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Genetic factors associated with combined familial hyperlipidemia

The principal objective of this project is to identify genes/SNPs associated with combined familial hyperlipidemia (CFH) in order to develop a genetic "score" factor for diagnostic or predictive purposes. A secondary objective is to identify specific genes/SNPs related to the cardiovascular risk factors characteristic of CFH (hypercholesterolemia, hypertriglyceridemia, hypertension and obesity), compare them with the CFH-related genes/SNPs, and assess all potential interactions between them. The proposed methodology is to review genome-wide association studies and use OpenArray technology to identify the SNPs associated with three cardiovascular risk factors --hyperlipidemia, arterial hypertension, and obesity-- in 5000 subjects, including 1000 patients with CHF, 1000 patients with hypertension, 1000 obese patients, 1000 healthy controls, and 1000 individuals from the general population. Statistical analysis of the genetic results will determine associations, interactions, and the predictive capacity of the SNPs studied. A "genetic score" will be developed to improve CHF diagnosis.

Description

The principal objective of this project is to identify genes/SNPs associated with combined familial hyperlipidemia (CFH) in order to develop a genetic "score" factor for diagnostic or predictive purposes. A secondary objective is to identify specific genes/SNPs related to the cardiovascular risk factors characteristic of CFH (hypercholesterolemia, hypertriglyceridemia, hypertension and obesity), compare them with the CFH-related genes/SNPs, and assess all potential interactions between them. The proposed methodology is to review genome-wide association studies and use OpenArray technology to identify the SNPs associated with three cardiovascular risk factors --hyperlipidemia, arterial hypertension, and obesity-- in 5000 subjects, including 1000 patients with CHF, 1000 patients with hypertension, 1000 obese patients, 1000 healthy controls, and 1000 individuals from the general population. Statistical analysis of the genetic results will determine associations, interactions, and the predictive capacity of the SNPs studied. A "genetic score" will be developed to improve CHF diagnosis.

Funders

Fondo de Investigaciones Sanitarias (FIS) - Instituto Carlos III

Número proyecto: PI13/02507

Financing

69.575,00 €

Date decision granting

2013

Start year

2013

End year

2016

Principal Investigator

Ana Cenarro

Participating groups

An initiative of

Ministerio de Economía y Competitividad Fondo Europeo de Desarrollo Regional IMIM - Parc de Salut Mar