Literature DB >> 33369085

Distinctive facial features in Andersen-Tawil syndrome: A three-dimensional stereophotogrammetric analysis.

Claudia Dolci1, Valeria A Sansone2, Daniele Gibelli1, Annalisa Cappella1, Chiarella Sforza1.   

Abstract

Andersen-Tawil syndrome (ATS) is a rare potassium channelopathy causing periodic paralysis, cardiac arrhythmias, and dysmorphic features. A detailed analysis of the face could facilitate diagnosis of ATS, as approximately 30% of patients do not show variants in KCNJ2 gene, and diagnosis is established by clinical findings. We aimed to characterize the face in ATS through a quantitative approach, as facial anomalies may be unnoticed on visual inspection. Facial images of 12 subjects with genetically confirmed ATS (six males, six females, age 5-67 years) were acquired through stereophotogrammetry. Using 38 soft-tissue landmarks, linear distances, angles, and ratios were calculated and expressed as z-score values, with reference to 477 healthy subjects matched for sex and age. All patients showed decreased lower facial height with shortening of philtrum (mean z-score ± SD: -1.5 ± 0.9), smaller mid and lower facial depths (-1.9 ± 0.7; -2.3 ± 0.9), short palpebral fissures (right -1.2 ± 0.4; left -1.6 ± 0.6), smaller mandibular ramus length (-2.1 ± 0.4), and increased nasal width/length ratio (1.4 ± 0.5) with smaller nostril axis length (right -1.8 ± 0.8, left -1.6 ± 0.7). Hypertelorism and low-set ears were detected in two-thirds of patients. The study quantified facial dysmorphysm in ATS, extending information about known features, and detecting unrecorded philtrum and nostril characteristics, which may be distinctive traits of the disorder.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  Andersen-Tawil syndrome; anthropometry; facial feature, 3D; stereophotogrammetry

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Year:  2020        PMID: 33369085     DOI: 10.1002/ajmg.a.62040

Source DB:  PubMed          Journal:  Am J Med Genet A        ISSN: 1552-4825            Impact factor:   2.802


  2 in total

1.  Objective study of the facial parameters of observations in patients with type 2 diabetes mellitus by machine learning.

Authors:  Baozhi Cheng; Jianli Ma; Xiaolong Chen; Lingyan Yuan
Journal:  Ann Transl Med       Date:  2022-09

2.  Robustness of Distinctive Facial Features in Prader-Willi Syndrome: A Stereophotogrammetric Analysis and Association with Clinical and Biochemical Markers in Adult Individuals.

Authors:  Claudia Dolci; Antonello E Rigamonti; Annalisa Cappella; Daniele M Gibelli; Graziano Grugni; Diana Caroli; Chiarella Sforza; Alessandro Sartorio
Journal:  Biology (Basel)       Date:  2022-07-30
  2 in total

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