{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Apicella C"],"funding":["European Union’s Horizon 2020 research and innovation program"],"pagination":["578"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9954093"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(4)"],"pubmed_abstract":["In this study, we attempted to find genetic variants affecting gene expression (eQTL = expression Quantitative Trait Loci) in the human placenta in normal and pathological situations. The analysis of gene expression in placental diseases (Pre-eclampsia and Intra-Uterine Growth Restriction) is hindered by the fact that diseased placental tissue samples are generally taken at earlier gestations compared to control samples. The difference in gestational age is considered a major confounding factor in the transcriptome regulation of the placenta. To alleviate this significant problem, we propose here a novel approach to pinpoint disease-specific cis-eQTLs. By statistical correction for gestational age at sampling as well as other confounding/surrogate variables systematically searched and iden"],"journal":["Cells"],"pubmed_title":["Pan-Genomic Regulation of Gene Expression in Normal and Pathological Human Placentas."],"pmcid":["PMC9954093"],"funding_grant_id":["765274"],"pubmed_authors":["Khalil A","Mehats C","Gascoin G","Jacques S","Giorgione V","Miralles F","Ruano CSM","Gaspar C","Apicella C","Murdoch CE","Thilaganathan B","Vaiman D","Marcellin L"],"additional_accession":[]},"is_claimable":false,"name":"Pan-Genomic Regulation of Gene Expression in Normal and Pathological Human Placentas.","description":"In this study, we attempted to find genetic variants affecting gene expression (eQTL = expression Quantitative Trait Loci) in the human placenta in normal and pathological situations. The analysis of gene expression in placental diseases (Pre-eclampsia and Intra-Uterine Growth Restriction) is hindered by the fact that diseased placental tissue samples are generally taken at earlier gestations compared to control samples. The difference in gestational age is considered a major confounding factor in the transcriptome regulation of the placenta. To alleviate this significant problem, we propose here a novel approach to pinpoint disease-specific cis-eQTLs. By statistical correction for gestational age at sampling as well as other confounding/surrogate variables systematically searched and iden","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2026-04-08T13:24:22.376Z","creation":"2025-02-19T00:13:56.627Z"},"accession":"S-EPMC9954093","cross_references":{"pubmed":["36831244"],"doi":["10.3390/cells12040578"]}}