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Quantitative Approach to Identifying Abnormal Variation in the Human Face Exemplified by a Study of 278 Individuals with Five Craniofacial Syndromes by Ward, Richard E.; Jamison, Paul L.; Allanson, Judith E. is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Quantitative Approach to Identifying Abnormal Variation in the Human Face Exemplified by a Study of 278 Individuals with Five Craniofacial Syndromes about?

We have two objectives in this study: to demonstrate the utility of two summary anthropometric measures for quantifying craniofacial variation and to explore some of their potential uses by physicians and clinical morphologists in general. The Craniofacial Variability Index (CVI) is a summary anthropometric measure of facial "harmony." The mean z-score, based on craniofacial anthropometry, is a measure of overall facial size. Both add an objective component to the assessment of individual facial variation and allow us to place the individual along a scale of continuous variation with predetermined limits of "normality" based on a reference or control series. Our results suggest that these summary measures coincide well with clinical assessments of abnormality in 278 individuals representing five distinct syndromes (Brachmann-de Lange, Prader-Willi, Rubinstein-Taybi, Smith-Magenis, and Sotos), each of which has an associated craniofacial component. Although craniofacial variation is continuous and the normal and syndromic populations overlap to varying degrees, the syndromic cases can be characterized in a variety of ways by using CVI as a measure of facial harmony and Mean-Z as an

Who reads Quantitative Approach to Identifying Abnormal Variation in the Human Face Exemplified by a Study of 278 Individuals with Five Craniofacial Syndromes?

Author

Ward, Richard E.; Jamison, Paul L.; Allanson, Judith E.

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0148-7299)

Published

2000

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)