paperKB
coga / coga-kb
Processing
Help
Sign in

Chunk #12 — Materials and methods — PRS features

Source
Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach.
Embedded
yes

Text

were clumped based on linkage disequilibrium (LD) in the 1000 genomes EUR panel using PLINK 1.940, based on an R2 = 0.25, with a 500 kb window. SNPs were weighted using the negative log of the association p values. Scores were based on differing thresholds of GWAS p values (p < 0.0001, p < 0.001, p < 0.01, p < 0.05, p < 0.10, p < 0.20, p < 0.30, p < 0.40, p < 0.50). PRSs were converted to Z-scores for interpretation.