Curr Opin Lipidol. 2018 Apr;29(2):133-143. doi: 10.1097/MOL.0000000000000482.
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.
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.
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.
目的综述:少数大型遗传变异可导致单基因血脂异常,而常见的小型遗传变异(单核苷酸多态性,SNP)对血脂特征仅有适度影响。在过去十年中,这些小型 SNP 已被证明在多基因框架下对血脂表型具有累积一致的影响,这是本综述的重点。
最新发现:一些小组已经报道了由与血脂相关的 SNP 组成的多基因风险评分,并将其应用于各自的表型。对于正常人群分布中的血脂特征,通过整合多种常见多态性的评分来量化的多基因效应,可解释约 20-30%的遗传变异。在分布极端的个体中,即患有临床血脂异常的个体中,多基因成分既包括具有较大效应的罕见变异,也包括常见的多态性:根据特征的不同,这种遗传变异组合可解释 20-50%的易感性。
总结:考虑多基因效应可增加可从遗传学上解释的血脂异常个体数量,但仍有相当一部分易感性无法解释。记录血脂异常的多基因基础是否会影响临床试验或前瞻性观察研究的结果,仍有待确定。