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High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies
Candidate polymorphism-based genetic epidemiological studies have yielded little success in the search for low-penetrance breast cancer susceptibility genes. The lack of progress is partially due to insufficient coverage of genomic regions with genetic markers, as well as economic constraints, limit...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1557740/ https://www.ncbi.nlm.nih.gov/pubmed/16834767 http://dx.doi.org/10.1186/bcr1511 |
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author | Low, Yen-Ling Wedrén, Sara Liu, Jianjun |
author_facet | Low, Yen-Ling Wedrén, Sara Liu, Jianjun |
author_sort | Low, Yen-Ling |
collection | PubMed |
description | Candidate polymorphism-based genetic epidemiological studies have yielded little success in the search for low-penetrance breast cancer susceptibility genes. The lack of progress is partially due to insufficient coverage of genomic regions with genetic markers, as well as economic constraints, limiting both the number of genetic targets and the number of individuals being studied. Recent rapid advances in high-throughput genotyping technology and our understanding of genetic variation patterns across the human genome are now revolutionizing the way in which genetic epidemiological studies are being designed and conducted. Genetic epidemiological studies are quickly progressing from candidate gene studies to comprehensive pathway investigation and, further, to genomic epidemiological studies where the whole human genome is being interrogated to identify susceptibility alleles. This paper reviews the evolving approaches in the search for low-penetrance breast cancer susceptibility gene variants and discusses their potential promises and pitfalls. |
format | Text |
id | pubmed-1557740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-15577402006-09-01 High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies Low, Yen-Ling Wedrén, Sara Liu, Jianjun Breast Cancer Res Review Candidate polymorphism-based genetic epidemiological studies have yielded little success in the search for low-penetrance breast cancer susceptibility genes. The lack of progress is partially due to insufficient coverage of genomic regions with genetic markers, as well as economic constraints, limiting both the number of genetic targets and the number of individuals being studied. Recent rapid advances in high-throughput genotyping technology and our understanding of genetic variation patterns across the human genome are now revolutionizing the way in which genetic epidemiological studies are being designed and conducted. Genetic epidemiological studies are quickly progressing from candidate gene studies to comprehensive pathway investigation and, further, to genomic epidemiological studies where the whole human genome is being interrogated to identify susceptibility alleles. This paper reviews the evolving approaches in the search for low-penetrance breast cancer susceptibility gene variants and discusses their potential promises and pitfalls. BioMed Central 2006 2006-06-28 /pmc/articles/PMC1557740/ /pubmed/16834767 http://dx.doi.org/10.1186/bcr1511 Text en Copyright © 2006 BioMed Central Ltd |
spellingShingle | Review Low, Yen-Ling Wedrén, Sara Liu, Jianjun High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title | High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title_full | High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title_fullStr | High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title_full_unstemmed | High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title_short | High-throughput genomic technology in research and clinical management of breast cancer. Evolving landscape of genetic epidemiological studies |
title_sort | high-throughput genomic technology in research and clinical management of breast cancer. evolving landscape of genetic epidemiological studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1557740/ https://www.ncbi.nlm.nih.gov/pubmed/16834767 http://dx.doi.org/10.1186/bcr1511 |
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