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  • Lipid‐Related Genetic Varia...
    Rivera‐Íñiguez, Ingrid; González‐Becerra, Karina; Ramos‐Lopez, Omar; Peréz‐Beltrán, Yolanda E.; Chagüén‐Hernández, Marian S.; Martínez‐López, Erika; Mendivil, Edgar J.

    Molecular nutrition & food research, July 2023, 2023-Jul, 2023-07-00, 20230701, Volume: 67, Issue: 14
    Journal Article

    Dyslipidemias are known risk factors for chronic diseases. Precision nutrition interventions are designed according to characteristics, such as diet, phenotype, and genotype. This systematic review aims to define a panel of genetic variants associated with lipid abnormalities that could be later used in nutrigenetic intervention studies. A systematic review is conducted following the PRISMA‐P. Studies published from January 2010 to December 2020 in English language and humans are included from PubMed and ScienceDirect databases. Articles that demonstrate a strong association between polymorphisms (single nucleotide variation) of genes involved in lipid metabolism and increased risk for dyslipidemia are included. A total of 3031 articles are screened, but only 51 articles fulfill the inclusion criteria. The genes included are FABP2, MTTP related to CM synthesis and secretion; LPL, LIPC involved in triglyceride hydrolysis; CETP, APOA1, LCAT, ABCA1, and APOA5 related to lipoprotein metabolism, and APOE, LDLR, SCARB1, APOC3 involved in lipid clearance. In this systematic review, genetic variants related to chylomicron synthesis, triglyceride hydrolysis, lipoprotein metabolism, and lipid clearance demonstrate a strong association with lipid abnormalities, which can be used to design precision nutrition interventions that may help to prevent and treat dyslipidemia effectively. This systematic review highlights those genetic variants related to chylomicron synthesis and secretion (FABP2, MTTP), triglyceride hydrolysis (LPL, LIPC), lipoprotein metabolism (CETP, APOA1, LCAT, ABCA1, and APOA5), and lipid clearance (APOE, LDLR, SCARB1, APOC3) that increase the risk of cardiovascular diseases by altering lipid levels. This finding can be used to design precision nutrition interventions to prevent and treat dyslipidemia effectively.