ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2013
Exhaustive search of the SNP-sNP interactome identifies epistatic effects on brain volume in two cohorts.
Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Identification of genome-wide SNP-SNP interactions associated with important traits in chicken.BMC genomics · 2017Article
- Neuroimaging genetic risk for Alzheimer's disease in preclinical individuals: From candidate genes to polygenic approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2016Article
- Sparse models for correlative and integrative analysis of imaging and genetic data.Journal of neuroscience methods · 2014Review
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.Brain imaging and behavior · 2014Review
- Reprint of: Mapping connectivity in the developing brain.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2014Article
- Relation between variants in the neurotrophin receptor gene, NTRK3, and white matter integrity in healthy young adults.NeuroImage · 2013Article
- Mapping connectivity in the developing brain.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2013Article
- Multilocus genetic profiling to empower drug trials and predict brain atrophy.NeuroImage. Clinical · 2013Article
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Authors and funding
12 authors.
Funding
Abstract
The SNP-SNP interactome has rarely been explored in the context of neuroimaging genetics mainly due to the complexity of conducting approximately 10(11) pairwise statistical tests. However, recent advances in machine learning, specifically the iterative sure independence screening (SIS) method, have enabled the analysis of datasets where the number of predictors is much larger than the number of observations. Using an implementation of the SIS algorithm (called EPISIS), we used exhaustive search of the genome-wide, SNP-SNP interactome to identify and prioritize SNPs for interaction analysis. We identified a significant SNP pair, rs1345203 and rs1213205, associated with temporal lobe volume. We further examined the full-brain, voxelwise effects of the interaction in the ADNI dataset and separately in an independent dataset of healthy twins (QTIM). We found that each additional loading in the epistatic effect was associated with approximately 5% greater brain regional brain volume (a protective effect) in both the ADNI and QTIM samples.
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Registered trials
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