Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income
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DOI：
10.1038/s41467-019-13585-5
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发表时间：
2019-12-16
影响因子：
16.6
通讯作者：
Deary, Ian J.
中科院分区：
文献类型：
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作者：
Hill, W. David;Davies, Neil M.;Deary, Ian J.
社会经济地位是一个反映(并影响)多种社会文化、物理和环境因素的多维结构。在来自英国生物库的286,301名参与者的样本中，我们发现了30个与收入相关的独立基因座(29个以前没有报道)。使用一种方法对遗传相关性状的数据进行荟萃分析，我们确定了另外120个与收入相关的基因座。这些基因座显示了明确的功能证据，在多个皮质组织中发现了转录差异，并与GABA能和5-羟色胺能神经传递有关。通过将我们对收入的全基因组关联研究与eQTL研究和染色质相互作用的数据相结合，24个基因被优先用于后续研究，其中18个基因以前与智力有关。我们将智力确定为可能的因果表型之一，部分可遗传的表型可能会在收入差异方面弥合分子遗传和表型结果之间的差距。这些结果表明，在现代英国，遗传效应导致了一些观察到的社会经济不平等。
Socioeconomic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. In a sample of 286,301 participants from UK Biobank, we identify 30 (29 previously unreported) independent-loci associated with income. Using a method to meta-analyze data from genetically-correlated traits, we identify an additional 120 income-associated loci. These loci show clear evidence of functionality, with transcriptional differences identified across multiple cortical tissues, and links to GABAergic and serotonergic neurotransmission. By combining our genome wide association study on income with data from eQTL studies and chromatin interactions, 24 genes are prioritized for follow up, 18 of which were previously associated with intelligence. We identify intelligence as one of the likely causal, partly-heritable phenotypes that might bridge the gap between molecular genetic inheritance and phenotypic consequence in terms of income differences. These results indicate that, in modern era Great Britain, genetic effects contribute towards some of the observed socioeconomic inequalities.