Sultan Chaudhary
Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer’s disease
Chaudhary, Sultan; Patel, Tulsi; Barber, Imelda S.; Guetta-Baranes, Tamar; Brookes, Keeley; Chappell, Sally; Turton, James; Guerreiro, Rita; Bras, Jose; Hernandez, Dena; Singleton, Andrew; Hardy, John; Mann, David; Morgan, Kevin
Authors
Tulsi Patel
Imelda S. Barber
Tamar Guetta-Baranes
Keeley Brookes
Sally Chappell
James Turton
Rita Guerreiro
Jose Bras
Dena Hernandez
Andrew Singleton
John Hardy
David Mann
Kevin Morgan
Abstract
Sporadic early onset Alzheimer’s disease (sEOAD) exhibits the symptoms of late onset Alzheimer’s disease (LOAD) but lacks the familial aspect of the early onset familial form. The genetics of Alzheimer’s disease (AD) identifies APOEε4 to be the greatest risk factor; however, it is a complex disease involving both environmental risk factors and multiple genetic loci. Polygenic risk scores (PRS) accumulate the total risk of a phenotype in an individual based on variants present in their genome. We determined whether sEOAD cases had a higher PRS compared to controls. A cohort of sEOAD cases were genotyped on the NeuroX array and PRS were generated using PRSice. The target dataset consisted of 408 sEOAD cases and 436 controls. The base dataset was collated by the IGAP consortium, with association data from 17,008 LOAD cases and 37,154 controls, which can be used for identifying sEOAD cases due to having shared phenotype. PRS were generated using all common SNPs between the base and target dataset, PRS were also generated using only SNPs within a 500kb region surrounding the APOE gene. Sex and number of APOE ε2 or ε4 alleles were used as variables for logistic regression and combined with PRS. The results show that PRS is higher on average in sEOAD cases than controls, although there is still overlap amongst the whole cohort. Predictive ability of identifying cases and controls using PRSice was calculated with 72.9% accuracy, greater than the APOE locus alone (65.2%). Predictive ability was further improved with logistic regression, identifying cases and controls with 75.5% accuracy.
Citation
Chaudhary, S., Patel, T., Barber, I. S., Guetta-Baranes, T., Brookes, K., Chappell, S., Turton, J., Guerreiro, R., Bras, J., Hernandez, D., Singleton, A., Hardy, J., Mann, D., & Morgan, K. (2018). Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer’s disease. Neurobiology of Aging, 62, Article 244. https://doi.org/10.1016/j.neurobiolaging.2017.09.035
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 29, 2017 |
Online Publication Date | Oct 10, 2017 |
Publication Date | Feb 28, 2018 |
Deposit Date | Oct 3, 2017 |
Publicly Available Date | Oct 11, 2018 |
Journal | Neurobiology of Aging |
Print ISSN | 0197-4580 |
Electronic ISSN | 1558-1497 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 62 |
Article Number | 244 |
DOI | https://doi.org/10.1016/j.neurobiolaging.2017.09.035 |
Keywords | Polygenic risk score (PRS); Sporadic early-onset Alzheimer's disease (sEOAD); Genotyping; NeuroX; NeuroChip |
Public URL | https://nottingham-repository.worktribe.com/output/916893 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0197458017303408?via%3Dihub |
Contract Date | Oct 3, 2017 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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