ReviewFrontiers in genetics2018
Genome-Wide Expression Quantitative Trait Loci Analysis Using Mixed Models.
Review in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- DetectGxT: detecting gene-by-treatment interactions on molecular count phenotypes accounting for allelic additivity.bioRxiv : the preprint server for biology · 2026Article
- ELF1 serves as a potential biomarker for the disease activity and renal involvement in systemic lupus erythematosus.Scientific reports · 2024Article
- A brief guide to analyzing expression quantitative trait loci.Molecules and cells · 2024Review
- Deciphering the Genetic Complexity of Classical Hodgkin Lymphoma: Insights and Effective Strategies.Current genomics · 2024Review
- Differential expressions of FASN, SCD, and FABP4 genes in the ribeye muscle of omega-3 oil-supplemented Tattykeel Australian White lambs.BMC genomics · 2023Article
- Identification and Interpretation of eQTL and eGenes for Hodgkin Lymphoma Susceptibility.Genes · 2023Article
- Antagonistic regulatory effects of a single cis-acting expression quantitative trait locus between transcription and translation of the MRPL43 gene.BMC genomic data · 2022Article
- Review
- Integrative Analysis Between Genome-Wide Association Study and Expression Quantitative Trait Loci Reveals Bovine Muscle Gene Expression Regulatory Polymorphisms Associated With Intramuscular Fat and Backfat Thickness.Frontiers in genetics · 2022Article
- An approach for normalization and quality control for NanoString RNA expression data.Briefings in bioinformatics · 2021Article
- Regulatory Nucleotide Sequence Signals for Expression of the Genes Encoding Ribosomal Proteins.Frontiers in genetics · 2020Article
- Bayesian Inference for Mixed Model-Based Genome-Wide Analysis of Expression Quantitative Trait Loci by Gibbs Sampling.Frontiers in genetics · 2019Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Expression quantitative trait loci (eQTLs) are important for understanding the genetic basis of cellular activities and complex phenotypes. Genome-wide eQTL analyses can be effectively conducted by employing a mixed model. The mixed model includes random polygenic effects with variability, which can be estimated by the covariance structure of pairwise genomic similarity among individuals based on genotype information for nucleotide sequence variants. This increases the accuracy of identifying eQTLs by avoiding population stratification. Its extensive use will accelerate our understanding of the genetics of gene expression and complex phenotypes. An overview of genome-wide eQTL analyses using mixed model methodology is provided, including discussions of both theoretical and practical issues. The advantages of employing mixed models are also discussed in this review.
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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.