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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Main Authors: Chindo Hicks, Antonio Pannuti, Lucio Miele
Format: Article
Language:English
Published: SAGE Publishing 2011-01-01
Series:Cancer Informatics
Online Access:https://doi.org/10.4137/CIN.S6072
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spelling 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
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