Identification of novel candidate risk genes for myelomeningocele within the glucose homeostasis/oxidative stress and folate/one-carbon metabolism networks.

Journal Article (Journal Article)

BACKGROUND: Neural tube defects (NTDs) are the second most common complex birth defect, yet, our understanding of the genetic contribution to their development remains incomplete. Two environmental factors associated with NTDs are Folate and One Carbon Metabolism (FOCM) and Glucose Homeostasis and Oxidative Stress (GHOS). Utilizing next-generation sequencing of a large patient cohort, we identify novel candidate genes in these two networks to provide insights into NTD mechanisms. METHODS: Exome sequencing (ES) was performed in 511 patients, born with myelomeningocele, divided between European American and Mexican American ethnicities. Healthy control data from the Genome Aggregation database were ethnically matched and used as controls. Rare, high fidelity, nonsynonymous predicted damaging missense, nonsense, or canonical splice site variants in independently generated candidate gene lists for FOCM and GHOS were identified. We used a gene-based collapsing approach to quantify mutational burden in case and controls, with the control cohort estimated using cumulative allele frequencies assuming Hardy-Weinberg equilibrium. RESULTS: We identified 45 of 837 genes in the FOCM network and 22 of 568 genes in the GHOS network as possible NTD risk genes with p < 0.05. No nominally significant risk genes were shared between ethnicities. Using a novel approach to mutational burden we identify 55 novel NTD risk associations. CONCLUSIONS: We provide a means of utilizing large publicly available sequencing datasets as controls for sequencing projects examining rare disease. This approach confirmed existing risk genes for myelomeningocele and identified possible novel risk genes. Lastly, it suggests possible distinct genetic etiologies for this malformation between different ethnicities.

Full Text

Duke Authors

Cited Authors

  • Hillman, P; Baker, C; Hebert, L; Brown, M; Hixson, J; Ashley-Koch, A; Morrison, AC; Northrup, H; Au, KS

Published Date

  • November 2020

Published In

Volume / Issue

  • 8 / 11

Start / End Page

  • e1495 -

PubMed ID

  • 32960507

Pubmed Central ID

  • PMC7667334

Electronic International Standard Serial Number (EISSN)

  • 2324-9269

Digital Object Identifier (DOI)

  • 10.1002/mgg3.1495

Language

  • eng

Conference Location

  • United States