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Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis

https://doi.org/10.1101/016527
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471722073openalex-snapshot
Generalized, Linear, and Mixed Models
inferredcites →https://doi.org/10.1007/bf01066731openalex-snapshot
The investigation of linkage between a quantitative trait and a marker locus
inferredcites →https://doi.org/10.1007/s10288-005-0065-yopenalex-snapshot
Sensitivity of trust-region algorithms to their parameters
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.2011.02.002openalex-snapshot
Estimating Missing Heritability for Disease from Genome-wide Association Studies
inferredcites →https://doi.org/10.1016/j.ajhg.2012.10.010openalex-snapshot
Improved Heritability Estimation from Genome-wide SNPs
inferredcites →https://doi.org/10.1016/j.ajhg.2012.10.018openalex-snapshot
Differential Relationship of DNA Replication Timing to Different Forms of Human Mutation and Variation
inferredcites →https://doi.org/10.1016/j.ajhg.2013.03.010openalex-snapshot
Improving the Accuracy and Efficiency of Partitioning Heritability into the Contributions of Genomic Regions
inferredcites →https://doi.org/10.1016/j.ajhg.2013.10.015openalex-snapshot
Estimation of SNP Heritability from Dense Genotype Data
inferredcites →https://doi.org/10.1016/j.ajhg.2014.10.004openalex-snapshot
Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
inferredcites →https://doi.org/10.1016/j.ajhg.2014.12.021openalex-snapshot
Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies
inferredcites →https://doi.org/10.1016/j.ygeno.2011.04.005openalex-snapshot
Next generation genome-wide association tool: Design and coverage of a high-throughput European-optimized SNP array
inferredcites →https://doi.org/10.1016/s0024-3795(97)10009-xopenalex-snapshot
Monte Carlo estimates of the log determinant of large sparse matrices
inferredcites →https://doi.org/10.1016/s0140-6736(11)60874-xopenalex-snapshot
Identification of IL6R and chromosome 11q13.5 as risk loci for asthma
inferredcites →https://doi.org/10.1038/nature06258openalex-snapshot
A second generation human haplotype map of over 3.1 million SNPs
inferredcites →https://doi.org/10.1038/nature08185openalex-snapshot
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
inferredcites →https://doi.org/10.1038/nature13595openalex-snapshot
Biological insights from 108 schizophrenia-associated genetic loci
inferredcites →https://doi.org/10.1038/nature14177openalex-snapshot
Genetic studies of body mass index yield new insights for obesity biology
inferredcites →https://doi.org/10.1038/ncomms6890openalex-snapshot
Biological interpretation of genome-wide association studies using predicted gene functions
inferredcites →https://doi.org/10.1038/ng.1108openalex-snapshot
Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs
inferredcites →https://doi.org/10.1038/ng.2232openalex-snapshot
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis
inferredcites →https://doi.org/10.1038/ng.2376openalex-snapshot
A mixed-model approach for genome-wide association studies of correlated traits in structured populations
inferredcites →https://doi.org/10.1038/ng.2686openalex-snapshot
A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci
inferredcites →https://doi.org/10.1038/ng.2694openalex-snapshot
Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization
inferredcites →https://doi.org/10.1038/ng.2711openalex-snapshot
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
inferredcites →https://doi.org/10.1038/ng.2742openalex-snapshot
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
inferredcites →https://doi.org/10.1038/ng.2797openalex-snapshot
Discovery and refinement of loci associated with lipid levels
inferredcites →https://doi.org/10.1038/ng.2876openalex-snapshot
Advantages and pitfalls in the application of mixed-model association methods
inferredcites →https://doi.org/10.1038/ng.2897openalex-snapshot
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
inferredcites →https://doi.org/10.1038/ng.3097openalex-snapshot
Defining the role of common variation in the genomic and biological architecture of adult human height
inferredcites →https://doi.org/10.1038/ng.3190openalex-snapshot
Efficient Bayesian mixed-model analysis increases association power in large cohorts
inferredcites →https://doi.org/10.1038/ng.3404openalex-snapshot
Partitioning heritability by functional annotation using genome-wide association summary statistics
inferredcites →https://doi.org/10.1038/ng.3406openalex-snapshot
An atlas of genetic correlations across human diseases and traits
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/ng.823openalex-snapshot
Genome partitioning of genetic variation for complex traits using common SNPs
inferredcites →https://doi.org/10.1038/ng.940openalex-snapshot
Genome-wide association study identifies five new schizophrenia loci
inferredcites →https://doi.org/10.1038/nm.2670openalex-snapshot
Puzzling over schizophrenia: Schizophrenia as a pathway disease
inferredcites →https://doi.org/10.1038/nmeth.1681openalex-snapshot
FaST linear mixed models for genome-wide association 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/nrg3118openalex-snapshot
Rare and common variants: twenty arguments
inferredcites →https://doi.org/10.1051/gse:19940605openalex-snapshot
A reparameterization to improve numerical optimization in multivariate REML (co)variance component estimation
inferredcites →https://doi.org/10.1056/nejmp0806284openalex-snapshot
Common Genetic Variation and Human Traits
inferredcites →https://doi.org/10.1073/pnas.1322563111openalex-snapshot
Searching for missing heritability: Designing rare variant association studies
inferredcites →https://doi.org/10.1073/pnas.1419064111openalex-snapshot
Measuring missing heritability: Inferring the contribution of common variants
inferredcites →https://doi.org/10.1073/pnas.58.1.199openalex-snapshot
A polygenic theory of schizophrenia.
inferredcites →https://doi.org/10.1080/00949657708811858openalex-snapshot
The monte carlo newton-raphson algorithm
inferredcites →https://doi.org/10.1080/01621459.1990.10474930openalex-snapshot
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
inferredcites →https://doi.org/10.1080/01621459.1997.10473613openalex-snapshot
Maximum Likelihood Algorithms for Generalized Linear Mixed Models
inferredcites →https://doi.org/10.1080/01621459.1999.10473879openalex-snapshot
Parameter Expansion for Data Augmentation
inferredcites →https://doi.org/10.1093/bioinformatics/btq559openalex-snapshot
Robust relationship inference in genome-wide association studies
inferredcites →https://doi.org/10.1093/bioinformatics/bts474openalex-snapshot
Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood
inferredcites →https://doi.org/10.1093/bioinformatics/btt144openalex-snapshot
Improved ancestry inference using weights from external reference panels
inferredcites →https://doi.org/10.1093/bioinformatics/btt177openalex-snapshot
A powerful and efficient set test for genetic markers that handles confounders
inferredcites →https://doi.org/10.1093/biomet/58.3.545openalex-snapshot
Recovery of Inter-Block Information when Block Sizes are Unequal
inferredcites →https://doi.org/10.1101/018143openalex-snapshot
Fast principal components analysis reveals convergent evolution of ADH1B gene in Europe and East Asia
inferredcites →https://doi.org/10.1101/gr.143503.112openalex-snapshot
DNA-methylation effect on cotranscriptional splicing is dependent on GC architecture of the exon–intron structure
inferredcites →https://doi.org/10.1101/gr.169375.113openalex-snapshot
MultiBLUP: improved SNP-based prediction for complex traits
inferredcites →https://doi.org/10.1111/j.1439-0388.1992.tb00415.xopenalex-snapshot
Variance component estimation by resampling
inferredcites →https://doi.org/10.1111/j.1439-0388.2012.01000.xopenalex-snapshot
Employing a Monte Carlo algorithm in expectation maximization restricted maximum likelihood estimation of the linear mixed model
inferredcites →https://doi.org/10.1111/j.1469-1809.1965.tb00500.xopenalex-snapshot
The inheritance of liability to certain diseases, estimated from the incidence among relatives
inferredcites →https://doi.org/10.1111/j.1558-5646.1988.tb02514.xopenalex-snapshot
A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1137/s1052623499362822openalex-snapshot
A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations
inferredcites →https://doi.org/10.1145/192115.192124openalex-snapshot
Algorithm 733: TOMP–Fortran modules for optimal control calculations
inferredcites →https://doi.org/10.1186/1297-9686-26-6-537openalex-snapshot
A reparameterization to improve numerical optimization in multivariate REML (co)variance component estimation
inferredcites →https://doi.org/10.1186/1297-9686-32-2-143openalex-snapshot
The PX-EM algorithm for fast stable fitting of Henderson's mixed model
inferredcites →https://doi.org/10.1186/s13742-015-0047-8openalex-snapshot
Second-generation PLINK: rising to the challenge of larger and richer datasets
inferredcites →https://doi.org/10.1371/journal.pgen.1000471openalex-snapshot
Widespread Genomic Signatures of Natural Selection in Hominid Evolution
inferredcites →https://doi.org/10.1371/journal.pgen.1002637openalex-snapshot
Heritability and Genetic Correlations Explained by Common SNPs for Metabolic Syndrome Traits
inferredcites →https://doi.org/10.1371/journal.pgen.1002640openalex-snapshot
Population Structure of Hispanics in the United States: The Multi-Ethnic Study of Atherosclerosis
inferredcites →https://doi.org/10.1371/journal.pgen.1003264openalex-snapshot
Polygenic Modeling with Bayesian Sparse Linear Mixed Models
inferredcites →https://doi.org/10.1371/journal.pgen.1003993openalex-snapshot
Quantifying Missing Heritability at Known GWAS Loci
inferredcites →https://doi.org/10.1371/journal.pgen.1004269openalex-snapshot
Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples
inferredcites →https://doi.org/10.1371/journal.pgen.1004379openalex-snapshot
The Impact of Population Demography and Selection on the Genetic Architecture of Complex Traits
inferredcites →https://doi.org/10.1371/journal.pgen.1004663openalex-snapshot
Methylation QTLs Are Associated with Coordinated Changes in Transcription Factor Binding, Histone Modifications, and Gene Expression Levels
inferredcites →https://doi.org/10.1371/journal.pmed.0020141openalex-snapshot
A Systematic Review of the Prevalence of Schizophrenia
inferredcites →https://doi.org/10.1371/journal.pone.0080821openalex-snapshot
Employing a Monte Carlo Algorithm in Newton-Type Methods for Restricted Maximum Likelihood Estimation of Genetic Parameters
inferredcites →https://doi.org/10.1534/genetics.107.080101openalex-snapshot
Efficient Control of Population Structure in Model Organism Association Mapping
inferredcites →https://doi.org/10.1534/genetics.114.164285openalex-snapshot
Improving the Power of GWAS and Avoiding Confounding from Population Stratification with PC-Select
inferredcites →https://doi.org/10.1534/genetics.114.171017openalex-snapshot
A General Unified Framework to Assess the Sampling Variance of Heritability Estimates Using Pedigree or Marker-Based Relationships
inferredcites →https://doi.org/10.2307/2533274openalex-snapshot
Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models
inferredcites →https://doi.org/10.2527/jas1976.4361188xopenalex-snapshot
Multiple Trait Evaluation Using Relatives' Records
inferredcites →https://doi.org/10.3168/jds.2007-0403openalex-snapshot
Technical Note: Computing Strategies in Genome-Wide Selection
inferredcites →https://doi.org/10.3168/jds.2007-0980openalex-snapshot
Efficient Methods to Compute Genomic Predictions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.ajhg.2015.10.002openalex-snapshot
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets
inferred← citeshttps://doi.org/10.1016/j.ajhg.2016.05.013openalex-snapshot
Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data
inferred← citeshttps://doi.org/10.1038/s41467-018-04398-zopenalex-snapshot
Elucidating the genetic architecture of reproductive ageing in the Japanese population
inferred← citeshttps://doi.org/10.1038/srep27644openalex-snapshot
A method to estimate the contribution of regional genetic associations to complex traits from summary association statistics
inferred← citeshttps://doi.org/10.1073/pnas.1511370112openalex-snapshot
Reply to Lee: Downward bias in heritability estimation is not due to simplified linkage equilibrium SNP simulation
inferred← citeshttps://doi.org/10.1093/bioinformatics/btv546openalex-snapshot
Approximately independent linkage disequilibrium blocks in human populations
inferred← citeshttps://doi.org/10.1101/019885openalex-snapshot
Detection and interpretation of shared genetic influences on 40 human traits
inferred← citeshttps://doi.org/10.1101/022418openalex-snapshot
Haplotypes of common SNPs can explain missing heritability of complex diseases
inferred← citeshttps://doi.org/10.1101/027771openalex-snapshot
Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population
inferred← citeshttps://doi.org/10.1101/2022.10.24.513611openalex-snapshot
Novel estimators for family-based genome-wide association studies increase power and robustness
inferred← citeshttps://doi.org/10.1128/msystems.00040-23openalex-snapshot
A mixed-model approach for estimating drivers of microbiota community composition and differential taxonomic abundance
inferred← citeshttps://doi.org/10.1186/s12859-018-2057-xopenalex-snapshot
lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals
inferred← citeshttps://doi.org/10.1371/journal.pgen.1008612openalex-snapshot
Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model
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