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Chunk #10 — Materials & methods — Analysis in GWAS data of the effect of common variants with ΔF>0.10

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Dissecting ancestry genomic background in substance dependence genome-wide association studies.
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each ancestry group, applying the following equations: βMETA=(βYale-Penn∗WYale-Penn+βSAGE∗WSAGE)/(WYale-Penn+WSAGE) where βMETA, βYale–Penn and βSAGE are the β values in the meta-analysis, Yale–Penn and SAGE datasets, respectively. The meta-analyzed p-values were calculated using METAL software [34]. To estimate the effect of each tested variant with ΔF >0.10, we calculated the z-score according to the following equation: Z=([βMETA1-βMETA0]-[βMETA1-βMETA0]average)/(βMETA1-βMETA0)SD where META1 defined the meta-analyzed β values obtained from model B and META0 for the meta-analyzed parameter of model A. In accordance with Bonferroni correction for multiple testing, Z scores >|4.388| and |4.473| were considered significant in EAs and AAs, respectively.