We carry out metabolomics analysis using two sets of data. First we use 1H NMR lipidomics data on plasma from a subset of 2,000 participants of the Airwave Health Monitoring Study74,75 (Supplementary Note). For each validated BP-associated SNV we ran association tests with the lipidomics data using linear regression analyses, adjusted for age and sex. We computed significance thresholds using a permutation derived family wise error rate (5%) to account for the high correlation structure of these data (ENT=35)76. We also test each validated SNV against published genome-wide vs metabolome-wide associations in plasma and urine using publicly available data from the “Metabolomics GWAS Server” to identify metabolites that have been associated with variants of interest at P < 3.0 x 10-4 (Bonferroni corrected P for validated signals)22,23.
