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      A novel unbalanced translocation between chromosomes 5p and 18q leading to dysmorphology and global developmental delay

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          Abstract

          Background

          Individuals with various sized terminal duplications of chromosome 5p or terminal deletions of chromosome 18q have been described. These aberrations may cause congenital malformations and intellectual disability of varying severity.

          Methods

          Via an international collaborative effort, we obtained a cytogenetic diagnosis for a 5‐year‐old boy of Afro‐Caribbean ancestry who has global developmental delay, dysmorphology, hypotonia, feeding difficulties, bilateral club feet, and intellectual disability.

          Results

          Conventional G‐banded karyotyping showed additional chromatin of unknown origin on the long arm of chromosome 18. SNP microarray confirmed the loss of ~6.4 Mb from chromosome 18q: arr[hg19] 18q22.3‐q23(71,518,518‐77,943,115)x1. The source of the additional chromatin was determined from the microarray to be ~32 Mb from the short arm of chromosome 5 (arr[hg19] 5p13.3‐p15.33(51,045‐32,062,984)x3). The unbalanced translocation was verified by fluorescent in situ hybridization (FISH). Both parents are healthy and have normal karyotypes suggesting that this abnormality arose de novo in the proband, although gonadal mosaicism in a parent cannot be excluded.

          Conclusion

          The combination of clinical features in this individual is most likely due to the partial deletion of 18q and partial duplication of 5p, which to our knowledge has not been previously described.

          Abstract

          We describe a 5‐year‐old boy who has global developmental delay, dysmorphology, and multiple congenital abnormalities. Karyotype showed additional chromatin on chromosome 18q. Microarray showed an approximate 32 Mb duplication of material from chromosome 5p (partial trisomy), and an approximate 6.2 Mb deletion from chromosome 18q (partial monosomy). FISH confirmed the unbalanced translocation.

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          Most cited references25

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          PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data.

          Comprehensive identification and cataloging of copy number variations (CNVs) is required to provide a complete view of human genetic variation. The resolution of CNV detection in previous experimental designs has been limited to tens or hundreds of kilobases. Here we present PennCNV, a hidden Markov model (HMM) based approach, for kilobase-resolution detection of CNVs from Illumina high-density SNP genotyping data. This algorithm incorporates multiple sources of information, including total signal intensity and allelic intensity ratio at each SNP marker, the distance between neighboring SNPs, the allele frequency of SNPs, and the pedigree information where available. We applied PennCNV to genotyping data generated for 112 HapMap individuals; on average, we detected approximately 27 CNVs for each individual with a median size of approximately 12 kb. Excluding common rearrangements in lymphoblastoid cell lines, the fraction of CNVs in offspring not detected in parents (CNV-NDPs) was 3.3%. Our results demonstrate the feasibility of whole-genome fine-mapping of CNVs via high-density SNP genotyping.
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            Translocations, inversions and other chromosome rearrangements

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              Parent of origin, mosaicism, and recurrence risk: probabilistic modeling explains the broken symmetry of transmission genetics.

              Most new mutations are observed to arise in fathers, and increasing paternal age positively correlates with the risk of new variants. Interestingly, new mutations in X-linked recessive disease show elevated familial recurrence rates. In male offspring, these mutations must be inherited from mothers. We previously developed a simulation model to consider parental mosaicism as a source of transmitted mutations. In this paper, we extend and formalize the model to provide analytical results and flexible formulas. The results implicate parent of origin and parental mosaicism as central variables in recurrence risk. Consistent with empirical data, our model predicts that more transmitted mutations arise in fathers and that this tendency increases as fathers age. Notably, the lack of expansion later in the male germline determines relatively lower variance in the proportion of mutants, which decreases with paternal age. Subsequently, observation of a transmitted mutation has less impact on the expected risk for future offspring. Conversely, for the female germline, which arrests after clonal expansion in early development, variance in the mutant proportion is higher, and observation of a transmitted mutation dramatically increases the expected risk of recurrence in another pregnancy. Parental somatic mosaicism considerably elevates risk for both parents. These findings have important implications for genetic counseling and for understanding patterns of recurrence in transmission genetics. We provide a convenient online tool and source code implementing our analytical results. These tools permit varying the underlying parameters that influence recurrence risk and could be useful for analyzing risk in diverse family structures.
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                Author and article information

                Contributors
                jsmith@baylorgenetics.com
                andrew.sobering@uga.edu
                Journal
                Mol Genet Genomic Med
                Mol Genet Genomic Med
                10.1002/(ISSN)2324-9269
                MGG3
                Molecular Genetics & Genomic Medicine
                John Wiley and Sons Inc. (Hoboken )
                2324-9269
                21 February 2022
                April 2022
                : 10
                : 4 ( doiID: 10.1002/mgg3.v10.4 )
                : e1900
                Affiliations
                [ 1 ] Department of Biochemistry St. George's University School of Medicine True Blue Grenada
                [ 2 ] Center for Applied Genomics The Children's Hospital of Philadelphia Philadelphia Pennsylvania USA
                [ 3 ] Department of Molecular and Human Genetics Baylor College of Medicine Houston Texas USA
                [ 4 ] Clinical Teaching Unit St. George's University School of Medicine True Blue Grenada
                [ 5 ] St. George's University Clinic St. George's Grenada
                [ 6 ] Department of Anatomical Sciences St. George's University True Blue Grenada
                [ 7 ] AU/UGA Medical Partnership Athens Georgia USA
                [ 8 ] Windward Islands Research and Education Foundation St. George's Grenada
                Author notes
                [*] [* ] Correspondence

                Andrew K. Sobering, AU/UGA Medical Partnership, Athens, GA, USA.

                Email: andrew.sobering@ 123456uga.edu

                Janice L. Smith, Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA

                Email: jsmith@ 123456baylorgenetics.com

                Author information
                https://orcid.org/0000-0001-5384-7318
                https://orcid.org/0000-0002-2265-6727
                https://orcid.org/0000-0002-1400-8519
                https://orcid.org/0000-0001-5748-3507
                https://orcid.org/0000-0003-2814-7461
                https://orcid.org/0000-0002-9251-2614
                Article
                MGG31900 MGG3-2021-07-1128.R1
                10.1002/mgg3.1900
                9000934
                35189041
                ad76897e-3319-41d2-a653-949c935f08cf
                © 2022 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 23 September 2021
                : 27 July 2021
                : 02 February 2022
                Page count
                Figures: 4, Tables: 1, Pages: 8, Words: 4172
                Funding
                Funded by: St. George’s University Small Research Grant Initiative
                Award ID: 18017
                Categories
                Clinical Report
                Clinical Reports
                Custom metadata
                2.0
                April 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.3 mode:remove_FC converted:11.04.2022

                developing economy,dysmorphology,global developmental delay,low‐income nation,middle‐income nation,resource‐limited community,unbalanced translocation

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