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    Clinical dysmorphology

    Clinical dysmorphology

    JournalISSN 0962-8827eISSN 1473-5717中科院 医学 4区

    年发文量

    研究主题

    论文(2040)

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    1Mucopolysaccharidoses in Morocco: a 19-Year Retrospective Study Reveals a Founder Mutation in Mucopolysaccharidosis Type I and Delineates the Clinical Spectrum
    Azzeddine Laaraje,Abdelilah Radi,Abdelhakim Ourrai,Amale Hassani,Rachid Abilkassem

    Introduction Mucopolysaccharidoses (MPS) are lysosomal storage disorders characterized by distinctive dysmorphic features and skeletal abnormalities, with marked genetic heterogeneity across populations. Limited data exist on the MPS clinical spectrum and molecular characteristics in North Africa. Methods We conducted a retrospective study of 24 MPS patients followed at Mohammed V Military Hospital, Rabat, Morocco (2005–2023). Clinical phenotyping utilized Human Phenotype Ontology terminology. Biochemical analyses included urinary glycosaminoglycans and enzymatic assays. Molecular analysis comprised DNA sequencing of relevant genes. Results MPS I predominated (75%, n = 18), followed by MPS IV (17%, n = 4), and MPS III and VII (4% each). The consanguinity rate was 78% (first-degree: 72%). All 16 genotyped MPS I patients carried the homozygous p.P533R (c.1598C>G) mutation (100%), confirming a founder effect. Despite genetic homogeneity, phenotypic variability was observed: Hurler-Scheie intermediate phenotype (83.3%) versus severe Hurler (16.7%). Common features included coarse facial features (HP:0000280, 89%), dysostosis multiplex (HP:0000925, 94%), joint contractures (HP:0001371, 94%), hepatosplenomegaly (78%), and corneal opacity (HP:0007957, 100%). The median age at diagnosis was 4.0 years (range 1 month–13.5 years), with a median diagnostic delay of 3.0 years. Conclusion This first comprehensive Moroccan MPS series establishes p.P533R as a major founder mutation in MPS I, with implications for targeted genetic testing and counseling in consanguineous North African populations. The phenotypic variability despite complete genetic homogeneity suggests modifier genes influence disease expression.

    2026
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    2A Prenatal-Onset Severe Phenotype of SLC35A2-related Congenital Disorder of Glycosylation Associated with a Mosaic Hemizygous Intronic Variant
    Yukiko Kuroda, Tomoko Saito, Yasuhiro Kawai,Takuya Naruto
    2026
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    3Application of Deep Learning and Explainable AI-supported Medical Decision-Making for Facial Phenotyping in Genetic Syndromes
    Ömer Sümer,Tobias Huber, Jiayi Cheng,Dat Duong, Suzanna E. Ledgister Hanchard,Cristina Conati,Elisabeth André,Benjamin D. Solomon, Rebekah L. Waikel

    Objective To conduct a pilot study to assess whether saliency-based explainable artificial intelligence (XAI) affects the recognition of genetic conditions from facial images. Methods Forty-four medical geneticists, divided into AI-only and XAI-supported groups, assessed 18 images of individuals with or without genetic conditions. Diagnostic accuracy and confidence were recorded before and after viewing an AI classifier’s prediction probability, with or without XAI explanations. Mediation analyses were conducted to better interpret how geneticists interact with AI and XAI in decision-making. Results AI-only and XAI support improved accuracy for correct AI classifications, while incorrect AI classifications decreased accuracy. Average confidence increased with correct and decreased with incorrect classification. Geneticists reported that AI prediction probability was useful, whereas XAI explanations were viewed less favorably. For incorrect AI classifications, there was a negative correlation between accuracy improvement and perceived AI usefulness. When AI was correct (without XAI), the model prediction probability acted as a mediator between user confidence and the user’s decision to choose the same answer as AI. Conclusion The lack of accuracy or confidence improvements indicates that participants did not integrate saliency-based XAI into decisions. AI prediction probability had a greater impact on participants’ decision-making. These data may help inform larger studies.

    2026
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    4Monochorionic Dizygotic Twins with Discordant Genetic Findings and Congenital Malformations.
    Caiqun Luo,Xiaoxia Wu, Yang Liu, Qing Feng,Liyuan Chen,Hui Wang

    OBJECTIVE:To describe prenatal evaluation and postnatal outcome of monochorionic diamniotic twins with discordant anomalies and genetic findings after intracytoplasmic sperm injection and double-embryo transfer. METHODS:A 36-year-old gravida 3 para 0 woman conceived after transfer of two blastocysts. Ultrasound identified monochorionic diamniotic twins and a liver-containing omphalocele in fetus B. Both sacs underwent separate amniocentesis. Testing included karyotyping, chromosome microarray, Beckwith-Wiedemann syndrome analysis, trio whole-exome sequencing, short tandem repeat analysis, postnatal peripheral blood fluorescence in situ hybridization, and placental histopathology. RESULTS:Fetus A had mosaic 45,X[9]/46,XY[91]; fetus B had a 46,XY karyotype. Other prenatal genetic tests were unremarkable. Discordance at 11 of 21 short tandem repeat loci supported dizygosity. Following prelabor rupture of membranes at 34 + 5 weeks, two male infants were delivered by cesarean section. Twin A had hypospadias and bilateral cryptorchidism; twin B had giant omphalocele requiring surgical repair. Postnatal fluorescence in situ hybridization detected no sex-chromosome mosaicism. Placental histopathology confirmed monochorionicity. CONCLUSION:Monochorionicity does not exclude dizygosity after assisted reproduction. Separate sampling of both sacs may inform discordant cases, and prenatal-postnatal discrepancies in 45,X/46,XY mosaicism warrant cautious longitudinal interpretation.

    2026
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    5Developmental Delay, White Matter Changes, and Multiple Endocrine Hormone Deficiencies in MADD-related Disorders: a New Case and Phenotypic Expansion.
    Vykuntaraju K Gowda,Varunvenkat M Srinivasan,Archana Varghese, G Lekshmi, H N Vani,Amena Nayyer, Dipali Rai,Bani Jolly,Vinod Scaria
    2026
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    高被引作者

    作者引用发文
    Dian Donnai46826
    Raoul Hennekam43810
    Michael Baraitser41728
    Benjamin D. Solomon4109
    W Reardon34422
    Zihan Ye2431
    Xing Ma2431
    Changyong Gao2431
    Qiang He2431
    Yong Wang2431

    高产作者

    作者引用发文
    Shubha R Phadke14528
    Michael Baraitser41728
    Dian Donnai46826
    W Reardon34422
    Katta Girisha9922
    Meena Balasubramanian13016
    Jill Clayton-Smith14915
    Anju Shukla5715
    Sally Ann Lynch13114
    Christine M. Hall20614

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