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Multi-SKAT: General framework to test multiple phenotype associations of rare variants
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/gepi.21663openalex-snapshot
Multivariate Phenotype Association Analysis by Marker‐Set Kernel Machine Regression
inferredcites →https://doi.org/10.1002/gepi.21715openalex-snapshot
Kernel Machine SNP‐Set Testing Under Multiple Candidate Kernels
inferredcites →https://doi.org/10.1002/gepi.21895openalex-snapshot
Pleiotropy Analysis of Quantitative Traits at Gene Level by Multivariate Functional Linear Models
inferredcites →https://doi.org/10.1002/gepi.21937openalex-snapshot
USAT: A Unified Score‐Based Association Test for Multiple Phenotype‐Genotype Analysis
inferredcites →https://doi.org/10.1002/gepi.21945openalex-snapshot
Sequence Kernel Association Test of Multiple Continuous Phenotypes
inferredcites →https://doi.org/10.1002/gepi.22014openalex-snapshot
A comparison study of multivariate fixed models and Gene Association with Multiple Traits (GAMuT) for next‐generation sequencing
inferredcites →https://doi.org/10.1007/bf02834167openalex-snapshot
Elevated levels of amino acids in the CSF of motor neuron disease patients
inferredcites →https://doi.org/10.1016/j.ajhg.2011.05.029openalex-snapshot
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
inferredcites →https://doi.org/10.1016/j.ajhg.2011.10.004openalex-snapshot
Abundant Pleiotropy in Human Complex Diseases and Traits
inferredcites →https://doi.org/10.1016/j.ajhg.2014.03.016openalex-snapshot
Maximizing the Power of Principal-Component Analysis of Correlated Phenotypes in Genome-wide Association Studies
inferredcites →https://doi.org/10.1016/j.ajhg.2014.06.009openalex-snapshot
Rare-Variant Association Analysis: Study Designs and Statistical Tests
inferredcites →https://doi.org/10.1016/j.ajhg.2016.01.017openalex-snapshot
A Statistical Approach for Testing Cross-Phenotype Effects of Rare Variants
inferredcites →https://doi.org/10.1016/j.ajhg.2017.07.011openalex-snapshot
Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotations and Meta-analysis of Noncoding Variation in Metabochip Data
inferredcites →https://doi.org/10.1038/ejhg.2016.8openalex-snapshot
A method for analyzing multiple continuous phenotypes in rare variant association studies allowing for flexible correlations in variant effects
inferredcites →https://doi.org/10.1038/ng.2507openalex-snapshot
Exome array analysis identifies new loci and low-frequency variants influencing insulin processing and secretion
inferredcites →https://doi.org/10.1038/ng.3211openalex-snapshot
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
inferredcites →https://doi.org/10.1038/ng.3513openalex-snapshot
A multiple-phenotype imputation method for genetic studies
inferredcites →https://doi.org/10.1038/nmeth.2848openalex-snapshot
Efficient multivariate linear mixed model algorithms for genome-wide association studies
inferredcites →https://doi.org/10.1038/nrg3461openalex-snapshot
Pleiotropy in complex traits: challenges and strategies
inferredcites →https://doi.org/10.1093/bioinformatics/btq559openalex-snapshot
Robust relationship inference in genome-wide association studies
inferredcites →https://doi.org/10.1093/bioinformatics/btr116openalex-snapshot
PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies
inferredcites →https://doi.org/10.1093/biostatistics/kxs014openalex-snapshot
Optimal tests for rare variant effects in sequencing association studies
inferredcites →https://doi.org/10.1093/hmg/ddy067openalex-snapshot
Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study
inferredcites →https://doi.org/10.1101/gr.3709305openalex-snapshot
Calibrating a coalescent simulation of human genome sequence variation
inferredcites →https://doi.org/10.1111/j.1440-1754.2009.01626.xopenalex-snapshot
Pediatric Endocrinology and Inborn Errors of Metabolism
inferredcites →https://doi.org/10.1186/1746-4811-9-29openalex-snapshot
The advantages and limitations of trait analysis with GWAS: a review
inferredcites →https://doi.org/10.1371/journal.pgen.1002254openalex-snapshot
Pervasive Sharing of Genetic Effects in Autoimmune Disease
inferredcites →https://doi.org/10.1371/journal.pgen.1004729openalex-snapshot
Identification of Rare Causal Variants in Sequence-Based Studies: Methods and Applications to VPS13B, a Gene Involved in Cohen Syndrome and Autism
inferredcites →https://doi.org/10.1534/genetics.115.178590openalex-snapshot
Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method
inferredcites →https://doi.org/10.1534/genetics.116.199646openalex-snapshot
Powerful Genetic Association Analysis for Common or Rare Variants with High-Dimensional Structured Traits
inferredcites →https://doi.org/10.2165/00023210-200317090-00004openalex-snapshot
The Glutamatergic System and Alzheimer???s Disease
inferredcites →https://doi.org/10.2337/db11-1355openalex-snapshot
Metabolic Signatures of Insulin Resistance in 7,098 Young Adults
inferredcites →https://doi.org/10.2337/db12-0876openalex-snapshot
Genetic Variants Associated With Glycine Metabolism and Their Role in Insulin Sensitivity and Type 2 Diabetes
inferredcites →https://doi.org/10.2337/dc12-0895openalex-snapshot
Branched-Chain and Aromatic Amino Acids Are Predictors of Insulin Resistance in Young Adults
inferredcites →https://doi.org/10.4310/sii.2015.v8.n4.a8openalex-snapshot
Rare variant testing across methods and thresholds using the multi-kernel sequence kernel association test (MK-SKAT)
inferredcites →https://doi.org/10.48550/arxiv.1209.1341openalex-snapshot
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1101/373902openalex-snapshot
Fast and flexible linear mixed models for genome-wide genetics
inferred← citeshttps://doi.org/10.1371/journal.pgen.1007978openalex-snapshot
Fast and flexible linear mixed models for genome-wide genetics
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