Literature DB >> 31169601

Genetic risk scores in lipid disorders.

Anthony S Wierzbicki1, Timothy M Reynolds2.   

Abstract

PURPOSE OF REVIEW: Extensive work has gone into understanding the genetics of cardiovascular disease (CVD) and implicating genes involved in hyperlipidaemia. Translation into routine practise involves using genetic risk scores (GRS) to identify high-risk individuals in the general population. Some of these risk scores are beginning to disentangle the complex nature of CVD and inherited dyslipidaemias. RECENT
FINDINGS: GRS of varying complexity have been used to identify high-risk groups of patients with polygenic CVD including some individuals with risk equivalent to monogenic disease. In phenotypic familial hypercholesterolaemia a six or 12 gene lipid GRS may identify polygenic cases that comprise up to 50% of cases. In high triglyceride syndromes including even cases of familial chylomicronaemia syndrome more than 80% of cases are polygenic and not even associated with rare variants. In both familial hypercholesterolaemia and familial chylomicronaemia syndrome individuals with polygenic disease have a lower risk than those with monogenic disease.
SUMMARY: GRS show promise in identifying individuals with high risks of CVD. They have a close relationship with imaging markers. It is unclear whether GRS, imaging or both will be used to identify individuals at high risk of future events.

Entities:  

Year:  2019        PMID: 31169601     DOI: 10.1097/HCO.0000000000000623

Source DB:  PubMed          Journal:  Curr Opin Cardiol        ISSN: 0268-4705            Impact factor:   2.161


  2 in total

Review 1.  Multifactorial Activation of NLRP3 Inflammasome: Relevance for a Precision Approach to Atherosclerotic Cardiovascular Risk and Disease.

Authors:  Andrea Baragetti; Alberico Luigi Catapano; Paolo Magni
Journal:  Int J Mol Sci       Date:  2020-06-23       Impact factor: 5.923

2.  GWAS findings improved genomic prediction accuracy of lipid profile traits: Tehran Cardiometabolic Genetic Study.

Authors:  Mahdi Akbarzadeh; Saeid Rasekhi Dehkordi; Mahmoud Amiri Roudbar; Mehdi Sargolzaei; Kamran Guity; Bahareh Sedaghati-Khayat; Parisa Riahi; Fereidoun Azizi; Maryam S Daneshpour
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

  2 in total

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