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Progress in the genetic analysis of Parkinson’s disease

Authors :
Yulin Jin
Matthew J Armstrong
Emily G. Allen
Peng Jin
Source :
Human Molecular Genetics. 28:R241-R253
Publication Year :
2019
Publisher :
Oxford University Press (OUP), 2019.

Abstract

The pace of genetic discovery in complex disease has accelerated exponentially over the last decade. Our fund of knowledge of the foundational genetics in disease has never been as great. There is a clear path forward to the resolution of the genetic architecture toward a point at which we will saturate the biological understanding of disease through genetics. This understanding continues to provide fundamental insights into disease biology and, with the advent of new data and methodologies, the path from gene to function is becoming clearer and cleaner. In this opinion piece, we discuss progress in the genetics of Parkinson disease. We explore what genetics has revealed thus far in the context of disease biology. We highlight mitophagy/autophagy, dopamine metabolism and the adaptive immune system. We try and link these findings together to give a holistic view of pathogenesis with the underlying theme that disease pathogenesis relates to a failure of damage response pathways. In the 1990s, Parkinson’s disease wa disorders and diseases. This review highlights recent advances in our understanding of the methylome's functionality and covers potential new roles for DNA methylation, their readers, writers, and erasers. Additionally, we examine novel insights into the relationship between the methylome, DNA–protein interactions, and their contribution to neurodegenerative diseases. Lastly, we outline the gaps in our knowledge that will likely be filled through the widespread use of newer technologies that provide greater resolution into how individual cell types are affected by disease and the contribution of each individual modification site to disease pathogenicity.

Details

ISSN :
14602083 and 09646906
Volume :
28
Database :
OpenAIRE
Journal :
Human Molecular Genetics
Accession number :
edsair.doi...........216a0c8090a959011d092b7765dc5b81