ArticleJournal of Alzheimer's disease : JAD2015
Structural Neuroimaging Genetics Interactions in Alzheimer's Disease.
Article in Journal of Alzheimer's disease : JAD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- Molecular signatures of regional vulnerability to tauopathy in excitatory cortical neurons.Acta neuropathologica · 2025Article
- Cortical morphometric similarity patterns and molecular signatures across ischemic stroke recovery.Frontiers in neurology · 2025Article
- TOMM40 may mediate GFAP, neurofilament light Protein, pTau181, and brain morphometry in aging.Aging brain · 2025Article
- A splice acceptor variant in RGS6 associated with intellectual disability, microcephaly, and cataracts disproportionately promotes expression of a subset of RGS6 isoforms.Journal of human genetics · 2024Article
- Brain structure and allelic associations in Alzheimer's disease.CNS neuroscience & therapeutics · 2023Article
- AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning.Briefings in bioinformatics · 2023Article
- Integration of Imaging Genomics Data for the Study of Alzheimer's Disease Using Joint-Connectivity-Based Sparse Nonnegative Matrix Factorization.Journal of molecular neuroscience : MN · 2022Article
- APOE, TOMM40, and sex interactions on neural network connectivity.Neurobiology of aging · 2022Article
- Three-dimensional self-attention conditional GAN with spectral normalization for multimodal neuroimaging synthesis.Magnetic resonance in medicine · 2021Article
- Global and Regional Changes in Perivascular Space in Idiopathic and Familial Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2021Article
- Volumetric distribution of perivascular space in relation to mild cognitive impairment.Neurobiology of aging · 2021Article
- A TOMM40/APOE allele encoding APOE-E3 predicts high likelihood of late-onset Alzheimer's disease in autopsy cases.Molecular genetics & genomic medicine · 2020Article
- Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.IEEE journal of biomedical and health informatics · 2020Article
- Systems modeling of white matter microstructural abnormalities in Alzheimer's disease.NeuroImage. Clinical · 2020Article
- Imputation Strategy for Reliable Regional MRI Morphological Measurements.Neuroinformatics · 2020Article
- Bayesian GWAS with Structured and Non-Local Priors.Bioinformatics (Oxford, England) · 2020Article
- Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs.Frontiers in public health · 2020Article
- Regulator of G-protein signaling (RGS) proteins as drug targets: Progress and future potentials.The Journal of biological chemistry · 2019Review
- Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.Neuroinformatics · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
This article investigates late-onset cognitive impairment using neuroimaging and genetics biomarkers for Alzheimer's Disease Neuroimaging Initiative (ADNI) participants. Eight-hundred and eight ADNI subjects were identified and divided into three groups: 200 subjects with Alzheimer's disease (AD), 383 subjects with mild cognitive impairment (MCI), and 225 asymptomatic normal controls (NC). Their structural magnetic resonance imaging (MRI) data were parcellated using BrainParser, and the 80 most important neuroimaging biomarkers were extracted using the global shape analysis Pipeline workflow. Using Plink via the Pipeline environment, we obtained 80 SNPs highly-associated with the imaging biomarkers. In the AD cohort, rs2137962 was significantly associated bilaterally with changes in the hippocampi and the parahippocampal gyri, and rs1498853, rs288503, and rs288496 were associated with the left and right hippocampi, the right parahippocampal gyrus, and the left inferior temporal gyrus. In the MCI cohort, rs17028008 and rs17027976 were significantly associated with the right caudate and right fusiform gyrus, rs2075650 (TOMM40) was associated with the right caudate, and rs1334496 and rs4829605 were significantly associated with the right inferior temporal gyrus. In the NC cohort, Chromosome 15 [rs734854 (STOML1), rs11072463 (PML), rs4886844 (PML), and rs1052242 (PML)] was significantly associated with both hippocampi and both insular cortices, and rs4899412 (RGS6) was significantly associated with the caudate. We observed significant correlations between genetic and neuroimaging phenotypes in the 808 ADNI subjects. These results suggest that differences between AD, MCI, and NC cohorts may be examined by using powerful joint models of morphometric, imaging and genotypic data.
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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.