DOI: 10.1101/480459Nov 29, 2018Paper

Meta-analysis of Alzheimer's disease brain transcriptomic data

BioRxiv : the Preprint Server for Biology
Hamel PatelRichard J.B Dobson

Abstract

Background: Microarray technologies have identified imbalances in the expression of specific genes and biological pathways in Alzheimer's disease (AD) brains. However, there is a lack of reproducibility across individual AD studies, and many related neurogenerative and mental health disorders exhibit similar perturbations. We are yet to identify robust transcriptomic changes specific to AD brains. This study meta-analysed publicly available brain-related disorders along with healthy cognitive individuals to decipher common and AD-specific brain transcriptomic changes. Methods and Results: Twenty-two AD, eight Schizophrenia, five Bipolar Disorder, four Huntington's disease, two Major Depressive Disorder and one Parkinson's disease dataset totalling 2667 samples and mapping to four different brain regions (Temporal lobe, Frontal lobe, Parietal lobe and Cerebellum) were analysed. Differential expression analysis was performed independently in each dataset, followed by meta-analysis using a combining p-value method known as Adaptively Weighted with One-sided Correction. This identified 323, 435, 1023 and 828 differentially expressed genes specific to the AD temporal lobe, frontal lobe, parietal lobe and cerebellum brain regions res...Continue Reading

Related Concepts

Alzheimer's Disease
Antiviral Agents
Mental Disorders
Bipolar Disorder
Brain
Brain Diseases
Cerebellum
Mental Depression
Frontal Lobe
Genes

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