ArticleProceedings. IEEE International Symposium on Biomedical Imaging2015
Detecting Genetic Risk Factors for Alzheimer's Disease in Whole Genome Sequence Data via Lasso Screening.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 55 citations in OpenAlex.
- Association of genetic risk of Alzheimer's disease and cognitive function in two European populations.Scientific reports · 2025Article
- The informatics of ADNI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Targeted co-expression networks for the study of traits.Scientific reports · 2024Article
- FPLS-DC: functional partial least squares through distance covariance for imaging genetics.Bioinformatics (Oxford, England) · 2024Article
- Genome-wide association identifies novel ROP risk loci in a multiethnic cohort.Communications biology · 2024Article
- DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction.Genome medicine · 2023Article
- Article
- New insights into the role of fibroblast growth factors in Alzheimer's disease.Molecular biology reports · 2022Review
- Efficient feature extraction from highly sparse binary genotype data for cancer prognosis prediction using an auto-encoder.Frontiers in oncology · 2022Article
- Genome-wide association studies of brain imaging data via weighted distance correlation.Bioinformatics (Oxford, England) · 2020Article
- The Application of Artificial Intelligence in the Genetic Study of Alzheimer's Disease.Aging and disease · 2020Review
- Loss of Cav1.2 channels impairs hippocampal theta burst stimulation-induced long-term potentiation.Channels (Austin, Tex.) · 2020Article
- A Novel Three-Stage Framework for Association Analysis Between SNPs and Brain Regions.Frontiers in genetics · 2020Article
- Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.Bioinformatics (Oxford, England) · 2018Article
- PPARgamma agonists rescue increased phosphorylation of FGF14 at S226 in the Tg2576 mouse model of Alzheimer's disease.Experimental neurology · 2017Article
- Intracellular Fibroblast Growth Factor 14: Emerging Risk Factor for Brain Disorders.Frontiers in cellular neuroscience · 2017Review
- Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.NeuroImage · 2017Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Genetic factors play a key role in Alzheimer's disease (AD). The Alzheimer's Disease Neuroimaging Initiative (ADNI) whole genome sequence (WGS) data offers new power to investigate mechanisms of AD by combining entire genome sequences with neuroimaging and clinical data. Here we explore the ADNI WGS SNP (single nucleotide polymorphism) data in depth and extract approximately six million valid SNP features. We investigate imaging genetics associations using Lasso regression-a widely used sparse learning technique. To solve the large-scale Lasso problem more efficiently, we employ a highly efficient screening rule for Lasso-called dual polytope projections (DPP)-to remove irrelevant features from the optimization problem. Experiments demonstrate that the DPP can effectively identify irrelevant features and leads to a 400× speedup. This allows us for the first time to run the compute-intensive model selection procedure called stability selection to rank SNPs that may affect the brain and AD risk.
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Registered trials
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.