Chaudhury, S;
Patel, T;
Barber, IS;
Guetta-Baranes, T;
Brookes, KJ;
Chappell, S;
Turton, J;
... Morgan, K; + view all
(2018)
Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer's disease.
Neurobiology of Aging
, 62
244.e1-244.e8.
10.1016/j.neurobiolaging.2017.09.035.
Preview |
Text
Polygenic_AD_accepted.pdf - Accepted Version Download (320kB) | Preview |
Abstract
Sporadic early-onset Alzheimer's disease (sEOAD) exhibits the symptoms of late-onset Alzheimer's disease 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 (PRSs) 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 was genotyped on the NeuroX array, and PRSs were generated using PRSice. The target data set consisted of 408 sEOAD cases and 436 controls. The base data set was collated by the International Genomics of Alzheimer's Project consortium, with association data from 17,008 late-onset Alzheimer's disease cases and 37,154 controls, which can be used for identifying sEOAD cases due to having shared phenotype. PRSs were generated using all common single nucleotide polymorphisms between the base and target data set, PRS were also generated using only single nucleotide polymorphisms within a 500 kb 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 among 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.
| Type: | Article |
|---|---|
| Title: | Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer's disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neurobiolaging.2017.09.035 |
| Publisher version: | https://doi.org/10.1016/j.neurobiolaging.2017.09.0... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Geriatrics & Gerontology, Neurosciences, Neurosciences & Neurology, Polygenic risk score (PRS), Sporadic early-onset Alzheimer's disease (sEOAD), Genotyping, NeuroX, NeuroChip, Genetic Risk, Association, Prediction, Variants, Individuals, Population, Biomarkers, Americans, Dementia, Browser |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10046651 |
Archive Staff Only
 |
View Item |
