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.

  • Brief Communication
  • Published:

Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome

Abstract

Hyperphosphatasia mental retardation (HPMR) syndrome is an autosomal recessive form of mental retardation with distinct facial features and elevated serum alkaline phosphatase. We performed whole-exome sequencing in three siblings of a nonconsanguineous union with HPMR and performed computational inference of regions identical by descent in all siblings to establish PIGV, encoding a member of the GPI-anchor biosynthesis pathway, as the gene mutated in HPMR. We identified homozygous or compound heterozygous mutations in PIGV in three additional families.

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: Identification of PIGV mutations in individuals with HPMR syndrome.

Similar content being viewed by others

Accession codes

Accessions

NCBI Reference Sequence

References

  1. Ng, S.B. et al. Nat. Genet. 42, 30–35 (2010).

    Article  CAS  Google Scholar 

  2. Ng, S.B. et al. Nature 461, 272–276 (2009).

    Article  CAS  Google Scholar 

  3. Roach, J.C. et al. Science 328, 636–639 (2010).

    Article  CAS  Google Scholar 

  4. Mabry, C.C. et al. J. Pediatr. 77, 74–85 (1970).

    Article  CAS  Google Scholar 

  5. Kruse, K., Hanefeld, F., Kohlschutter, A., Rosskamp, R. & Gross-Selbeck, G. J. Pediatr. 112, 436–439 (1988).

    Article  CAS  Google Scholar 

  6. Horn, D., Schottmann, G. & Meinecke, P. Eur. J. Med. Genet. 53, 85–88 (2010).

    Article  Google Scholar 

  7. McQuillan, R. et al. Am. J. Hum. Genet. 83, 359–372 (2008).

    Article  CAS  Google Scholar 

  8. Rabe, P. et al. Am. J. Med. Genet. 41, 350–354 (1991).

    Article  CAS  Google Scholar 

  9. Marcelis, C.L., Rieu, P., Beemer, F. & Brunner, H.G. Clin. Dysmorphol. 16, 73–76 (2007).

    Article  Google Scholar 

  10. Thompson, M.D. et al. Am. J. Med. Genet. 152A, 1661–1669 (2010).

    Article  Google Scholar 

  11. Kang, J.Y. et al. J. Biol. Chem. 280, 9489–9497 (2005).

    Article  CAS  Google Scholar 

  12. Kinoshita, T., Fujita, M. & Maeda, Y. J. Biochem. 144, 287–294 (2008).

    Article  CAS  Google Scholar 

  13. Nozaki, M. et al. Lab. Invest. 79, 293–299 (1999).

    CAS  PubMed  Google Scholar 

  14. Takeda, J. et al. Cell 73, 703–711 (1993).

    Article  CAS  Google Scholar 

  15. Almeida, A.M. et al. Nat. Med. 12, 846–851 (2006).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by a grant from the Deutsche Forschungsgemeinschaft (SFB 665) to S.M., by a grant from Bundesministerium für Bildung und Forschung (BMBF, project number 0313911) and an Australian National Health and Medical Research Council international research training fellowship to T.R., and by a grant of the Canadian Institutes of Health Research and Epilepsy Canada to M.D.T. We thank B. Fischer, U. Kornak, M. Ralser, E. van Beusekom, U. Marchfelder and D. Lefeber for their assistance in this project.

Author information

Authors and Affiliations

Authors

Contributions

M.R.S., M.I. and A.D. performed targeted exome resequencing. P.M.K., C.R., A.F., M.K., S.B., S.K., M.J. and P.N.R. performed bioinformatic analysis. P.M.K., C. Marcelis, J.G., B.J.d.C., F.S. and T.R. performed mutation analysis and genotyping. D.H., C. Marcelis, M.D.T., D.E.C., S.D., P.M., E.P., T.R. and H.G.B. contributed to clinical evaluation of the affected individuals and delineation of the phenotype. P.M.K., U.K. and C. Meisel performed flow cytometric analysis. Y.M. and T.K. performed analysis of wild-type and A341E PIGV clones. P.M.K., M.R.S., D.H., J.H., H.G.B., P.N.R. and S.M. carried out the project planning and preparation of the manuscript.

Corresponding authors

Correspondence to Stefan Mundlos or Peter N Robinson.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Text and Figures

Supplementary Methods, Supplementary Note, Supplementary Figures 1–6 and Supplementary Tables 1–7 (PDF 1270 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Krawitz, P., Schweiger, M., Rödelsperger, C. et al. Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome. Nat Genet 42, 827–829 (2010). https://doi.org/10.1038/ng.653

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ng.653

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