Research graph
References from Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let’s MAMBO!. Local targets link to admitted publications; unresolved targets remain external evidence.
Progress and promise in understanding the genetic basis of common diseases
10.1098/rspb.2015.1684 · 2015 · External reference
10.1176/appi.ajp.160.4.636
10.1176/appi.ajp.160.4.636 · External reference
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10.1016/j.biopsych.2016.12.030 · External reference
10.1038/s41586-018-0571-7
10.1038/s41586-018-0571-7 · External reference
Evaluating brain structure traits as endophenotypes using polygenicity and discoverability
2020 · External reference
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort
10.1016/j.neuroimage.2010.01.042 · 2010 · External reference
10.1016/j.neuroimage.2010.02.032
10.1016/j.neuroimage.2010.02.032 · External reference
Understanding the genetic determinants of the brain with MOSTest
2020 · External reference
10.3389/fgene.2020.00654
10.3389/fgene.2020.00654 · External reference
10.1002/gepi.21895
10.1002/gepi.21895 · External reference
10.1002/cjs.11487
10.1002/cjs.11487 · External reference
Brain Imaging Genomics: Integrated Analysis and Machine Learning
10.1109/jproc.2019.2947272 · 2020 · External reference
10.1016/j.neubiorev.2018.06.013
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Principal component analysis based methods in bioinformatics studies
10.1093/bib/bbq090 · 2011 · External reference
Unresolved reference
External reference
PCA-based multiple-trait GWAS analysis: A powerful model for exploring pleiotropy
10.3390/ani8120239 · 2018 · External reference
Multimodal principal component analysis to identify major features of white matter structure and links to reading
10.1371/journal.pone.0233244 · 2020 · External reference
10.1007/978-1-4471-5571-3_14
10.1007/978-1-4471-5571-3_14 · External reference
Unresolved reference
External reference
Association of GRM3 polymorphism with white matter integrity in schizophrenia
10.1016/j.schres.2014.03.003 · 2014 · External reference
A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer’s disease in the ADNI cohort
10.1016/j.neuroimage.2011.12.076 · 2012 · External reference
Imaging genomics discovery of a new risk variant for Alzheimer’s disease in the postsynaptic <scp>SHARPIN</scp> gene
10.1002/hbm.25083 · 2020 · External reference
Snowball ICA: A Model Order Free Independent Component Analysis Strategy for Functional Magnetic Resonance Imaging Data
2020 · External reference
10.1016/j.neuroimage.2013.05.041
10.1016/j.neuroimage.2013.05.041 · External reference
Unresolved reference
External reference
Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia
10.1109/tmi.2017.2725306 · 2018 · External reference
An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders
10.3389/fgene.2015.00276 · 2015 · External reference
10.1101/2020.02.03.930156
10.1101/2020.02.03.930156 · External reference
A technical review of canonical correlation analysis for neuroscience applications
10.1002/hbm.25090 · 2020 · External reference
10.1109/tbme.2019.2932895
10.1109/tbme.2019.2932895 · External reference
10.1109/tmi.2017.2721301
10.1109/tmi.2017.2721301 · External reference
10.1007/978-3-319-23344-4_27
10.1007/978-3-319-23344-4_27 · External reference
A multivariate test of association
10.1093/bioinformatics/btn563 · 2009 · External reference
10.1016/j.ajhg.2019.10.001
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10.1371/journal.pone.0034861
10.1371/journal.pone.0034861 · External reference
Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error
2019 · External reference
Multiple factor analysis (AFMULT package)
10.1016/0167-9473(94)90135-x · 1994 · External reference
Sparse multiple factor analysis to integrate genetic data, neuroimaging features, and attention-deficit/hyperactivity disorder domains
2018 · External reference
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics
10.1007/s12021-019-09416-z · 2019 · External reference
10.1101/2021.04.11.439381
10.1101/2021.04.11.439381 · External reference
Multivariate simulation framework reveals performance of multi-trait GWAS methods
10.1038/srep38837 · 2017 · External reference
A Fast Method for Estimating Statistical Power of Multivariate GWAS in Real Case Scenarios: Examples from the Field of Imaging Genetics
10.1007/s10519-018-9936-9 · 2019 · External reference
A new method for non-parametric multivariate analysis of variance
2001 · External reference
10.1073/pnas.0609333103
10.1073/pnas.0609333103 · External reference
10.1038/nrg2813
10.1038/nrg2813 · External reference
10.1038/ng.2376
10.1038/ng.2376 · External reference
10.1038/nmeth.2848
10.1038/nmeth.2848 · External reference
Efficient multiple-trait association and estimation of genetic correlation using the matrix-variate linear mixed model
10.1534/genetics.114.171447 · 2015 · External reference
10.1534/genetics.116.189712
10.1534/genetics.116.189712 · External reference
10.1038/nmeth.3439
10.1038/nmeth.3439 · External reference
10.1007/s10519-009-9281-0
10.1007/s10519-009-9281-0 · External reference
Regression Models for Multivariate Count Data
10.1080/10618600.2016.1154063 · 2017 · External reference
DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics
10.12688/f1000research.8900.2 · 2016 · External reference
Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies
10.3389/fgene.2012.00001 · 2012 · External reference
Generalized estimating equations for genome-wide association studies using longitudinal phenotype data
10.1002/sim.6323 · 2015 · External reference
Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data
10.1016/j.neuroimage.2014.03.061 · 2014 · External reference
Alzheimer’s Disease Neuroimaging Initiative. Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach
10.1016/j.neuroimage.2010.07.002 · 2010 · External reference
10.1016/j.neuroimage.2011.12.029
10.1016/j.neuroimage.2011.12.029 · External reference
10.1038/ng2088
10.1038/ng2088 · External reference
10.1371/journal.pone.0065245
10.1371/journal.pone.0065245 · External reference
PleioGRiP: genetic risk prediction with pleiotropy
10.1093/bioinformatics/btt081 · 2013 · External reference
10.1002/gepi.20359
10.1002/gepi.20359 · External reference
Bayesian Methods for Multivariate Modeling of Pleiotropic SNP Associations and Genetic Risk Prediction
10.3389/fgene.2012.00176 · 2012 · External reference
Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers
10.1080/01621459.2014.923775 · 2014 · External reference
Systematic meta-analyses of Alzheimer disease genetic association studies: The AlzGene database
10.1038/ng1934 · 2007 · External reference
10.1002/jmri.21049
10.1002/jmri.21049 · External reference
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies
10.1016/j.neuroimage.2017.01.052 · 2017 · External reference
A Bayesian group sparse multi-task regression model for imaging genetics
10.1093/bioinformatics/btx215 · 2017 · External reference
Bayesian Effect Estimation Accounting for Adjustment Uncertainty
10.1111/j.1541-0420.2011.01731.x · 2012 · External reference
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10.1038/nrg2615 · External reference
Bayesian computation: a summary of the current state, and samples backwards and forwards
10.1007/s11222-015-9574-5 · 2015 · External reference
The Uncovering Neurodegenerative Insights Through Ethnic Diversity consortium
10.1016/s1474-4422(19)30324-2 · 2019 · External reference
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
10.1038/s41398-020-0705-1 · 2020 · External reference
10.1038/s41586-018-0579-z
10.1038/s41586-018-0579-z · External reference
10.1016/j.neuroimage.2017.10.034
10.1016/j.neuroimage.2017.10.034 · External reference
10.1016/j.ajhg.2014.11.011
10.1016/j.ajhg.2014.11.011 · External reference
10.1093/bioinformatics/btw052
10.1093/bioinformatics/btw052 · External reference
10.1038/s41588-017-0009-4
10.1038/s41588-017-0009-4 · External reference
Integrate multiple traits to detect novel trait–gene association using GWAS summary data with an adaptive test approach
10.1093/bioinformatics/bty961 · 2019 · External reference
10.1093/brain/awz233
10.1093/brain/awz233 · External reference
Multi-trait genome-wide analyses of the brain imaging phenotypes in UK Biobank
10.1534/genetics.120.303242 · 2020 · External reference
Hippocampal transcriptome-wide association study and neurobiological pathway analysis for Alzheimer’s disease
10.1371/journal.pgen.1009363 · 2021 · External reference
10.1038/ng.3211
10.1038/ng.3211 · External reference
Longitudinal Analysis Is More Powerful than Cross-Sectional Analysis in Detecting Genetic Association with Neuroimaging Phenotypes
10.1371/journal.pone.0102312 · 2014 · External reference
The association between gene variants and longitudinal structural brain changes in psychosis: A systematic review of longitudinal neuroimaging genetics studies
10.1038/s41537-017-0036-2 · 2017 · External reference
Longitudinal Structural MRI Findings in Individuals at Genetic and Clinical High Risk for Psychosis: A Systematic Review
10.3389/fpsyt.2021.620401 · 2021 · External reference
10.3389/fpsyt.2020.00574
10.3389/fpsyt.2020.00574 · External reference
10.1016/j.biopsych.2018.04.017
10.1016/j.biopsych.2018.04.017 · External reference
Multi-omics approaches to disease
10.1186/s13059-017-1215-1 · 2017 · External reference
10.1177/1177932219899051
10.1177/1177932219899051 · External reference
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer’s disease
10.1016/j.nicl.2016.01.002 · 2016 · External reference
A selective review of multimodal fusion methods in schizophrenia
2012 · External reference
10.1016/j.neuroimage.2013.09.071
10.1016/j.neuroimage.2013.09.071 · External reference
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
10.1038/sdata.2016.44 · 2016 · External reference
The genetics-BIDS extension: Easing the search for genetic data associated with human brain imaging
10.1093/gigascience/giaa104 · 2020 · External reference
10.1007/978-3-319-67675-3_20
10.1007/978-3-319-67675-3_20 · External reference
Imaging epigenetics in Alzheimer’s disease
10.2174/13816128113199990370 · 2013 · External reference
Imaging Epigenetics in the Human Brain
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Alzheimer’s Disease Neuroimaging Initiative. Imaging proteomics for diagnosis, monitoring and prediction of Alzheimer’s disease
10.1016/j.neuroimage.2014.08.041 · 2014 · External reference
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10.1038/s41588-018-0271-0
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A Set-Based Mixed Effect Model for Gene-Environment Interaction and Its Application to Neuroimaging Phenotypes
10.3389/fnins.2017.00191 · 2017 · External reference
10.1146/annurev-psych-010416-044053
10.1146/annurev-psych-010416-044053 · External reference
10.1016/j.neuroimage.2015.01.029
10.1016/j.neuroimage.2015.01.029 · External reference
10.1007/s00406-018-0943-x
10.1007/s00406-018-0943-x · External reference
What contributes to individual differences in brain structure?
2014 · External reference
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning
10.1093/bioinformatics/bts228 · 2012 · External reference
10.1016/j.neurobiolaging.2018.04.009
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Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
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Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis
10.1002/hbm.24428 · 2019 · External reference
10.1038/s41380-020-0825-2
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