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Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment

OBJECTIVE: This article investigates subjects aged 55 to 65 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to broaden our understanding of early-onset (EO) cognitive impairment using neuroimaging and genetics biomarkers. METHODS: Nine of the subjects had EO-AD (Alzheimer&#...

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Autores principales: Moon, Seok Woo, Dinov, Ivo D., Zamanyan, Alen, Shi, Ran, Genco, Alex, Hobel, Sam, Thompson, Paul M., Toga, Arthur W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neuropsychiatric Association 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310910/
https://www.ncbi.nlm.nih.gov/pubmed/25670955
http://dx.doi.org/10.4306/pi.2015.12.1.125
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author Moon, Seok Woo
Dinov, Ivo D.
Zamanyan, Alen
Shi, Ran
Genco, Alex
Hobel, Sam
Thompson, Paul M.
Toga, Arthur W.
author_facet Moon, Seok Woo
Dinov, Ivo D.
Zamanyan, Alen
Shi, Ran
Genco, Alex
Hobel, Sam
Thompson, Paul M.
Toga, Arthur W.
author_sort Moon, Seok Woo
collection PubMed
description OBJECTIVE: This article investigates subjects aged 55 to 65 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to broaden our understanding of early-onset (EO) cognitive impairment using neuroimaging and genetics biomarkers. METHODS: Nine of the subjects had EO-AD (Alzheimer's disease) and 27 had EO-MCI (mild cognitive impairment). The 15 most important neuroimaging markers were extracted with the Global Shape Analysis (GSA) Pipeline workflow. The 20 most significant single nucleotide polymorphisms (SNPs) were chosen and were associated with specific neuroimaging biomarkers. RESULTS: We identified associations between the neuroimaging phenotypes and genotypes for a total of 36 subjects. Our results for all the subjects taken together showed the most significant associations between rs7718456 and L_hippocampus (volume), and between rs7718456 and R_hippocampus (volume). For the 27 MCI subjects, we found the most significant associations between rs6446443 and R_superior_frontal_gyrus (volume), and between rs17029131 and L_Precuneus (volume). For the nine AD subjects, we found the most significant associations between rs16964473 and L_rectus gyrus (surface area), and between rs12972537 and L_rectus_gyrus (surface area). CONCLUSION: We observed significant correlations between the SNPs and the neuroimaging phenotypes in the 36 EO subjects in terms of neuroimaging genetics. However, larger sample sizes are needed to ensure that the effects will be detectable for a reasonable false-positive error rate using the GSA and Plink Pipeline workflows.
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spelling pubmed-43109102015-02-10 Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment Moon, Seok Woo Dinov, Ivo D. Zamanyan, Alen Shi, Ran Genco, Alex Hobel, Sam Thompson, Paul M. Toga, Arthur W. Psychiatry Investig Original Article OBJECTIVE: This article investigates subjects aged 55 to 65 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to broaden our understanding of early-onset (EO) cognitive impairment using neuroimaging and genetics biomarkers. METHODS: Nine of the subjects had EO-AD (Alzheimer's disease) and 27 had EO-MCI (mild cognitive impairment). The 15 most important neuroimaging markers were extracted with the Global Shape Analysis (GSA) Pipeline workflow. The 20 most significant single nucleotide polymorphisms (SNPs) were chosen and were associated with specific neuroimaging biomarkers. RESULTS: We identified associations between the neuroimaging phenotypes and genotypes for a total of 36 subjects. Our results for all the subjects taken together showed the most significant associations between rs7718456 and L_hippocampus (volume), and between rs7718456 and R_hippocampus (volume). For the 27 MCI subjects, we found the most significant associations between rs6446443 and R_superior_frontal_gyrus (volume), and between rs17029131 and L_Precuneus (volume). For the nine AD subjects, we found the most significant associations between rs16964473 and L_rectus gyrus (surface area), and between rs12972537 and L_rectus_gyrus (surface area). CONCLUSION: We observed significant correlations between the SNPs and the neuroimaging phenotypes in the 36 EO subjects in terms of neuroimaging genetics. However, larger sample sizes are needed to ensure that the effects will be detectable for a reasonable false-positive error rate using the GSA and Plink Pipeline workflows. Korean Neuropsychiatric Association 2015-01 2015-01-12 /pmc/articles/PMC4310910/ /pubmed/25670955 http://dx.doi.org/10.4306/pi.2015.12.1.125 Text en Copyright © 2015 Korean Neuropsychiatric Association http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Moon, Seok Woo
Dinov, Ivo D.
Zamanyan, Alen
Shi, Ran
Genco, Alex
Hobel, Sam
Thompson, Paul M.
Toga, Arthur W.
Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title_full Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title_fullStr Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title_full_unstemmed Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title_short Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment
title_sort gene interactions and structural brain change in early-onset alzheimer's disease subjects using the pipeline environment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310910/
https://www.ncbi.nlm.nih.gov/pubmed/25670955
http://dx.doi.org/10.4306/pi.2015.12.1.125
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