Advances in the Genetics of Peripheral Nerve Disorders

Posted in Clinical Review Article on 12th Dec 2012

Author

Amelie Pandraud, Yo-Tsen Liu, Henry Houlden

Amelie Pandraud, BSc MSc studied Brain, Behaviour and Cognitive Science at the University of Michigan, and then moved to London where she obtained an MSc in Clinical Neuroscience at the Institute of Neurology, University College London, Queen Square. Currently a PhD student at the Institute of Neurology, investigating the genetics of peripheral neuropathies, particularly Charcot-Marie-Tooth Disease.
Yo.Tsen Liu, MD is Lecturer at the National Yang.Ming University School of Medicine, Taipei, Taiwan and a neurologist at Taipei Veterans General Hospital, Taiwan and has developed particular interests in peripheral neuropathies and cerebellar ataxias. She is currently carrying out a PhD at UCL Institute of Neurology. Her research project is to look for the mutated genes in a cohort of patients with severe ataxia and peripheral neuropathy by employing the techniques of next generation sequencing and to look at the functional consequences of these genes.
Henry Houlden, MRCP, PhD is Professor of Neurology and Neurogenetics, Institute of Neurology, whose clinical and research interest is genetics, mainly when applied to inherited neurological disorders such as Charcot Marie Tooth disease, inherited ataxia, spastic paraplegia and other movement disorders. He is also interested in the identification of genetic risk factors through genome wide studies in multiple system atrophy (MSA), Inclusion Body Myositis (IBM), stroke and intracranial aneurysms as well as the development of next generation technologies for research and diagnostics.

Correspondence to:
Henry Houlden, MRC Centre for Neuromuscular Diseases and the Department of Molecular Neurosciences, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK

genetics-authorsInherited disorders of the peripheral nerve may be classified into those in which the neuropathy is the main feature,and those in which it is part of a more generalised disorder. The advent of novel sequencing technologies has started to revolutionise the screening of known genes and allowed the identification of numerous genes to be newly associated with neuropathies, including Charcot.Marie.Tooth disease (CMT), distal hereditary motor neuropathy (dHMN), hereditary sensory and autonomic neuropathy (HSAN) and hereditary neuralgic amyotrophy (HNA). Indeed, the past two years have seen a significant shift from traditional Sanger sequencing to next generation sequencing (NGS) methods including whole genome sequencing,exome sequencing and customised gene panels. As a result, the number of peripheral neuropathy-related genes has nearly doubled in the past few years and continues to rise. This review will provide an update on the genetics of the inherited neuropathies and the implications of NGS to both research and diagnostic services.

Charcot-Marie-Tooth Disease, hereditary sensory and autonomic neuropathy, distal hereditary motor neuropathy and hereditary neuralgic amyotrophy CMT, otherwise known as hereditary motor and sensory neuropathy (HMSN) is a heterogeneous group of diseases, both clinically and genetically. Patients typically exhibit wasting and weakness of distal muscles, reduced reflexes, foot deformities (pes cavus), sensory loss and walking difficulties. CMT is the most common inherited neuromuscular disease, with a prevalence of approximately 1 in 2500, with some variation between populations.1 In the era prior to the identification of the chromosome 17 duplication including the peripheral myelin protein 22 (PMP22) gene in CMT patients in the 1990s, 2,3,4,5 CMT was categorised primarily according to neurophysiological studies and peripheral nerve pathology.6 Patients with upper limb motor nerve conduction velocities (NCVs) under 38m/s are classified as CMT1, or demyelinating CMT, and patients with NCVs greater than 38m/s as CMT2,or axonal CMT. An evermore recognised intermediate form describes patients with both axonal and demyelinating features and NCVs between 25 and 45 m/s.7 The advances made in the genetics of neuropathies in the past two decades have further subdivided CMT according to pattern of inheritance and over 40 causative genes or loci.6 Autosomal recessive (AR) forms of CMT1 are referred to as CMT4. CMT3 (also called congenital hypomyelinating neuropathy (CHN) or Dejerine-Sottas disease (DSD)) is sometimes used to classify children with a severe demyelinating or hypomyelinating neuropathy usually associated with de novo dominant mutations in PMP22, myelin protein zero (MPZ) or early growth response 2 (EGR2).8

Genes involved in CMT encode proteins with increasingly diverse roles, including myelin structural components, transcription factors needed for gene regulation, protein synthesis, axonal transport, endocytosis and protein sorting, mitochondrial fusion and fission, and ion channels. Metabolic enzymes have also been implicated in CMT: mutations in PRPS1 have been associated with hereditary peripheral neuropathy with hearing loss and optic neuropathy (CMTX5), opening up the possibility of treating this CMT subtype with antimetabolite therapy.9

HSAN is caused by the degeneration of sensory and autonomic neurons. Patients often present with sensory loss and ulcerative mutilations. Autonomic involvement is more likely in AR forms, while motor problems tend to be associated with AD forms of HSAN. AR forms usually have earlier onset. HSAN is categorised into five subtypes according to age of onset, inheritance and phenotype. The 12 genes implicated in HSAN thus far encode proteins with roles in sphingolipid metabolism, DNA methylation, endoplasmic reticulum tubulation, membrane excitability, cytoskeletal organisation, axonal guidance during development and vesicular transport.10 In contrast, dHMN, also known as distal spinal muscular atrophy (dSMA) predominantly involves motor nerves although some degree of sensory problems may be observed. dHMN is classified into seven subtypes; both AD and AR inheritance have been described. Functions of proteins implicated in dHMN include chaperones, protein synthesis, RNA and DNA unwinding, axonal transport, ion channels and metallation of copper enzymes.11

Novel findings in the genetics of peripheral neuropathies

The list of genes implicated in inherited peripheral neuropathies is constantly growing. Tables 1, 2 and 3 summarise the genetic subtypes and associated phenotypes in CMT, HSAN and dHMN.

houlden-table-1

 

houlden-table-2

 

houlden-table-3

In addition to the identification of new genes, unexpected mutations in previously known peripheral neuropathy genes have been discovered. An alternatively sized duplication upstream of PMP22 was detected in a CMT patient; the duplication did not encompass PMP22 and therefore would have been missed by traditional diagnostic methods. The duplicated segment likely contains a regulatory region affecting PMP22 expression.12 In fact, distal enhancers upstream of PMP22 have recently been identified.13 A shorter, 800kb duplication encompassing PMP22 was found in a patient with demyelinating CMT.14 Copy number variants (CNVs) in the PMP22 region arising from new mechanisms involving non-recurrent rearrangements have also been associated with HNPP and CMT1A.15

Besides the chromosome 17 duplication 16,17,18 CNVs and whole gene deletions of GJB1,were not thought to be extensively involved in the aetiology of CMT.14 Recently however, a duplication of the MPZ gene was found to cause CMT. This finding suggests that CNVs may indeed play a role in CMT.19

A synonymous change activating a cryptic splice site in MPZ was found in a patient with DSD.20 Silent nucleotide changes are usually ignored in the analysis of sequencing data. Additional precautions will now need to be taken when categorising such variants as non-pathogenic. Similarly, mutations in the un-translated region upstream of gap junction beta.1 (GJB1) thought to affect splicing have been found in X-linked CMT.21,22

These unexpected findings raise the possibility of novel mechanisms of disease and suggest that new considerations need to be taken into account when interpreting results both in diagnostic and research settings.

Expanding genotype-phenotype correlations

The identification of new peripheral neuropathy genes and new mutations in known peripheral neuropathy genes is leading to increasingly complex genotype-phenotype correlations. Mitochondrial DNA polymerase . (POLG1) mutations were found in a patient with AR axonal CMT associated with tremor and ataxia; however, this patient showed no features commonly associated with mitochondrial disease.23 Similarly, ATP7A mutations, which typically cause severe Menkes disease or occipital horn syndrome,24 were found in a patient with X-linked dHMN and no copper deficiency.25 Mutations in Atlastin-1 (ATL1) were described in a patient with HSAN Type 126; this gene is also associated with early onset hereditary spastic paraplegia SPG3A.27 The genetic basis of a syndrome including AR early onset spastic ataxia and peripheral neuropathy has recently been attributed to mutations in AFG3L2 using exome sequencing.28 AD-inherited mutations in this gene are usually associated with spinocerebellar ataxia type 28 (SCA28).29 This new clinical syndrome had overlapping features of both AD SCA28 and AR hereditary spastic paraplegia type 7,both of which are frequently associated with peripheral neuropathy. Interestingly, both diseases are due to mutations in genes encoding subunits of a particular class of mitochondrial proteases; although these two proteins interact, they lead to strikingly different phenotypes when dysfunctional (Figure 1).This finding also illustrates how NGS can be effective in determining the cause of a complex neuropathy syndrome.28

houlden-figure-1

Figure 1: Recessive mutations in AFG3L2 associated with a new syndrome characterised by early onset spastic ataxia and peripheral neuropathy with overlapping features of both AD SCA28 and AR Hereditary Spastic Paraplegia type 7.

The causative genes responsible for complex forms of CMT were also recently described; these may represent new syndromes. Mutations in Fibulin-5 (FBLN5), encoding a constituent of the extracellular matrix needed for elastic fibre assembly were found in a case of AD CMT. Mutations were subsequently identified in other CMT families with hyperelastic skin, and in patients with age-related macular degeneration, most of whom had a mild to severe peripheral neuropathy.30 DNA (cytosine-5-)-methyltransferase 1 (DNMT1) mutations were associated with both central and peripheral neurodegeneration in one form of hereditary sensory and autonomic neuropathy with dementia and hearing loss.31 Sporadic or AD intermediate CMT associated with focal segmental glomerulosclerosis (FSGS) was found to be caused by mutations in the inverted formin, FH2 and WH2 domain containing (INF2) gene, encoding a protein known to interact with other proteins essential for myelination and myelin maintenance.32 The association of these genes with such complex phenotypes will help provide new insights into peripheral nerve function.

Frequency of genetic subtypes and diagnostic guidelines

In the European/UK and US population, the AD forms of CMT1 and CMT2 are more common and represent about 90% of CMT patients; however, approximately 40% of CMT patients exhibit AR inheritance in populations with high rates of consanguineous marriage such as the region of the Mediterranean basin.6 The most frequent subtypes of CMT include CMT1A (55% of CMT and 66.8% of CMT1), CMT1X (15.2% of CMT and 18.4% of CMT1), HNPP (9.1% of CMT), CMT1B (8.5% of CMT and 10.4% of CMT1) and CMT2A (4% of CMT and 21.9% of CMT2), while other subtypes account for less than 1% of all CMT.33-37 SH3 domain and tetratricopeptide repeats 2 (SH3TC2) mutations accounted for most of the AR CMT cases (42.9% of CMT4).35 Similar frequencies were obtained in a cohort of CMT patients in Norway, where the most common subtypes were CMT1A followed by CMT1X, CMT2A and CMT1B.38 Serine palmitoyltransferase, long chain base subunit 1 (SPTLC1) mutations account for the majority of AD HSAN cases.39

Considering the number of genes found to be associated with CMT, a diagnostic algorithm encompassing the patient’s ethnic background, neurophysiology, pattern of inheritance, and any outstanding features should prove to be extremely useful to clinicians and should help focus the genetic tests to be performed. The use of these algorithms has enabled 70% of CMT patients to receive a genetic diagnosis.33 Because over half of CMT2 cases remain genetically unexplained39 fewer patients with CMT2 receive a genetic diagnosis compared to CMT1. Pinpointing the disease-causing gene is essential from the clinician and patient’s perspective for improved diagnosis and counselling, as well as for understanding the pathomechanisms underlying the neuropathy and developing targeted treat.ments.6,40 A genetic diagnosis also helps avoid unnecessary tests and inappropriate therapy trials.8

If the nerve conduction studies indicate demyelination and the phenotype is that of classic CMT with AD inheritance, the chromosome 17 duplication should be tested first. If there is no male-to-male inheritance, GJB1 should be screened; if there is male-to-male transmission, MPZ should be tested, followed by PMP22, and finally the less common genes including EGR2, lipopolysaccharide-induced TNF factor (LITAF) and neurofilament light (N.FL) subunit.6,41

If the neuropathy is AD and axonal with a classic CMT2 phenotype, GJB1 should be screened if there is no male-to-male inheritance,as well as MFN2,especially if the disease is severe with childhood-onset and/or optic atrophy is present. The next genes to be screened in AD axonal neuropathies with a classical phenotype are MPZ (especially for late-onset CMT2), followed by N-FL, alanyl-tRNA synthetase (AARS), ganglioside-induced differentiation-associated protein 1 (GDAP1) and transient receptor potential cation channel, subfamily V, member 4 (TRPV4).6

If the patient presents with AD CMT2 with strong sensory involvement,SPTLC1 should be screened, followed by RAB7.If on the contrary, the neuropathy is AD CMT2 with motor predominance, Berardinelli-Seip congenital lipodystrophy 2 (BSCL2) and glycyl-tRNA synthetase (GARS) should be tested in patients where the upper limbs are mostly affected, and heat shock protein beta.1 (HSPB1), heat shock protein beta.8 (HPSB8), BSCL2 and TRPV4 should be screened in this order for lower-limb predominance.6,34 The overlap between CMT,HSAN and HMN further complicates diagnosis; for example, mutations in two genes associated with either HSAN or CMT can cause a similar phenotype, and mutations in one gene can be implicated in both dHMN and axonal CMT.39

Selecting which genes to screen in AR CMT will depend on the particular phenotype and ethnic background of the patient.Genes to be tested in dHMN cases should be prioritised according to inheritance. In AD cases, phenotypic features such as upper versus lower limb onset, vocal cord palsy and pyramidal signs may be used to focus genetic testing.11

Genetic modifiers of disease

Recent years have seen increased interest in identifying potential genetic modifiers of various diseases including hereditary neuropathies. Indeed, the high intra- and inter-familial variability in disease severity typical of CMT1A and of many other subtypes of CMT, HSAN and dHMN renders it difficult for clinicians to advise patients on the way their disease is likely to progress and how severely their children may be affected. A recent study has found that the mRNA levels of certain lipid metabolism genes in the skin biopsies of CMT1A patients could account for 47% of the variance in disease severity.42 The identification of such genetic modifiers will help provide a more accurate disease prognosis, and will likely help understand the disease pathways.

Next-generation sequencing in peripheral neuropathies

Non-Sanger-based sequencing technologies are revolutionising gene discovery and diagnostics for Mendelian and complex diseases. Although traditional ‘first-generation’ Sanger-sequencing and linkage studies are likely to remain important tools in genetic research, we are progressively moving to the era of next-generation sequencing (NGS), which encompasses whole-genome sequencing, exome sequencing and targeted re-sequencing of regions of interest.

All NGS technologies involve preparation and fragmentation of a DNA library, amplification of the library and massively-parallel sequencing of amplicons. The principal differences between these technologies are the enrichment method used and the length of DNA fragments which can be read depending on the sequencing chemistry used. The Roche 454 pyrosequencingTM , Illumina/SolexaTM Genome Analyzer, Invitrogen Ion TorrentTM and Applied Biosystems SOLIDTM system are popular sequencing platforms used in NGS.43,44

High-throughput and cost-efficient sequencing are distinguishing features of next-generation techniques. Other advances include the ability to sequence many bases using 1.2ug of DNA and the ability to investigate disease genes in small families. Next-generation technologies are essential to utilise in heterogeneous disorders such as the inherited peripheral neuropathies. For example, whole-genome sequencing has been used to identify a mutation in a known CMT gene, SH3TC2,in a patient with AR CMT. The authors argue that whole-genome sequencing may be useful in the diagnostic setting for highly penetrant, heterogeneous diseases such as CMT-45 Exome sequencing, which involves target enrichment and high-throughput sequencing of the coding and intronic boundary regions of the genome, was successfully used to identify the causative mutation in a novel gene,dynein cytoplasmic 1 heavy chain 1 (DYNC1H1) in a case of axonal CMT-46 Exome sequencing was also used as a comprehensive diagnostic screen in a CMT patient,leading to the identification of a mutation in a known CMT gene, GJB1-47 Exome sequencing is not only suitable for detecting rare disease-causing variants, but also potential risk factors in protein-coding regions. Moreover, this technique allows causative genes to be found in small families or isolated individuals in whom positional cloning or linkage is not feasible.48

Targeted re-sequencing using customised gene panels is also becoming increasingly popular as it allows researchers to focus on particular areas of interest. This type of NGS is especially well-suited to the diagnostic setting as it involves less data handling and a quicker turnaround time. Panels can be designed for specific diseases or phenotypes, and may include a few genes to hundreds of genes depending on the platform used. The Illumina MiSeq and the Invitrogen Ion TorrentTM are especially suited to such purposes.

Currently, diagnosis by Sanger-sequencing is slow and expensive, and is often not available for many subtypes of inherited neuropathies. Testing of rarer genes is often restricted to the research setting.6 These NGS techniques will undoubtedly change the face of medical diagnostics, including which genes are prioritised for testing49 (Figure 2).Diagnosis of genetically heterogeneous diseases such as inherited neuropathies will become faster and will allow for simultaneous testing of many genes. Although most NGS are currently too expensive to be used routinely, they are quickly becoming more affordable.47 NGS will not only facilitate the identification of new genes, but may also be a tool for finding modifiers of disease severity. Before these techniques are integrated into the clinical setting, extensive knowledge in both molecular biology techniques and bioinformatics will be needed.44

houlden-figure-2

Figure 2: Flow diagram of CMT diagnostics incorporating Next-Generation Sequencing

While these NGS methods are more cost-efficient and less time-consuming, it is not advisable to use them routinely without restraint. Unnecessary testing is one of the dangers associated with NGS; genetic testing should be focused and guided by diagnostic algorithms.8,34,50,51 The most common genes should still be tested first, according to inheritance pattern and phenotype47 as mutations in 1 of 4 genes, PMP22, MFN2, MPZ, or GJB1 accounted for over 90% of 527 patients with a known genetic diagnosis of CMT in a recent study by Saporta and colleagues.35

Challenges in Next-Generation-Sequencing and diagnostics

Searching for new genes is an exciting endeavour, but the analysis of the large datasets produced by whole-genome and exome sequencing can be daunting. Although a functional candidate gene approach is advisable, CMT-associated genes are not always nerve-specific and are generally ubiquitously expressed. Recently identified genes have been involved in pathways never previously described to cause inherited neuropathies. It is therefore far from trivial to prepare a list of candidate genes when searching for new causative genes, especially for CMT. Even with these caveats we predict that over the next 18 months, diagnostic exome sequencing will become available in the UK.

Once the list of candidate genes has been reduced to a manageable number, one is still faced with the difficult task of assessing the pathogenicity of the variants. A recent survey of loss-of-function mutations in coding genes has estimated that a single genome from a “healthy” human contains approximately 100 loss-of-function variants.52 This is evident in NGS studies, which produce long lists of potentially pathogenic variants of unknown significance. Whole-genome sequencing studies uncover a high number of variants in coding regions, including in many genes known to cause CMT.53 This issue also applies to traditional Sanger-sequencing methods. Variants previously thought to be pathogenic in CMT patients have later been reclassified as polymorphisms, and vice-versa. Segregation of the mutation in families, frequency in controls, conservation between species and functional studies may help sort through variants.6,54 55 Comprehensive online databases of known variants associated with particular diseases will also be valuable. Good genotype-phenotype studies will also assist clinicians and researchers in interpreting the variants.53

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Acknowledgments

We are indebted to all patients and controls for their partic.ipation in our study. We would also like to thank the following for essential grant support; The Medical Research Council (MRC), The Wellcome Trust, The Muscular Dystrophy Campaign and The NIHR UCLH/UCL Comprehensive Biomedical Research Centre. We are also grateful to Professor Reilly who is head of the peripheral nerve group at the NHNN for her co.supervision of Amelie Pandraud and Yo.Tsen Liu and many discussions during our group meetings.

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