We investigate the shared genetic component between RG and other traits, including glycemic ones, by performing genetic correlation analysis using the bivariate LD score regression method (LDSC v1.0.0)91. To reduce multiple testing burden, only the GWAS results of the AS20 + AST20 model were used. We used GWAS summary statistics available in LDhub92 and the Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) website (https://www.magicinvestigators.org) for several traits including FG/FI64, HOMA-B/HOMA-IR93. In total, 228 different traits were included in the genetic correlation analysis with RG. We considered P ≤ 2.2 × 10−4 (Bonferroni correction for 228 traits) as the statistical significant level and P ≤ 0.05 as the nominal level.
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