Background: De novo constitutional chromosomal anomalies provide important insights into the genetic loci responsible for congenital neurological disorders. However, most phenotypic descriptions of patients with rare chromosomal abnormalities are published as individual case reports or small group studies, making genotype-phenotype correlations unclear. Moreover, many clinical genetic reports do not include neuroimaging.
Methods: We conducted a retrospective case series study of all children who had genetic testing done at Children's Memorial Hospital in Chicago, Illinois between 1985 and 2006. The case series was selected from a database containing all chromosomal testing results, clinical data, and neuroimaging. Clinical examination results were assigned by board certified geneticists and/or neurologists and neuroimages were reviewed by both a neurologist or neuroradiologist and a blinded neurologist.
Results: Of the 28,108 children in the series, we identified 34 children with novel or apparently novel de novo chromosomal abnormalities. Several of the cases represent potentially new genetic loci for neurological malformations and novel syndromic conditions.
Conclusions: This study demonstrates the utility of large clinical databases in assessing genotype-phenotype correlations and mapping loci for congenital neurological disorders. We describe a case-series strategy to analyze existing databases to reveal new genotype-phenotype correlations.
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http://dx.doi.org/10.1002/bdra.20443 | DOI Listing |
J Neurophysiol
January 2025
Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
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January 2025
School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
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Programa de Pos-graduacao em Ciencias Biologicas (Genetica), Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
A significant proportion of next-generation sequencing (NGS) data ends up not being used since they comprise information out-of-scope of the primary studies. This 'waste' of potential can be harnessed to explore organellar genomes, such as the mitochondrial DNA, and be used for evolutionary, conservation and biodiversity research. We present the complete mitochondrial genomes of the deep-sea methanotrophic sponges and (Demospongiae, Poecilosclerida) retrieved from previously published whole metagenome sequencing data.
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