AI Article Synopsis

  • The study investigates the genetic factors that affect fertility traits in women by mapping expression quantitative trait loci (eQTLs) in mid-secretory endometrium, identifying 423 significant genetic variants (eSNPs) linked to 132 genes.
  • Among these, two specific eSNPs in the HLA region were found to significantly associate with fecundability, indicating their role in the ability to conceive, and their effects were confirmed in a separate sample.
  • This research highlights the importance of these HLA genes in implantation success, suggesting they play a crucial part in female reproductive outcomes.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957750PMC
http://dx.doi.org/10.1371/journal.pgen.1005858DOI Listing

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