Nat Commun: Using polygenic risk scores to identify individuals at high risk of Alzheimer's disease

Alzheimer's disease (AD) is the most common type of dementia that mainly affects the elderly
.

AD, as a progressive disease, is clinically characterizedby the gradual development of the disease in the years before diagnosis

Alzheimer's disease (AD) is the most common type of dementia that mainly affects the elderly

Although about 35% of the lifetime risk of dementia can be improved through factors such as education, nutrition, medical care, etc.
, the prevalence of the disease is still gradually increasing as life span increases
.

In many genome-wide association studies ( GWAS ), it is mainly to compare clinically defined AD cases with individuals who are cognitively normal but not necessarily age-matched

GWAS

The polygenic risk score (PRS) of AD provides a potential possibility for reliable identification of high-risk and low-risk individuals with AD
.

However, what methods should be used in the calculation of genetic risk scores, how to simulate the impact of APOE, the determination of the optimal p-value threshold (pT) for SNP selection, and how to compare the scores between the two, still need further research..

The polygenic risk score (PRS) of AD provides a potential possibility for reliable identification of high-risk and low-risk individuals with AD

The influence of APOE allele frequency and age on genetic risk score

The influence of APOE allele frequency and age on genetic risk score

In this study, the researchers achieved the best prediction accuracy through a model with two predictors (APOE and PRS excluding APOE), where pT<0.
1 was used for SNP screening
.

The researchers found that the sample prediction accuracy of different PRS methods is similar, but the individual scores and their related rankings are different

The researchers achieved the best prediction accuracy through a model with two predictors (APOE and PRS excluding APOE), where pT<0.

Description of the PRS model

Description of the PRS model

All in all, the results of this study reveal the best strategy for polygenic analysis when assessing the risk of individual AD
.

The results of this study reveal the best strategy for polygenic analysis when assessing the risk of individual AD
.

The results of this study reveal the best strategy for polygenic analysis when assessing the risk of individual AD

Identifying individuals with high risk of Alzheimer's disease using polygenic risk scores.

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