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Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases

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Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. / Gagliano, Sarah A.; Pouget, Jennie G.; Hardy, John et al.
In: Annals of Clinical and Translational Neurology, Vol. 3, No. 12, 12.2016, p. 924-933.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gagliano, SA, Pouget, JG, Hardy, J, Knight, J, Barnes, MR, Ryten, M & Weale, M 2016, 'Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases', Annals of Clinical and Translational Neurology, vol. 3, no. 12, pp. 924-933. https://doi.org/10.1002/acn3.369

APA

Gagliano, S. A., Pouget, J. G., Hardy, J., Knight, J., Barnes, M. R., Ryten, M., & Weale, M. (2016). Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Annals of Clinical and Translational Neurology, 3(12), 924-933. https://doi.org/10.1002/acn3.369

Vancouver

Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M et al. Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. Annals of Clinical and Translational Neurology. 2016 Dec;3(12):924-933. Epub 2016 Nov 4. doi: 10.1002/acn3.369

Author

Gagliano, Sarah A. ; Pouget, Jennie G. ; Hardy, John et al. / Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases. In: Annals of Clinical and Translational Neurology. 2016 ; Vol. 3, No. 12. pp. 924-933.

Bibtex

@article{f93c26a03e8b4b2f8eb5a4b1a927ed43,
title = "Genomics implicates adaptive and innate immunity in Alzheimer{\textquoteright}s and Parkinson{\textquoteright}s diseases",
abstract = "Objectives: We assessed the current genetic evidence for the involvement of various cell types and tissue types in the aetiology of neurodegenerative diseases, especially in relation to the neuroinflammatory hypothesis of neurodegenerative diseases.Methods: We obtained large-scale genome-wide association study (GWAS) summary statistics from Parkinson{\textquoteright}s disease (PD), Alzheimer{\textquoteright}s disease (AD), and amyotrophic lateral sclerosis (ALS). We used multiple sclerosis (MS), an autoimmune disease of the central nervous system, as a positive control. We applied stratified LD score regression to determine if functional marks for cell type and tissue activity, and gene set lists were enriched for genetic heritability. We compared our results tothose from two gene-set enrichment methods (Ingenuity Pathway Analysis and enrichr).Results: There were no significant heritability enrichments for annotations marking genes active within brain regions, but there were for annotations marking genes active within cell-types that form part of both the innate and adaptive immune systems. We found this for MS (as expected) and also for AD and PD. The strongest signals were from the adaptive immune system (e.g. T cells) for PD, and from both the adaptive (e.g. T cells) and innate (e.g. CD14: a marker for monocytes, and CD15:a marker for neutrophils) immune systems for AD. Annotations from the liver were also significant for AD. Pathway analysis provided complementary results.Interpretation: For Alzheimer{\textquoteright}s and Parkinson{\textquoteright}s disease, we found significant enrichment of heritability in annotations marking gene activity in immune cells.",
author = "Gagliano, {Sarah A.} and Pouget, {Jennie G.} and John Hardy and Jo Knight and Barnes, {Michael R.} and Mina Ryten and Mike Weale",
year = "2016",
month = dec,
doi = "10.1002/acn3.369",
language = "English",
volume = "3",
pages = "924--933",
journal = "Annals of Clinical and Translational Neurology",
publisher = "John Wiley and Sons Ltd",
number = "12",

}

RIS

TY - JOUR

T1 - Genomics implicates adaptive and innate immunity in Alzheimer’s and Parkinson’s diseases

AU - Gagliano, Sarah A.

AU - Pouget, Jennie G.

AU - Hardy, John

AU - Knight, Jo

AU - Barnes, Michael R.

AU - Ryten, Mina

AU - Weale, Mike

PY - 2016/12

Y1 - 2016/12

N2 - Objectives: We assessed the current genetic evidence for the involvement of various cell types and tissue types in the aetiology of neurodegenerative diseases, especially in relation to the neuroinflammatory hypothesis of neurodegenerative diseases.Methods: We obtained large-scale genome-wide association study (GWAS) summary statistics from Parkinson’s disease (PD), Alzheimer’s disease (AD), and amyotrophic lateral sclerosis (ALS). We used multiple sclerosis (MS), an autoimmune disease of the central nervous system, as a positive control. We applied stratified LD score regression to determine if functional marks for cell type and tissue activity, and gene set lists were enriched for genetic heritability. We compared our results tothose from two gene-set enrichment methods (Ingenuity Pathway Analysis and enrichr).Results: There were no significant heritability enrichments for annotations marking genes active within brain regions, but there were for annotations marking genes active within cell-types that form part of both the innate and adaptive immune systems. We found this for MS (as expected) and also for AD and PD. The strongest signals were from the adaptive immune system (e.g. T cells) for PD, and from both the adaptive (e.g. T cells) and innate (e.g. CD14: a marker for monocytes, and CD15:a marker for neutrophils) immune systems for AD. Annotations from the liver were also significant for AD. Pathway analysis provided complementary results.Interpretation: For Alzheimer’s and Parkinson’s disease, we found significant enrichment of heritability in annotations marking gene activity in immune cells.

AB - Objectives: We assessed the current genetic evidence for the involvement of various cell types and tissue types in the aetiology of neurodegenerative diseases, especially in relation to the neuroinflammatory hypothesis of neurodegenerative diseases.Methods: We obtained large-scale genome-wide association study (GWAS) summary statistics from Parkinson’s disease (PD), Alzheimer’s disease (AD), and amyotrophic lateral sclerosis (ALS). We used multiple sclerosis (MS), an autoimmune disease of the central nervous system, as a positive control. We applied stratified LD score regression to determine if functional marks for cell type and tissue activity, and gene set lists were enriched for genetic heritability. We compared our results tothose from two gene-set enrichment methods (Ingenuity Pathway Analysis and enrichr).Results: There were no significant heritability enrichments for annotations marking genes active within brain regions, but there were for annotations marking genes active within cell-types that form part of both the innate and adaptive immune systems. We found this for MS (as expected) and also for AD and PD. The strongest signals were from the adaptive immune system (e.g. T cells) for PD, and from both the adaptive (e.g. T cells) and innate (e.g. CD14: a marker for monocytes, and CD15:a marker for neutrophils) immune systems for AD. Annotations from the liver were also significant for AD. Pathway analysis provided complementary results.Interpretation: For Alzheimer’s and Parkinson’s disease, we found significant enrichment of heritability in annotations marking gene activity in immune cells.

U2 - 10.1002/acn3.369

DO - 10.1002/acn3.369

M3 - Journal article

VL - 3

SP - 924

EP - 933

JO - Annals of Clinical and Translational Neurology

JF - Annals of Clinical and Translational Neurology

IS - 12

ER -