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Genome-wide investigation identifies a rare copy-number variant burden associated with human spina bifida

PURPOSE: Next-generation sequencing has implicated some risk variants for human spina bifida (SB), but the genome-wide contribution of structural variation to this complex genetic disorder remains largely unknown. We examined copy-number variant (CNV) participation in the genetic architecture underl...

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Detalles Bibliográficos
Autores principales: Wolujewicz, Paul, Aguiar-Pulido, Vanessa, AbdelAleem, Alice, Nair, Vidya, Thareja, Gaurav, Suhre, Karsten, Shaw, Gary M., Finnell, Richard H., Elemento, Olivier, Ross, M. Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257499/
https://www.ncbi.nlm.nih.gov/pubmed/33686259
http://dx.doi.org/10.1038/s41436-021-01126-9
Descripción
Sumario:PURPOSE: Next-generation sequencing has implicated some risk variants for human spina bifida (SB), but the genome-wide contribution of structural variation to this complex genetic disorder remains largely unknown. We examined copy-number variant (CNV) participation in the genetic architecture underlying SB risk. METHODS: A high-confidence ensemble approach to genome sequences (GS) was benchmarked and employed for systematic detection of common and rare CNVs in two separate ancestry-matched SB case–control cohorts. RESULTS: SB cases were enriched with exon disruptive rare CNVs, 44% of which were under 10 kb, in both ancestral populations (P = 6.75 × 10(−7); P = 7.59 × 10(−4)). Genes containing these disruptive CNVs fall into molecular pathways, supporting a role for these genes in SB. Our results expand the catalog of variants and genes with potential contribution to genetic and gene–environment interactions that interfere with neurulation, useful for further functional characterization. CONCLUSION: This study underscores the need for genome-wide investigation and extends our previous threshold model of exonic, single-nucleotide variation toward human SB risk to include structural variation. Since GS data afford detection of CNVs with greater resolution than microarray methods, our results have important implications toward a more comprehensive understanding of the genetic risk and mechanisms underlying neural tube defect pathogenesis.