Aging shapes the population-mean and -dispersion of gene expression in human brains

Human aging is associated with cognitive decline and an increased risk of neurodegenerative disease. Our objective for this study was to evaluate potential relationships between age and variation in gene expression across different regions of the brain. We analyzed the Genotype-Tissue Expression (GT...

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Main Authors: Candice Brinkmeyer-Langford, Jinting Guan, Guoli Ji, James Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-08-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00183/full
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spelling doaj-cf46d31ab5754ce68a305494005a79d82020-11-24T21:32:40ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652016-08-01810.3389/fnagi.2016.00183210556Aging shapes the population-mean and -dispersion of gene expression in human brainsCandice Brinkmeyer-Langford0Jinting Guan1Jinting Guan2Guoli Ji3Guoli Ji4James Cai5James Cai6Texas A&M UniversityTexas A&M UniversityXiamen UniversityXiamen UniversityXiamen UniversityTexas A&M UniversityTexas A&M UniversityHuman aging is associated with cognitive decline and an increased risk of neurodegenerative disease. Our objective for this study was to evaluate potential relationships between age and variation in gene expression across different regions of the brain. We analyzed the Genotype-Tissue Expression (GTEx) data from 54 and 101 tissue samples across 13 brain regions in post-mortem donors of European descent aged between 20 and 70 years at death. After accounting for the effects of covariates and hidden confounding factors, we identified 1,446 protein-coding genes whose expression in one or more brain regions is correlated with chronological age at a false discovery rate of 5%. These genes are involved in various biological processes including apoptosis, mRNA splicing, amino acid biosynthesis, and neurotransmitter transport. The distribution of these genes among brain regions is uneven, suggesting variable regional responses to aging. We also found that the aging response of many genes, e.g., TP37 and C1QA, depends on individuals’ genotypic backgrounds. Finally, using dispersion-specific analysis, we identified genes such as IL7R, MS4A4E, and TERF1/TERF2 whose expressions are differentially dispersed by aging, i.e., variances differ between age groups. Our results demonstrate that age-related gene expression is brain region-specific, genotype-dependent, and associated with both mean and dispersion changes. Our findings provide a foundation for more sophisticated gene expression modeling in the studies of age-related neurodegenerative diseases.http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00183/fullGene ExpressionGene Expression Profilingexpression quantitative trait lociFactor Analysis, Statisticalbrain transcriptomeexpression dispersion
collection DOAJ
language English
format Article
sources DOAJ
author Candice Brinkmeyer-Langford
Jinting Guan
Jinting Guan
Guoli Ji
Guoli Ji
James Cai
James Cai
spellingShingle Candice Brinkmeyer-Langford
Jinting Guan
Jinting Guan
Guoli Ji
Guoli Ji
James Cai
James Cai
Aging shapes the population-mean and -dispersion of gene expression in human brains
Frontiers in Aging Neuroscience
Gene Expression
Gene Expression Profiling
expression quantitative trait loci
Factor Analysis, Statistical
brain transcriptome
expression dispersion
author_facet Candice Brinkmeyer-Langford
Jinting Guan
Jinting Guan
Guoli Ji
Guoli Ji
James Cai
James Cai
author_sort Candice Brinkmeyer-Langford
title Aging shapes the population-mean and -dispersion of gene expression in human brains
title_short Aging shapes the population-mean and -dispersion of gene expression in human brains
title_full Aging shapes the population-mean and -dispersion of gene expression in human brains
title_fullStr Aging shapes the population-mean and -dispersion of gene expression in human brains
title_full_unstemmed Aging shapes the population-mean and -dispersion of gene expression in human brains
title_sort aging shapes the population-mean and -dispersion of gene expression in human brains
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2016-08-01
description Human aging is associated with cognitive decline and an increased risk of neurodegenerative disease. Our objective for this study was to evaluate potential relationships between age and variation in gene expression across different regions of the brain. We analyzed the Genotype-Tissue Expression (GTEx) data from 54 and 101 tissue samples across 13 brain regions in post-mortem donors of European descent aged between 20 and 70 years at death. After accounting for the effects of covariates and hidden confounding factors, we identified 1,446 protein-coding genes whose expression in one or more brain regions is correlated with chronological age at a false discovery rate of 5%. These genes are involved in various biological processes including apoptosis, mRNA splicing, amino acid biosynthesis, and neurotransmitter transport. The distribution of these genes among brain regions is uneven, suggesting variable regional responses to aging. We also found that the aging response of many genes, e.g., TP37 and C1QA, depends on individuals’ genotypic backgrounds. Finally, using dispersion-specific analysis, we identified genes such as IL7R, MS4A4E, and TERF1/TERF2 whose expressions are differentially dispersed by aging, i.e., variances differ between age groups. Our results demonstrate that age-related gene expression is brain region-specific, genotype-dependent, and associated with both mean and dispersion changes. Our findings provide a foundation for more sophisticated gene expression modeling in the studies of age-related neurodegenerative diseases.
topic Gene Expression
Gene Expression Profiling
expression quantitative trait loci
Factor Analysis, Statistical
brain transcriptome
expression dispersion
url http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00183/full
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