Literature DB >> 29300201

Polygenic influences on dyslipidemias.

Jacqueline S Dron, Robert A Hegele.   

Abstract

PURPOSE OF REVIEW: Rare large-effect genetic variants underlie monogenic dyslipidemias, whereas common small-effect genetic variants - single nucleotide polymorphisms (SNPs) - have modest influences on lipid traits. Over the past decade, these small-effect SNPs have been shown to cumulatively exert consistent effects on lipid phenotypes under a polygenic framework, which is the focus of this review. RECENT
FINDINGS: Several groups have reported polygenic risk scores assembled from lipid-associated SNPs, and have applied them to their respective phenotypes. For lipid traits in the normal population distribution, polygenic effects quantified by a score that integrates several common polymorphisms account for about 20-30% of genetic variation. Among individuals at the extremes of the distribution, that is, those with clinical dyslipidemia, the polygenic component includes both rare variants with large effects and common polymorphisms: depending on the trait, 20-50% of susceptibility can be accounted for by this assortment of genetic variants.
SUMMARY: Accounting for polygenic effects increases the numbers of dyslipidemic individuals who can be explained genetically, but a substantial proportion of susceptibility remains unexplained. Whether documenting the polygenic basis of dyslipidemia will affect outcomes in clinical trials or prospective observational studies remains to be determined.

Entities:  

Mesh:

Year:  2018        PMID: 29300201     DOI: 10.1097/MOL.0000000000000482

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  15 in total

1.  Do we measure or compute polygenic risk scores? Why language matters.

Authors:  Bart Penders; A Cecile J W Janssens
Journal:  Hum Genet       Date:  2021-02-15       Impact factor: 4.132

Review 2.  Translating genetic association of lipid levels for biological and clinical application.

Authors:  Bradley Crone; Amelia M Krause; Whitney E Hornsby; Cristen J Willer; Ida Surakka
Journal:  Cardiovasc Drugs Ther       Date:  2021-02-19       Impact factor: 3.947

3.  Functional polymorphisms of the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster are associated with dyslipidemia in a sex-specific pattern.

Authors:  Wei Bai; Changgui Kou; Lili Zhang; Yueyue You; Weiying Yu; Wanqing Hua; Yuanyuan Li; Yaqin Yu; Tiancheng Zhao; Yanhua Wu
Journal:  PeerJ       Date:  2019-01-04       Impact factor: 2.984

4.  Severe Combined Dyslipidemia With a Complex Genetic Basis.

Authors:  Ryan Le; Minan Abbas; Adam D McIntyre; Robert A Hegele
Journal:  J Investig Med High Impact Case Rep       Date:  2019 Jan-Dec

Review 5.  Genetics of Hypertriglyceridemia.

Authors:  Jacqueline S Dron; Robert A Hegele
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-24       Impact factor: 5.555

6.  Large-scale deletions of the ABCA1 gene in patients with hypoalphalipoproteinemia.

Authors:  Jacqueline S Dron; Jian Wang; Amanda J Berberich; Michael A Iacocca; Henian Cao; Ping Yang; Joan Knoll; Karine Tremblay; Diane Brisson; Christian Netzer; Ioanna Gouni-Berthold; Daniel Gaudet; Robert A Hegele
Journal:  J Lipid Res       Date:  2018-06-04       Impact factor: 5.922

7.  Clinical Utility and Practical Considerations of a Coronary Artery Disease Genetic Risk Score.

Authors:  Robin Liu; Jiahui Cheng; Carlos Muzlera; John F Robinson; Matthew R Ban; Robert A Hegele
Journal:  CJC Open       Date:  2019-03-29

8.  Genetic Determinants of Myocardial Infarction Risk in Familial Hypercholesterolemia.

Authors:  Pei Jun Zhao; Matthew R Ban; Michael A Iacocca; Adam D McIntyre; Jian Wang; Robert A Hegele
Journal:  CJC Open       Date:  2019-07-02

9.  Six years' experience with LipidSeq: clinical and research learnings from a hybrid, targeted sequencing panel for dyslipidemias.

Authors:  Jacqueline S Dron; Jian Wang; Adam D McIntyre; Michael A Iacocca; John F Robinson; Matthew R Ban; Henian Cao; Robert A Hegele
Journal:  BMC Med Genomics       Date:  2020-02-10       Impact factor: 3.063

10.  A polygenic biomarker to identify patients with severe hypercholesterolemia of polygenic origin.

Authors:  Luis G Leal; Clive Hoggart; Marjo-Riitta Jarvelin; Karl-Heinz Herzig; Michael J E Sternberg; Alessia David
Journal:  Mol Genet Genomic Med       Date:  2020-04-19       Impact factor: 2.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.