This work unbiasedly characterized cell-type-specific eQTLs by applying a variance component model to population-scale single-cell RNA-sequencing (RNA-seq) data and established eQTL cell-type specificity as a key feature of gene regulation and partly explain why known eQTLs are depleted in gene regulatory effects on complex traits.
Abstract
Genetic effects on complex traits primarily act by regulating gene expression; however, this process is not well understood1. Studies of genetic effects on gene expression (expression quantitative trait loci (eQTLs)) can inform as to the gene regulatory layer between genetic variants and complex traits2. However, previous studies have not effectively captured cell-type-specific eQTLs, which are likely to be important for complex traits. Here we unbiasedly characterized cell-type-specific eQTLs by applying a variance component model to population-scale single-cell RNA-sequencing (RNA-seq) data. Using peripheral blood mononuclear cells from the OneK1K cohort, we demonstrated that cell-type-specific eQTLs enrich for complex trait heritability, which we did not observe for cell-type-shared eQTLs. We also found that eQTL specificity is associated with genes that have greater selective constraint, enhancer complexity and gene network connectivity, three features enriched in complex traits relative to known eQTLs3,4. Transcriptome-wide, trans eQTLs were mostly cell-type-specific (60% specific) whereas cis eQTLs were mostly shared (30% specific). We used a second single-cell RNA-seq dataset to replicate our findings and demonstrate that cell-type-shared and cell-type-specific eQTLs are consistent across ancestries. Our results establish eQTL cell-type specificity as a key feature of gene regulation and partly explain why known eQTLs are depleted in gene regulatory effects on complex traits.
Many disease-associated genetic variants likely exert context-dependent regulatory effects that are underrepresented in healthy, steady-state adult tissues. To investigate gene regulation across diverse environmental and cellular contexts, we exposed heterogeneous differentiating cultures from 51 human induced pluripot...
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This sc-eQTL MR study reveals immune cell-specific causal regulatory networks in PCOS, where GLIPR1 in non-classical monocytes represents a high-confidence protective target, while XBP1 provides suggestive evidence for immune-mediated pathogenesis.
Jia-Huan Zhang, Yi-Kai Liu, Dan-Hong Lin et al.· Science in progress· 0 citations
Many disease-associated variants are thought to act through gene regulation, yet conventional eQTL mapping explains only a fraction of GWAS loci, potentially because regulatory effects vary across cellular states and environments. We present CASTIE, a scalable Poisson mixed-model framework that directly models sparse s...
Yijia Christiana Liu, A. Cuomo, Yi Huang et al.· medRxiv· 0 citations
Motivation Single-cell expression quantitative trait locus (eQTL) studies can resolve cell-type-specific genetic effects, but conventional gene-by-gene analyses do not directly capture coordinated genetic regulation of neighboring genes. Principal-component QTL (pcQTL) mapping can summarize such multi-gene effects, but...
Jun-Kai Zhang, Yi Huang, M. Claussnitzer et al.· bioRxiv· 0 citations
Genome-wide association study (GWAS) analyses have identified numerous loci associated with economic traits in cattle. Many of these loci reside in noncoding regions, and the regulatory mechanisms through which they influence complex traits remain poorly understood. Here, we integrated 657 RNA-seq libraries from 275 Hu...
Shiyuan Qiu, Li-Li Du, Bo-Yu Zhang et al.· Genomics, Proteomics & Bioin...· 0 citations
Dynema (Dynamic eQTL mapping in single cells) is proposed for fast and accurate genome-wide mapping of context-dependent and independent eQTL effects at true single-cell resolution and shows that TSPAN32 and other autoimmune loci colocalize with cell-state-dependent eQTLs.
José Alquicira-Hernández, E. Dorans, Yoshihiro Tomofuji et al.· bioRxiv· 0 citations
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