Understanding Alzheimer Disease at the Interface between Genetics and Transcriptomics
Jan Verheijen,Kristel Sleegers
原文链接:
http://www.cell.com/trends/genetics/fulltext/S0168-9525(18)30042-8
原文摘要:
Due to risk gene pleiotropy, difficulty in finding functional variants, and poor reflection of physiological complexity in genetic analysis, translation of new genetic findings for Alzheimer disease (AD) into functional mechanisms has been difficult.
Transcriptomic analysis has provided additional support for previously identified risk genes while also identifying novel associated genes, helping to elucidate mechanisms of disease.
Refinement of transcriptomics through 2nd and 3rd generation sequencing, single-cell sequencing and bioinformatics is revealing mechanisms involved in AD in previously unattainable detail, including brain region- and cell-type-specific expression changes and molecular processes such as transcript rescue events, challenging the direct interpretation of an association between genetic variant and phenotype.
Transcriptome analysis in postmortem brain has uncovered central biological pathways and central regulator ‘hub’ genes in disease, for example, SPI.1 and TYROBP in the brain immune response.
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.