Large-scale whole genome sequence datasets offer novel opportunities to identify genetic variation
underlying human traits. Here we apply genotype imputation based on whole genome sequence
data from the UK10K and the 1000 Genomes Projects into 35,981 study participants of European
ancestry, followed by association analysis with twenty quantitative cardiometabolic and
hematologic traits. We describe 17 novel associations, including six rare (minor allele frequency
[MAF]<1%) or low frequency variants (1%<MAF<5%) with platelet count (PLT), red cell indices
(MCH, MCV) and high-density lipoprotein (HDL) cholesterol. Applying fine-mapping analysis to
233 known and novel loci associated with the twenty traits, we resolve associations of 59 loci to
credible sets of 20 or less variants, and describe trait enrichments within regions of predicted
regulatory function. These findings augment understanding of the allelic architecture of risk
factors for cardiometabolic and hematologic diseases, and provide additional functional insights
with the identification of potentially novel biological targets.