Novel copy-number variants in a population-based investigation of classic heterotaxy
Supporting Files
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5 2015 ; 5-2015
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Available in CDC Stacks on 2018-04-16T00:00:00Z
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English
Details
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Alternative Title:Genet Med
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Personal Author:Rigler, Shannon L. ; Kay, Denise M. ; Sicko, Robert J. ; Fan, Ruzong ; Liu, Aiyi ; Caggana, Michele ; Browne, Marilyn L. ; Druschel, Charlotte M. ; Romitti, Paul A. ; Brody, Lawrence C. ; Mills, James L.
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Description:Purpose ; Heterotaxy is a clinically and genetically heterogeneous disorder. We investigated whether screening cases restricted to a classic phenotype would result in the discovery of novel, potentially causal copy-number variants. ; Methods ; We identified 77 cases of classic heterotaxy from all live births in New York State during 1998–2005. DNA extracted from each infant’s newborn dried blood spot was genotyped with a microarray containing 2.5 million single-nucleotide polymorphisms. Copy-number variants were identified with PennCNV and cnvPartition software. Candidates were selected for follow-up if they were absent in unaffected controls, contained 10 or more consecutive probes, and had minimal overlap with variants published in the Database of Genomic Variants. ; Results ; We identified 20 rare copy-number variants including a deletion of BMP2, which has been linked to laterality disorders in mice but not previously reported in humans. We also identified a large, terminal deletion of 10q and a microdeletion at 1q23.1 involving the MNDA gene; both are rare variants suspected to be associated with heterotaxy. ; Conclusion ; Our findings implicate rare copy-number variants in classic heterotaxy and highlight several candidate gene regions for further investigation. We also demonstrate the efficacy of copy-number variant genotyping in blood spots using microarrays.
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Source:Genet Med. 17(5):348-357
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Pubmed ID:25232849
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Pubmed Central ID:PMC5901701
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Document Type:
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Funding:
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Volume:17
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Issue:5
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Main Document Checksum:urn:sha256:d95c6486ea49c96b61cd7e7bec233fb42dc95406d3cfa483b241af602146fa6a
Supporting Files
File Language:
English
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