11e-6cb037bfa1b4
                Copyright © 2010 Wiley-Liss, Inc., A Wiley Company

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 30 June 2010
                : 02 September 2010
                : 02 September 2010
                Categories
                Mutation in Brief

                Human biology
                krabbe disease,galc mutations,genotype-phenotype analysis,founder mutation,leukodystrophy

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