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Identification of rare variants in Alzheimer’s disease
Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer’s disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211559/ https://www.ncbi.nlm.nih.gov/pubmed/25389433 http://dx.doi.org/10.3389/fgene.2014.00369 |
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author | Lord, Jenny Lu, Alexander J. Cruchaga, Carlos |
author_facet | Lord, Jenny Lu, Alexander J. Cruchaga, Carlos |
author_sort | Lord, Jenny |
collection | PubMed |
description | Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer’s disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion of the genetic component of the disorder remains unexplained. Recent evidence from the AD field, as with other complex diseases, suggests a large proportion of this “missing heritability” may be due to rare variants of moderate to large effect size, but the methodologies to detect such variants are still in their infancy. The latest studies in the field have been focused on the identification of coding variation associated with AD risk, through whole-exome or whole-genome sequencing. Such variants are expected to have larger effect sizes than GWAS loci, and are easier to functionally characterize, and develop cellular and animal models for. This review explores the issues involved in detecting rare variant associations in the context of AD, highlighting some successful approaches utilized to date. |
format | Online Article Text |
id | pubmed-4211559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42115592014-11-11 Identification of rare variants in Alzheimer’s disease Lord, Jenny Lu, Alexander J. Cruchaga, Carlos Front Genet Genetics Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer’s disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion of the genetic component of the disorder remains unexplained. Recent evidence from the AD field, as with other complex diseases, suggests a large proportion of this “missing heritability” may be due to rare variants of moderate to large effect size, but the methodologies to detect such variants are still in their infancy. The latest studies in the field have been focused on the identification of coding variation associated with AD risk, through whole-exome or whole-genome sequencing. Such variants are expected to have larger effect sizes than GWAS loci, and are easier to functionally characterize, and develop cellular and animal models for. This review explores the issues involved in detecting rare variant associations in the context of AD, highlighting some successful approaches utilized to date. Frontiers Media S.A. 2014-10-28 /pmc/articles/PMC4211559/ /pubmed/25389433 http://dx.doi.org/10.3389/fgene.2014.00369 Text en Copyright © 2014 Lord, Lu and Cruchaga. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lord, Jenny Lu, Alexander J. Cruchaga, Carlos Identification of rare variants in Alzheimer’s disease |
title | Identification of rare variants in Alzheimer’s disease |
title_full | Identification of rare variants in Alzheimer’s disease |
title_fullStr | Identification of rare variants in Alzheimer’s disease |
title_full_unstemmed | Identification of rare variants in Alzheimer’s disease |
title_short | Identification of rare variants in Alzheimer’s disease |
title_sort | identification of rare variants in alzheimer’s disease |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211559/ https://www.ncbi.nlm.nih.gov/pubmed/25389433 http://dx.doi.org/10.3389/fgene.2014.00369 |
work_keys_str_mv | AT lordjenny identificationofrarevariantsinalzheimersdisease AT lualexanderj identificationofrarevariantsinalzheimersdisease AT cruchagacarlos identificationofrarevariantsinalzheimersdisease |