Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis

Background Craniofacial dysmorphic features are morphological changes of the face and skull which are associated with syndromic conditions. Moyamoya angiopathy is a rare cerebral vasculopathy that can be divided into Moyamoya syndrome, which is associated or secondary to other diseases, and into idi...

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Main Authors: Markus Kraemer, Quoc Bao Huynh, Dagmar Wieczorek, Brunilda Balliu, Barbara Mikat, Stefan Boehringer
Format: Article
Language:English
Published: PeerJ Inc. 2018-06-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/4740.pdf
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author Markus Kraemer
Quoc Bao Huynh
Dagmar Wieczorek
Brunilda Balliu
Barbara Mikat
Stefan Boehringer
author_facet Markus Kraemer
Quoc Bao Huynh
Dagmar Wieczorek
Brunilda Balliu
Barbara Mikat
Stefan Boehringer
author_sort Markus Kraemer
collection DOAJ
description Background Craniofacial dysmorphic features are morphological changes of the face and skull which are associated with syndromic conditions. Moyamoya angiopathy is a rare cerebral vasculopathy that can be divided into Moyamoya syndrome, which is associated or secondary to other diseases, and into idiopathic Moyamoya disease. Facial dysmorphism has been described in rare genetic syndromes with associated Moyamoya syndrome. However, a direct relationship between idiopathic Moyamoya disease with dysmorphic facial changes is not known yet. Methods Landmarks were manually placed on frontal photographs of the face of 45 patients with bilateral Moyamoya disease and 50 matched controls. After procrustes alignment of landmarks a multivariate, penalized logistic regression (elastic-net) was performed on geometric features derived from landmark data to classify patients against controls. Classifiers were visualized in importance plots that colorcode importance of geometric locations for the classification decision. Results The classification accuracy for discriminating the total patient group from controls was 82.3% (P-value = 6.3×10−11, binomial test, a-priori chance 50.2%) for an elastic-net classifier. Importance plots show that differences around the eyes and forehead were responsible for the discrimination. Subgroup analysis corrected for body mass index confirmed a similar result. Discussion Results suggest that there is a resemblance in faces of Caucasian patients with idiopathic Moyamoya disease and that there is a difference to matched controls. Replication of findings is necessary as it is difficult to control all residual confounding in study designs such as ours. If our results would be replicated in a larger cohort, this would be helpful for pathophysiological interpretation and early detection of the disease.
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spelling doaj.art-7cdc346003f147198c986a573621b79d2023-12-03T10:55:35ZengPeerJ Inc.PeerJ2167-83592018-06-016e474010.7717/peerj.4740Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysisMarkus Kraemer0Quoc Bao Huynh1Dagmar Wieczorek2Brunilda Balliu3Barbara Mikat4Stefan Boehringer5Department of Neurology, Alfried Krupp Hospital Essen, Essen, GermanyDepartment of Neurology, Alfried Krupp Hospital Essen, Essen, GermanyInstitute of Human Genetics, University of Duesseldorf, Duesseldorf, GermanyInstitute of Genetics, Stanford University School of Medicine, Stanford, CA, United States of AmericaInstitute of Human Genetics, University of Essen, Essen, GermanyBiomedical Data Sciences, Leiden University Medical Center, Leiden, The NederlandsBackground Craniofacial dysmorphic features are morphological changes of the face and skull which are associated with syndromic conditions. Moyamoya angiopathy is a rare cerebral vasculopathy that can be divided into Moyamoya syndrome, which is associated or secondary to other diseases, and into idiopathic Moyamoya disease. Facial dysmorphism has been described in rare genetic syndromes with associated Moyamoya syndrome. However, a direct relationship between idiopathic Moyamoya disease with dysmorphic facial changes is not known yet. Methods Landmarks were manually placed on frontal photographs of the face of 45 patients with bilateral Moyamoya disease and 50 matched controls. After procrustes alignment of landmarks a multivariate, penalized logistic regression (elastic-net) was performed on geometric features derived from landmark data to classify patients against controls. Classifiers were visualized in importance plots that colorcode importance of geometric locations for the classification decision. Results The classification accuracy for discriminating the total patient group from controls was 82.3% (P-value = 6.3×10−11, binomial test, a-priori chance 50.2%) for an elastic-net classifier. Importance plots show that differences around the eyes and forehead were responsible for the discrimination. Subgroup analysis corrected for body mass index confirmed a similar result. Discussion Results suggest that there is a resemblance in faces of Caucasian patients with idiopathic Moyamoya disease and that there is a difference to matched controls. Replication of findings is necessary as it is difficult to control all residual confounding in study designs such as ours. If our results would be replicated in a larger cohort, this would be helpful for pathophysiological interpretation and early detection of the disease.https://peerj.com/articles/4740.pdfMoyamoya diseaseIdiopathicResemblanceFaceGenetic causesPhotographs
spellingShingle Markus Kraemer
Quoc Bao Huynh
Dagmar Wieczorek
Brunilda Balliu
Barbara Mikat
Stefan Boehringer
Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
PeerJ
Moyamoya disease
Idiopathic
Resemblance
Face
Genetic causes
Photographs
title Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
title_full Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
title_fullStr Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
title_full_unstemmed Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
title_short Distinctive facial features in idiopathic Moyamoya disease in Caucasians: a first systematic analysis
title_sort distinctive facial features in idiopathic moyamoya disease in caucasians a first systematic analysis
topic Moyamoya disease
Idiopathic
Resemblance
Face
Genetic causes
Photographs
url https://peerj.com/articles/4740.pdf
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