Supplemental Material for Hoffmann et al., 2018
datasetposted on 14.08.2018 by Thomas Hoffmann, Helene Choquet, Jie Yin, Yambazi Banda, Mark Kvale, Maria Glymour, Catherine Schaefer, Neil Risch, Eric Jjorgenson
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Table S1: Ancestry association. Table S2: BMI by ethnicity/nationality for GERA. Table S3: extended novel GERA results in the replication in GIANT. Table S4: Previously known BMI loci. Table S5: SNPs GWAS significant in the meta-analysis of GERA and GIANT. Table S6: Conditional SNPs. Table S7: Sex heterogeneity test. Table S8: Age heterogeneity test. Table S9: Credible sets. Table S10: BMI-associated variants annotation. Table S11:BMI x age pairwise heritability interactions. Figure S1: Age- and sex-adjusted BMI distribution in GERA ethnicity groups. Figure S2: BMI Manhattan and Q-Q plots. Figure S3: Locus plots. Figure S4: GIANT Manhattan imputed SNPs. Figure S5: Effect size comparisons amongst GERA, GIANT, and UKB. Figure S6: dominance Q-Q plot. Figure S7: Epistasis Q-Q plot. Figure S8: Sex effect size differences. Figure S9: sex effect size differences Q-Q plot. Figure S10: Age differences Q-Q plot.