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Pan-cancer analysis of promoter activity quantitative trait loci

Altered promoter activity has been generally observed in diverse biological processes, including tumorigenesis. Accumulating evidence suggests that employing a quantitative trait locus mapping approach is effective in comprehending the genetic basis of promoter activity. By utilizing genotype data f...

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Detalles Bibliográficos
Autores principales: Li, Ran, Wan, Dongyi, Liang, Junnan, Liang, Huifang, Huang, Haohao, Li, Ganxun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644876/
https://www.ncbi.nlm.nih.gov/pubmed/38023732
http://dx.doi.org/10.1093/narcan/zcad053
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author Li, Ran
Wan, Dongyi
Liang, Junnan
Liang, Huifang
Huang, Haohao
Li, Ganxun
author_facet Li, Ran
Wan, Dongyi
Liang, Junnan
Liang, Huifang
Huang, Haohao
Li, Ganxun
author_sort Li, Ran
collection PubMed
description Altered promoter activity has been generally observed in diverse biological processes, including tumorigenesis. Accumulating evidence suggests that employing a quantitative trait locus mapping approach is effective in comprehending the genetic basis of promoter activity. By utilizing genotype data from The Cancer Genome Atlas and calculating corresponding promoter activity values using proActiv, we systematically evaluated the impact of genetic variants on promoter activity and identified >1.0 million promoter activity quantitative trait loci (paQTLs) as both cis- and trans-acting. Additionally, leveraging data from the genome-wide association study (GWAS) catalog, we discovered >1.3 million paQTLs that overlap with known GWAS linkage disequilibrium regions. Remarkably, ∼9324 paQTLs exhibited significant associations with patient prognosis. Moreover, investigating the impact of promoter activity on >1000 imputed antitumor therapy responses among pan-cancer patients revealed >43 000 million significant associations. Furthermore, ∼25 000 significant associations were identified between promoter activity and immune cell abundance. Finally, a user-friendly data portal, Pancan-paQTL (https://www.hbpding.com/PancanPaQTL/), was constructed for users to browse, search and download data of interest. Pancan-paQTL serves as a comprehensive multidimensional database, enabling functional and clinical investigations into genetic variants associated with promoter activity, drug responses and immune infiltration across multiple cancer types.
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spelling pubmed-106448762023-11-14 Pan-cancer analysis of promoter activity quantitative trait loci Li, Ran Wan, Dongyi Liang, Junnan Liang, Huifang Huang, Haohao Li, Ganxun NAR Cancer Cancer Data Resource Altered promoter activity has been generally observed in diverse biological processes, including tumorigenesis. Accumulating evidence suggests that employing a quantitative trait locus mapping approach is effective in comprehending the genetic basis of promoter activity. By utilizing genotype data from The Cancer Genome Atlas and calculating corresponding promoter activity values using proActiv, we systematically evaluated the impact of genetic variants on promoter activity and identified >1.0 million promoter activity quantitative trait loci (paQTLs) as both cis- and trans-acting. Additionally, leveraging data from the genome-wide association study (GWAS) catalog, we discovered >1.3 million paQTLs that overlap with known GWAS linkage disequilibrium regions. Remarkably, ∼9324 paQTLs exhibited significant associations with patient prognosis. Moreover, investigating the impact of promoter activity on >1000 imputed antitumor therapy responses among pan-cancer patients revealed >43 000 million significant associations. Furthermore, ∼25 000 significant associations were identified between promoter activity and immune cell abundance. Finally, a user-friendly data portal, Pancan-paQTL (https://www.hbpding.com/PancanPaQTL/), was constructed for users to browse, search and download data of interest. Pancan-paQTL serves as a comprehensive multidimensional database, enabling functional and clinical investigations into genetic variants associated with promoter activity, drug responses and immune infiltration across multiple cancer types. Oxford University Press 2023-11-14 /pmc/articles/PMC10644876/ /pubmed/38023732 http://dx.doi.org/10.1093/narcan/zcad053 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of NAR Cancer. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Data Resource
Li, Ran
Wan, Dongyi
Liang, Junnan
Liang, Huifang
Huang, Haohao
Li, Ganxun
Pan-cancer analysis of promoter activity quantitative trait loci
title Pan-cancer analysis of promoter activity quantitative trait loci
title_full Pan-cancer analysis of promoter activity quantitative trait loci
title_fullStr Pan-cancer analysis of promoter activity quantitative trait loci
title_full_unstemmed Pan-cancer analysis of promoter activity quantitative trait loci
title_short Pan-cancer analysis of promoter activity quantitative trait loci
title_sort pan-cancer analysis of promoter activity quantitative trait loci
topic Cancer Data Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644876/
https://www.ncbi.nlm.nih.gov/pubmed/38023732
http://dx.doi.org/10.1093/narcan/zcad053
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