Facial dysmorphism is influenced by ethnic background of the patient and of the evaluator

The evaluation of facial dysmorphism is a critical step toward reaching a diagnostic. The aim of the present study was to evaluate the ability to interpret facial morphology in African children with intellectual disability (ID). First, 10 experienced clinicians (five from Africa and five from Europe...

Full description

Saved in:
Bibliographic Details
Published in:Clinical genetics Vol. 92; no. 2; pp. 166 - 171
Main Authors: Lumaka, A., Cosemans, N., Lulebo Mampasi, A., Mubungu, G., Mvuama, N., Lubala, T., Mbuyi‐Musanzayi, S., Breckpot, J., Holvoet, M., de Ravel, T., Van Buggenhout, G., Peeters, H., Donnai, D., Mutesa, L., Verloes, A., Lukusa Tshilobo, P., Devriendt, K.
Format: Journal Article Web Resource
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-08-2017
Wiley
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The evaluation of facial dysmorphism is a critical step toward reaching a diagnostic. The aim of the present study was to evaluate the ability to interpret facial morphology in African children with intellectual disability (ID). First, 10 experienced clinicians (five from Africa and five from Europe) rated gestalt in 127 African non‐Down Syndrome (non‐DS) patients using either the score 2 for ‘clearly dysmorphic’, 0 for ‘clearly non dysmorphic’ or 1 for ‘uncertain’. The inter‐rater agreement was determined using kappa coefficient. There was only fair agreement between African and European raters (kappa‐coefficient = 0.29). Second, we applied the FDNA Face2Gene solution to assess Down Syndrome (DS) faces. Initially, Face2Gene showed a better recognition rate for DS in Caucasian (80%) compared to African (36.8%). We trained the Face2Gene with a set of African DS and non‐DS photographs. Interestingly, the recognition in African increased to 94.7%. Thus, training improved the sensitivity of Face2Gene. Our data suggest that human based evaluation is influenced by ethnic background of the evaluator. In addition, computer based evaluation indicates that the ethnic of the patient also influences the evaluation and that training may increase the detection specificity for a particular ethnic.
Bibliography:D. D. and K. D collaborated with FDNA® as members of the scientific advisory board. A. L., N. C., A. L. M., N. M., G. M., T. L., S. M. M., J. B., M. H., T. d. R., G. v. B., D. D, H. P., L. M., A. V., P. L. T. declare no conflict of interest.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
scopus-id:2-s2.0-85009455692
ISSN:0009-9163
1399-0004
1399-0004
DOI:10.1111/cge.12948