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Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype

Age-related Macular Degeneration (AMD) is a leading cause of blindness in the developed world, especially in aging populations, and is therefore an important target for new therapeutic development. Recently, there have been several studies demonstrating strong associations between AMD and sites of h...

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Autores principales: Laurent, Jon M, Fu, Xin, German, Sergei, Maurano, Matthew T, Zhang, Kang, Boeke, Jef D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6432742/
https://www.ncbi.nlm.nih.gov/pubmed/30944767
http://dx.doi.org/10.1093/pcmedi/pby019
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author Laurent, Jon M
Fu, Xin
German, Sergei
Maurano, Matthew T
Zhang, Kang
Boeke, Jef D
author_facet Laurent, Jon M
Fu, Xin
German, Sergei
Maurano, Matthew T
Zhang, Kang
Boeke, Jef D
author_sort Laurent, Jon M
collection PubMed
description Age-related Macular Degeneration (AMD) is a leading cause of blindness in the developed world, especially in aging populations, and is therefore an important target for new therapeutic development. Recently, there have been several studies demonstrating strong associations between AMD and sites of heritable genetic variation at multiple loci, including a highly significant association at 10q26. The 10q26 risk region contains two genes, HTRA1 and ARMS2, both of which have been separately implicated as causative for the disease, as well as dozens of sites of non-coding variation. To date, no studies have successfully pinpointed which of these variant sites are functional in AMD, nor definitively identified which genes in the region are targets of such regulatory variation. In order to efficiently decipher which sites are functional in AMD phenotypes, we describe a general framework for combinatorial assembly of large ‘synthetic haplotypes’ along with delivery to relevant disease cell types for downstream functional analysis. We demonstrate the successful and highly efficient assembly of a first-draft 119kb wild-type ‘assemblon’ covering the HTRA1/ARMS2 risk region. We further propose the parallelized assembly of a library of combinatorial variant synthetic haplotypes covering the region, delivery and analysis of which will identify functional sites and their effects, leading to an improved understanding of AMD development. We anticipate that the methodology proposed here is highly generalizable towards the difficult problem of identifying truly functional variants from those discovered via GWAS or other genetic association studies.
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spelling pubmed-64327422019-04-01 Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype Laurent, Jon M Fu, Xin German, Sergei Maurano, Matthew T Zhang, Kang Boeke, Jef D Precis Clin Med Research Article Age-related Macular Degeneration (AMD) is a leading cause of blindness in the developed world, especially in aging populations, and is therefore an important target for new therapeutic development. Recently, there have been several studies demonstrating strong associations between AMD and sites of heritable genetic variation at multiple loci, including a highly significant association at 10q26. The 10q26 risk region contains two genes, HTRA1 and ARMS2, both of which have been separately implicated as causative for the disease, as well as dozens of sites of non-coding variation. To date, no studies have successfully pinpointed which of these variant sites are functional in AMD, nor definitively identified which genes in the region are targets of such regulatory variation. In order to efficiently decipher which sites are functional in AMD phenotypes, we describe a general framework for combinatorial assembly of large ‘synthetic haplotypes’ along with delivery to relevant disease cell types for downstream functional analysis. We demonstrate the successful and highly efficient assembly of a first-draft 119kb wild-type ‘assemblon’ covering the HTRA1/ARMS2 risk region. We further propose the parallelized assembly of a library of combinatorial variant synthetic haplotypes covering the region, delivery and analysis of which will identify functional sites and their effects, leading to an improved understanding of AMD development. We anticipate that the methodology proposed here is highly generalizable towards the difficult problem of identifying truly functional variants from those discovered via GWAS or other genetic association studies. Oxford University Press 2019-03 2019-01-22 /pmc/articles/PMC6432742/ /pubmed/30944767 http://dx.doi.org/10.1093/pcmedi/pby019 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of West China School of Medicine & West China Hospital of Sichuan University. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Laurent, Jon M
Fu, Xin
German, Sergei
Maurano, Matthew T
Zhang, Kang
Boeke, Jef D
Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title_full Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title_fullStr Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title_full_unstemmed Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title_short Big DNA as a tool to dissect an age-related macular degeneration-associated haplotype
title_sort big dna as a tool to dissect an age-related macular degeneration-associated haplotype
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6432742/
https://www.ncbi.nlm.nih.gov/pubmed/30944767
http://dx.doi.org/10.1093/pcmedi/pby019
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