Allelic Heterogeneity at the CRP Locus Identified by Whole-Genome Sequencing in Multi-ancestry Cohorts

Whole-genome sequencing (WGS) can improve assessment of low-frequency and rare variants, particularly in non-European populations that have been underrepresented in existing genomic studies. The genetic determinants of C-reactive protein (CRP), a biomarker of chronic inflammation, have been extensively studied, with existing genome-wide association studies (GWASs) conducted in >200,000 individuals of European ancestry. In order to discover novel loci associated with CRP levels, we examined a multi-ancestry population (n = 23,279) with WGS (∼38× coverage) from the Trans-Omics for Precision Medicine (TOPMed) program. We found evidence for eight distinct associations at the CRP locus, including two variants that have not been identified previously (rs11265259 and rs181704186), both of which are non-coding and more common in individuals of African ancestry (∼10% and ∼1% minor allele frequency, respectively, and rare or monomorphic in 1000 Genomes populations of East Asian, South Asian, and European ancestry). We show that the minor (G) allele of rs181704186 is associated with lower CRP levels and decreased transcriptional activity and protein binding in vitro, providing a plausible molecular mechanism for this African ancestry-specific signal. The individuals homozygous for rs181704186-G have a mean CRP level of 0.23 mg/L, in contrast to individuals heterozygous for rs181704186 with mean CRP of 2.97 mg/L and major allele homozygotes with mean CRP of 4.11 mg/L. This study demonstrates the utility of WGS in multi-ethnic populations to drive discovery of complex trait associations of large effect and to identify functional alleles in noncoding regulatory regions

Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program

The genetic determinants of fasting glucose (FG) and fasting insulin (FI) have been studied mostly through genome arrays, resulting in over 100 associated variants. We extended this work with high-coverage whole genome sequencing analyses from fifteen cohorts in NHLBI’s Trans-Omics for Precision Medicine (TOPMed) program. Over 23,000 non-diabetic individuals from five race-ethnicities/populations (African, Asian, European, Hispanic and Samoan) were included. Eight variants were significantly associated with FG or FI across previously identified regions MTNR1B, G6PC2, GCK, GCKR and FOXA2. We additionally characterize suggestive associations with FG or FI near previously identified SLC30A8, TCF7L2, and ADCY5 regions as well as APOB, PTPRT, and ROBO1. Functional annotation resources including the Diabetes Epigenome Atlas were compiled for each signal (chromatin states, annotation principal components, and others) to elucidate variant-to-function hypotheses. We provide a catalog of nucleotide-resolution genomic variation spanning intergenic and intronic regions creating a foundation for future sequencing-based investigations of glycemic traits

Identification of Sec36p, Sec37p, and Sec38p: Components of Yeast Complex That Contains Sec34p and Sec35p

The Saccharomyces cerevisiae proteins Sec34p and Sec35p are components of a large cytosolic complex involved in protein transport through the secretory pathway. Characterization of a new secretion mutant led us to identify SEC36, which encodes a new component of this complex. Sec36p binds to Sec34p and Sec35p, and mutation of SEC36 disrupts the complex, as determined by gel filtration. Missense mutations of SEC36 are lethal with mutations in COPI subunits, indicating a functional connection between the Sec34p/sec35p complex and the COPI vesicle coat. Affinity purification of proteins that bind to Sec35p-myc allowed identification of two additional proteins in the complex. We call these two conserved proteins Sec37p and Sec38p. Disruption of either SEC37 or SEC38 affects the size of the complex that contains Sec34p and Sec35p. We also examined COD4, COD5, and DOR1, three genes recently reported to encode proteins that bind to Sec35p. Each of the eight genes that encode components of the Sec34p/sec35p complex was tested for its contribution to cell growth, protein transport, and the integrity of the complex. These tests indicate two general types of subunits: Sec34p, Sec35p, Sec36p, and Sec38p seem to form the essential core of a complex to which Sec37p, Cod4p, Cod5p, and Dor1p seem to be peripherally attached