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Chapter 11: Genome-Wide Association Studies
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531285/ https://www.ncbi.nlm.nih.gov/pubmed/23300413 http://dx.doi.org/10.1371/journal.pcbi.1002822 |
_version_ | 1782254148504256512 |
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author | Bush, William S. Moore, Jason H. |
author_facet | Bush, William S. Moore, Jason H. |
author_sort | Bush, William S. |
collection | PubMed |
description | Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS. |
format | Online Article Text |
id | pubmed-3531285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35312852013-01-08 Chapter 11: Genome-Wide Association Studies Bush, William S. Moore, Jason H. PLoS Comput Biol Education Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS. Public Library of Science 2012-12-27 /pmc/articles/PMC3531285/ /pubmed/23300413 http://dx.doi.org/10.1371/journal.pcbi.1002822 Text en © 2012 Bush, Moore http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Education Bush, William S. Moore, Jason H. Chapter 11: Genome-Wide Association Studies |
title | Chapter 11: Genome-Wide Association Studies |
title_full | Chapter 11: Genome-Wide Association Studies |
title_fullStr | Chapter 11: Genome-Wide Association Studies |
title_full_unstemmed | Chapter 11: Genome-Wide Association Studies |
title_short | Chapter 11: Genome-Wide Association Studies |
title_sort | chapter 11: genome-wide association studies |
topic | Education |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531285/ https://www.ncbi.nlm.nih.gov/pubmed/23300413 http://dx.doi.org/10.1371/journal.pcbi.1002822 |
work_keys_str_mv | AT bushwilliams chapter11genomewideassociationstudies AT moorejasonh chapter11genomewideassociationstudies |