ArticleNeuroImage2012
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
Article in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.
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Who cites it
75 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores.Molecular neurodegeneration · 2023Pooled it
- Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers.Brain imaging and behavior · 2014Pooled it
- Article
- Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer's Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI).Diagnostics (Basel, Switzerland) · 2025Article
- Scoping the Landscape of Deep Learning for Alzheimer's Disease Stage Classification: Methods, Challenges, and Opportunities.BME frontiers · 2025Review
- PlgFormer: parallel extraction of local-global features for AD diagnosis on sMRI using a unified CNN-transformer architecture.Frontiers in neurology · 2025Article
- A multivariate to multivariate approach for voxel-wise genome-wide association analysis.Statistics in medicine · 2024Article
- Adenylyl cyclase 2 expression and function in neurological diseases.CNS neuroscience & therapeutics · 2024Review
- Statistical and Machine Learning Analysis in Brain-Imaging Genetics: A Review of Methods.Behavior genetics · 2024Review
- Neurogenetics of Brain Connectivity: Current Approaches to the Study (Review).Sovremennye tekhnologii v meditsine · 2024Review
- LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK.The annals of applied statistics · 2022Article
- Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2022Article
- Associating brain imaging phenotypes and genetic in Alzheimer's disease via JSCCA approach with autocorrelation constraints.Medical & biological engineering & computing · 2022Article
- Decoding Genetic Markers of Multiple Phenotypic Layers Through Biologically Constrained Genome-To-Phenome Bayesian Sparse Regression.Frontiers in molecular medicine · 2022Article
- Emerging evidence implicating a role for neurexins in neurodegenerative and neuropsychiatric disorders.Open biology · 2021Review
- Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!Computational and structural biotechnology journal · 2021Review
- L2RM: Low-rank Linear Regression Models for High-dimensional Matrix Responses.Journal of the American Statistical Association · 2020Article
- Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.IEEE transactions on medical imaging · 2020Article
- RBFOX1, encoding a splicing regulator, is a candidate gene for aggressive behavior.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2020Review
- Variants of the Aggression-RelatedFrontiers in psychiatry · 2020Article
15 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
Scanning the entire genome in search of variants related to imaging phenotypes holds great promise in elucidating the genetic etiology of neurodegenerative disorders. Here we discuss the application of a penalized multivariate model, sparse reduced-rank regression (sRRR), for the genome-wide detection of markers associated with voxel-wise longitudinal changes in the brain caused by Alzheimer's disease (AD). Using a sample from the Alzheimer's Disease Neuroimaging Initiative database, we performed three separate studies that each compared two groups of individuals to identify genes associated with disease development and progression. For each comparison we took a two-step approach: initially, using penalized linear discriminant analysis, we identified voxels that provide an imaging signature of the disease with high classification accuracy; then we used this multivariate biomarker as a phenotype in a genome-wide association study, carried out using sRRR. The genetic markers were ranked in order of importance of association to the phenotypes using a data re-sampling approach. Our findings confirmed the key role of the APOE and TOMM40 genes but also highlighted some novel potential associations with AD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.