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Pathological relationships involving iron and myelin may constitute a shared mechanism linking various rare and common brain diseases.

Rare diseases (Austin, Tex.)

Heidari M, Gerami SH, Bassett B, Graham RM, Chua AC, Aryal R, House MJ, Collingwood JF, Bettencourt C, Houlden H, Ryten M, Olynyk JK, Trinder D, Johnstone DM, Milward EA.
PMID: 27500074
Rare Dis. 2016 Jun 22;4(1):e1198458. doi: 10.1080/21675511.2016.1198458. eCollection 2016.

We previously demonstrated elevated brain iron levels in myelinated structures and associated cells in a hemochromatosis Hfe (-/-) xTfr2 (mut) mouse model. This was accompanied by altered expression of a group of myelin-related genes, including a suite of genes...

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Heidari M, Gerami SH, Bassett B, et al. Pathological relationships involving iron and myelin may constitute a shared mechanism linking various rare and common brain diseases. Rare Dis. 2016;4(1):e1198458doi: 10.1080/21675511.2016.1198458.
Heidari, M., Gerami, S. H., Bassett, B., Graham, R. M., Chua, A. C., Aryal, R., House, M. J., Collingwood, J. F., Bettencourt, C., Houlden, H., Ryten, M., Olynyk, J. K., Trinder, D., Johnstone, D. M., & Milward, E. A. (2016). Pathological relationships involving iron and myelin may constitute a shared mechanism linking various rare and common brain diseases. Rare diseases (Austin, Tex.), 4(1), e1198458. https://doi.org/10.1080/21675511.2016.1198458
Heidari, Moones, et al. "Pathological relationships involving iron and myelin may constitute a shared mechanism linking various rare and common brain diseases." Rare diseases (Austin, Tex.) vol. 4,1 (2016): e1198458. doi: https://doi.org/10.1080/21675511.2016.1198458
Heidari M, Gerami SH, Bassett B, Graham RM, Chua AC, Aryal R, House MJ, Collingwood JF, Bettencourt C, Houlden H, Ryten M, Olynyk JK, Trinder D, Johnstone DM, Milward EA. Pathological relationships involving iron and myelin may constitute a shared mechanism linking various rare and common brain diseases. Rare Dis. 2016 Jun 22;4(1):e1198458. doi: 10.1080/21675511.2016.1198458. eCollection 2016. PMID: 27500074; PMCID: PMC4961263.
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Genomics implicates adaptive and innate immunity in Alzheimer's and Parkinson's diseases.

Annals of clinical and translational neurology

Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, Weale ME.
PMID: 28097204
Ann Clin Transl Neurol. 2016 Nov 04;3(12):924-933. doi: 10.1002/acn3.369. eCollection 2016 Dec.

OBJECTIVES: We assessed the current genetic evidence for the involvement of various cell types and tissue types in the etiology of neurodegenerative diseases, especially in relation to the neuroinflammatory hypothesis of neurodegenerative diseases.METHODS: We obtained large-scale genome-wide association study...

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Gagliano SA, Pouget JG, Hardy J, et al. Genomics implicates adaptive and innate immunity in Alzheimer's and Parkinson's diseases. Ann Clin Transl Neurol. 2016;3(12):924-933doi: 10.1002/acn3.369.
Gagliano, S. A., Pouget, J. G., Hardy, J., Knight, J., Barnes, M. R., Ryten, M., & Weale, M. E. (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
Gagliano, Sarah A, et al. "Genomics implicates adaptive and innate immunity in Alzheimer's and Parkinson's diseases." Annals of clinical and translational neurology vol. 3,12 (2016): 924-933. doi: https://doi.org/10.1002/acn3.369
Gagliano SA, Pouget JG, Hardy J, Knight J, Barnes MR, Ryten M, Weale ME. Genomics implicates adaptive and innate immunity in Alzheimer's and Parkinson's diseases. Ann Clin Transl Neurol. 2016 Nov 04;3(12):924-933. doi: 10.1002/acn3.369. eCollection 2016 Dec. PMID: 28097204; PMCID: PMC5224821.
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Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets.

JAMA neurology

Kia DA, Zhang D, Guelfi S, Manzoni C, Hubbard L, Reynolds RH, Botía J, Ryten M, Ferrari R, Lewis PA, Williams N, Trabzuni D, Hardy J, Wood NW.
PMID: 33523105
JAMA Neurol. 2021 Apr 01;78(4):464-472. doi: 10.1001/jamaneurol.2020.5257.

IMPORTANCE: Substantial genome-wide association study (GWAS) work in Parkinson disease (PD) has led to the discovery of an increasing number of loci shown reliably to be associated with increased risk of disease. Improved understanding of the underlying genes and...

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Kia DA, Zhang D, Guelfi S, et al. Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA Neurol. 2021;78(4):464-472doi: 10.1001/jamaneurol.2020.5257.
Kia, D. A., Zhang, D., Guelfi, S., Manzoni, C., Hubbard, L., Reynolds, R. H., Botía, J., Ryten, M., Ferrari, R., Lewis, P. A., Williams, N., Trabzuni, D., Hardy, J., Wood, N. W. (2021). Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA neurology, 78(4), 464-472. https://doi.org/10.1001/jamaneurol.2020.5257
Kia, Demis A, et al. "Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets." JAMA neurology vol. 78,4 (2021): 464-472. doi: https://doi.org/10.1001/jamaneurol.2020.5257
Kia DA, Zhang D, Guelfi S, Manzoni C, Hubbard L, Reynolds RH, Botía J, Ryten M, Ferrari R, Lewis PA, Williams N, Trabzuni D, Hardy J, Wood NW. Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA Neurol. 2021 Apr 01;78(4):464-472. doi: 10.1001/jamaneurol.2020.5257. PMID: 33523105; PMCID: PMC7851759.
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Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets.

JAMA neurology

Kia DA, Zhang D, Guelfi S, Manzoni C, Hubbard L, Reynolds RH, Botía J, Ryten M, Ferrari R, Lewis PA, Williams N, Trabzuni D, Hardy J, Wood NW.
PMID: 33523105
JAMA Neurol. 2021 Apr 01;78(4):464-472. doi: 10.1001/jamaneurol.2020.5257.

IMPORTANCE: Substantial genome-wide association study (GWAS) work in Parkinson disease (PD) has led to the discovery of an increasing number of loci shown reliably to be associated with increased risk of disease. Improved understanding of the underlying genes and...

Cite
Kia DA, Zhang D, Guelfi S, et al. Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA Neurol. 2021;78(4):464-472doi: 10.1001/jamaneurol.2020.5257.
Kia, D. A., Zhang, D., Guelfi, S., Manzoni, C., Hubbard, L., Reynolds, R. H., Botía, J., Ryten, M., Ferrari, R., Lewis, P. A., Williams, N., Trabzuni, D., Hardy, J., Wood, N. W. (2021). Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA neurology, 78(4), 464-472. https://doi.org/10.1001/jamaneurol.2020.5257
Kia, Demis A, et al. "Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets." JAMA neurology vol. 78,4 (2021): 464-472. doi: https://doi.org/10.1001/jamaneurol.2020.5257
Kia DA, Zhang D, Guelfi S, Manzoni C, Hubbard L, Reynolds RH, Botía J, Ryten M, Ferrari R, Lewis PA, Williams N, Trabzuni D, Hardy J, Wood NW. Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data Sets. JAMA Neurol. 2021 Apr 01;78(4):464-472. doi: 10.1001/jamaneurol.2020.5257. PMID: 33523105; PMCID: PMC7851759.
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Showing 1 to 4 of 4 entries