Proportion of trait variation explained by Genome-by-Smoking interactions across all cohorts and sub-cohorts in each of the eight traits studied.

Amador, Carmen; Zeng, Yanni; Barber, Michael; Walker, Rosie M.; Campbell, Archie; McIntosh, Andrew M.; Evans, Kathryn L.; Porteous, David J.; Hayward, Caroline; Wilson, James F.; Navarro, Pau; Haley, Chris S.

doi:10.1371/journal.pgen.1009750.s002

pgen.1009750.s002.pdf (22.18 kB)

Proportion of trait variation explained by Genome-by-Smoking interactions across all cohorts and sub-cohorts in each of the eight traits studied.

journal contribution

posted on 2021-09-09, 17:30 authored by Carmen Amador, Yanni Zeng, Michael Barber, Rosie M. Walker, Archie Campbell, Andrew M. McIntosh, Kathryn L. Evans, David J. Porteous, Caroline Hayward, James F. Wilson, Pau Navarro, Chris S. Haley

The plot shows the proportion of trait variance (the bars represent standard errors) explained by the genome-by-smoking interaction (x-axis) in the mixed model analyses across cohorts (y-axis). Panels from top to bottom represent cohorts: Generation Scotland (GS), UK Biobank (UKB), UK Biobank females (UKB_F) and UK Biobank males (UKB_M). Blue coloured data points show sub-cohort results (GS18K and UKB subgroups G1-G4), green coloured data points show meta-analyses of the corresponding panel sub-cohorts.

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