ArticleStatistics in biosciences2013
eQTL Mapping Using RNA-seq Data.
Article in Statistics in biosciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
37 citing papers in PubMed.
- A two-phase clustering procedure based on allele specific expression.BMC bioinformatics · 2026Article
- Article
- SNP-Based and Kmer-Based eQTL Analysis Using Transcriptome Data.Animals : an open access journal from MDPI · 2024Article
- Article
- A natural variation-based screen in mouse cells reveals USF2 as a regulator of the DNA damage response and cellular senescence.G3 (Bethesda, Md.) · 2023Article
- A computational method for cell type-specific expression quantitative trait loci mapping using bulk RNA-seq data.Nature communications · 2023Article
- Characterization of grain carotenoids in global sorghum germplasm to guide genomics-assisted breeding strategies.BMC plant biology · 2023Article
- A deep-learning-based RNA-seq germline variant caller.Bioinformatics advances · 2023Article
- Allele-specific Expression Reveals Multiple Paths to Highland Adaptation in Maize.Molecular biology and evolution · 2022Article
- GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure.BMC bioinformatics · 2022Article
- eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects.PLoS genetics · 2022Article
- eQTLs as causal instruments for the reconstruction of hormone linked gene networks.Frontiers in endocrinology · 2022Review
- Chrom-Lasso: a lasso regression-based model to detect functional interactions using Hi-C data.Briefings in bioinformatics · 2021Article
- Article
- Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data.PLoS genetics · 2021Article
- Sexual Dimorphism through the Lens of Genome Manipulation, Forward Genetics, and Spatiotemporal Sequencing.Genome biology and evolution · 2021Article
- Strategies for eQTL mapping in allopolyploid organisms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Review
- ASEP: Gene-based detection of allele-specific expression across individuals in a population by RNA sequencing.PLoS genetics · 2020Article
- Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples.Journal of the American Statistical Association · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
As RNA-seq is replacing gene expression microarrays to assess genome-wide transcription abundance, gene expression Quantitative Trait Locus (eQTL) studies using RNA-seq have emerged. RNA-seq delivers two novel features that are important for eQTL studies. First, it provides information on allele-specific expression (ASE), which is not available from gene expression microarrays. Second, it generates unprecedentedly rich data to study RNA-isoform expression. In this paper, we review current methods for eQTL mapping using ASE and discuss some future directions. We also review existing works that use RNA-seq data to study RNA-isoform expression and we discuss the gaps between these works and isoform-specific eQTL mapping.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.