Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling
Genome-wide association studies (GWAS) have identified SNPs associated with breast cancer. However, they offer limited insights about the biological mechanisms by which SNPs confer risk. We investigated the association of GWAS information with a major oncogenic pathway in breast cancer, the Notch si...
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Online Access: | https://doi.org/10.4137/CIN.S6072 |
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doaj-782b704d80d14bfaae76e9c04a7cee052020-11-25T04:00:21ZengSAGE PublishingCancer Informatics1176-93512011-01-011010.4137/CIN.S6072Associating GWAS Information with the Notch Signaling Pathway Using Transcription ProfilingChindo Hicks0Antonio Pannuti1Lucio Miele2Cancer Institute, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.Cancer Institute, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.Cancer Institute, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA.Genome-wide association studies (GWAS) have identified SNPs associated with breast cancer. However, they offer limited insights about the biological mechanisms by which SNPs confer risk. We investigated the association of GWAS information with a major oncogenic pathway in breast cancer, the Notch signaling pathway. We first identified 385 SNPs and 150 genes associated with risk for breast cancer by mining data from 41 GWAS. We then investigated their expression, along with 32 genes involved in the Notch signaling pathway using two publicly available gene expression data sets from the Caucasian (42 cases and 143 controls) and Asian (43 cases and 43 controls) populations. Pathway prediction and network modeling confirmed that Notch receptors and genes involved in the Notch signaling pathway interact with genes containing SNPs associated with risk for breast cancer. Additionally, we identified other SNP-associated biological pathways relevant to breast cancer, including the P53, apoptosis and MAP kinase pathways.https://doi.org/10.4137/CIN.S6072 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chindo Hicks Antonio Pannuti Lucio Miele |
spellingShingle |
Chindo Hicks Antonio Pannuti Lucio Miele Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling Cancer Informatics |
author_facet |
Chindo Hicks Antonio Pannuti Lucio Miele |
author_sort |
Chindo Hicks |
title |
Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling |
title_short |
Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling |
title_full |
Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling |
title_fullStr |
Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling |
title_full_unstemmed |
Associating GWAS Information with the Notch Signaling Pathway Using Transcription Profiling |
title_sort |
associating gwas information with the notch signaling pathway using transcription profiling |
publisher |
SAGE Publishing |
series |
Cancer Informatics |
issn |
1176-9351 |
publishDate |
2011-01-01 |
description |
Genome-wide association studies (GWAS) have identified SNPs associated with breast cancer. However, they offer limited insights about the biological mechanisms by which SNPs confer risk. We investigated the association of GWAS information with a major oncogenic pathway in breast cancer, the Notch signaling pathway. We first identified 385 SNPs and 150 genes associated with risk for breast cancer by mining data from 41 GWAS. We then investigated their expression, along with 32 genes involved in the Notch signaling pathway using two publicly available gene expression data sets from the Caucasian (42 cases and 143 controls) and Asian (43 cases and 43 controls) populations. Pathway prediction and network modeling confirmed that Notch receptors and genes involved in the Notch signaling pathway interact with genes containing SNPs associated with risk for breast cancer. Additionally, we identified other SNP-associated biological pathways relevant to breast cancer, including the P53, apoptosis and MAP kinase pathways. |
url |
https://doi.org/10.4137/CIN.S6072 |
work_keys_str_mv |
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