Fine-grained facial phenotype–genotype analysis in Wolf–Hirschhorn syndrome

被引:0
|
作者
Peter Hammond
Femke Hannes
Michael Suttie
Koen Devriendt
Joris Robert Vermeesch
Francesca Faravelli
Francesca Forzano
Susan Parekh
Steve Williams
Dominic McMullan
Sarah T South
John C Carey
Oliver Quarrell
机构
[1] Molecular Medicine Unit,Department of Clinical Genetics
[2] UCL Institute of Child Health,Department of Cytogenetics
[3] Centre for Human-Genetics,Department of Pediatrics, Division of Medical Genetics
[4] University of Leuven,undefined
[5] SC Genetica Umana,undefined
[6] EO Ospedali Galliera,undefined
[7] UCL Eastman Dental Institute,undefined
[8] Sheffield Children's Hospital,undefined
[9] Birmingham Women's Hospital,undefined
[10] University of Utah,undefined
来源
关键词
Wolf–Hirschhorn syndrome; facial dysmorphism; 3D shape analysis;
D O I
暂无
中图分类号
学科分类号
摘要
Wolf–Hirschhorn syndrome is caused by anomalies of the short arm of chromosome 4. About 55% of cases are due to de novo terminal deletions, 40% from unbalanced translocations and 5% from other abnormalities. The facial phenotype is characterized by hypertelorism, protruding eyes, prominent glabella, broad nasal bridge and short philtrum. We used dense surface modelling and pattern recognition techniques to delineate the milder facial phenotype of individuals with a small terminal deletion (breakpoint within 4p16.3) compared to those with a large deletion (breakpoint more proximal than 4p16.3). Further, fine-grained facial analysis of several individuals with an atypical genotype and/or phenotype suggests that multiple genes contiguously contribute to the characteristic Wolf–Hirschhorn syndrome facial phenotype.
引用
收藏
页码:33 / 40
页数:7
相关论文
共 50 条
  • [41] Talk-to-Edit: Fine-Grained Facial Editing via Dialog
    Jiang, Yuming
    Huang, Ziqi
    Pan, Xingang
    Loy, Chen Change
    Liu, Ziwei
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 13779 - 13788
  • [42] Emotion knowledge-based fine-grained facial expression recognition
    Zhu, Jiacheng
    Ding, Yu
    Liu, Hanwei
    Chen, Keyu
    Lin, Zhanpeng
    Hong, Wenxing
    NEUROCOMPUTING, 2024, 610
  • [43] ORIENTATION ANALYSIS OF FINE-GRAINED CLASTIC SEDIMENTS
    DAPPLES, EC
    ROMINGER, JF
    GEOLOGICAL SOCIETY OF AMERICA BULLETIN, 1945, 56 (12) : 1153 - 1154
  • [44] Fine-grained multilayer virtualized systems analysis
    Biancheri, Cedric
    Dagenais, Michel R.
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2016, 5
  • [45] Fine-Grained Financial News Sentiment Analysis
    Meyer, Bradley
    Bikdash, Marwan
    Dai, Xiangfeng
    SOUTHEASTCON 2017, 2017,
  • [46] Fine-Grained Analysis of Packet Loss in MANETs
    Khan, Muhammad Saleem
    Midi, Daniele
    Khan, Majid Iqbal
    Bertino, Elisa
    IEEE ACCESS, 2017, 5 : 7798 - 7807
  • [47] Fine-Grained Analysis of Propaganda in News Articles
    Da San Martino, Giovanni
    Yu, Seunghak
    Barron-Cedeno, Alberto
    Petrov, Rostislav
    Nakov, Preslav
    2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019): PROCEEDINGS OF THE CONFERENCE, 2019, : 5636 - 5646
  • [48] NEURAL DISCRIMINANT ANALYSIS FOR FINE-GRAINED CLASSIFICATION
    Ha, Mai Lan
    Blanz, Volker
    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 1656 - 1660
  • [49] Fine-Grained Analysis of Similar Code Snippets
    Galasso, Jessie
    Famelis, Michalis
    Sahraoui, Houari
    REUSE AND SOFTWARE QUALITY (ICSR 2022), 2022, 13297 : 3 - 21
  • [50] MERCURY POROSIMETRY ANALYSIS OF FINE-GRAINED GRAPHITE
    BRIXIUS, WH
    DAGDIGIAN, JV
    CARBON, 1984, 22 (02) : 230 - 230