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Expression Quantitative Trait Locus Mapping Studies in Mid-secretory Phase Endometrial Cells Identifies HLA-F and TAP2 as Fecundability-Associated Genes

  • Courtney K. Burrows
  • , Gülüm Kosova
  • , Catherine Herman
  • , Kristen Patterson
  • , Katherine E. Hartmann
  • , Digna R. Velez Edwards
  • , Mary D. Stephenson
  • , Vincent J. Lynch
  • , Carole Ober
  • The University of Chicago
  • Massachusetts General Hospital
  • Vanderbilt University
  • University of Illinois at Chicago

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Fertility traits in humans are heritable, however, little is known about the genes that influence reproductive outcomes or the genetic variants that contribute to differences in these traits between individuals, particularly women. To address this gap in knowledge, we performed an unbiased genome-wide expression quantitative trait locus (eQTL) mapping study to identify common regulatory (expression) single nucleotide polymorphisms (eSNPs) in mid-secretory endometrium. We identified 423 cis-eQTLs for 132 genes that were significant at a false discovery rate (FDR) of 1%. After pruning for strong LD (r2 >0.95), we tested for associations between eSNPs and fecundability (the ability to get pregnant), measured as the length of the interval to pregnancy, in 117 women. Two eSNPs were associated with fecundability at a FDR of 5%; both were in the HLA region and were eQTLs for the TAP2 gene (P = 1.3x10-4) and the HLA-F gene (P = 4.0x10-4), respectively. The effects of these SNPs on fecundability were replicated in an independent sample. The two eSNPs reside within or near regulatory elements in decidualized human endometrial stromal cells. Our study integrating eQTL mapping in a primary tissue with association studies of a related phenotype revealed novel genes and associated alleles with independent effects on fecundability, and identified a central role for two HLA region genes in human implantation success.

Original languageEnglish
Article numbere1005858
JournalPLOS Genetics
Volume12
Issue number7
DOIs
StatePublished - Jul 2016

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