Publication
Title
Understanding Alzheimer disease at the interface between genetics and transcriptomics
Author
Abstract
Over 25 genes are known to affect the risk of developing Alzheimer disease (AD), the most common neurodegenerative dementia. However, mechanistic insights and improved disease management remains limited, due to difficulties in determining the functional consequences of genetic associations. Transcriptomics is increasingly being used to corroborate or enhance interpretation of genetic discoveries. These approaches, which include second and third generation sequencing, single-cell sequencing, and bioinformatics, reveal allele-specific events connecting AD risk genes to expression profiles, and provide converging evidence of pathophysiological pathways underlying AD. Simultaneously, they highlight brain region-and cell-type-specific expression patterns, and alternative splicing events that affect the straightforward relation between a genetic variant and AD, re-emphasizing the need for an integrated approach of genetics and transcriptomics in understanding AD.
Language
English
Source (journal)
Trends in genetics. - Amsterdam
Publication
London : Elsevier science london, 2018
ISSN
0168-9525
Volume/pages
34:6(2018), p. 434-447
ISI
000432679000004
Pubmed ID
29573818
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
VIB-Systems biology of pathways involving brain ageing (AgedBrainSYSBIO).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 12.06.2018
Last edited 02.08.2021
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