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Boddupally K, Rani Thuraka E. Artificial intelligence for prenatal chromosome analysis. Clin Chim Acta 2024; 552:117669. [PMID: 38007058 DOI: 10.1016/j.cca.2023.117669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/27/2023]
Abstract
This review article delves into the rapidly advancing domain of prenatal diagnostics, with a primary focus on the detection and management of chromosomal abnormalities such as trisomy 13 ("Patau syndrome)", "trisomy 18 (Edwards syndrome)", and "trisomy 21 (Down syndrome)". The objective of the study is to examine the utilization and effectiveness of novel computational methodologies, such as "machine learning (ML)", "deep learning (DL)", and data analysis, in enhancing the detection rates and accuracy of these prenatal conditions. The contribution of the article lies in its comprehensive examination of advancements in "Non-Invasive Prenatal Testing (NIPT)", prenatal screening, genomics, and medical imaging. It highlights the potential of these techniques for prenatal diagnosis and the contributions of ML and DL to these advancements. It highlights the application of ensemble models and transfer learning to improving model performance, especially with limited datasets. This also delves into optimal feature selection and fusion of high-dimensional features, underscoring the need for future research in these areas. The review finds that ML and DL have substantially improved the detection and management of prenatal conditions, despite limitations such as small sample sizes and issues related to model generalizability. It recognizes the promising results achieved through the use of ensemble models and transfer learning in prenatal diagnostics. The review also notes the increased importance of feature selection and high-dimensional feature fusion in the development and training of predictive models. The findings underline the crucial role of AI and machine learning techniques in early detection and improved therapeutic strategies in prenatal diagnostics, highlighting a pressing need for further research in this area.
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Affiliation(s)
- Kavitha Boddupally
- JNTUH University, India; CVR College of Engineering, ECE, Hyderabad, India.
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Iordanescu II, Neacsu AT, Catana A, Barabas-CuzmicI Z, Suciu V, Dragomir C, Voicu DE, Severin E, Militaru MS. Challenging diagnoses of tetraploidy/diploidy and trisomy 12: utility of first-tier prenatal testing methods. Front Genet 2023; 14:1258752. [PMID: 38034493 PMCID: PMC10684745 DOI: 10.3389/fgene.2023.1258752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/26/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: Chromosome mosaicism and low-grade mosaicism present a challenge for diagnosis in the era of SNP array and NGS. Tetraploidy is a rare numerical chromosomal abnormality characterized by the presence of four copies of each chromosome. The prevalence of tetraploidy/diploidy mosaicism cases is extremely rare in the human population. Accurate estimates of the frequency of this chromosomal anomaly are lacking due to its classification as an extremely rare and difficult-to-detect condition. Methods: In this report, we describe two cases involving challenging diagnoses of tetraploidy/diploidy and trisomy 12. We utilized advanced genetic testing techniques, including SNP array, to examine the chromosomal abnormalities in these cases. We compared the results from SNP array to conventional G band karyotyping to assess the utility of first-tier prenatal testing methods. Results:Our analysis revealed two cases of tetraploidy/diploidy and trisomy 12 with atypical presentations. SNP array analysis provided higher resolution and more precise information about the chromosomal anomalies in these cases compared to conventional G band karyotyping. Additionally, the prevalence of tetraploidy/diploidy mosaicism was confirmed to be extremely rare in the population. Discussion: Low-level mosaicism is difficult to diagnose, and in many cases, it has traditionally been identified through techniques such as G band karyotype or FISH. Microarray has become an invaluable diagnostic tool for detecting chromosomal abnormalities, offering high-resolution insights. However, it may not always be able to detect rare occurrences of tetraploidy or tetraploidy/diploidy mosaicism. As a result, it is recommended to perform a G band karyotype analysis after obtaining a negative microarray result before considering other diagnostic methods with a potentially higher yield of diagnosis. For the detection of low-level mosaicism, combined diagnostic methods should be considered. The diagnosis of mosaicism is a multistep process that can be time-consuming, often requiring the application of more than one diagnostic technique. This approach is crucial for accurate diagnosis and comprehensive patient care. Further research is warranted to better understand the underlying mechanisms of these rare chromosomal anomalies and to develop more effective diagnostic strategies for challenging cases.
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Affiliation(s)
- Irina Ioana Iordanescu
- Genetics Department “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
- Genetics Department Laboratory, Regina Maria Hospital, Romania
| | | | - Andreea Catana
- Genetics Department Laboratory, Regina Maria Hospital, Romania
- Genetics Departament, University of Medicine and Pharmacy “Iuliu Hatieganu”, Cluj-Napoca, Romania
| | | | | | | | | | - Emilia Severin
- Genetics Department “Carol Davila” University of Medicine and Pharmacy, Bucharest, Romania
| | - Mariela Sanda Militaru
- Genetics Department Laboratory, Regina Maria Hospital, Romania
- Genetics Departament, University of Medicine and Pharmacy “Iuliu Hatieganu”, Cluj-Napoca, Romania
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Brakta S, Hawkins ZA, Sahajpal N, Seman N, Kira D, Chorich LP, Kim HG, Xu H, Phillips JA, Kolhe R, Layman LC. Rare structural variants, aneuploidies, and mosaicism in individuals with Mullerian aplasia detected by optical genome mapping. Hum Genet 2023; 142:483-494. [PMID: 36797380 DOI: 10.1007/s00439-023-02522-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/06/2023] [Indexed: 02/18/2023]
Abstract
The molecular basis of Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome remains largely unknown. Pathogenic variants in WNT4 and HNF1B have been confirmed in a small percent of individuals. A variety of copy number variants have been reported, but causal gene(s) remain to be identified. We hypothesized that rare structural variants (SVs) would be present in some individuals with MRKH, which could explain the genetic basis of the syndrome. Large molecular weight DNA was extracted from lymphoblastoid cells from 87 individuals with MRKH and available parents. Optical genome mapping (OGM) was performed to identify SVs, which were confirmed by another method (quantitative PCR, chromosomal microarray, karyotype, or fluorescent in situ hybridization) when possible. Thirty-four SVs that overlapped coding regions of genes with potential involvement in MRKH were identified, 14 of which were confirmed by a second method. These 14 SVs were present in 17/87 (19.5%) of probands with MRKH and included seven deletions, three duplications, one new translocation in 5/50 cells-t(7;14)(q32;q32), confirmation of a previously identified translocation-t(3;16)(p22.3;p13.3), and two aneuploidies. Of interest, three cases of mosaicism (3.4% of probands) were identified-25% mosaicism for trisomy 12, 45,X(75%)/46,XX (25%), and 10% mosaicism for a 7;14 translocation. Our study constitutes the first systematic investigation of SVs by OGM in individuals with MRKH. We propose that OGM is a promising method that enables a comprehensive investigation of a variety of SVs in a single assay including cryptic translocations and mosaic aneuploidies. These observations suggest that mosaicism could play a role in the genesis of MRKH.
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Affiliation(s)
- Soumia Brakta
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia.
| | - Zoe A Hawkins
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Nikhil Sahajpal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia.,Department of Genetics, Greenwood Genetics Center, Greenwood, SC, USA
| | - Natalie Seman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Dina Kira
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Lynn P Chorich
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Hyung-Goo Kim
- Neurological Disorders Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Hongyan Xu
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - John A Phillips
- Division of Medical Genetics and Genomic Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, Georgia
| | - Lawrence C Layman
- Section of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology, Medical College of Georgia, Augusta University, Augusta, Georgia. .,Department of Neuroscience and Regenerative Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia. .,Department of Physiology, Medical College of Georgia, Augusta University, Augusta, Georgia.
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Martínez-Hernández A, Martínez-Anaya D, Durán-McKinster C, Del Castillo-Ruiz V, Navarrete-Meneses P, Córdova EJ, Villegas-Torres BE, Ruiz-Herrera A, Juárez-Velázquez R, Yokoyama-Rebollar E, Cervantes-Barragán D, Pedraza-Meléndez A, Orozco L, Pérez-Vera P, Salas-Labadía C. Pigmentary mosaicism as a recurrent clinical manifestation in three new patients with mosaic trisomy 12 diagnosed postnatally: cases report and literature review. BMC Med Genomics 2022; 15:224. [PMCID: PMC9620619 DOI: 10.1186/s12920-022-01382-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 10/22/2022] [Indexed: 11/10/2022] Open
Abstract
Background To date, only twenty-one cases diagnosed postnatally with mosaic trisomy 12 have been reported. The most frequent phenotypic manifestations are developmental delay, dysmorphic facial features, congenital heart defects, digital alterations, and pigmentary disorders. In the present report, detailed clinical and genetic profiles of three unrelated new patients with mosaic trisomy 12 are described and compared with previously reported cases. Case presentation In the present report, we include the clinical, cytogenetic, and molecular description of three Mexican patients diagnosed postnatally with mosaic trisomy 12. At phenotypic level, the three patients present with developmental delay, dysmorphic facial features, congenital heart defects and skin pigmentary anomalies. Particularly, patient 1 showed unique eye alterations as bilateral distichiasis, triple rows of upper lashes, and digital abnormalities. In patient 2 redundant skin, severe hearing loss, and hypotonia were observed, and patient 3 presented with hypertelorism and telecanthus. Hyperpigmentation with disseminated pigmentary anomalies is a common trait in all of them. The cytogenetic study was carried out under the strict criteria of analysis, screening 50–100 metaphases from three different tissues, showing trisomy 12 mosaicism in at least one of the three different tissues analyzed. With SNParray, the presence of low-level mosaic copy number variants not previously detected by cytogenetics, and uniparental disomy of chromosome 12, was excluded. STR markers allowed to confirm the absence of uniparental disomy as well as to know the parental origin of supernumerary chromosome 12. Conclusions The detailed clinical, cytogenetic, and molecular description of these three new patients, contributes with relevant information to delineate more accurately a group of patients that show a heterogeneous phenotype, although sharing the same chromosomal alteration. The possibility of detecting mosaic trisomy 12 is directly associated with the sensitivity of the methodology applied to reveal the low-level chromosomal mosaicism, as well as with the possibility to perform the analysis in a suitable tissue.
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Affiliation(s)
- A. Martínez-Hernández
- grid.452651.10000 0004 0627 7633Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica SS, Ciudad de Mexico, México
| | - D. Martínez-Anaya
- grid.419216.90000 0004 1773 4473Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, 04530 México
| | - C. Durán-McKinster
- grid.419216.90000 0004 1773 4473Departamento de Dermatología, Instituto Nacional de Pediatría, Ciudad de Mexico, México
| | - V. Del Castillo-Ruiz
- grid.419216.90000 0004 1773 4473Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, México
| | - P. Navarrete-Meneses
- grid.419216.90000 0004 1773 4473Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, 04530 México
| | - E. J. Córdova
- grid.452651.10000 0004 0627 7633Consorcio de Oncogenómica, Instituto Nacional de Medicina Genómica SS, Ciudad de Mexico, México
| | - B. E. Villegas-Torres
- grid.452651.10000 0004 0627 7633Instituto Nacional de Medicina Genómica SS, Ciudad de Mexico, México
| | - A. Ruiz-Herrera
- grid.414465.6Hospital de Especialidades Pediátrico de León, León, Guanajuato, México
| | - R. Juárez-Velázquez
- grid.419216.90000 0004 1773 4473Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, 04530 México
| | - E. Yokoyama-Rebollar
- grid.419216.90000 0004 1773 4473Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, México
| | - D. Cervantes-Barragán
- grid.502779.e0000 0004 0633 6373Hospital Central Sur de Alta Especialidad, PEMEX, Ciudad de Mexico, México
| | - A. Pedraza-Meléndez
- grid.9486.30000 0001 2159 0001Posgrado en Ciencias Biológicas, Universidad Nacional Autónoma de México, Ciudad de Mexico, México
| | - L. Orozco
- grid.452651.10000 0004 0627 7633Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica SS, Ciudad de Mexico, México
| | - P. Pérez-Vera
- grid.419216.90000 0004 1773 4473Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, 04530 México
| | - C. Salas-Labadía
- grid.419216.90000 0004 1773 4473Laboratorio de Genética y Cáncer, Departamento de Genética Humana, Instituto Nacional de Pediatría, Ciudad de Mexico, 04530 México
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