Neuroimaging findings in children with rare or novel de novo chromosomal anomalies

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 s...

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Veröffentlicht in:Birth defects research. A Clinical and molecular teratology 2008-04, Vol.82 (4), p.200-210
Hauptverfasser: Epstein, Leon G., Jalali, Ali, Chary, Ajit N., Khan, Sophia, Ross, Joshua, Coppinger, Justine, Carlson, Katrin, Charrow, Joel, Burton, Barbara, Zimmerman, Donald, Curran, John, Kim, Francine, Nguyen, Pam, Burrowes, Delilah, Angle, Brad, Stack, Cynthia, Shaffer, Lisa, Kessler, John A., Bassuk, Alexander G.
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Sprache:eng
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Zusammenfassung: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. Birth Defects Research (Part A), 2008. © 2008 Wiley‐Liss, Inc.
ISSN:1542-0752
1542-0760
DOI:10.1002/bdra.20443