Genomics, epigenomics and pharmacogenomics of familial hypercholesterolemia (FHBGEP): A study protocol

Abstract

Background: Familial hypercholesterolemia (FH) is a genetic disease that affects millions of people worldwide.

Objectives: The study protocol FHBGEP was design to investigate the main genomic, epigenomic, and pharmacogenomic factors associated with FH and polygenic hypercholesterolemia (PH).

Methods: FH patients will be enrolled at six research centers in Brazil. An exon-targeted gene strategy will be used to sequence a panel of 84 genes related to FH, PH, pharmacogenomics and coronary artery disease. Variants in coding and regulatory regions will be identified using a proposed variant discovery pipeline and classified according to the American College Medical Genetics guidelines. Functional effects of variants in FH-related genes will be investigated by in vitro studies using lymphocytes and cell lines (HepG2, HUVEC and HEK293FT), CRISPR/Cas9 mutagenesis, luciferase reporter assay and other technologies. Functional studies in silico, such as molecular docking, molecular dynamics, and conformational analysis, will be used to explore the impact of novel variants on protein structure and function. DNA methylation profile and differential expression of circulating non-coding RNAs (miRNAs and lncRNAs) will be analyzed in FH patients and normolipidemic subjects (control group). The influence of genomic and epigenomic factors on metabolic and inflammatory status will be analyzed in FH patients. Pharmacogenomic studies will be conducted to investigate the influence of genomic and epigenomic factors on response to statins in FH patients.

Summary: The FHBGEP protocol has the potential to elucidate the genetic basis and molecular mechanisms involved in the pathophysiology of FH and PH, particularly in the Brazilian population. This pioneering approach includes genomic, epigenomic and functional studies, which results will contribute to the improvement of the diagnosis, prognosis and personalized therapy of FH patients.

Keywords: Epigenomics; Familial hypercholesterolemia; Genomics; Pharmacogenomics; Polygenic hypercholesterolemia.