Literature DB >> 31086247

The facial dysmorphology analysis technology in intellectual disability syndromes related to defects in the histones modifiers.

Giulia Pascolini1, Nicole Fleischer2, Alessandro Ferraris3, Silvia Majore3, Paola Grammatico3.   

Abstract

Genetic syndromes are frequently associated with Intellectual Disability (ID), as well as craniofacial dysmorphisms. A group of ID syndromes with typical abnormal face related to chromatin remodeling defects, have been recognized, coining the term chromatinopathies. This is a molecular heterogeneous subset of congenital disorders caused by mutations of the various components of the Chromatin-Marking System (CMS), including modifiers of DNA and chromatin remodelers. We performed a phenotypic study on a sample of 120 individuals harboring variants in genes codifying for the histones enzymes, using the DeepGestalt technology. Three experiments (two multiclass comparison experiments and a frontal face-crop analysis) were conducted, analyzing respectively a total of 181 pediatric images in the first comparison experiment and 180 in the second, all individuals belonging predominantly to Caucasian population. The classification results were expressed in terms of the area under the curve (AUC) of the receiver-operating-characteristic curve (ROC). Significant values of AUC and low p-values were registered for all syndromes in the three experiments, in comparison with each other, with other ID syndromes characterized by recognizable craniofacial dysmorphisms and with unaffected controls. Final findings indicated that this group of diseases is characterized by distinctive dysmorphisms, which result pathognomonic. A correct interrogation and use of adequate informatics aids, could become a valid support for clinicians.

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Year:  2019        PMID: 31086247     DOI: 10.1038/s10038-019-0598-0

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  25 in total

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Authors:  Olivia K Gardner; Karla Haynes; Daniela Schweitzer; Alexis Johns; William P Magee; Mark M Urata; Pedro A Sanchez-Lara
Journal:  Cleft Palate Craniofac J       Date:  2016-06-29

Review 2.  Recognizable phenotypes in CDG.

Authors:  Carlos R Ferreira; Ruqaia Altassan; Dorinda Marques-Da-Silva; Rita Francisco; Jaak Jaeken; Eva Morava
Journal:  J Inherit Metab Dis       Date:  2018-04-13       Impact factor: 4.982

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

Authors:  A Lumaka; N Cosemans; A Lulebo Mampasi; G Mubungu; N Mvuama; T Lubala; S Mbuyi-Musanzayi; J Breckpot; M Holvoet; T de Ravel; G Van Buggenhout; H Peeters; D Donnai; L Mutesa; A Verloes; P Lukusa Tshilobo; K Devriendt
Journal:  Clin Genet       Date:  2017-01-16       Impact factor: 4.438

4.  Natural history and genotype-phenotype correlations in 72 individuals with SATB2-associated syndrome.

Authors:  Yuri A Zarate; Constance L Smith-Hicks; Carol Greene; Mary-Alice Abbott; Victoria M Siu; Amy R U L Calhoun; Arti Pandya; Chumei Li; Elizabeth A Sellars; Julie Kaylor; Katherine Bosanko; Louisa Kalsner; Alice Basinger; Anne M Slavotinek; Hazel Perry; Margarita Saenz; Marta Szybowska; Louise C Wilson; Ajith Kumar; Caroline Brain; Meena Balasubramanian; Holly Dubbs; Xilma R Ortiz-Gonzalez; Elaine Zackai; Quinn Stein; Cynthia M Powell; Samantha Schrier Vergano; Allison Britt; Angela Sun; Wendy Smith; E Martina Bebin; Jonathan Picker; Amelia Kirby; Hailey Pinz; Hannah Bombei; Sonal Mahida; Julie S Cohen; Ali Fatemi; Hilary J Vernon; Rebecca McClellan; Leah R Fleming; Brittney Knyszek; Michelle Steinraths; Cruz Velasco Gonzalez; Anita E Beck; Katie L Golden-Grant; Alena Egense; Aditi Parikh; Chantalle Raimondi; Brad Angle; William Allen; Suzanna Schott; Adi Algrabli; Nathaniel H Robin; Joseph W Ray; David B Everman; Michael J Gambello; Wendy K Chung
Journal:  Am J Med Genet A       Date:  2018-02-13       Impact factor: 2.802

5.  Mutations in the chromatin modifier gene KANSL1 cause the 17q21.31 microdeletion syndrome.

Authors:  David A Koolen; Jamie M Kramer; Kornelia Neveling; Willy M Nillesen; Heather L Moore-Barton; Frances V Elmslie; Annick Toutain; Jeanne Amiel; Valérie Malan; Anne Chun-Hui Tsai; Sau Wai Cheung; Christian Gilissen; Eugene T P Verwiel; Sarah Martens; Ton Feuth; Ernie M H F Bongers; Petra de Vries; Hans Scheffer; Lisenka E L M Vissers; Arjan P M de Brouwer; Han G Brunner; Joris A Veltman; Annette Schenck; Helger G Yntema; Bert B A de Vries
Journal:  Nat Genet       Date:  2012-04-29       Impact factor: 38.330

6.  Exome sequencing identifies MLL2 mutations as a cause of Kabuki syndrome.

Authors:  Sarah B Ng; Abigail W Bigham; Kati J Buckingham; Mark C Hannibal; Margaret J McMillin; Heidi I Gildersleeve; Anita E Beck; Holly K Tabor; Gregory M Cooper; Heather C Mefford; Choli Lee; Emily H Turner; Joshua D Smith; Mark J Rieder; Koh-Ichiro Yoshiura; Naomichi Matsumoto; Tohru Ohta; Norio Niikawa; Deborah A Nickerson; Michael J Bamshad; Jay Shendure
Journal:  Nat Genet       Date:  2010-08-15       Impact factor: 38.330

7.  The role of objective facial analysis using FDNA in making diagnoses following whole exome analysis. Report of two patients with mutations in the BAF complex genes.

Authors:  Karen W Gripp; Laura Baker; Aida Telegrafi; Kristin G Monaghan
Journal:  Am J Med Genet A       Date:  2016-04-26       Impact factor: 2.802

8.  Recognition of the Cornelia de Lange syndrome phenotype with facial dysmorphology novel analysis.

Authors:  L Basel-Vanagaite; L Wolf; M Orin; L Larizza; C Gervasini; I D Krantz; M A Deardoff
Journal:  Clin Genet       Date:  2016-01-25       Impact factor: 4.438

9.  Further delineation of Aymé-Gripp syndrome and use of automated facial analysis tool.

Authors:  Shivarajan M Amudhavalli; Randi Hanson; Brad Angle; Kelly Bontempo; Karen W Gripp
Journal:  Am J Med Genet A       Date:  2018-07       Impact factor: 2.802

10.  Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis.

Authors:  Alexej Knaus; Jean Tori Pantel; Manuela Pendziwiat; Nurulhuda Hajjir; Max Zhao; Tzung-Chien Hsieh; Max Schubach; Yaron Gurovich; Nicole Fleischer; Marten Jäger; Sebastian Köhler; Hiltrud Muhle; Christian Korff; Rikke S Møller; Allan Bayat; Patrick Calvas; Nicolas Chassaing; Hannah Warren; Steven Skinner; Raymond Louie; Christina Evers; Marc Bohn; Hans-Jürgen Christen; Myrthe van den Born; Ewa Obersztyn; Agnieszka Charzewska; Milda Endziniene; Fanny Kortüm; Natasha Brown; Peter N Robinson; Helenius J Schelhaas; Yvonne Weber; Ingo Helbig; Stefan Mundlos; Denise Horn; Peter M Krawitz
Journal:  Genome Med       Date:  2018-01-09       Impact factor: 11.117

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  2 in total

1.  Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study.

Authors:  Jean Tori Pantel; Nurulhuda Hajjir; Magdalena Danyel; Jonas Elsner; Angela Teresa Abad-Perez; Peter Hansen; Stefan Mundlos; Malte Spielmann; Denise Horn; Claus-Eric Ott; Martin Atta Mensah
Journal:  J Med Internet Res       Date:  2020-10-22       Impact factor: 5.428

2.  Assessment of Facial Morphologic Features in Patients With Congenital Adrenal Hyperplasia Using Deep Learning.

Authors:  Wael AbdAlmageed; Hengameh Mirzaalian; Xiao Guo; Linda M Randolph; Veeraya K Tanawattanacharoen; Mitchell E Geffner; Heather M Ross; Mimi S Kim
Journal:  JAMA Netw Open       Date:  2020-11-02
  2 in total

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