多组学中介管道揭示了母亲snp影响新生儿肥胖结局的不同途径。

IF 2.5 Q3 GENETICS & HEREDITY
Nathan P Gill, Alan Kuang, Denise M Scholtens
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引用次数: 0

摘要

背景:大量先前的研究描述了母体代谢和遗传环境对新生儿肥胖结局的影响。然而,很多研究并没有同时关注这个问题的所有方面。关注代谢因素的研究可能无法区分母体和胎儿的遗传途径,而关注这些不同遗传途径的研究可能不会将代谢信息纳入影响估计或变异分类。在本文中,我们介绍了一种新的多组学管道,用于母体遗传变异选择和中介效应测试,可以处理所有这些途径,并利用它来研究母体遗传变异对新生儿肥胖结局的影响的广泛模式。结果:使用贝叶斯网络模型将代谢组学和基因组学数据合并到母体变异的初始过滤器中,这些变异可能通过直接的母体遗传效应、间接的胎儿遗传效应、母体代谢效应或这些途径的某种组合影响新生儿肥胖结局。然后,将中介模型拟合到这些候选变体和相关结果中,以确定哪些途径(如果有的话)调解了总体效果。然后,我们根据这三种影响途径的相对大小对母体遗传变异进行分组。在对HAPO研究中现有的母婴数据的应用中,我们发现78个候选变异中,大多数仅通过直接母体或间接胎儿遗传效应影响新生儿出生体重(分别为37%和40%),通过这两种遗传效应影响新生儿出生体重的数量较少(14%),完全通过母体代谢途径影响新生儿出生体重的相对较少(6%),几乎没有通过母体代谢途径与两种遗传途径中的任何一种结合影响新生儿出生体重(3%)。我们还发现,这些中介效应的总体模式在不同的结果中是相似的。结论:我们的研究结果揭示了母体遗传变异对新生儿肥胖影响的广泛模式,并确定了新的遗传位点和先前文献中已知的影响新生儿肥胖的基因位点。这些结果表明,我们的多组学中介管道具有科学发现的潜力,并且该方法广泛适用于解开现代集成多组学领域中特定路径的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-omics mediation pipeline reveals differential pathways of maternal SNPs affecting newborn adiposity outcomes.

Background: A great deal of previous research describes the impact of the maternal metabolic and genetic milieu on newborn adiposity outcomes. However, much of this research does not focus on all aspects of the problem simultaneously. Studies focusing on metabolic factors may not distinguish between maternal and fetal genetic pathways, while studies that do focus on these different genetic pathways may not incorporate metabolic information into effect estimates or variant classifications. In this paper, we introduce a novel multi-omics pipeline for maternal genetic variant selection and mediation effect testing that can handle all these pathways, and use it to investigate broad patterns in the effects of maternal genetic variants on newborn adiposity outcomes.

Results: A Bayesian network model is used to incorporate both metabolomic and genomic data into an initial filter for maternal variants likely to affect newborn adiposity outcomes through a direct maternal genetic effect, an indirect fetal genetic effect, a maternal metabolic effect, or some combination of these pathways. A mediation model is then fit to these candidate variants and associated outcomes to identify which of these pathways, if any, mediate the total effect. We then group maternal genetic variants according to the relative magnitudes of these three effect pathways. In an application to existing mother-newborn data from the HAPO study, we find that of 78 candidate variants, the majority influence newborn birthweight solely through either a direct maternal or indirect fetal genetic effect (37% and 40%, respectively), a smaller number through both of these (14%), relatively few exclusively through the maternal metabolic pathway (6%), and almost none through a combination of the maternal metabolic pathway with either of the two genetic pathways (3%). We also find that these overall patterns of mediation effects are similar across outcomes.

Conclusions: Our results reveal broad patterns in the effects of maternal genetic variants on newborn adiposity, and identify both new genetic loci and loci known from previous literature to influence newborn adiposity. These results demonstrate the potential for scientific discovery enabled by our multi-omics mediation pipeline, and the approach is broadly applicable for untangling path-specific contributions in the modern integrated multi-omics landscape.

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