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单倍型而非单个因果变异效应有助于人类髓系细胞中的调控基因表达关联。

Haplotype rather than single causal variants effects contribute to regulatory gene expression associations in human myeloid cells.

作者信息

Greenwood Emily, Cao Mingming, Lee Ciaran M, Liu Aidi, Moyo Buhle, Bao Gang, Gibson Greg

机构信息

School of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.

Department of Bioengineering, Rice University, Houston TX 77005, USA.

出版信息

bioRxiv. 2025 Jan 30:2025.01.30.635675. doi: 10.1101/2025.01.30.635675.

Abstract

Genome-wide association studies typically identify hundreds to thousands of loci, many of which harbor multiple independent peaks, each parsimoniously assumed to be due to the activity of a single causal variant. Fine-mapping of such variants has become a priority and since most associations are located within regulatory regions, it is also assumed that they colocalize with regulatory variants that influence the expression of nearby genes. Here we examine these assumptions by using a moderate throughput expression CROPseq protocol in which Cas9 nuclease is used to induce small insertions and deletions across the credible set of SNPs that may account for expression quantitative trait loci (eQTL) for genes associated with inflammatory bowel disease (IBD). Of the 4,384 SNPs targeted in 88 loci (an average of 50 per locus), 439 were significant and further examined for validation. From these, 98 significantly altered target gene expression in HL-60 myeloid cell line, 74 in induced macrophages from these HL-60 cells, and 78 in induced neutrophils for a total of 201 validated effects (46%), 43 of which were observed in at least two of the cell types. Considering the observed sensitivity and specificity of the controls, we estimate that there are at least 150 true positives per cell type, an average of almost 2.4 for each of the 64 eQTL for which putative causal variants have been fine-mapped. This implies that haplotype effects are likely to explain many of the associations. We also demonstrate that the same approach can be used to investigate the activity of very rare variants in regulatory regions for 89 genes, providing a rapid strategy for establishing clinical relevance of non-coding mutations.

摘要

全基因组关联研究通常会鉴定出数百到数千个基因座,其中许多都包含多个独立的峰,每个峰都被简约地假定是由单个因果变异的活性所致。对这些变异进行精细定位已成为当务之急,而且由于大多数关联都位于调控区域内,因此还假定它们与影响附近基因表达的调控变异共定位。在此,我们通过使用一种中等通量的表达CROPseq方案来检验这些假设,在该方案中,Cas9核酸酶用于在可能解释炎症性肠病(IBD)相关基因的表达数量性状位点(eQTL)的可信单核苷酸多态性(SNP)集合中诱导小的插入和缺失。在88个基因座中靶向的4384个SNP(每个基因座平均50个)中,439个具有显著性,并进一步进行验证。其中,98个在HL-60髓系细胞系中显著改变了靶基因表达,74个在这些HL-60细胞诱导的巨噬细胞中,78个在诱导的中性粒细胞中,总共201个验证效应(46%),其中43个在至少两种细胞类型中观察到。考虑到对照的观察到的敏感性和特异性,我们估计每种细胞类型至少有150个真阳性,对于已对推定因果变异进行精细定位的64个eQTL中的每一个,平均几乎有2.4个。这意味着单倍型效应可能解释了许多关联。我们还证明,相同的方法可用于研究89个基因调控区域中非常罕见变异的活性,为建立非编码突变的临床相关性提供了一种快速策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a465/11838257/0d37f1604e59/nihpp-2025.01.30.635675v1-f0001.jpg

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