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Searching the Dark Genome for Alzheimer’s Disease Risk Variants
Sporadic Alzheimer’s disease (AD) is a complex genetic disease, and the leading cause of dementia worldwide. Over the past 3 decades, extensive pioneering research has discovered more than 70 common and rare genetic risk variants. These discoveries have contributed massively to our understanding of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999247/ https://www.ncbi.nlm.nih.gov/pubmed/33800766 http://dx.doi.org/10.3390/brainsci11030332 |
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author | Raybould, Rachel Sims, Rebecca |
author_facet | Raybould, Rachel Sims, Rebecca |
author_sort | Raybould, Rachel |
collection | PubMed |
description | Sporadic Alzheimer’s disease (AD) is a complex genetic disease, and the leading cause of dementia worldwide. Over the past 3 decades, extensive pioneering research has discovered more than 70 common and rare genetic risk variants. These discoveries have contributed massively to our understanding of the pathogenesis of AD but approximately half of the heritability for AD remains unaccounted for. There are regions of the genome that are not assayed by mainstream genotype and sequencing technology. These regions, known as the Dark Genome, often harbour large structural DNA variants that are likely relevant to disease risk. Here, we describe the dark genome and review current technological and bioinformatics advances that will enable researchers to shed light on these hidden regions of the genome. We highlight the potential importance of the hidden genome in complex disease and how these strategies will assist in identifying the missing heritability of AD. Identification of novel protein-coding structural variation that increases risk of AD will open new avenues for translational research and new drug targets that have the potential for clinical benefit to delay or even prevent clinical symptoms of disease. |
format | Online Article Text |
id | pubmed-7999247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79992472021-03-28 Searching the Dark Genome for Alzheimer’s Disease Risk Variants Raybould, Rachel Sims, Rebecca Brain Sci Review Sporadic Alzheimer’s disease (AD) is a complex genetic disease, and the leading cause of dementia worldwide. Over the past 3 decades, extensive pioneering research has discovered more than 70 common and rare genetic risk variants. These discoveries have contributed massively to our understanding of the pathogenesis of AD but approximately half of the heritability for AD remains unaccounted for. There are regions of the genome that are not assayed by mainstream genotype and sequencing technology. These regions, known as the Dark Genome, often harbour large structural DNA variants that are likely relevant to disease risk. Here, we describe the dark genome and review current technological and bioinformatics advances that will enable researchers to shed light on these hidden regions of the genome. We highlight the potential importance of the hidden genome in complex disease and how these strategies will assist in identifying the missing heritability of AD. Identification of novel protein-coding structural variation that increases risk of AD will open new avenues for translational research and new drug targets that have the potential for clinical benefit to delay or even prevent clinical symptoms of disease. MDPI 2021-03-06 /pmc/articles/PMC7999247/ /pubmed/33800766 http://dx.doi.org/10.3390/brainsci11030332 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Review Raybould, Rachel Sims, Rebecca Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title | Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title_full | Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title_fullStr | Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title_full_unstemmed | Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title_short | Searching the Dark Genome for Alzheimer’s Disease Risk Variants |
title_sort | searching the dark genome for alzheimer’s disease risk variants |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999247/ https://www.ncbi.nlm.nih.gov/pubmed/33800766 http://dx.doi.org/10.3390/brainsci11030332 |
work_keys_str_mv | AT raybouldrachel searchingthedarkgenomeforalzheimersdiseaseriskvariants AT simsrebecca searchingthedarkgenomeforalzheimersdiseaseriskvariants |