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A cross-tissue transcriptome association study identifies key genes in essential hypertension
Genome-wide association study (GWAS) have identified over 1,000 loci associated with blood pressure. However, these loci only explain 6% of heritability. Transcriptome-wide association studies (TWAS) combine GWAS summary data with expression quantitative trait loci (eQTL) to provide a better approac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950398/ https://www.ncbi.nlm.nih.gov/pubmed/36845374 http://dx.doi.org/10.3389/fgene.2023.1114174 |
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author | Huang, Sihui Wang, Jie Liu, Nannan Li, Ping Wu, Sha Qi, Luming Xia, Lina |
author_facet | Huang, Sihui Wang, Jie Liu, Nannan Li, Ping Wu, Sha Qi, Luming Xia, Lina |
author_sort | Huang, Sihui |
collection | PubMed |
description | Genome-wide association study (GWAS) have identified over 1,000 loci associated with blood pressure. However, these loci only explain 6% of heritability. Transcriptome-wide association studies (TWAS) combine GWAS summary data with expression quantitative trait loci (eQTL) to provide a better approach to finding genes associated with complex traits. GWAS summary data (N = 450,584) for essential hypertension originating from European samples were subjected to Post-GWAS analysis using FUMA software and then combined with eQTL data from Genotype-Tissues Expression Project (GTEx) v8 for TWAS analysis using UTMOST, FUSION software, and then validated the results with SMR. FUMA identified 346 significant genes associated with hypertension, FUSION identified 461, and UTMOST cross-tissue analysis identified 34, of which 5 were common. SMR validation identified 3 key genes: ENPEP, USP38, and KCNK3. In previous GWAS studies on blood pressure regulation, the association of ENPEP and KCNK3 with hypertension has been established, and the association between USP38 and blood pressure regulation still needs further validation. |
format | Online Article Text |
id | pubmed-9950398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99503982023-02-25 A cross-tissue transcriptome association study identifies key genes in essential hypertension Huang, Sihui Wang, Jie Liu, Nannan Li, Ping Wu, Sha Qi, Luming Xia, Lina Front Genet Genetics Genome-wide association study (GWAS) have identified over 1,000 loci associated with blood pressure. However, these loci only explain 6% of heritability. Transcriptome-wide association studies (TWAS) combine GWAS summary data with expression quantitative trait loci (eQTL) to provide a better approach to finding genes associated with complex traits. GWAS summary data (N = 450,584) for essential hypertension originating from European samples were subjected to Post-GWAS analysis using FUMA software and then combined with eQTL data from Genotype-Tissues Expression Project (GTEx) v8 for TWAS analysis using UTMOST, FUSION software, and then validated the results with SMR. FUMA identified 346 significant genes associated with hypertension, FUSION identified 461, and UTMOST cross-tissue analysis identified 34, of which 5 were common. SMR validation identified 3 key genes: ENPEP, USP38, and KCNK3. In previous GWAS studies on blood pressure regulation, the association of ENPEP and KCNK3 with hypertension has been established, and the association between USP38 and blood pressure regulation still needs further validation. Frontiers Media S.A. 2023-02-10 /pmc/articles/PMC9950398/ /pubmed/36845374 http://dx.doi.org/10.3389/fgene.2023.1114174 Text en Copyright © 2023 Huang, Wang, Liu, Li, Wu, Qi and Xia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Huang, Sihui Wang, Jie Liu, Nannan Li, Ping Wu, Sha Qi, Luming Xia, Lina A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title | A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title_full | A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title_fullStr | A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title_full_unstemmed | A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title_short | A cross-tissue transcriptome association study identifies key genes in essential hypertension |
title_sort | cross-tissue transcriptome association study identifies key genes in essential hypertension |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950398/ https://www.ncbi.nlm.nih.gov/pubmed/36845374 http://dx.doi.org/10.3389/fgene.2023.1114174 |
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