👤 Layla Abushamat

Although familial hypercholesterolemia (FH) is a US Centers for Disease Control and Prevention tier 1 condition for genetic testing, the impact of testing on clinical outcomes is unclear. We aimed to assess whether genetic testing alters lipid management in HeartCare participants. For participants with pathogenic/likely pathogenic variants for FH observed at Baylor College of Medicine cardiology clinics, data on laboratory values, medication prescriptions, and diagnoses were collected and compared before and after genetic testing. In the 20 participants with APOB/LDLR variants and complete data, low-density lipoprotein cholesterol (LDL-C) was numerically lower but not significantly different before vs after genetic testing (103 vs 79.5 mg/dL). Sixteen (80%) participants were from the lipid clinic; the majority had a preexisting FH diagnosis. LDL-C levels were numerically lower, and more patients received proprotein convertase subtilisin/kexin type 9 inhibitor prescriptions after genetic testing; however, the difference was not statistically significant. The majority of patients with FH achieved LDL-C <100 mg/dL after genetic testing; however, most patients with APOB/LDLR variants were from the lipid clinic and had been diagnosed with FH by clinical criteria. Show less

The pathways linking lipoprotein(a) (Lp[a]) to atherosclerotic cardiovascular disease (ASCVD) are unclear. This study aimed to discover Lp(a)-associated plasma proteins and estimate their associations with incident ASCVD. We analyzed 48,859 UK Biobank participants with measured Lp(a) and proteomic profiles, with replication in 9,416 individuals in the Atherosclerosis Risk in Communities (ARIC) study cohort utilizing a separate proteomic platform. Linear models assessed associations between Lp(a) and protein concentrations adjusted for age, sex, cigarette smoking, diabetes diagnosis, body mass index, systolic blood pressure, hypertension, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, triglycerides, estimated glomerular filtration rate, statin prescription, and the first 10 components of genetic ancestry. Multiple testing correction was performed using the Benjamini-Hochberg FDR method (P < 0.05). We examined how the protein effect sizes from the primary analysis using the outcome of Lp(a) aligned with those for the outcomes of an LPA genetic risk score (GRS) and LDL-C. Cox proportional hazards models quantified hazard ratios (HRs) for protein associations with incident ASCVD. Participants were a mean age of 57 years (SD 8.22), 93.9% European, and 53.8% male, with median follow-up of 8.9 years (IQR 8.3-9.7). Of 1,459 circulating proteins, 164 were significantly associated with Lp(a) after FDR correction, with enrichment for lipid degradation, metabolism, and insulin secretion. In the ARIC study, 10 proteins were replicated with consistent effect estimates. Of these replicated proteins, there were no significant associations observed with an Using high-throughput proteomics, we discovered and replicated 10 proteins associated with circulating Lp(a), several of which were independent of genetically-predicted Lp(a). While Lp(a) is highly heritable, these atherogenic proteins represent a non-heritable Lp(a) axis. Show less