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Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses
Using RefSeq annotations, most disease/trait-associated genetic variants identified by genome-wide association studies (GWAS) appear to be located within intronic or intergenic regions, which makes it difficult to interpret their functions. We reassessed GWAS-Associated single-nucleotide polymorphis...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377585/ https://www.ncbi.nlm.nih.gov/pubmed/25819875 http://dx.doi.org/10.1038/srep09453 |
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author | Chen, Geng Yu, Dianke Chen, Jiwei Cao, Ruifang Yang, Juan Wang, Huan Ji, Xiangjun Ning, Baitang Shi, Tieliu |
author_facet | Chen, Geng Yu, Dianke Chen, Jiwei Cao, Ruifang Yang, Juan Wang, Huan Ji, Xiangjun Ning, Baitang Shi, Tieliu |
author_sort | Chen, Geng |
collection | PubMed |
description | Using RefSeq annotations, most disease/trait-associated genetic variants identified by genome-wide association studies (GWAS) appear to be located within intronic or intergenic regions, which makes it difficult to interpret their functions. We reassessed GWAS-Associated single-nucleotide polymorphisms (herein termed as GASs) for their potential functionalities using integrative approaches. 8834 of 9184 RefSeq “noncoding” GASs were reassessed to have potential regulatory functionalities. As examples, 3 variants (rs3130320, rs3806932 and rs6890853) were shown to have regulatory properties in HepG2, A549 and 293T cells. Except rs3130320 as a known expression quantitative trait loci (eQTL), rs3806932 and rs6890853 were not reported as eQTLs in previous reports. 1999 of 9184 “noncoding” GASs were re-annotated to the promoters or intragenic regions using Ensembl, UCSC and AceView gene annotations but they were not annotated into corresponding regions in RefSeq database. Moreover, these GAS-harboring genes were broadly expressed across different tissues and a portion of them was expressed in a tissue-specific manner, suggesting that they could be functional. Collectively, our study demonstrates the benefits of using integrative analyses to interpret genetic variants and may help to predict or explain disease susceptibility more accurately and comprehensively. |
format | Online Article Text |
id | pubmed-4377585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-43775852015-04-07 Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses Chen, Geng Yu, Dianke Chen, Jiwei Cao, Ruifang Yang, Juan Wang, Huan Ji, Xiangjun Ning, Baitang Shi, Tieliu Sci Rep Article Using RefSeq annotations, most disease/trait-associated genetic variants identified by genome-wide association studies (GWAS) appear to be located within intronic or intergenic regions, which makes it difficult to interpret their functions. We reassessed GWAS-Associated single-nucleotide polymorphisms (herein termed as GASs) for their potential functionalities using integrative approaches. 8834 of 9184 RefSeq “noncoding” GASs were reassessed to have potential regulatory functionalities. As examples, 3 variants (rs3130320, rs3806932 and rs6890853) were shown to have regulatory properties in HepG2, A549 and 293T cells. Except rs3130320 as a known expression quantitative trait loci (eQTL), rs3806932 and rs6890853 were not reported as eQTLs in previous reports. 1999 of 9184 “noncoding” GASs were re-annotated to the promoters or intragenic regions using Ensembl, UCSC and AceView gene annotations but they were not annotated into corresponding regions in RefSeq database. Moreover, these GAS-harboring genes were broadly expressed across different tissues and a portion of them was expressed in a tissue-specific manner, suggesting that they could be functional. Collectively, our study demonstrates the benefits of using integrative analyses to interpret genetic variants and may help to predict or explain disease susceptibility more accurately and comprehensively. Nature Publishing Group 2015-03-30 /pmc/articles/PMC4377585/ /pubmed/25819875 http://dx.doi.org/10.1038/srep09453 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Chen, Geng Yu, Dianke Chen, Jiwei Cao, Ruifang Yang, Juan Wang, Huan Ji, Xiangjun Ning, Baitang Shi, Tieliu Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title | Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title_full | Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title_fullStr | Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title_full_unstemmed | Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title_short | Re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
title_sort | re-annotation of presumed noncoding disease/trait-associated genetic variants by integrative analyses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377585/ https://www.ncbi.nlm.nih.gov/pubmed/25819875 http://dx.doi.org/10.1038/srep09453 |
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