adapted Figure Facts template _Round and Campbell 2013_

Author/Year: Audrey Luo, Falk W. Lohoff/ 2019 Study question: How does excessive drinking affect biomarkers used to predict epigenetic age? Figure H: Based on the graph’s heading , what is the hypothesis ? A: What do the axes of the graph represent? L: What does the legend tell us about the graph T: What are the scientists changing in this experiment? What can we conclude from the data? Figure 1 Epigenetic age acceleration in AUD. - x-axis: AUD levels. - y-axis: Levine DNAm acceleration and age levels. - Symbols and colors representing AUD & HC. - Error bars representing variability - Explains the dependent and independent variable. Levine DNAm acceleration and age levels, are changing in this experiment. There is a correlation between AUD and Levine DNAm PhenoAge Figure 2 Manhattan plot shows the meta- analysis P -values combining the results of EA and AA AUD GWAS based on a fixed effect model using weight of inverse variance. - y-axis: reports log transformed meta P- values. - The horizontal dashed line corresponds to the genome-wide association threshold - All SNPs in APOL2 were colored with red. EA and AA studies comprised of 154 AUD EA and 156 AUD AA individuals. transformed meta P-values in chromosomes. APOL2 is identified by GWAS of EAA Figure 3 Regional association plot of APOL2 associate d with epigenetic age acceleration. - The y - axis shows the log- transformed meta-analysis P - value. The colors represent linkage disequilibrium (LD) R 2 . Epigenetic age acceleration is changing in log- transformed meta-analysis. APOL2 is associated with epigenetic age acceleration. Figure 4 Association of rs916264 genotype with APOL2 mRNA exon specific expression in the 10 - The x - axis describes the genotype group of rs916264 - HIPP stands for hippocampus - WHMT for intralobular Measurements of AA, AC, and CC may vary when AA, AC, and CC would have error bars which