Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University, Atlanta, GA, USA.
The Jackson Laboratory, Bar Harbor, ME, USA.
Transl Psychiatry. 2021 Feb 4;11(1):98. doi: 10.1038/s41398-021-01231-y.
Cross-species translational approaches to human genomic analyses are lacking. The present study uses an integrative framework to investigate how genes associated with nicotine use in model organisms contribute to the genetic architecture of human tobacco consumption. First, we created a model organism geneset by collecting results from five animal models of nicotine exposure (RNA expression changes in brain) and then tested the relevance of these genes and flanking genetic variation using genetic data from human cigarettes per day (UK BioBank N = 123,844; all European Ancestry). We tested three hypotheses: (1) DNA variation in, or around, the 'model organism geneset' will contribute to the heritability to human tobacco consumption, (2) that the model organism genes will be enriched for genes associated with human tobacco consumption, and (3) that a polygenic score based off our model organism geneset will predict tobacco consumption in the AddHealth sample (N = 1667; all European Ancestry). Our results suggested that: (1) model organism genes accounted for ~5-36% of the observed SNP-heritability in human tobacco consumption (enrichment: 1.60-31.45), (2) model organism genes, but not negative control genes, were enriched for the gene-based associations (MAGMA, H-MAGMA, SMultiXcan) for human cigarettes per day, and (3) polygenic scores based on our model organism geneset predicted cigarettes per day in an independent sample. Altogether, these findings highlight the advantages of using multiple species evidence to isolate genetic factors to better understand the etiological complexity of tobacco and other nicotine consumption.
跨物种的人类基因组分析转化方法尚不完善。本研究采用综合框架,研究与模型生物中尼古丁使用相关的基因如何影响人类烟草消费的遗传结构。首先,我们通过收集五个尼古丁暴露的动物模型(大脑中的 RNA 表达变化)的结果,创建了一个模型生物基因集,然后使用来自人类每天吸烟量(英国生物银行 N = 123844;全部欧洲血统)的遗传数据测试这些基因和侧翼遗传变异的相关性。我们测试了三个假设:(1)“模型生物基因集”中的 DNA 变异或周围的 DNA 变异将有助于人类烟草消费的遗传度,(2)模型生物基因将富集与人类烟草消费相关的基因,(3)基于我们的模型生物基因集的多基因评分将预测 AddHealth 样本中的烟草消费(N = 1667;全部欧洲血统)。我们的结果表明:(1)模型生物基因解释了人类烟草消费中 SNP 遗传度的 5-36%(富集度:1.60-31.45),(2)模型生物基因,而不是阴性对照基因,与人类每天吸烟量的基于基因的关联(MAGMA、H-MAGMA、SMultiXcan)富集,(3)基于我们的模型生物基因集的多基因评分可以预测独立样本中的每日吸烟量。总的来说,这些发现强调了使用多种物种证据来分离遗传因素以更好地理解烟草和其他尼古丁消费的病因复杂性的优势。