An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer
Genome-wide association studies (GWAS) have successfully identified genetic variants associated with risk for breast cancer. However, the molecular mechanisms through which the identified variants confer risk or influence phenotypic expression remains poorly understood. Here, we present a novel inte...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2011-01-01
|
| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.4137/CIN.S6837 |
| _version_ | 1818151523925884928 |
|---|---|
| author | Chindo Hicks Rozana Asfour Antonio Pannuti Lucio Miele |
| author_facet | Chindo Hicks Rozana Asfour Antonio Pannuti Lucio Miele |
| author_sort | Chindo Hicks |
| collection | DOAJ |
| description | Genome-wide association studies (GWAS) have successfully identified genetic variants associated with risk for breast cancer. However, the molecular mechanisms through which the identified variants confer risk or influence phenotypic expression remains poorly understood. Here, we present a novel integrative genomics approach that combines GWAS information with gene expression data to assess the combined contribution of multiple genetic variants acting within genes and putative biological pathways, and to identify novel genes and biological pathways that could not be identified using traditional GWAS. The results show that genes containing SNPs associated with risk for breast cancer are functionally related and interact with each other in biological pathways relevant to breast cancer. Additionally, we identified novel genes that are co-expressed and interact with genes containing SNPs associated with breast cancer. Integrative analysis combining GWAS information with gene expression data provides functional bridges between GWAS findings and biological pathways involved in breast cancer. |
| first_indexed | 2024-12-11T13:40:11Z |
| format | Article |
| id | doaj.art-43a61e3592464ed0a11b77f87d1f3d68 |
| institution | Directory Open Access Journal |
| issn | 1176-9351 |
| language | English |
| last_indexed | 2024-12-11T13:40:11Z |
| publishDate | 2011-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Cancer Informatics |
| spelling | doaj.art-43a61e3592464ed0a11b77f87d1f3d682022-12-22T01:04:49ZengSAGE PublishingCancer Informatics1176-93512011-01-011010.4137/CIN.S6837An Integrative Genomics Approach to Biomarker Discovery in Breast CancerChindo Hicks0Rozana Asfour1Antonio Pannuti2Lucio Miele3Cancer Institute, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS, USA.Stritch School of Medicine, Loyola University Medical Center, Maywood, IL, USA.Cancer Institute, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS, USA.Cancer Institute, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS, USA.Genome-wide association studies (GWAS) have successfully identified genetic variants associated with risk for breast cancer. However, the molecular mechanisms through which the identified variants confer risk or influence phenotypic expression remains poorly understood. Here, we present a novel integrative genomics approach that combines GWAS information with gene expression data to assess the combined contribution of multiple genetic variants acting within genes and putative biological pathways, and to identify novel genes and biological pathways that could not be identified using traditional GWAS. The results show that genes containing SNPs associated with risk for breast cancer are functionally related and interact with each other in biological pathways relevant to breast cancer. Additionally, we identified novel genes that are co-expressed and interact with genes containing SNPs associated with breast cancer. Integrative analysis combining GWAS information with gene expression data provides functional bridges between GWAS findings and biological pathways involved in breast cancer.https://doi.org/10.4137/CIN.S6837 |
| spellingShingle | Chindo Hicks Rozana Asfour Antonio Pannuti Lucio Miele An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer Cancer Informatics |
| title | An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer |
| title_full | An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer |
| title_fullStr | An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer |
| title_full_unstemmed | An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer |
| title_short | An Integrative Genomics Approach to Biomarker Discovery in Breast Cancer |
| title_sort | integrative genomics approach to biomarker discovery in breast cancer |
| url | https://doi.org/10.4137/CIN.S6837 |
| work_keys_str_mv | AT chindohicks anintegrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT rozanaasfour anintegrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT antoniopannuti anintegrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT luciomiele anintegrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT chindohicks integrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT rozanaasfour integrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT antoniopannuti integrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer AT luciomiele integrativegenomicsapproachtobiomarkerdiscoveryinbreastcancer |