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Explaining Missing Heritability Using Gaussian Process Regression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Screen and clean: a tool for identifying interactions in genome‐wide association studies
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Permutation Testing in the Presence of Polygenic Variation
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Monte Carlo Statistical Methods
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Gene–gene and gene–environment interactions in ulcerative colitis
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Costimulation: critical pathways in the immunologic regulation of asthma
inferredcites →https://doi.org/10.1016/0370-2693(91)90812-5openalex-snapshot
A generalized guided Monte Carlo algorithm
inferredcites →https://doi.org/10.1016/j.ajhg.2010.11.011openalex-snapshot
GCTA: A Tool for Genome-wide Complex Trait Analysis
inferredcites →https://doi.org/10.1016/j.ajhg.2011.11.029openalex-snapshot
Five Years of GWAS Discovery
inferredcites →https://doi.org/10.1016/j.ajhg.2012.10.010openalex-snapshot
Improved Heritability Estimation from Genome-wide SNPs
inferredcites →https://doi.org/10.1038/hdy.2012.35openalex-snapshot
Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters
inferredcites →https://doi.org/10.1038/nature08494openalex-snapshot
Finding the missing heritability of complex diseases
inferredcites →https://doi.org/10.1038/nature09792openalex-snapshot
Initial impact of the sequencing of the human genome
inferredcites →https://doi.org/10.1038/nature11867openalex-snapshot
Finding the sources of missing heritability in a yeast cross
inferredcites →https://doi.org/10.1038/ng.2310openalex-snapshot
Genome-wide efficient mixed-model analysis for association studies
inferredcites →https://doi.org/10.1038/ng.2520openalex-snapshot
Genome-wide association analysis identifies new susceptibility loci for Behçet's disease and epistasis between HLA-B*51 and ERAP1
inferredcites →https://doi.org/10.1038/ng.2644openalex-snapshot
Combined sequence-based and genetic mapping analysis of complex traits in outbred rats
inferredcites →https://doi.org/10.1038/ng.2667openalex-snapshot
Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci
inferredcites →https://doi.org/10.1038/ng.3513openalex-snapshot
A multiple-phenotype imputation method for genetic studies
inferredcites →https://doi.org/10.1038/ng.524openalex-snapshot
Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks
inferredcites →https://doi.org/10.1038/ng.608openalex-snapshot
Common SNPs explain a large proportion of the heritability for human height
inferredcites →https://doi.org/10.1038/ng0896-464openalex-snapshot
A genome screen in multiple sclerosis reveals susceptibility loci on chromosome 6p21 and 17q22
inferredcites →https://doi.org/10.1038/ng2110openalex-snapshot
Bayesian inference of epistatic interactions in case-control studies
inferredcites →https://doi.org/10.1038/nmeth.1681openalex-snapshot
FaST linear mixed models for genome-wide association studies
inferredcites →https://doi.org/10.1038/nrg2452openalex-snapshot
Epistasis — the essential role of gene interactions in the structure and evolution of genetic systems
inferredcites →https://doi.org/10.1038/nrg3627openalex-snapshot
Epistasis and quantitative traits: using model organisms to study gene–gene interactions
inferredcites →https://doi.org/10.1038/srep01099openalex-snapshot
An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data
inferredcites →https://doi.org/10.1073/pnas.0810388105openalex-snapshot
Genetic architecture of complex traits: Large phenotypic effects and pervasive epistasis
inferredcites →https://doi.org/10.1073/pnas.1119675109openalex-snapshot
The mystery of missing heritability: Genetic interactions create phantom heritability
inferredcites →https://doi.org/10.1086/321276openalex-snapshot
Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer
inferredcites →https://doi.org/10.1086/338759openalex-snapshot
A Perspective on Epistasis: Limits of Models Displaying No Main Effect
inferredcites →https://doi.org/10.1093/bioinformatics/btr218openalex-snapshot
Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs
inferredcites →https://doi.org/10.1096/fj.09-142265openalex-snapshot
Regulation of calcium signaling in dendritic cells by 1,25‐dihydroxyvitamin D 3
inferredcites →https://doi.org/10.1101/gr.172901openalex-snapshot
A Combinatorial Partitioning Method to Identify Multilocus Genotypic Partitions That Predict Quantitative Trait Variation
inferredcites →https://doi.org/10.1111/j.1467-9868.2010.00765.xopenalex-snapshot
Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
inferredcites →https://doi.org/10.1159/000073735openalex-snapshot
The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases
inferredcites →https://doi.org/10.1214/ss/1177011136openalex-snapshot
Inference from Iterative Simulation Using Multiple Sequences
inferredcites →https://doi.org/10.1371/journal.pgen.1003295openalex-snapshot
An Evolutionary Perspective on Epistasis and the Missing Heritability
inferredcites →https://doi.org/10.1371/journal.pgen.1003661openalex-snapshot
The Conditional Nature of Genetic Interactions: The Consequences of Wild-Type Backgrounds on Mutational Interactions in a Genome-Wide Modifier Screen
inferredcites →https://doi.org/10.1371/journal.pone.0026440openalex-snapshot
Differential Requirement for the CD45 Splicing Regulator hnRNPLL for Accumulation of NKT and Conventional T Cells
inferredcites →https://doi.org/10.1371/journal.pone.0033531openalex-snapshot
High-Order SNP Combinations Associated with Complex Diseases: Efficient Discovery, Statistical Power and Functional Interactions
inferredcites →https://doi.org/10.1371/journal.pone.0040032openalex-snapshot
CD28 Costimulation Regulates Genome-Wide Effects on Alternative Splicing
inferredcites →https://doi.org/10.1534/genetics.109.113688openalex-snapshot
Nonparametric Bayesian Variable Selection With Applications to Multiple Quantitative Trait Loci Mapping With Epistasis and Gene–Environment Interaction
inferredcites →https://doi.org/10.3835/plantgenome2011.08.0024openalex-snapshot
Ridge Regression and Other Kernels for Genomic Selection with R Package rrBLUP
inferredcites →https://doi.org/10.7551/mitpress/3206.001.0001openalex-snapshot
Gaussian Processes for Machine Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10142-025-01796-7openalex-snapshot
Precision breeding in a changing climate: unlocking resilience through omics and gene editing
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2017.04.061openalex-snapshot
Inference in the age of big data: Future perspectives on neuroscience
inferred← citeshttps://doi.org/10.1080/01621459.2017.1361830openalex-snapshot
Bayesian Approximate Kernel Regression With Variable Selection
inferred← citeshttps://doi.org/10.48550/arxiv.1608.03465openalex-snapshot
The Future of Data Analysis in the Neurosciences
inferred← citeshttps://doi.org/10.6084/m9.figshare.5325367openalex-snapshot
Bayesian Approximate Kernel Regression With Variable Selection
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