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Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease

Alzheimer's disease affects millions of people worldwide and incidence is expected to rise as the population ages, but no effective therapies exist despite decades of research and more than 20 known disease markers. Research has shown that Alzheimer's disease's missing heritability re...

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Detalles Bibliográficos
Autores principales: Ebbert, Mark T. W., Ridge, Perry G., Kauwe, John S. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449899/
https://www.ncbi.nlm.nih.gov/pubmed/26075270
http://dx.doi.org/10.1155/2015/870123
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author Ebbert, Mark T. W.
Ridge, Perry G.
Kauwe, John S. K.
author_facet Ebbert, Mark T. W.
Ridge, Perry G.
Kauwe, John S. K.
author_sort Ebbert, Mark T. W.
collection PubMed
description Alzheimer's disease affects millions of people worldwide and incidence is expected to rise as the population ages, but no effective therapies exist despite decades of research and more than 20 known disease markers. Research has shown that Alzheimer's disease's missing heritability remains extensive with an estimated 25% of phenotypic variance unexplained by known variants. The missing heritability may be explained by missing variants or by epistasis. Researchers often focus on individual loci rather than epistatic interactions, which is likely an oversimplification of the underlying biology since most phenotypes are affected by multiple genes. Focusing research efforts on epistasis will be critical to resolving Alzheimer's disease etiology, and a major key to identifying and properly interpreting key epistatic interactions will be bridging the gap between statistical and biological epistasis. This review covers the current state of epistasis research in Alzheimer's disease and how researchers can bridge the gap between statistical and biological epistasis to help resolve Alzheimer's disease etiology.
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spelling pubmed-44498992015-06-14 Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease Ebbert, Mark T. W. Ridge, Perry G. Kauwe, John S. K. Biomed Res Int Review Article Alzheimer's disease affects millions of people worldwide and incidence is expected to rise as the population ages, but no effective therapies exist despite decades of research and more than 20 known disease markers. Research has shown that Alzheimer's disease's missing heritability remains extensive with an estimated 25% of phenotypic variance unexplained by known variants. The missing heritability may be explained by missing variants or by epistasis. Researchers often focus on individual loci rather than epistatic interactions, which is likely an oversimplification of the underlying biology since most phenotypes are affected by multiple genes. Focusing research efforts on epistasis will be critical to resolving Alzheimer's disease etiology, and a major key to identifying and properly interpreting key epistatic interactions will be bridging the gap between statistical and biological epistasis. This review covers the current state of epistasis research in Alzheimer's disease and how researchers can bridge the gap between statistical and biological epistasis to help resolve Alzheimer's disease etiology. Hindawi Publishing Corporation 2015 2015-05-17 /pmc/articles/PMC4449899/ /pubmed/26075270 http://dx.doi.org/10.1155/2015/870123 Text en Copyright © 2015 Mark T. W. Ebbert et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Ebbert, Mark T. W.
Ridge, Perry G.
Kauwe, John S. K.
Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title_full Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title_fullStr Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title_full_unstemmed Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title_short Bridging the Gap between Statistical and Biological Epistasis in Alzheimer's Disease
title_sort bridging the gap between statistical and biological epistasis in alzheimer's disease
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449899/
https://www.ncbi.nlm.nih.gov/pubmed/26075270
http://dx.doi.org/10.1155/2015/870123
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