Published July 22, 2016
| Version v1
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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
Creators
- 1. University of Chicago
- 2. Vanderbilt University
- 3. University of Illinois at Chicago
Description
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.
Data availability
Endometrial gene expression data can be found on the Gene Expression Omnibus (GEO) under accession GSE77688. Accompanying genotype data is linked to the GEO submission and available through dbGaP under accession number phs001146.v1.p1. For the studies in the Hutterites we will make summary data available by requests, but because of the unique structure of the Hutterite pedigree we cannot make individual data available without breaching confidentiality.Files
journal.pgen.1005858.pdf
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Additional details
Identifiers
- DOI
- 10.1371/journal.pgen.1005858
- Other
- oai:uchicago.tind.io:7072
Funding
- National Institutes of Health
- R01 HD21244
- National Institutes of Health
- R01 HL085197
- National Institutes of Health
- R01 HD043883
- National Institutes of Health
- R01 HD049675
- American Water Works Association Research Foundation
- 2579
- National Center for Advancing Translational Sciences
- Clinical and Translational Science Award