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Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The International HapMap Project
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Biological insights from 108 schizophrenia-associated genetic loci
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GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person
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Genetic correlation between amyotrophic lateral sclerosis and schizophrenia
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Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
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PRSice: Polygenic Risk Score software
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Multivariate Genome-wide and integrated transcriptome and epigenome-wide analyses of the Well-being spectrum
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Equivalence of LD-Score Regression and Individual-Level-Data Methods
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The accuracy of LD Score regression as an estimator of confounding and genetic correlations in genome-wide association studies
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Asymptotically distribution‐free methods for the analysis of covariance structures
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GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
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Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
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The p Factor
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Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia
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Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio
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What points at this work

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

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