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Transcriptome and regulatory maps of decidua-derived stromal cells inform gene discovery in preterm birth

  • Noboru J. Sakabe
  • , Ivy Aneas
  • , Nicholas Knoblauch
  • , Debora R. Sobreira
  • , Nicole Clark
  • , Cristina Paz
  • , Cynthia Horth
  • , Ryan Ziffra
  • , Harjot Kaur
  • , Xiao Liu
  • , Rebecca Anderson
  • , Jean Morrison
  • , Virginia C. Cheung
  • , Chad Grotegut
  • , Timothy E. Reddy
  • , Bo Jacobsson
  • , Mikko Hallman
  • , Kari Teramo
  • , Amy Murtha
  • , John Kessler
  • William Grobman, Ge Zhang, Louis J. Muglia, Sarosh Rana, Vincent J. Lynch, Gregory E. Crawford, Carole Ober, Xin He, Marcelo A. Nóbrega
  • The University of Chicago
  • Duke University
  • Northwestern University
  • University of Gothenburg
  • Institute of Public Health
  • University of Oulu
  • Helsinki University Hospital
  • Cincinnati Children's Hospital Medical Center

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

While a genetic component of preterm birth (PTB) has long been recognized and recently mapped by genome-wide association studies (GWASs), the molecular determinants underlying PTB remain elusive. This stems in part from an incomplete availability of functional genomic annotations in human cell types relevant to pregnancy and PTB. We generated transcriptome (RNA-seq), epigenome (ChIP-seq of H3K27ac, H3K4me1, and H3K4me3 histone modifications), open chromatin (ATAC-seq), and chromatin interaction (promoter capture Hi-C) annotations of cultured primary decidua-derived mesenchymal stromal/stem cells and in vitro differentiated decidual stromal cells and developed a computational framework to integrate these functional annotations with results from a GWAS of gestational duration in 56,384 women. Using these resources, we uncovered additional loci associated with gestational duration and target genes of associated loci. Our strategy illustrates how functional annotations in pregnancy-relevant cell types aid in the experimental follow-up of GWAS for PTB and, likely, other pregnancy-related conditions.

Original languageEnglish
Article numbereabc8696
JournalScience Advances
Volume6
Issue number49
DOIs
StatePublished - Dec 2 2020

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