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...

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Autores principales: William S Bush, Jason H Moore
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/811aaf4095824b1ba6ec1fffb88b1ade
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spelling oai:doaj.org-article:811aaf4095824b1ba6ec1fffb88b1ade2021-11-18T05:52:35ZChapter 11: Genome-wide association studies.1553-734X1553-735810.1371/journal.pcbi.1002822https://doaj.org/article/811aaf4095824b1ba6ec1fffb88b1ade2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23300413/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Genome-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.William S BushJason H MoorePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 12, p e1002822 (2012)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
William S Bush
Jason H Moore
Chapter 11: Genome-wide association studies.
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 article
author William S Bush
Jason H Moore
author_facet William S Bush
Jason H Moore
author_sort William S Bush
title Chapter 11: Genome-wide association studies.
title_short 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_sort chapter 11: genome-wide association studies.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/811aaf4095824b1ba6ec1fffb88b1ade
work_keys_str_mv AT williamsbush chapter11genomewideassociationstudies
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