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Prevalence rates for ectodermal dysplasia syndromes.

Clayton Butcher1, Becky M Abbott2, Dorothy Grange3

  • 1Department of Medicine, University of Missouri School of Medicine, Columbia, Missouri, USA.

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Summary
This summary is machine-generated.

This study determined the prevalence of several ectodermal dysplasia (ED) syndromes using electronic health records. Hypohidrotic ectodermal dysplasia was found to be the most common ED, with a prevalence of 2.99 per 100,000 individuals.

Keywords:
ankyloblepharon‐ectodermal defects‐cleft lip/palateectodermal dysplasia with immune deficiencyectrodactyly ectodermal dysplasia—cleft lip/palatefocal dermal hypoplasiahypohidrotic ectodermal dysplasiaincontinentia pigmenti

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Area of Science:

  • Genetics and developmental biology
  • Epidemiology
  • Rare disease research

Background:

  • Ectodermal dysplasias (EDs) are a group of rare genetic disorders affecting ectodermal derivatives like hair, teeth, and nails.
  • There are 49 recognized EDs, but prevalence data is scarce, hindering research and support for affected families.
  • Genomics advancements highlight the need for better understanding and research into rare diseases.

Purpose of the Study:

  • To determine the period prevalence rates of common ectodermal dysplasia syndromes.
  • To assess the feasibility of using large electronic health record databases for rare disease research.

Main Methods:

  • Developed clinical definitions for ED syndromes through expert consensus.
  • Utilized ICD-9 and ICD-10 codes for case identification.
  • Queried the Oracle Real-World Data database (January 2023 version) containing 64,523,460 medical records.

Main Results:

  • Calculated period prevalence rates for seven ED disorders.
  • Hypohidrotic ectodermal dysplasia: 2.99 per 100,000.
  • Other EDs ranged from 0.10 to 0.88 per 100,000, including Incontinentia Pigmenti (0.88) and Ectrodactyly Ectodermal Dysplasia Cleft Lip/Palate (0.61).

Conclusions:

  • Established estimated period prevalence rates for several ED syndromes.
  • Demonstrated the utility of large, multicenter electronic health record databases for rare disease research.
  • This methodology provides a foundation for future epidemiological studies on EDs.