Polygenic effects on the risk of Alzheimer’s disease in the Japanese population

Polygenic effects on the risk of Alzheimer’s disease in the Japanese population

Abstract Background Polygenic effects have been proposed to account for some disease phenotypes; these effects are calculated as a polygenic risk score (PRS). This score is correlated with Alzheimer’s disease (AD)-related phenotypes, such as biomarker abnormalities and brain atrophy, and is associat...

Full description

Bibliographic Details
Main Authors:	Masataka Kikuchi, Akinori Miyashita, Norikazu Hara, Kensaku Kasuga, Yuko Saito, Shigeo Murayama, Akiyoshi Kakita, Hiroyasu Akatsu, Kouichi Ozaki, Shumpei Niida, Ryozo Kuwano, Takeshi Iwatsubo, Akihiro Nakaya, Takeshi Ikeuchi, the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative
Format:	Article
Language:	English
Published:	BMC 2024-02-01
Series:	Alzheimer’s Research & Therapy
Subjects:	Polygenic risk score Alzheimer’s disease Mild cognitive impairment
Online Access:	https://doi.org/10.1186/s13195-024-01414-x

Similar Items

Brain Entropy Mapping in Healthy Aging and Alzheimer’s Disease
by: Ze Wang, et al.
Published: (2020-11-01)

Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease
by: Sepehr Golriz Khatami, et al.
Published: (2022-04-01)

Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies.
by: Masao Ueki, et al.
Published: (2019-01-01)

Imputation-Based Variable Selection Method for Block-Wise Missing Data When Integrating Multiple Longitudinal Studies
by: Zhongzhe Ouyang, et al.
Published: (2024-03-01)

Sex-dependent association of serum uric acid levels with amyloid accumulation among amyloid-positive older adults.
by: Guanan Zhao, et al.
Published: (2024-01-01)

Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis
by: Taesic Lee, et al.
Published: (2021-10-01)

A Novel Coupling Model of Physiological Degradation and Emotional State for Prediction of Alzheimer’s Disease Progression
by: Jiawei Yang, et al.
Published: (2022-08-01)

CSF TNF α levels were associated with conversion from mild cognitive impairment to dementia.
by: Pan Fu, et al.
Published: (2022-01-01)

Fast score test with global null estimation regardless of missing genotypes.
by: Shuntaro Sato, et al.
Published: (2018-01-01)

Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
by: Yeonwoo Chung, et al.
Published: (2021-07-01)

Random forest model for feature-based Alzheimer's disease conversion prediction from early mild cognitive impairment subjects.
by: Matthew Velazquez, et al.
Published: (2021-01-01)

Evaluating Alzheimer's disease progression using rate of regional hippocampal atrophy.
by: Edit Frankó, et al.
Published: (2013-01-01)

Effect of apolipoprotein E ε4 allele on the progression of cognitive decline in the early stage of Alzheimer's disease
by: Kazushi Suzuki, et al.
Published: (2020-01-01)

Revealing heterogeneity of brain imaging phenotypes in Alzheimer's disease based on unsupervised clustering of blood marker profiles.
by: Gerard Martí-Juan, et al.
Published: (2019-01-01)

Random forest prediction of Alzheimer's disease using pairwise selection from time series data
by: Moore, P, et al.
Published: (2019)

c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer’s disease
by: Sherlyn Jemimah, et al.
Published: (2023-10-01)

A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment
by: Harsh Bhasin, et al.
Published: (2020-02-01)

ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets
by: Yasamin Salimi, et al.
Published: (2022-05-01)

Identification of Alzheimer’s Disease on the Basis of a Voxel-Wise Approach
by: Iman Beheshti, et al.
Published: (2019-07-01)

Longitudinal analysis of brain structure using existence probability
by: Norihide Maikusa, et al.
Published: (2020-12-01)

Multiple phenotype association tests based on sliced inverse regression
by: Wenyuan Sun, et al.
Published: (2024-04-01)

Atrophy of hippocampal subfields relates to memory decline during the pathological progression of Alzheimer’s disease
by: Yaqiong Xiao, et al.
Published: (2023-12-01)

Development of quantitative and continuous measure for severity degree of Alzheimer’s disease evaluated from MRI images of 761 human brains
by: Sangyeol Kim, et al.
Published: (2022-08-01)

Early detection of Alzheimer’s disease using neuropsychological tests: a predict–diagnose approach using neural networks
by: Devarshi Mukherji, et al.
Published: (2022-09-01)

Integrative analysis of summary data from GWAS and eQTL studies implicates genes differentially expressed in Alzheimer’s disease
by: Brian Lee, et al.
Published: (2022-06-01)

DeepPVC: prediction of a partial volume-corrected map for brain positron emission tomography studies via a deep convolutional neural network
by: Keisuke Matsubara, et al.
Published: (2022-07-01)

Memory is preserved in older adults taking AT1 receptor blockers
by: Jean K. Ho, et al.
Published: (2017-04-01)

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
by: Asha Singanamalli, et al.
Published: (2017-08-01)

Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression
by: Palma, M, et al.
Published: (2020)

Impact of APOE-ε alleles on brain structure and cognitive function in healthy older adults: A VBM and DTI replication study.
by: Colleen Lacey, et al.
Published: (2024-01-01)

The Association among Hypothalamic Subnits, Gonadotropic and Sex Hormone Plasmas Levels in Alzheimer’s Disease
by: Edward Ofori, et al.
Published: (2024-03-01)

Uptake of 18F-AV45 in the Putamen Provides Additional Insights into Alzheimer’s Disease beyond the Cortex
by: Zhengshi Yang, et al.
Published: (2024-01-01)

Detection of Alzheimer’s Disease Using Logistic Regression and Clock Drawing Errors
by: Sophia Lazarova, et al.
Published: (2023-07-01)

Item-Level Scores on the Boston Naming Test as an Independent Predictor of Perirhinal Volume in Individuals with Mild Cognitive Impairment
by: Matteo De Marco, et al.
Published: (2023-05-01)

Random forest prediction of Alzheimer's disease using pairwise selection from time series data.
by: P J Moore, et al.
Published: (2019-01-01)

The trend of disruption in the functional brain network topology of Alzheimer’s disease
by: Alireza Fathian, et al.
Published: (2022-09-01)

Model-based stratification of progression along the Alzheimer disease continuum highlights the centrality of biomarker synergies
by: Muhammad Usman Sadiq, et al.
Published: (2022-01-01)

Using path signatures to predict a diagnosis of Alzheimer's disease.
by: P J Moore, et al.
Published: (2019-01-01)

Detection of gray matter microstructural changes in Alzheimer’s disease continuum using fiber orientation
by: Peter Lee, et al.
Published: (2020-10-01)

The Effect of the APOE Genotype on Individual BrainAGE in Normal Aging, Mild Cognitive Impairment, and Alzheimer's Disease.
by: Luise Christine Löwe, et al.
Published: (2016-01-01)