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Rare Dis. 2013 May 30;1:e25212. doi: 10.4161/rdis.25212. eCollection 2013.

Lifetime risk estimators in epidemiological studies of Krabbe Disease: Review and Monte Carlo comparison.

Rare diseases (Austin, Tex.)

Alexander H Foss, Patricia K Duffner, Randy L Carter

Affiliations

  1. Department of Biostatistics; Population Health Observatory; School of Public Health and Health Professions; University at Buffalo; State University of New York; Buffalo, NY USA.
  2. Hunter James Kelly Research Institute; Department of Neurology; University at Buffalo; State University of New York; Buffalo, NY USA.

PMID: 25003000 PMCID: PMC4070066 DOI: 10.4161/rdis.25212

Abstract

This review addresses difficulties arising in estimating epidemiological parameters of leukodystrophies and lysosomal storage disorders, with special focus on Krabbe disease. Although multiple epidemiological studies of Krabbe disease have been published, these studies are difficult to reconcile since they have used different study populations and varying methods of calculation. Confusion exists regarding which epidemiological parameters have been estimated; the current review shows that most previous estimates can be properly interpreted as lifetime risk at birth. One of the most common estimation methods is shown to be inaccurate, while two other methods are shown to be approximately accurate. Based on the results of the current paper, recommendations are made that are expected to improve the quality of future studies of Krabbe disease. It is anticipated that these recommendations will be applicable to epidemiological studies of other lysosomal storage disorders, as well as any other rare diseases diagnosed with enzymatic screening.

Keywords: Monte Carlo method; epidemiology; globoid cell; inborn errors; incidence; leukodystrophy; lifetime risk; lysosomal storage diseases; metabolism; prevalence

References

  1. Neurology. 2010 Aug 24;75(8):718-25 - PubMed
  2. Med Dosim. 2001 Summer;26(2):157-68 - PubMed
  3. Pediatr Neurol. 2009 Apr;40(4):245-52; discussion 253-5 - PubMed
  4. Am J Med Genet. 1997 Sep 5;71(4):475-8 - PubMed
  5. Genet Couns. 1995;6(1):43-7 - PubMed
  6. Genomics. 1995 Mar 20;26(2):407-9 - PubMed
  7. Am J Med Genet. 1985 Aug;21(4):765-70 - PubMed
  8. Lancet Neurol. 2007 Dec;6(12):1106-14 - PubMed
  9. Am J Med Genet A. 2012 Nov;158A(11):2835-42 - PubMed
  10. Pediatr Neurol. 2012 Nov;47(5):324-9 - PubMed
  11. Brain Dev. 2004 Sep;26(6):363-6 - PubMed
  12. Stat Med. 2000 Jun 15-30;19(11-12):1495-522 - PubMed
  13. Am J Med Genet A. 2011 Mar;155A(3):574-6 - PubMed
  14. Eur J Pediatr. 1997 Aug;156(8):650-4 - PubMed
  15. J Am Stat Assoc. 1949 Sep;44(247):335-41 - PubMed
  16. Dev Neurosci. 1991;13(4-5):240-4 - PubMed
  17. Dev Neurosci. 1991;13(4-5):232-9 - PubMed
  18. Acta Paediatr. 1995 Feb;84(2):218-21 - PubMed
  19. Annu Rev Biochem. 1975;44:357-76 - PubMed
  20. Pediatrics. 2000 Jan;105(1):e10 - PubMed
  21. Hum Genet. 1999 Jul-Aug;105(1-2):151-6 - PubMed
  22. Natl Vital Stat Rep. 2011 Nov 3;60(1):1-70 - PubMed
  23. J Pediatr. 2002 Mar;140(3):321-7 - PubMed
  24. Neuropadiatrie. 1969 Jun-Jul;1(1):74-88 - PubMed
  25. Eur J Hum Genet. 2004 Feb;12(2):87-92 - PubMed
  26. J Inherit Metab Dis. 2010 Aug;33(4):387-96 - PubMed
  27. Gastroenterology. 1965 May;48:625-33 - PubMed
  28. J Inherit Metab Dis. 1990;13(6):849-61 - PubMed
  29. Trends Ecol Evol. 2011 Aug;26(8):424-32 - PubMed
  30. Pediatr Neurol. 2009 Jan;40(1):13-8 - PubMed
  31. JAMA. 1999 Jan 20;281(3):249-54 - PubMed
  32. Isr J Med Sci. 1991 Apr;27(4):196-8 - PubMed
  33. Am J Med Genet. 1992 Feb 15;42(4):536-8 - PubMed

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