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Genomic differences exist between spontaneous and indicated extreme preterm births (PTB). Larger studies are needed to confirm these findings in extremely preterm infants, as current sample sizes are limited.

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Area of Science:

  • Genomics
  • Neonatal Medicine
  • Perinatal Research

Background:

  • Extremely preterm infants face high risks of mortality and morbidity.
  • Extreme preterm birth (PTB) can be spontaneous or indicated due to maternal conditions.
  • Understanding genetic factors in extreme PTB is crucial for improving outcomes.

Purpose of the Study:

  • To identify single nucleotide polymorphisms (SNPs) and biological pathways associated with spontaneous versus indicated extreme PTB.
  • Utilizing neonatal genome data for genetic association studies.
  • Investigating the genetic underpinnings of different extreme PTB etiologies.

Main Methods:

  • Genome-wide association study (GWAS) and pathway analysis on a cohort of 523 spontaneous and 134 indicated extreme PTBs (401-1000g birth weight).
  • Utilized the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network's Genomics dataset.
  • Attempted replication of findings using the TOLSURF cohort.

Main Results:

  • No statistically significant SNPs were identified in the primary analysis.
  • One suggestive association (rs60854043) and 15 other modest associations were noted at a specific locus.
  • Pathway analysis identified "GO_mf:go_low_density_lipoprotein_particle_receptor_activity" as significant, but these results were not replicated.
  • The TOLSURF cohort failed to replicate the findings from the Neonatal Research Network (NRN) dataset.

Conclusions:

  • Genomic differences are suggested between infants born via spontaneous versus indicated extreme PTB.
  • The study highlights the need for larger sample sizes to detect significant genetic associations in extreme PTB.
  • Spontaneous extreme PTB appears more common than indicated extreme PTB.