ArticleQuantitative biology (Beijing, China)2021
Integrating brain imaging endophenotypes with GWAS for Alzheimer's disease.
Article in Quantitative biology (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline 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 imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- Risk factors underlying brain structure change rate in cognitive decline: Results from genomewide and phenomewide investigations.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Shared genetics and causal relationship between sociability and the brain's default mode network.Psychological medicine · 2025Article
- Causal relationships involving brain imaging-derived phenotypes based on UKB imaging cohort: a review of Mendelian randomization studies.Frontiers in neuroscience · 2024Review
- MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits.Human molecular genetics · 2023Article
- Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants.Bioinformatics (Oxford, England) · 2023Article
- Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model.PLoS genetics · 2021Article
- Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.PLoS computational biology · 2021Article
- Implicating causal brain imaging endophenotypes in Alzheimer's disease using multivariable IWAS and GWAS summary data.NeuroImage · 2020Article
Corrections and comments
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2 authors.
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Abstract
Background: Genome wide association studies (GWAS) have identified many genetic variants associated with increased risk of Alzheimer's disease (AD). These susceptibility loci may effect AD indirectly through a combination of physiological brain changes. Many of these neuropathologic features are detectable via magnetic resonance imaging (MRI). Methods: In this study, we examine the effects of such brain imaging derived phenotypes (IDPs) with genetic etiology on AD, using and comparing the following methods: two-sample Mendelian randomization (2SMR), generalized summary statistics based Mendelian randomization (GSMR), transcriptome wide association studies (TWAS) and the adaptive sum of powered score (aSPU) test. These methods do not require individual-level genotypic and phenotypic data but instead can rely only on an external reference panel and GWAS summary statistics. Results: Using publicly available GWAS datasets from the International Genomics of Alzheimer's Project (IGAP) and UK Biobank's (UKBB) brain imaging initiatives, we identify 35 IDPs possibly associated with AD, many of which have well established or biologically plausible links to the characteristic cognitive impairments of this neurodegenerative disease. Conclusions: Our results highlight the increased power for detecting genetic associations achieved by multiple correlated SNP-based methods,
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