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Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida.

Publication ,  Journal Article
Strain, M; Garrett, ME; Bucklan, M; Jasien, JM; Worley, G; Gleeson, JG; Ashley-Koch, AE
Published in: Birth Defects Res
October 2025

BACKGROUND: Spina bifida (SB), a common neural tube defects (NTDs), has a complex genetic architecture that remains incompletely understood. Although prior studies have identified rare, deleterious single nucleotide variants (SNVs) in SB, broader contributions to risk remain unclear. Here, we investigated shared genetic risk among 256 SB probands compared with 395 ancestry-matched controls using an unbiased sequencing approach. METHODS: We performed an exome-wide association study (ExWAS) of 46,887 SNVs with minor allele frequencies (MAF) > 0.001 to identify single-variant associations, followed by gene-based burden tests to assess the cumulative effect of SNVs within genes, using all variants and then restricting to rare variants (MAF < 0.05). Both burden tests were repeated in 510 unaffected parents to evaluate excess mutational burden relative to controls. RESULTS: Across all analyses, 16 genes were associated with SB: SRCIN1, PDE4DIP, XCL2, CTAGE10P, GLB1L3, PMS2P4, HSPA4, GLB1L2, FAM90A1, PLA1A, HLA-A, SPIRE2, TVP23B, CHD5, FOXA2, and PIF1. ExWAS identified 11 significant SNVs, nine of which were common (MAF > 0.05). The unrestricted burden test identified seven genes; four remained significant when restricted to rare variants, and two additional genes emerged only in that subset. Five burden-associated genes were not detected in the ExWAS, suggesting cumulative variant effects. Four burden-associated genes also showed enrichment in parents, supporting inherited risk. Three of these showed suggestive transmission disequilibrium (p values ≤ 0.10) and one was attributed to multiple SNVs. CONCLUSION: These results provide new insight into the multifactorial genetic landscape of SB and highlight the importance of unbiased approaches in constructing genetic models of NTD.

Duke Scholars

Published In

Birth Defects Res

DOI

EISSN

2472-1727

Publication Date

October 2025

Volume

117

Issue

10

Start / End Page

e2533

Location

United States

Related Subject Headings

  • Spinal Dysraphism
  • Polymorphism, Single Nucleotide
  • Male
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Gene Frequency
  • Female
  • Exome
  • Case-Control Studies
 

Citation

APA
Chicago
ICMJE
MLA
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Strain, M., Garrett, M. E., Bucklan, M., Jasien, J. M., Worley, G., Gleeson, J. G., & Ashley-Koch, A. E. (2025). Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida. Birth Defects Res, 117(10), e2533. https://doi.org/10.1002/bdr2.2533
Strain, Madison, Melanie E. Garrett, Max Bucklan, Joan M. Jasien, Gordon Worley, Joseph G. Gleeson, and Allison E. Ashley-Koch. “Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida.Birth Defects Res 117, no. 10 (October 2025): e2533. https://doi.org/10.1002/bdr2.2533.
Strain M, Garrett ME, Bucklan M, Jasien JM, Worley G, Gleeson JG, et al. Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida. Birth Defects Res. 2025 Oct;117(10):e2533.
Strain, Madison, et al. “Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida.Birth Defects Res, vol. 117, no. 10, Oct. 2025, p. e2533. Pubmed, doi:10.1002/bdr2.2533.
Strain M, Garrett ME, Bucklan M, Jasien JM, Worley G, Gleeson JG, Ashley-Koch AE. Sequencing Analysis Demonstrates That a Complex Genetic Architecture Contributes to Risk for Spina Bifida. Birth Defects Res. 2025 Oct;117(10):e2533.

Published In

Birth Defects Res

DOI

EISSN

2472-1727

Publication Date

October 2025

Volume

117

Issue

10

Start / End Page

e2533

Location

United States

Related Subject Headings

  • Spinal Dysraphism
  • Polymorphism, Single Nucleotide
  • Male
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Gene Frequency
  • Female
  • Exome
  • Case-Control Studies