scholarly journals Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Xiaopu Zhou ◽  
Yu Chen ◽  
Fanny C. F. Ip ◽  
Nicole C. H. Lai ◽  
Yolanda Y. T. Li ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Chinese Population ◽  
Polygenic Risk Score ◽  
Polygenic Risk ◽  
Score Analysis

scholarly journals POLYGENIC RISK SCORE ANALYSIS OF ALZHEIMER’S DISEASE IN CASES WITHOUT APOE4 OR APOE2 ALLELES

2018 ◽  
pp. 1-4
Author(s):  
V. Escott-Price ◽  
A. Myers ◽  
M. Huentelman ◽  
M. Shoai ◽  
J. Hardy
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Clinical Trial Design ◽  
Polygenic Risk Score ◽  
Carrier Status ◽  
Predictive Utility ◽  
Polygenic Risk ◽  
Score Analysis ◽  
E4 Allele

The We and others have previously shown that polygenic risk score analysis (PRS) has considerable predictive utility for identifying those at high risk of developing Alzheimer’s disease (AD) with an area under the curve (AUC) of >0.8. However, by far the greatest determinant of this risk is the apolipoprotein E locus with the E4 allele alone giving an AUC of ~0.68 and the inclusion of the protective E2 allele increasing this to ~0.69 in a clinical cohort. An important question is to determine how good PRS is at predicting risk in those who do not carry the E4 allele (E3 homozygotes, E3E2 and E2E2) and in those who carry neither the E4 or E2 allele (i.e. E3 homozygotes). Previous studies have shown that PRS remains a significant predictor of AD risk in clinical cohorts after controlling for APOE ε4 carrier status. In this study we assess the accuracy of PRS prediction in a cohort of pathologically confirmed AD cases and controls. The exclusion of APOE4 carriers has surprisingly little effect on the PRS prediction accuracy (AUC ~0.83 [95% CI: 0.80-0.86]), and the accuracy remained higher than that in clinical cohorts with APOE included as a predictor. From a practical perspective this suggests that PRS analysis will have predictive utility even in E4 negative individuals and may be useful in clinical trial design.

P4-240: Using polygenic risk score to predict Alzheimer's disease

2015 ◽  
Vol 11 (7S_Part_19) ◽  
pp. P872-P872 ◽  
Author(s):  
Valentina Escott-Price ◽  
Rebecca Sims ◽  
Denise Harold ◽  
Maria Vronskaya ◽  
Peter Holmans ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Polygenic Risk

P3-077: ALZHEIMER'S DISEASE (AD) POLYGENIC RISK SCORE (PRS) AS A PREDICTOR OF CONVERSION FROM MILD COGNITIVE IMPAIRMENT (MCI)

2006 ◽  
Vol 14 (7S_Part_20) ◽  
pp. P1094-P1094
Author(s):  
Sultan Raja Chaudhury ◽  
Tulsi Patel ◽  
Abigail Fallows ◽  
Keeley J. Brookes ◽  
Tamar Guetta-Baranes ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Polygenic Risk

scholarly journals Use of an Alzheimer’s disease polygenic risk score to identify mild cognitive impairment in adults in their 50s

2018 ◽  
Vol 24 (3) ◽  
pp. 421-430 ◽  
Author(s):  
Mark W. Logue ◽  
Matthew S. Panizzon ◽  
Jeremy A. Elman ◽  
Nathan A. Gillespie ◽  
Sean N. Hatton ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Polygenic Risk

scholarly journals The Correlation between Inflammatory Biomarkers and Polygenic Risk Score in Alzheimer’s Disease

2017 ◽  
Vol 56 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Angharad R. Morgan ◽  
Samuel Touchard ◽  
Caroline O’Hagan ◽  
Rebecca Sims ◽  
Elisa Majounie ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Inflammatory Biomarkers ◽  
Polygenic Risk Score ◽  
Polygenic Risk

scholarly journals Liver-specific polygenic risk score is more strongly associated than genome-wide score with Alzheimer’s disease diagnosis in a case-control analysis

2021 ◽  
Author(s):  
Daniel J. Panyard ◽  
Yuetiva K. Deming ◽  
Burcu F. Darst ◽  
Carol A. Van Hulle ◽  
Kaj Blennow ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Functional Annotation ◽  
Disease Diagnosis ◽  
Genomic Research ◽  
Polygenic Risk Score ◽  
Control Analysis ◽  
Multiple Testing Correction ◽  
Polygenic Risk

AbstractAlthough our understanding of Alzheimer’s disease (AD) has greatly improved in recent years, the root cause remains unclear, making it difficult to find effective diagnosis and treatment options. Our understanding of the pathophysiology underlying AD has benefited from genomic analyses, including those that leverage polygenic risk score (PRS) models of disease. In many aspects of genomic research the use of functional annotation has been able to improve the power of genomic models. Here, we leveraged genomic functional annotations to build tissue-specific PRS models for 13 tissues and applied the scores to two longitudinal cohort studies of AD. The PRS model that was most predictive of AD diagnosis relative to cognitively unimpaired participants was the liver tissue score: n = 1,116; odds ratio (OR) (95% confidence interval [CI]) = 2.19 (1.70-2.82) per standard deviation (SD) increase in PRS; P = 1.46 × 10−9. After removing the APOE locus from the PRS models, the liver score was the only PRS to remain statistically significantly associated with AD diagnosis after multiple testing correction, although the effect was weaker: OR (95% CI) = 1.55 (1.19-2.02) per SD increase in PRS; P = 0.0012. In follow-up analysis, the liver PRS was statistically significantly associated with levels of amyloid (P = 3.53 × 10−6) and tau (P = 1.45 × 10−5) in the cerebrospinal fluid (CSF) (when the APOE locus was included) and nominally associated with CSF soluble TREM2 levels (P = 0.042) (when the APOE locus was excluded). These findings provide further evidence of the role of the liver-functional genome in AD and the benefits of incorporating functional annotation into genomic research.

scholarly journals A polygenic risk score for the prediction of Alzheimer's disease in rural‐dwelling older adults in China

2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Tingting Hou ◽  
Keke Liu ◽  
Cuicui Liu ◽  
Lin Cong ◽  
Yongxiang Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Risk Score ◽  
Polygenic Risk Score ◽  
Polygenic Risk
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