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The current study design incorporates two previously developed, non-invasive approaches to characterize the phenotype of individuals affected with XLHED.
The current study design incorporates two previously developed, non-invasive approaches to characterize the phenotype of individuals affected with XLHED. Facial 3-dimensional (3D) imaging will be created from white-field morphometric scanning (Hammond, 2004. The 3D facial photographs collected from males (ages 4 years and up) will be used to develop a non-invasive screening tool, which could enable detection of craniofacial signs of XLHED in the newborn period. 3D facial profiling has been reported to be effective in identifying HED (Dellavia et al., 2008), but the technology does not yet meet the ease-of-use criteria for a universal screening tool.
Standard 2-dimensional (2D) frontal and lateral facial photographs will be taken of the same XLHED-affected male subjects as well as of adult females (ages 18-45 yrs) at risk for being XLHED carriers and unaffected adult female controls. The 2D facial photographs will serve a dual purpose; the first being to beta-test a previously developed algorithm to identify males affected with XLHED (Automatic Phenotype Identification of XLHED Patients Final Report, December 25, 2012, unpublished), and the second to adapt the facial recognition algorithm to identify female carriers of XLHED.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| XLHED affected Males | All males ages 4 and up affected by XLHED | ||
| Females affected by XLHED | Adult females (ages 18-45) affected by XLHED | ||
| Unaffected females | Unaffected adult female controls (ages 18-45) |
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| Measure | Description | Time Frame |
|---|---|---|
| To collect demographic and clinical status information in XLHED-affected males, adult females at risk for XLHED and adult female controls | To collect demographic and clinical status information in XLHED-affected males, adult females at risk for XLHED and adult female controls using a medical questionnaire | Study day 1 |
| To test and refine a computer algorithm for facial recognition of XLHED | To test and refine a computer algorithm for facial recognition of XLHED based on 2D facial photographs obtained from subjects at risk for XLHED and controls | Study day 1 |
| To evaluate 3-dimensional facial imaging technology for mapping craniofacial development in XLHED males | To evaluate 3-dimensional facial imaging technology for mapping craniofacial development in XLHED males | Study day 1 |
| To test for the presence of genetic mutations in subjects at risk for XLHED | To test for the presence of genetic mutations in subjects at risk for XLHED who lack prior genetic diagnosis | Study day 1 |
| To test the validity of a using saliva samples for genetic testing | To test the validity of a using saliva samples for genetic testing buy simultaneously perform genetic testing on blood and salvia and comparing the mutations identified | Study day 1 |
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Inclusion Criteria:
Exclusion Criteria:
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XLHED affected males and females and unaffected female controls
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| Name | Affiliation | Role |
|---|---|---|
| Dorothy K Grange, MD | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Omni Houston Hotel | Houston | Texas | 77056 | United States |
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| Label | URL |
|---|---|
| Sponsor website | View source |
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| ID | Term |
|---|---|
| D053358 | Ectodermal Dysplasia 1, Anhidrotic |
| ID | Term |
|---|---|
| D004476 | Ectodermal Dysplasia |
| D000015 | Abnormalities, Multiple |
| D000013 | Congenital Abnormalities |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
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Genetic tests will be carried out in a subset of subject in order to confirm XLHED status.
| D012868 | Skin Abnormalities |
| D040181 | Genetic Diseases, X-Linked |
| D030342 | Genetic Diseases, Inborn |
| D012873 | Skin Diseases, Genetic |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |