Clustering of variant-trait associations was performed for 31 genetic variants reaching nominal significance association with proportion fat intake and 22 nutritional traits derived from GWAS using the Bayesian nonnegative matrix factorization clustering algorithm, with identification of two clusters present on 80% of iterations. Loci and traits defining each cluster were based on a cut-off of weighting of 0.94 (Methods). a) trait association to cluster, b) loci association to cluster: 1 NEGR1, RARB, RP11.161I6.2, RP11.22P4.1, TMEM108. Cluster 2: ADH1A, DNMT3A, FGF21, FUT1, FUT2, GCKR, KLB, PLEKHM1, PPP1R3B, RP11.696N14.1, TSPAN5.