Association Between Neurodegenerative Diseases and Autoimmune Diseases

132.1K

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84

authors

17

articles

Association Between Neurodegenerative Diseases and Autoimmune Diseases

132.1K

views

84

authors

17

articles

Editors

2

Harvard Medical School

Harbin Institute of Technology

Impact

About

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the two common neurodegenerative diseases in the elderly. In recent years, genetic studies especially genome-wide association studies (GWAS) have identified several AD and PD risk variants associated with the potential pathogenesis and genetic mechanisms of AD and PD. Until now, more than 30 risk loci that affect AD have been identified. However, these loci explain only a proportion of disease heritability. Hence, the majority of genetic risk remains to be further identified. In recent years, a growing number of studies have implicated the components of the immune system in promoting AD and PD.

In the post-GWAS era, the major challenge is to identify the genetic mechanisms shared in both neurodegenerative diseases and autoimmune diseases from multi-level omics data using system biology methods, which may expand our knowledge of the shared genetics in both neurodegenerative diseases and autoimmune diseases. Meanwhile, the existing large-scale GWAS datasets provide strong support for investigating the shared genetic variants or pathways shared in both neurodegenerative diseases and autoimmune diseases. In addition, the existing large-scale GWAS datasets provide strong support for investigating the potential causal association between neurodegenerative diseases and autoimmune diseases by a Mendelian randomization analysis.

This Research Topic welcomes reviews and original papers covering the genetic mechanisms in both neurodegenerative diseases and autoimmune diseases.

The subtopics include, but are not limited to:

• Genetics
• Genomics
• Next-generation sequencing
• Epigenomics
• Proteomics
• Metabolomics
• Integrative biology
• Meta-analysis
• Pathway analysis
• Mendelian randomization analysis

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the two common neurodegenerative diseases in the elderly. In recent years, genetic studies especially genome-wide association studies (GWAS) have identified several AD and PD risk variants associated with the potential pathogenesis and genetic mechanisms of AD and PD. Until now, more than 30 risk loci that affect AD have been identified. However, these loci explain only a proportion of disease heritability. Hence, the majority of genetic risk remains to be further identified. In recent years, a growing number of studies have implicated the components of the immune system in promoting AD and PD.

In the post-GWAS era, the major challenge is to identify the genetic mechanisms shared in both neurodegenerative diseases and autoimmune diseases from multi-level omics data using system biology methods, which may expand our knowledge of the shared genetics in both neurodegenerative diseases and autoimmune diseases. Meanwhile, the existing large-scale GWAS datasets provide strong support for investigating the shared genetic variants or pathways shared in both neurodegenerative diseases and autoimmune diseases. In addition, the existing large-scale GWAS datasets provide strong support for investigating the potential causal association between neurodegenerative diseases and autoimmune diseases by a Mendelian randomization analysis.

This Research Topic welcomes reviews and original papers covering the genetic mechanisms in both neurodegenerative diseases and autoimmune diseases.

The subtopics include, but are not limited to:

• Genetics
• Genomics
• Next-generation sequencing
• Epigenomics
• Proteomics
• Metabolomics
• Integrative biology
• Meta-analysis
• Pathway analysis
• Mendelian randomization analysis

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Editors

Harvard Medical School

Harbin Institute of Technology

Impact

132,075 Total views

103,131 Article views

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3,616 Topic views

Published In

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Frontiers in Neuroscience

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Frontiers in Genetics

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Frontiers in Neurology

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