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Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria

Preeclampsia (PE) is a relatively common but severe pregnancy disorder (with very limited effective treatments) characterized by hypertension (HTN) and usually proteinuria (PRO) or other organ damage. Genome-wide association studies (GWAS) of PE, HTN, and PRO have mostly identified risk loci single...

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Autores principales: Boom, Genevieve, O’Sullivan, Justin M, Schierding, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106839/
https://www.ncbi.nlm.nih.gov/pubmed/36738257
http://dx.doi.org/10.1093/biolre/ioad016
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author Boom, Genevieve
O’Sullivan, Justin M
Schierding, William
author_facet Boom, Genevieve
O’Sullivan, Justin M
Schierding, William
author_sort Boom, Genevieve
collection PubMed
description Preeclampsia (PE) is a relatively common but severe pregnancy disorder (with very limited effective treatments) characterized by hypertension (HTN) and usually proteinuria (PRO) or other organ damage. Genome-wide association studies (GWAS) of PE, HTN, and PRO have mostly identified risk loci single nucleotide polymorphisms (SNPs) located in noncoding genomic regions, likely impacting the regulation of distal gene expression. The latest GWAS associated (P < 1 × 10(−6)) SNPs to PE (n = 25), HTN (n = 1926), and PRO (n = 170). Our algorithmic analysis (CoDeS3D) used chromatin connection data (Hi-C) derived from 70 cell lines followed by analysis of two expression quantitative trail loci (eQTL) cohorts: GTEx (838 donors, 54 tissues, totaling 15 253 samples) and DICE (91 donors, 13 blood tissue types). We identified spatially constrained eQTLs which implicate gene targets in PE (n = 16), HTN (n = 3561), and PRO (n = 335). By overlapping these target genes and their molecular pathways (protein–protein interaction networks), we identified shared functional impacts between PE and HTN, which are significantly enriched for regulatory interactions which target genes intolerant to loss-of-function mutations. While the disease-associated SNP loci mostly do not overlap, the regulatory signals (target genes and pathways) overlap, informing on PE risk mechanisms. This demonstrates a model in which genetic predisposition to HTN and PRO lays a molecular groundwork toward risk for PE pathogenesis. This overlap at the gene regulatory network level identifies possible shared therapeutic targets for future study.
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spelling pubmed-101068392023-04-18 Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria Boom, Genevieve O’Sullivan, Justin M Schierding, William Biol Reprod Research Article Preeclampsia (PE) is a relatively common but severe pregnancy disorder (with very limited effective treatments) characterized by hypertension (HTN) and usually proteinuria (PRO) or other organ damage. Genome-wide association studies (GWAS) of PE, HTN, and PRO have mostly identified risk loci single nucleotide polymorphisms (SNPs) located in noncoding genomic regions, likely impacting the regulation of distal gene expression. The latest GWAS associated (P < 1 × 10(−6)) SNPs to PE (n = 25), HTN (n = 1926), and PRO (n = 170). Our algorithmic analysis (CoDeS3D) used chromatin connection data (Hi-C) derived from 70 cell lines followed by analysis of two expression quantitative trail loci (eQTL) cohorts: GTEx (838 donors, 54 tissues, totaling 15 253 samples) and DICE (91 donors, 13 blood tissue types). We identified spatially constrained eQTLs which implicate gene targets in PE (n = 16), HTN (n = 3561), and PRO (n = 335). By overlapping these target genes and their molecular pathways (protein–protein interaction networks), we identified shared functional impacts between PE and HTN, which are significantly enriched for regulatory interactions which target genes intolerant to loss-of-function mutations. While the disease-associated SNP loci mostly do not overlap, the regulatory signals (target genes and pathways) overlap, informing on PE risk mechanisms. This demonstrates a model in which genetic predisposition to HTN and PRO lays a molecular groundwork toward risk for PE pathogenesis. This overlap at the gene regulatory network level identifies possible shared therapeutic targets for future study. Oxford University Press 2023-02-04 /pmc/articles/PMC10106839/ /pubmed/36738257 http://dx.doi.org/10.1093/biolre/ioad016 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Society for the Study of Reproduction. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Boom, Genevieve
O’Sullivan, Justin M
Schierding, William
Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title_full Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title_fullStr Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title_full_unstemmed Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title_short Spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
title_sort spatially constrained gene regulation identifies key genetic contributions of preeclampsia, hypertension, and proteinuria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106839/
https://www.ncbi.nlm.nih.gov/pubmed/36738257
http://dx.doi.org/10.1093/biolre/ioad016
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