Publications using Face2Gene

Bibliography / References (updated as of September 2023) Case Studies
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Kim JS, Ko H, Woo H, Kim WS. Lessons Learned from the Point-of-Care Use of a Facial Analysis Technology. Ann Child Neurol 2023 September. doi.org/10.26815/acn.2023.00227

 

Feng, B., Li, X., Zhang, Q. et al. Molecular and phenotypic spectrum of cardio-facio-cutaneous syndrome in Chinese patients. Orphanet J Rare Dis 18, 284 (2023). https://doi.org/10.1186/s13023-023-02878-0

 

Obara K, Abe E, Toyoshima I. Whole-Exome Sequencing Identified a Novel DYRK1A Variant in a Patient With Intellectual Developmental Disorder, Autosomal Dominant 7. Cureus. 2023 Jan 5;15(1):e33379. doi: 10.7759/cureus.33379. PMID: 36628390; PMCID: PMC9822525.

Lesmann, Hellen, Klinkhammer, Hannah and M. Krawitz, Prof. Dr. med. Dipl. Phys. Peter. “The future role of facial image analysis in ACMG classification guidelines” Medizinische Genetik, vol. 35, no. 2, 2023, pp. 115-121. https://doi.org/10.1515/medgen-2023-2014

 

Toni Kasole Lubala, Tony Kayembe-Kitenge, Gerrye Mubungu, Aimé Lumaka, Gray Kanteng, Sarah Savage, Oscar Luboya, Randi Hagerman, Koenraad Devriendt, Prosper Lukusa-Tshilobo, Usefulness of automated image analysis for recognition of the fragile X syndrome gestalt in Congolese subjects, European Journal of Medical Genetics, Volume 66, Issue 9, 2023, https://doi.org/10.1016/j.ejmg.2023.104819.

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Echeverry-Quiceno, L.M., Candelo, E., Gómez, E. et al. Population-specific facial traits and diagnosis accuracy of genetic and rare diseases in an admixed Colombian population. Sci Rep 13, 6869 (2023). https://doi.org/10.1038/s41598-023-33374-x

 

Ciancia, S., Goedegebuure, W.J., Grootjen, L.N. et al. Computer-aided facial analysis as a tool to identify patients with Silver–Russell syndrome and Prader–Willi syndrome. Eur J Pediatr (2023). https://doi.org/10.1007/s00431-023-04937-x

 

Pascolini, G., Gaudioso, F., Baldi, M. et al. Facial clues to the photosensitive trichothiodystrophy phenotype in childhood. J Hum Genet 68, 437–443 (2023). https://doi.org/10.1038/s10038-023-01134-4

 

Chorin O, Hirsch Y, Rock R, Salzer Sheelo L, Goldberg Y, Mandel H, Hershkovitz T, Fleischer N, Greenbaum L, Katz U, Barel O, Hamed N, Ben-Zeev B, Greenberger S, Nasser Samra N, Stern Zimmer M, Raas-Rothschild A and Pode-Shakked B (2022) Vici syndrome in Israel: Clinical and molecular insights. Front. Genet. 13:991721. doi: 10.3389/fgene.2022.991721

 

Valverde de Morales, H. G., Wang, H.-L. V., Garber, K., Cheng, X., Corces, V. G., & Li, H. (2022). Expansion of the genotypic and phenotypic spectrum of CTCF-related disorder guides clinical management: 43 new subjects and a comprehensive literature review. American Journal of Medical Genetics Part A, 1– 12. https://doi.org/10.1002/ajmg.a.63065

 

Marwaha, A., Costain, G., Cytrynbaum, C., Mendoza-Londono, R., Chad, L., Awamleh, Z., Chater-Diehl, E., Choufani, S., & Weksberg, R. (2022). The utility of DNA methylation signatures in directing genome sequencing workflow: Kabuki syndrome and CDK13-related disorder. American Journal of Medical Genetics Part A, 188A: 1368– 1375 doi.org/10.1002/ajmg.a.62650

 

Cousin, M.A., Veale, E.L., Dsouza, N.R. et al. (2022) Gain and loss of TASK3 channel function and its regulation by novel variation cause KCNK9 imprinting syndrome. Genome Med 14, 62. doi.org/10.1186/s13073-022-01064-4

 

Nagy D, Verheyen S, Wigby KM, Borovikov A, Sharkov A, et al. (2022) Genotype-Phenotype Comparison in POGZ-Related Neurodevelopmental Disorders by Using Clinical Scoring. Genes. 2022; 13(1):154. https://doi.org/10.3390/genes13010154

 

Schoeman, L., Honey, E.M., Malherbe, H. et al.(2022) Parents’ perspectives on the use of children’s facial images for research and diagnosis: a survey. J Community Genet 13, 641–654  https://doi.org/10.1007/s12687-022-00612-0

 

Guo, L., Park, J., Yi, E. et al. (2022) KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients. Eur J Hum Genet (2022). https://doi.org/10.1038/s41431-022-01171-1

 

Park S, Kim J, Song T-Y and Jang D-H (2022) Case Report: The success of face analysis technology in extremely rare genetic diseases in Korea: Tatton–Brown–Rahman syndrome and Say–Barber –Biesecker–Young–Simpson variant of ohdo syndrome. Front. Genet. 13:903199. doi: 10.3389/fgene.2022.903199

 

Pascolini G, Calvani M, Grannatico P (2022) First Italian experience using the automated craniofacial gestalt analysis on a cohort of pediatric patients with multiple anomaly syndromesItal J Pediatr. 2022 Jun 13;48(1):91. doi: 10.1186/s13052-022-01283-w. PMID: 35698205; PMCID: PMC9195312

 

Qiang J, Wu D, Du H, Zhu H, Chen S, Pan H. (2022) Review on Facial-Recognition-Based Applications in Disease Diagnosis. Bioengineering. 2022; 9(7):273. doi.org/10.3390/bioengineering9070273

 

Mensah MA., Ott C., Horn D., Pantel JT. (2022) A machine learning-based screening tool for genetic syndromes in children. The Lancet Digital Health, volume 4, issue 5, E295, May 01, 2022. doi.org/10.1016/S2589-7500(22)00050-4

 

Merico P., Huang-Doran I., Al-Naqeb D., et al. (2022) Biallelic POC1A variants cause syndromic severe insulin resistance with muscle cramps. European Society of Endocrinology, Volume 186, Issue 5.doi.org/10.1530/EJE-21-0609

 

Elmas M., Gogus B. (2022). The road from mutation to next generation phenotyping: contribution of deep learning technology (Face2Gene) to diagnosis neurofibromatosis type 1. The European Research Journal, Volume 8, Issue 2, 145 – 154. doi.org/10.18621/eurj.894631

 

Riedhammer K. M., Burgemeister AL., Cantagrel V., et al. (2022) Suleiman-El-Hattab syndrome: a histone modification disorder caused by TASP1 deficiency. Hum Mol Genet. 2022 May 5. doi.org/10.1093/hmg/ddac098

 

Asif M., Kaygusuz E., Shinawi M., et al. (2022) De novo variants of CSNK2B cause a new intellectual disability-craniodigital syndrome by disrupting the canonical Wnt signaling pathway. HGG Advances, Volume 3, Issue 3. doi.org/10.1016/j.xhgg.2022.100111

 

Li X., Yao R., Chang G., et al. (2022) Clinical Profiles and Genetic Spectra of 814 Chinese Children With Short Stature. The Journal of Clinical Endocrinology & Metabolism, Volume 107, Issue 4, April 2022, Pages 972–985, doi.org/10.1210/clinem/dgab863

 

Micale L., Morlino S., Carbone A., et al. (2022) Loss-of-function variants in exon 4 of TAB2 cause a recognizable multisystem disorder with cardiovascular, facial, cutaneous, and musculoskeletal involvement. Genet Med. 2022 Feb; 24(2):439-453. doi.org/10.1016/j.gim.2021.10.009

 

Nagy D., Verheyen S., Wigby KM., et al. (2022) Genotype-Phenotype Comparison in POGZ-Related Neurodevelopmental Disorders by Using Clinical Scoring. Genes, volume 13, issue 1, page 154. doi.org/10.3390/genes13010154

 

 

 

Daykin E., Fleischer N., Abdelwahab M, Hassib N., Schiffmann R., Ryan E., Sidransky E. (2021). Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3 , Molecular Genetics and Metabolism, ISSN 1096-7192, doi.org/10.1016/j.ymgme.2021.09.008

 

Priol A-C, Denis L, Boulanger G, Thépaut M, Geoffray M-M, Tordjman S. (2021) Detection of Morphological Abnormalities in Schizophrenia: An Important Step to Identify Associated Genetic Disorders or Etiologic Subtype s. International Journal of Molecular Sciences. 2021; 22(17):9464. /doi.org/10.3390/ijms22179464

 

Latorre-Pellicer, A., Ascaso, Á., et al. (2021) Things are not always what they seem: From Cornelia de Lange to KBG phenotype in a girl with genetic variants in NIPBL and ANKRD11 . Molecular Genetics & Genomic Medicine, 00, e1826. doi.org/10.1002/mgg3.1826

 

Liehr, T., Fleischer, N., Al-Rikabi, A. (2021). Next-generation phenotyping in cat-eye syndrome based on computer-aided facial dysmorphology analysis of normal photographs. Molecular Genetics & Genomic Medicine. doi.org/10.1002/mgg3.1785

 

Mak, B. C., Sanchez Russo, R., Mulle, J. G. et al. (2021). Craniofacial features of 3q29 deletion syndrome: Application of next‐generation phenotyping technology . American Journal of Medical Genetics Part A Part A, 1– 8. doi.org/10.1002/ajmg.a.62227

 

Javitt, M.J., Vanner, E.A., Grajewski, A.L. et al. (2021) Evaluation of a computer-based facial dysmorphology analysis algorithm (Face2Gene) using standardized textbook photos. Eye.  doi.org/10.1038/s41433-021-01563-5

 

 

Stamberger, H., Hammer, T.B., Gardella, E. et al. (2020) NEXMIF encephalopathy: an X-linked disorder with male and female phenotypic patterns. Genet Med (2020). https://doi.org/10.1038/s41436-020-00988-9

 

 

Tekendo‐Ngongang, C, Kruszka, P. (2020) Noonan syndrome on the African Continent. Birth Defects Research. 2020; 112: 718– 724. https://doi.org/10.1002/bdr2.1675

 

Gonzalez Garcia et al. (2020) A novel mosaic variant on SMC1A reported in buccal mucosa cells, albeit not in blood, of a patient with Cornelia de Lange–like presentation.  Cold Spring Harb Mol Case Stud 6: a005322

Tripon F.; Bogliș, A.; Micheu, C.; Streață, I.; Bănescu, C. (2020) Pitt-Hopkins Syndrome: Clinical and Molecular Findings of a 5-Year-Old Patient. Genes 2020, 11, 596.

Agbolade, O.; Nazri, A.; Yaakob, R.; Ghani, A.A.; Cheah, Y.K. (2020) Down Syndrome Face Recognition: A Review. Symmetry 2020, 12, 1182.

 

Pode-Shakked B., Finezilber Y, Levi Y., Putter S., Fleischer N., Greenbaum L., Raas-Rothschild A.(2020) Shared facial phenotype of patients with Mucolipidosis type IV: a clinical observation reaffirmed by next generation phenotyping. Eu Journal of Medical Genettics:EJMG_2020_5_R1

 

Rethanavelu, K, Fung, JLF, Chau, JFT, et al. (2020) Phenotypic and mutational spectrum of 21 Chinese patients with Alström syndrome. Am J Med Genet Part A. 2020; 182A: 279– 288. https://doi.org/10.1002/ajmg.a.61412

 

Pascolini, G, Agolini, E, Fleischer, N, et al.(2020) A novel patient with White–Sutton syndrome refines the mutational and clinical repertoire of the POGZ‐related phenotype and suggests further observations . Am J Med Genet Part A. 2020; 1– 5. https://doi.org/10.1002/ajmg.a.61605

 

Cappuccio, G., Sayou, C., Tanno, P.L. et al.(2020) De novo SMARCA2 variants clustered outside the helicase domain cause a new recognizable syndrome with intellectual disability and blepharophimosis distinct from Nicolaides–Baraitser syndrome . Genet Med (2020). https://doi.org/10.1038/s41436-020-0898-y

 

Kumps, C.; Campos-Xavier, B.; Hilhorst-Hofstee, Y.; Marcelis, C.; Kraenzlin, M.; Fleischer, N.; Unger, S.; Superti-Furga, A.(2020) T he Connective Tissue Disorder Associated with Recessive Variants in the SLC39A13 Zinc Transporter Gene (Spondylo-Dysplastic Ehlers–Danlos Syndrome Type 3): Insights from Four Novel Patients and Follow-Up on Two Original Cases . Genes 2020, 11, 420.

 

Jezela-Stanek, A.; Ciara, E.; Stepien, K.M. (2020) Neuropathophysiology, Genetic Profile, and Clinical Manifestation of Mucolipidosis IV—A Review and Case Series. Int. J. Mol. Sci. 2020, 21, 4564.

 

Pascolini G. (2020) DeepGestalt analysis of the SETD5-associated intellectual disability syndrome. J Transl Genet Genom 2020;4:17-21. http://dx.doi.org/10.20517/jtgg.2020.05

 

Myers L, Anderlid B-M, Nordgren A,et al.(2020) Clinical versus automated assessments of morphological variants in twins with and without neurodevelopmental disorders. Am J Med Genet Part A. 2020;1–13. https://doi.org/10.1002/ajmg.a.61545

 

Arora V, Puri RD, Bijarnia-Mahay S, Verma IC.(2020) Expanding the phenotypic and genotypic spectrum of Wiedemann–Steiner syndrome: First patient from India. Am J Med Genet Part A. 2020;1–4. https://doi.org/10.1002/ajmg.a.61534

 

Basel, D (2020) Dysmorphology in a Genomic Era. Clinics in Perinatology, Volume 47, Issue 1, 15-23

 

Gurovich Y (2020) The Path to and Impact of Disease Recognition with AI in IEEE Pulse, vol. 11, no. 1, pp. 13-16, Jan.-Feb. 2020. doi: 10.1109/MPULS.2020.2972722

Latorre-Pellicer, A., et al. (2020) Evaluating Face2Gene as a Tool to Identify Cornelia de Lange Syndrome by Facial Phenotypes. Int. J. Mol. Sci. 2020, 21, 1042

 

Cuvertino, S., Hartill, V., Colyer, A. et al. (2020) A restricted spectrum of missense KMT2D variants cause a multiple malformations disorder distinct from Kabuki syndrome. Genet Med (2020). https://doi.org/10.1038/s41436-019-0743-3

 

Elmas M, Gogus B (2020) Success of Face Analysis Technology in Rare Genetic Diseases Diagnosed by Whole-Exome Sequencing: A Single-Center Experience. Mol Syndromol 2020. doi: 10.1159/000505800

 

Bijarnia-Mahay S, Arora V. (2020) Next Generation Clinical Practice – It’s Man Versus Artificial Intelligence!. Indian Pediatr. 2019;56(12):1007–1008.

 

Narayanan, Dhanya & Ranganath, Prajnya & Aggarwal, Shagun & Dalal, Ashwin & Phadke, Shubha & Mandal, Kaushik. (2020). Computer-aided Facial Analysis in Diagnosing Dysmorphic Syndromes in Indian Children . Indian Pediatrics. 56. 1017-1019. 10.1007/s13312-019-1682-4.

 

Christopher C Y Mak, Dan Doherty, et al. (2020) MN1 C-terminal truncation syndrome is a novel neurodevelopmental and craniofacial disorder with partial rhombencephalosynapsis , Brain, Vol 143,Issue1, Jan 2020, Pages 55–68, https://doi.org/10.1093/brain/awz379

 

Kruszka, P, Addissie, YA, Tekendo‐Ngongang, C, et al.(2019) Turner syndrome in diverse populations. Am J Med Genet Part A. 2019; 1– 11. https://doi.org/10.1002/ajmg.a.61461

 

Soo Kyoung Kim, So Yoon Jung, Seong Phil Bae1, Jieun Kim, Jeongho Lee, Dong Hwan Lee (2019) A case of Noonan syndrome diagnosed using the facial recognition software (Face2Gene)
Journal of Genetic Medicine 2019;16:81-84 https://doi.org/10.5734/JGM.2019.16.2.81

Zarate YA, Bosanko KA, Gripp KW (2019) Using facial analysis technology in a typical genetic clinic:
experience from 30 individuals from a single institution Journal of Human Genetics 1435-232X doi.org/10.1038/s10038-019-0673-6

Pascolini G, ValiantevM, Bottillo I, Laino I, Fleischer N, Ferrari A, Grammatico P (2019) Striking phenotypic overlap between Nicolaides-Baraitser and Coffin-Siris syndromes in monozygotic twins with ARID1B intragenic deletion . Eur J Med Genet. 2019 Aug 14:103739. doi: 10.1016/j.ejmg.2019.103739.

 

Weiss k, Lazar HP […] Lachlan K (2019) The CHD4-related syndrome: a comprehensive investigation of the clinical spectrum, genotype–phenotype correlations, and molecular basis. Genetics in Medicine 1530-0366 https://doi.org/10.1038/s41436-019-0612-0

 

Kruszka P, Hu T, Hong S, […] Muenke M et al. (2019) Phenotype delineation of ZNF462 related syndrome.
Am J Med Genet Part A. 2019; 1– 8. https://doi.org/10.1002/ajmg.a.61306

 

Fung JLF, Rethanavelu K, Luk HM, Ho MSP, Lo IFM, Chung BHY (2019) Coffin-Lowry syndrome in Chinese.
Am J Med Genet A. 2019 Aug 9. doi: 10.1002/ajmg.a.61323. [Epub ahead of print]

 

Danyel M, Cheng Z, Jung C, Boschann F, […] Mensah M (2019) Differentiation of MISSLA and Fanconi anaemia by computer-aided image analysis and presentation of two novel MISSLA siblings . European Journal of Human Genetics https://doi.org/10.1038/s41431-019-0469-3

Knaus A, Kortüm F, Kleefstra T, Stray-Pedersen A, Dukić D, Murakami Y, Gerstner T, van Bokhoven H, Iqbal Z, Horn D, Kinoshita T, Hempel M, Krawitz PM.(2019) Mutations in PIGU Impair the Function of the GPI Transamidase Complex, Causing Severe Intellectual Disability, Epilepsy, and Brain Anomalies . Am J Hum Genet. 2019 Jul 18. pii: S0002-9297(19)30234-4. doi: 10.1016/j.ajhg.2019.06.009.

 

Hsieh TC, Mensah MA, […] Krawitz PM (2019) PEDIA: prioritization of exome data by image analysis. Genetics in Medicine https://doi.org/10.1038/s41436-019-0566-2

 

Pascolini G, Fleischer N, Ferraris A, Majore S, Grammatico P. (2019) The facial dysmorphology analysis technology in intellectual disability syndromes related to defects in the histones modifiers. Journal of Human Genetics, SN-1435-32X https://doi.org/10.1038/s10038-019-0598-0

Mishima H,  Suzuki H, Doi M, Miyazaki M, Watanabe S, Matsumoto T, Morifuji K,  Moriuchi H,  Yoshiura K, Kondoh T, Kosaki K. (2019) Evaluation of Face2Gene using facial images of patients with congenital dysmorphic syndromes recruited in Japan. Journal of Human Genetics 1435-232X https://doi.org/10.1038/s10038-019-0619-z

Bayat A, Knaus A,Wollenberg A, et al. (2019) PIGT-CDG, a disorder of the glycosylphosphatidylinositol anchor: description of 13 novel patients and expansion of the clinical characteristics. Genetics in Medicine SN – 1530-0366, https://doi.org/10.1038/s41436-019-0512-3

Carli D, Giorgio E, Pantaleoni F, Bruselles A, Barresi S, Riberi E, Licciardi F, Gazzin A, Baldassarre G, Pizzi S, Niceta M, Radio FC, Molinatto C, Montin D, Calvo PL, Ciolfi A, Fleischer N, Ferrero GB, Brusco A, Tartaglia M. (2019) NBAS pathogenic variants: Defining the associated clinical and facial phenotype and genotype–phenotype correlations. Human Mutation. 2019; 1– 8. https://doi.org/10.1002/humu.23734

 

Marbach F, Rustad C, Riess A,Netzer C. (2019) The Discovery of a LEMD2-Associated Nuclear Envelopathy with Early Progeroid Appearance Suggests Advanced Applications for AI-Driven Facial Phenotyping, Am J Hum Gene https://doi .org/10.1016/j.ajhg.2019.02.021

 

**Gurovich Y, Hanani Y, Bar O, Nadav G, Fleischer N, Gelbman D, Basel-Salmon L, Krawitz  PM, Kamphausen SB, Zenker M, Bird LM, Gripp KW. (2019) Identifying facial phenotypes of genetic disorders using deep learning. Nature Medicine 25, pages 60–64 DOI:10.1038/s41591-018-0279-0

 

Martinez-Monseny A,Cuadras D, Bolasell M, et al. (2018) From gestalt to gene: early predictive dysmorphic features of PMM2-CDG J Med Genet  doi:10.1136/jmedgenet-2018-105588

 

Shia W, Chena Y, Chena S, Lia S, Changa C, Zhanga L, Feia H, Huanga H, Zhanga J, Xua C,(2018) Integrated facial analysis and targeted sequencing identifies a novel KDM6A pathogenic variant resulting in Kabuki syndrome . Journal of Bio-X Research 1:140–146 http://dx.doi.org/10.1097/JBR.0000000000000022

 

Amudhavalli SM, Hanson R, Angle B, Bontempo K, Gripp KW. (2018) Further delineation of Aymé‐Gripp syndrome and use of automated facial analysis tool. Am J Med Genet Part A.2018;176A:1648 1656 doi.org/10.1002/ajmg.a.38832

 

Vorravanpreecha N, Lertboonnum T, Rodjanadit R, Sriplienchan P, Rojnueangnit K, (2018) Studying Down syndrome recognition probabilities in Thai children with de‐identified computer‐aided facial analysis American Journal of Medical Genetics Am J Med Genet Part A. 2018;1–6. https://doi.org/10.1002/ajmg.a.40483

Jiang Y, Wangler MF, McGuire Al, Lupski JR, Posey JE, Khayat MM, Murdock DR, Sanchez‐Pulido L, Ponting CP, Xia F, Hunter JV, Meng Q, Murugan M, Gibbs RA (2018) The phenotypic spectrum of Xia‐Gibbs syndrome Am J Med Genet, V176, I 6, P1315-1326 doi: 10.1002/ajmg.a.38699

 

 

Pantel JT., Zhao M., Mensah MA., Hajjir N., Hsieh TH., Hanani Y., Fleischer N., Kamphans T., Mundlos S., Gurovich Y, Krawitz PM. Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism J Inherit Metab Dis (2018). ttps://doi.org/10.1007/s10545-018-0174-3

 

 

Hurst, Anna C.E. (2018). Facial recognition software in clinical dysmorphology.Current Opinion in Pediatrics, (),1–. doi:10.1097/mop.0000000000000677

 

Zarate YA,Smith-Hicks CL, Greene C, Abbott MA, et al. (2018) Natural history and genotype-phenotype correlations in 72 individuals with SATB2-associated syndrome . Am J Med Genet Part A. 2018;1–11. DOI: 10.1002/ajmg.a.38630

 

Knaus A, Pantel JT, Pendziwiat M., Hajjir,  et al.(2018) Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis. Genome Med. 2018; 10: 3. DOI:  10.1186/s13073-017-0510-5.

 

Valentine M., Bihm D.C.J., Wolf L, Hoyme H.E., May P.A., Buckley D., Kalberg W., Abdul-Rahman O. (2017) Computer-Aided Recognition of Facial Attributes for Fetal Alcohol Spectrum Disorders . Pediatrics, e20162028; doi: 10.1542/peds.2016-2028.

 

Liehr T, Acquarola N, Pyle K, St-Pierre S, Rinholm M, Bar O, Wilhelm K, Schreyer I. (2017) Next generation phenotyping in Emanuel and Pallister Killian Syndrome using computer-aided facial dysmorphology analysis of 2D photos. Clin Genet. 2017 Jun 29. doi: 10.1111/cge.13087.

 

Hadj-Rabia S, Schneider H, Navarro E, Klein O, Kirby N, Huttner K, Wolf L, Orin M, Wohlfart S2, Bodemer C, Grange DK. (2017) Automatic recognition of the XLHED phenotype from facial images. Am J Med Genet A. 2017 ,173(9):2408-2414. doi: 10.1002/ajmg.a.38343. Epub 2017 Jul 10.

 

Chiu Annie T.G.,  Zhu  Lixing, Gary T.K. Moka, Leung G K.C. , Chowa, C.B. Chung Brian H.Y.  (2016) Before and after – Nutritional transformation of dysmorphism in a case of Costello, Eur J Med Genet. 2016 Nov;59(11):573-576.

 

Gardner OK, Haynes K, Schweitzer D, Johns A, Magee WP, Urata MM, Sanchez-Lara PA. (2016) Familial Recurrence of 3MC Syndrome in Consanguineous Families: A Clinical and Molecular Diagnostic Approach With Review of the Literature.  Cleft Palate Craniofac J. 2016 Jun 29. DOI: 10.1597/15-151.

 

Gripp KW, Baker L, Telegrafi A, Monaghan KG.(2016) 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. Am J Med Genet A. 2016 Apr 26.

 

Kayembe KT., Kasole LT, Mbuyi-Musanzayi S, Kabamba NL, Katshiez Nawej C, Musa Obadia P, Banza Lubaba Nkulu C, Nemery B, Devriendt K.. (2016), Microtia in Cornelia de Lange syndrome: a case from Democratic Republic of the Congo. Clinical Dysmorpholgy 2016 Oct;25(4):178-8.

 

Lumaka A, Cosemans N, Lulebo Mampasi A, Mubungu G, Mvuama N, Lubala T, Mbuyi-Musanzayi S, Breckpot J, Holvoet M, De Ravel T, Van Buggenhout G, Peeters H, Donnai D, Mutesa L, Verloes A, Lukusa Tshilobo P, Devriendt K.(2016), Facial dysmorphism is influenced by ethnic background of the patient and of the evaluator Clin Genet . 2016 Dec 7.

 

Lumaka A, Lukoo R, Mubungu G, Lumpala P, Mbayabo G, Mupuala A, Lukusa Tshilobo P, Devriendt K., (2016) Williams-Beuren syndrome: pitfalls for diagnosis in limited resources setting.  Clinical Case Reports 2016 4(3):294-297.

 

Basel-Vanagaite L, Wolf L, Orin M, Larizza L, Gervasini C, Krantz ID, Deardoff MA. (2016) Recognition of the Cornelia de Lange syndrome phenotype with facial dysmorphology novel analysis. Clin Genet. 2016 May;89(5):557-63.