Simulation of model overfit in variance explained with genetic data
The paper demonstrates that a method for estimating heritability using GWAS and machine learning inflates effect sizes, as shown by simulations with random data.
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University of Illinois Urbana-ChampaignORCID 0000-0002-7352-9859Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
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The paper demonstrates that a method for estimating heritability using GWAS and machine learning inflates effect sizes, as shown by simulations with random data.
Richard Border, Andrew Smolen, Robin P. Corley…·Luke M. Evans
The paper imputes four VNTR polymorphisms and one modifying SNP into 486,551 UK Biobank individuals, enabling rigorous testing of their association with psychiatric phenotypes.
The paper identifies SNPs that explain a large portion of heritability in personality traits across three samples.
Joëlle A. Pasman, Karin J. H. Verweij, Zachary F. Gerring…·Jacqueline M. Vink
This study identifies 4 new risk loci for cannabis use through GWAS, finds genetic overlap with mental health, and shows a causal link between schizophrenia and cannabis use.
Aysu Okbay, Bart M. L. Baselmans, Jan-Emmanuel De Neve…·Social Science Genetic Association Consortium
The paper identifies genetic variants associated with subjective well-being, depressive symptoms, and neuroticism using genome-wide association studies and proxy-phenotype analyses.