Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Use of next-generation sequencing and other whole-genome strategies to dissect neurological disease

Key Points

  • New sequencing technologies have allowed the examination of genetic variability at unprecedented resolution and scale. From testing millions of known markers in thousands of individuals to identifying very rare or novel mutations in smaller cohorts, these technologies have changed how genetics can inform disease phenotype.

  • Whole-genome genotyping has allowed genome-wide association studies to be performed, which have greatly increased our knowledge of how genetics plays a role in common diseases. It is also an efficient method for performing homozygosity mapping to pinpoint pathogenic mutations in recessive kindreds.

  • Whole-exome sequencing has allowed the rapid and cost-effective identification of Mendelian genes. This point is clearly illustrated by the growing list of published papers identifying mutations in these genes.

  • As the costs associated with sequencing continue to fall, whole-genome sequencing will probably replace whole-exome sequencing. However, the ability to make sense of non-coding variability is still limited.

  • The integration of genotyping data with expression and proteomics' results will be necessary for researchers to fully understand the effects of genetic variability (both coding and non-coding).

Abstract

Over the past five years the field of neurogenetics has yielded a wealth of data that have facilitated a much greater understanding of the aetiology of many neurological diseases. Most of these advances are a result of improvements in technology that have allowed us to determine whole-genome structure and variation and to examine its impact on phenotype in an unprecedented manner. Genome-wide association studies have provided information on how common genetic variability imparts risk for the development of various complex diseases. Moreover, the identification of rare disease-causing mutations have led to the discovery of novel biochemical pathways that are involved in disease pathogensis. Here, we review these advances and discuss how they have changed the approaches being used to study neurological disorders.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Homozygosity mapping using high-density arrays.
Figure 2: Simplified workflows for whole-exome, whole-genome and transcriptome sequencing.
Figure 3: Comparison of whole-exome and whole-genome sequencing results.
Figure 4: Many genes at a single genome-wide association study locus.

Similar content being viewed by others

References

  1. Hardy, J. The real problem in association studies. Am. J. Med. Genet. 114, 253 (2002).

    Article  PubMed  Google Scholar 

  2. Paisan-Ruiz, C. et al. Cloning of the gene containing mutations that cause PARK8-linked Parkinson's disease. Neuron 44, 595–600 (2004).

    Article  CAS  PubMed  Google Scholar 

  3. Paisan-Ruiz, C. et al. Characterization of PLA2G6 as a locus for dystonia-parkinsonism. Ann. Neurol. 65, 19–23 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Verkerk, A. J. et al. Mutation in the AP4M1 gene provides a model for neuroaxonal injury in cerebral palsy. Am. J. Hum. Genet. 85, 40–52 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Paisan-Ruiz, C. et al. Early-onset L-dopa-responsive parkinsonism with pyramidal signs due to ATP13A2, PLA2G6, FBXO7 and spatacsin mutations. Mov. Disord. 25, 1791–1800 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Gulsuner, S. et al. Homozygosity mapping and targeted genomic sequencing reveal the gene responsible for cerebellar hypoplasia and quadrupedal locomotion in a consanguineous kindred. Genome Res. 21, 1995–2003 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Nalls, M. A. et al. Extended tracts of homozygosity identify novel candidate genes associated with late-onset Alzheimer's disease. Neurogenetics 10, 183–190 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Clarimon, J. et al. Whole genome analysis in a consanguineous family with early onset Alzheimer's disease. Neurobiol. Aging 30, 1986–1991 (2009).

    Article  CAS  PubMed  Google Scholar 

  9. Ng, S. B. et al. Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome. Nature Genet. 42, 790–793 (2010).

    Article  CAS  PubMed  Google Scholar 

  10. Pierce, S. B. et al. Mutations in the DBP-deficiency protein HSD17B4 cause ovarian dysgenesis, hearing loss, and ataxia of Perrault syndrome. Am. J. Hum. Genet. 87, 282–288 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Singleton, A. B. Exome sequencing: a transformative technology. Lancet Neurol. 10, 942–946 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lupski, J. R. et al. Whole-genome sequencing in a patient with Charcot–Marie–Tooth neuropathy. N. Engl. J. Med. 362, 1181–1191 (2010). One of the first studies to use whole-genome sequencing to identify the cause of a neurological disease.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Veeramah, K. R. et al. De novo pathogenic SCN8A mutation identified by whole-genome sequencing of a family quartet affected by infantile epileptic encephalopathy and SUDEP. Am. J. Hum. Genet. 90, 502–510 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Johnson, J. O. et al. Exome sequencing reveals VCP mutations as a cause of familial ALS. Neuron 68, 857–864 (2010). One of the first studies to show a now common finding in exome sequencing studies: genes known to cause one syndrome are often the cause of other unrelated diseases.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zimprich, A. et al. A mutation in VPS35, encoding a subunit of the retromer complex, causes late-onset Parkinson disease. Am. J. Hum. Genet. 89, 168–175 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Vilarino-Guell, C. et al. VPS35 mutations in Parkinson disease. Am. J. Hum. Genet. 89, 162–167 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Johnson, J. O., Gibbs, J. R., Van Maldergem, L., Houlden, H. & Singleton, A. B. Exome sequencing in Brown–Vialetto–van Laere syndrome. Am. J. Hum. Genet. 87, 567–569; author reply 569–570 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Reich, D. E. & Lander, E. S. On the allelic spectrum of human disease. Trends Genet. 17, 502–510 (2001).

    Article  CAS  PubMed  Google Scholar 

  19. Wang, W. Y., Barratt, B. J., Clayton, D. G. & Todd, J. A. Genome-wide association studies: theoretical and practical concerns. Nature Rev. Genet. 6, 109–118 (2005).

    Article  CAS  PubMed  Google Scholar 

  20. Hardy, J. & Singleton, A. Genome-wide association studies and human disease. N. Engl. J. Med. 360, 1759–1768 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Simon-Sanchez, J. et al. Genome-wide association study reveals genetic risk underlying Parkinson's disease. Nature Genet. 41, 1308–1312 (2009). The first large-scale GWAS in Parkinson's disease. It identified genes, previously known to cause Mendelian disease, that also conferred a risk for developing Parkinson's disease.

    Article  CAS  PubMed  Google Scholar 

  22. Nalls, M. A. et al. Imputation of sequence variants for identification of genetic risks for Parkinson's disease: a meta-analysis of genome-wide association studies. Lancet 377, 641–649 (2011).

    Article  PubMed  Google Scholar 

  23. Plagnol, V. et al. A two-stage meta-analysis identifies several new loci for Parkinson's disease. PLoS Genet. 7, e1002142 (2011).

    Article  CAS  Google Scholar 

  24. Coon, K. D. et al. A high-density whole-genome association study reveals that APOE is the major susceptibility gene for sporadic late-onset Alzheimer's disease. J. Clin. Psychiatry 68, 613–618 (2007).

    Article  CAS  PubMed  Google Scholar 

  25. Wijsman, E. M. et al. Genome-wide association of familial late-onset Alzheimer's disease replicates BIN1 and CLU and nominates CUGBP2 in interaction with APOE. PLoS Genet. 7, e1001308 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Harold, D. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease. Nature Genet. 41, 1088–1093 (2009).

    Article  CAS  PubMed  Google Scholar 

  27. Sawcer, S. et al. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature 476, 214–219 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Clayton, D. G. Prediction and interaction in complex disease genetics: experience in type 1 diabetes. PLoS Genet. 5, e1000540 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Marchini, J. & Howie, B. Genotype imputation for genome-wide association studies. Nature Rev. Genet. 11, 499–511 (2010). A thorough review of imputation and its application to GWASs.

    Article  CAS  PubMed  Google Scholar 

  30. Huang, J., Ellinghaus, D., Franke, A., Howie, B. & Li, Y. 1000 genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 data. Eur. J. Hum. Genet. 1 Feb 2012 (doi:10.1038/ejhg.2012.3).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Sulonen, A. M. et al. Comparison of solution-based exome capture methods for next generation sequencing. Genome Biol. 12, R94 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Sidransky, E. et al. Multicenter analysis of glucocerebrosidase mutations in Parkinson's disease. N. Engl. J. Med. 361, 1651–1661 (2009). A study that unequivocally showed that mutations in GBA , when heterozygous, confer a risk for developing Parkinson's disease.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Lambert, J. C. et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease. Nature Genet. 41, 1094–1099 (2009).

    Article  CAS  PubMed  Google Scholar 

  34. Renton, A. E. et al. A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS–FTD. Neuron 72, 257–268 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Dejesus-Hernandez, M. et al. Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron 72, 245–256 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Vache, C. et al. Usher syndrome type 2 caused by activation of an USH2A pseudoexon: implications for diagnosis and therapy. Hum. Mutat. 33, 104–108 (2012).

    Article  CAS  PubMed  Google Scholar 

  37. Abbas, N. et al. A wide variety of mutations in the parkin gene are responsible for autosomal recessive parkinsonism in Europe. French Parkinson's disease genetics study group and the European Consortium on genetic susceptibility in Parkinson's disease. Hum. Mol. Genet. 8, 567–574 (1999).

    Article  CAS  PubMed  Google Scholar 

  38. Chartier-Harlin, M. C. et al. α-synuclein locus duplication as a cause of familial Parkinson's disease. Lancet 364, 1167–1169 (2004).

    Article  CAS  PubMed  Google Scholar 

  39. Singleton, A. B. et al. α-synuclein locus triplication causes Parkinson's disease. Science 302, 841 (2003).

    Article  CAS  PubMed  Google Scholar 

  40. Rovelet-Lecrux, A. et al. APP locus duplication causes autosomal dominant early-onset Alzheimer disease with cerebral amyloid angiopathy. Nature Genet. 38, 24–26 (2006).

    Article  CAS  PubMed  Google Scholar 

  41. Bilguvar, K. et al. Whole-exome sequencing identifies recessive WDR62 mutations in severe brain malformations. Nature 467, 207–210 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Rademakers, R. et al. Mutations in the colony stimulating factor 1 receptor (CSF1R) gene cause hereditary diffuse leukoencephalopathy with spheroids. Nature Genet. 44, 200–205 (2012).

    Article  CAS  Google Scholar 

  43. Schadt, E. E. et al. Mapping the genetic architecture of gene expression in human liver. PLoS Biol. 6, e107 (2008). A good example of how eQTLs can be assessed in a genome-wide manner to shed light on gene expression patterns in a tissue of interest.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Myers, A. J. et al. A survey of genetic human cortical gene expression. Nature Genet. 39, 1494–1499 (2007).

    Article  CAS  PubMed  Google Scholar 

  45. Holmans, P. et al. Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. Am. J. Hum. Genet. 85, 13–24 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Mootha, V. K. et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nature Genet. 34, 267–273 (2003).

    Article  CAS  PubMed  Google Scholar 

  47. Jones, L. et al. Genetic evidence implicates the immune system and cholesterol metabolism in the aetiology of Alzheimer's disease. PLoS ONE 5, e13950 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Gahl, W. A. et al. The National Institutes of Health Undiagnosed Diseases Program: insights into rare diseases. Genet.Med. 14, 51–59 (2012).

    Article  CAS  PubMed  Google Scholar 

  49. Dedeurwaerder, S. et al. DNA methylation profiling reveals a predominant immune component in breast cancers. EMBO Mol. Med. 3, 726–741 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Hernandez, D. G. et al. Distinct DNA methylation changes highly correlated with chronological age in the human brain. Hum. Mol. Genet. 20, 1164–1172 (2011). These data reveal methylation patterns in the brain that are correlated with age, thus suggesting that this epigenetic mechanism may be involved in healthy ageing and in disease.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Laffita-Mesa, J. M. et al. Epigenetics DNA methylation in the core ataxin-2 gene promoter: novel physiological and pathological implications. Hum. Genet. 131, 625–638 (2012).

    Article  CAS  PubMed  Google Scholar 

  52. Martin-Subero, J. I. & Esteller, M. Profiling epigenetic alterations in disease. Adv. Exp. Med. Biol. 711, 162–177 (2011).

    Article  CAS  PubMed  Google Scholar 

  53. Shen, L. & Waterland, R. A. Methods of DNA methylation analysis. Curr. Opin. Clin. Nutr. Metabol. Care 10, 576–581 (2007).

    Article  CAS  Google Scholar 

  54. Wan, Y., Kertesz, M., Spitale, R. C., Segal, E. & Chang, H. Y. Understanding the transcriptome through RNA structure. Nature Rev. Genet. 12, 641–655 (2011).

    Article  CAS  PubMed  Google Scholar 

  55. Tsuang, M. T., Bar, J. L., Stone, W. S. & Faraone, S. V. Gene–environment interactions in mental disorders. World Psychiatry 3, 73–83 (2004).

    PubMed  PubMed Central  Google Scholar 

  56. Vance, J. M., Ali, S., Bradley, W. G., Singer, C. & Di Monte, D. A. Gene–environment interactions in Parkinson's disease and other forms of parkinsonism. Neurotoxicology 31, 598–602 (2010).

    Article  CAS  PubMed  Google Scholar 

  57. Jaenisch, R. & Bird, A. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nature Genet. 33, 245–254 (2003).

    Article  CAS  PubMed  Google Scholar 

  58. Jirtle, R. L. & Skinner, M. K. Environmental epigenomics and disease susceptibility. Nature Rev. Genet. 8, 253–262 (2007).

    Article  CAS  PubMed  Google Scholar 

  59. Wang, A. et al. Parkinson's disease risk from ambient exposure to pesticides. Eur. J. Epidemiol. 26, 547–555 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Langston, J. W., Ballard, P., Tetrud, J. W. & Irwin, I. Chronic parkinsonism in humans due to a product of meperidine-analog synthesis. Science 219, 979–980 (1983).

    Article  CAS  PubMed  Google Scholar 

  61. Liou, H. H. et al. Environmental risk factors and Parkinson's disease: a case–control study in Taiwan. Neurology 48, 1583–1588 (1997).

    Article  CAS  PubMed  Google Scholar 

  62. Do, C. B. et al. Web-based genome-wide association study identifies two novel loci and a substantial genetic component for Parkinson's disease. PLoS Genet. 7, e1002141 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Hollingworth, P. et al. Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease. Nature Genet. 43, 429–435 (2011).

    Article  CAS  PubMed  Google Scholar 

  64. Naj, A. C. et al. Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease. Nature Genet. 43, 436–441 (2011).

    Article  CAS  PubMed  Google Scholar 

  65. Ikram, M. A. et al. Genomewide association studies of stroke. N. Engl. J. Med. 360, 1718–1728 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Bellenguez, C. et al. Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke. Nature Genet. 44, 328–333 (2012).

    Article  CAS  PubMed  Google Scholar 

  67. van de Leemput, J. et al. Deletion at ITPR1 underlies ataxia in mice and spinocerebellar ataxia 15 in humans. PLoS Genet. 3, e108 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Doi, H. et al. Exome sequencing reveals a homozygous SYT14 mutation in adult-onset, autosomal-recessive spinocerebellar ataxia with psychomotor retardation. Am. J. Hum. Genet. 89, 320–327 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Camargos, S. et al. DYT16, a novel young-onset dystonia-parkinsonism disorder: identification of a segregating mutation in the stress-response protein PRKRA. Lancet Neurol. 7, 207–215 (2008).

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John Hardy.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary information S1 (table)

Genes identified through exome or genome sequencing in neurological or brain-related conditions (PDF 329 kb)

Related links

Related links

FURTHER INFORMATION

John Hardy's homepage

DATABASES

Online Mendelian Inheritance in Man database

Catalogue of published genome-wide association studies

Glossary

Case–control studies

Studies in which genetic variability in genes of interest are compared between a group of cases (for example, patients) and a group of controls from the same population.

Mendelian genes

Genes in which mutations cause disease in a Mendelian manner. The disease can be recessive or dominant in its inheritance mode.

Sporadic diseases

Diseases that occur with no known genetic background and therefore no family history of occurence.

Sanger DNA sequencing

A method used to determine the nucleotides present in a fragment of DNA. It is based on the chain-terminator method developed by Frederick Sanger, but currently uses labelling of the chain-terminator dideoxynucleotides (ddNTPs), which allows sequencing in a single reaction.

Genotyping

A method used to determine the bases (genotypes) present at specific positions in the genome. This can be done for a small number of genotypes or for millions of genotypes spread throughout the genome (using whole-genome genotyping arrays).

Autosomal recessive diseases

Patterns of disease inheritance in which both alleles (one from each parent) need to present the genetic defect for the disease to manifest itself.

Consanguinity

This refers to individuals who are related by blood.

Minor allele frequency

For a single-nucleotide polymorphism this is the frequency of the less frequent allele in a population.

Epistatic interactions

Events that occur when the effects of one gene are modulated by one or several other independent genes.

Odds ratios

Measures of effect size, defined as the ratio of the odds of an event occurring in one group to the odds of it occurring in another group. In the context of a genetic-association study, this might be the odds of major depression occurring in one genotype group against the odds of it occurring in another genotype group.

Genotyping arrays

These are a type of DNA microarray that are used to detect polymorphisms in DNA samples.

Single-nucleotide polymorphisms

(SNPs). The most common form of variation in human DNA sequences. They occur when a single nucleotide (for example, thymine) replaces one of the other three nucleotides (for example, cytosine).

Pseudoexon

A fragment of DNA that has characteristics of an exon, but plays no part in splicing events and thus does not code for a protein sequence.

Copy number variation

A change in the normal number of copies of a given gene/loci. Usually, there are two copies of each locus, but if, for example, duplications or triplications occur the number of copies will increase.

Point mutation

A change in one single nucleotide that occurs very rarely in the population.

Genetic phase

Refers to the allelic combinations that an individual received from its parents. If two alleles originated from the same parent they are said to be in cis phase. If each allele originated from a different parent they are said to be in trans phase.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bras, J., Guerreiro, R. & Hardy, J. Use of next-generation sequencing and other whole-genome strategies to dissect neurological disease. Nat Rev Neurosci 13, 453–464 (2012). https://doi.org/10.1038/nrn3271

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrn3271

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing