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Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease
The pathological features of Alzheimer’s Disease (AD) first appear in the medial temporal lobe and then in other brain structures with the development of the disease. In this work, we investigated the association between genetic loci and subcortical structure volumes of AD on 393 samples in the Alzh...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928939/ https://www.ncbi.nlm.nih.gov/pubmed/31775305 http://dx.doi.org/10.3390/ijms20235912 |
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author | Yuan, Shaoxun Li, Haitao Xie, Jianming Sun, Xiao |
author_facet | Yuan, Shaoxun Li, Haitao Xie, Jianming Sun, Xiao |
author_sort | Yuan, Shaoxun |
collection | PubMed |
description | The pathological features of Alzheimer’s Disease (AD) first appear in the medial temporal lobe and then in other brain structures with the development of the disease. In this work, we investigated the association between genetic loci and subcortical structure volumes of AD on 393 samples in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Brain subcortical structures were clustered into modules using Pearson’s correlation coefficient of volumes across all samples. Module volumes were used as quantitative traits to identify not only the main effect loci but also the interactive effect loci for each module. Thirty-five subcortical structures were clustered into five modules, each corresponding to a particular brain structure/area, including the limbic system (module I), the corpus callosum (module II), thalamus–cerebellum–brainstem–pallidum (module III), the basal ganglia neostriatum (module IV), and the ventricular system (module V). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results indicate that the gene annotations of the five modules were distinct, with few overlaps between different modules. We identified several main effect loci and interactive effect loci for each module. All these loci are related to the function of module structures and basic biological processes such as material transport and signal transduction. |
format | Online Article Text |
id | pubmed-6928939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69289392019-12-26 Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease Yuan, Shaoxun Li, Haitao Xie, Jianming Sun, Xiao Int J Mol Sci Article The pathological features of Alzheimer’s Disease (AD) first appear in the medial temporal lobe and then in other brain structures with the development of the disease. In this work, we investigated the association between genetic loci and subcortical structure volumes of AD on 393 samples in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort. Brain subcortical structures were clustered into modules using Pearson’s correlation coefficient of volumes across all samples. Module volumes were used as quantitative traits to identify not only the main effect loci but also the interactive effect loci for each module. Thirty-five subcortical structures were clustered into five modules, each corresponding to a particular brain structure/area, including the limbic system (module I), the corpus callosum (module II), thalamus–cerebellum–brainstem–pallidum (module III), the basal ganglia neostriatum (module IV), and the ventricular system (module V). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results indicate that the gene annotations of the five modules were distinct, with few overlaps between different modules. We identified several main effect loci and interactive effect loci for each module. All these loci are related to the function of module structures and basic biological processes such as material transport and signal transduction. MDPI 2019-11-25 /pmc/articles/PMC6928939/ /pubmed/31775305 http://dx.doi.org/10.3390/ijms20235912 Text en © 2019 by the authors. 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/). |
spellingShingle | Article Yuan, Shaoxun Li, Haitao Xie, Jianming Sun, Xiao Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title | Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title_full | Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title_fullStr | Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title_full_unstemmed | Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title_short | Quantitative Trait Module-Based Genetic Analysis of Alzheimer’s Disease |
title_sort | quantitative trait module-based genetic analysis of alzheimer’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928939/ https://www.ncbi.nlm.nih.gov/pubmed/31775305 http://dx.doi.org/10.3390/ijms20235912 |
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