1. De novo and rare inherited copy-number variations in the hemiplegic form of cerebral palsy.
- Author
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Zarrei M, Fehlings DL, Mawjee K, Switzer L, Thiruvahindrapuram B, Walker S, Merico D, Casallo G, Uddin M, MacDonald JR, Gazzellone MJ, Higginbotham EJ, Campbell C, deVeber G, Frid P, Gorter JW, Hunt C, Kawamura A, Kim M, McCormick A, Mesterman R, Samdup D, Marshall CR, Stavropoulos DJ, Wintle RF, and Scherer SW
- Subjects
- Adolescent, Child, Child, Preschool, Chromosome Aberrations, Cross-Sectional Studies, Female, Genetic Association Studies, Genotype, Humans, Male, Neuroimaging methods, Pedigree, Retrospective Studies, Risk Factors, Exome Sequencing, Cerebral Palsy diagnosis, Cerebral Palsy genetics, DNA Copy Number Variations, Genetic Predisposition to Disease, Hemiplegia diagnosis, Hemiplegia genetics, Phenotype
- Abstract
PurposeHemiplegia is a subtype of cerebral palsy (CP) in which one side of the body is affected. Our earlier study of unselected children with CP demonstrated de novo and clinically relevant rare inherited genomic copy-number variations (CNVs) in 9.6% of participants. Here, we examined the prevalence and types of CNVs specifically in hemiplegic CP.MethodsWe genotyped 97 unrelated probands with hemiplegic CP and their parents. We compared their CNVs to those of 10,851 population controls, in order to identify rare CNVs (<0.1% frequency) that might be relevant to CP. We also sequenced exomes of "CNV-positive" trios.ResultsWe detected de novo CNVs and/or sex chromosome abnormalities in 7/97 (7.2%) of probands, impacting important developmental genes such as GRIK2, LAMA1, DMD, PTPRM, and DIP2C. In 18/97 individuals (18.6%), rare inherited CNVs were found, affecting loci associated with known genomic disorders (17p12, 22q11.21) or involving genes linked to neurodevelopmental disorders.ConclusionWe found an increased rate of de novo CNVs in the hemiplegic CP subtype (7.2%) compared to controls (1%). This result is similar to that for an unselected CP group. Combined with rare inherited CNVs, the genomic data impacts the understanding of the potential etiology of hemiplegic CP in 23/97 (23.7%) of participants.
- Published
- 2018
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