Associations with Cardiometabolic Traits

We evaluated each of the nine previously unreported loci that we detect here for association in prior adiponectin GWAS meta-analyses from ADIPOGen¹⁴ and AGEN¹⁹ and with other cardiometabolic traits and diseases. For these traits, we examined existing genome- and exome-wide meta-analysis results from consortia including GIANT (BMI²⁶ and waist-to-hip-ratio adjusted for BMI³⁶), GLGC (total cholesterol, HDL, LDL, and triglycerides),²⁵ T2D,²¹ and MAGIC (HbA1c, fasting insulin, fasting glucose, 2-hour glucose).^{37, 38, 39, 40} We also examined the UK Biobank for associations with cardiometabolic traits and diseases. In addition, PhenoScanner was used to perform a PheWAS on all available traits, plasma proteins, and metabolites. We report proteins and metabolites when the lead exome variant and the variant most strongly associated with the protein or metabolite within 1 Mb exhibit high pairwise LD (r² > 0.80). We did not identify any plasma proteins that met our criteria.