ArticleGenetics2016
The Dissection of Expression Quantitative Trait Locus Hotspots.
Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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.
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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
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
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- Identification of novel drug targets for osteoarthritis by integrating genetics and proteomes from blood.Journal of orthopaedic surgery and research · 2024Article
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- Molecular mechanisms underpinning quantitative resistance toFrontiers in plant science · 2023Article
- Sex differences in the genetics of sarcoidosis across European and African ancestry populations.Frontiers in medicine · 2023Article
- Genetic control of the pluripotency epigenome determines differentiation bias in mouse embryonic stem cells.The EMBO journal · 2022Article
- High-Density Mapping of Quantitative Trait Loci Controlling Agronomically Important Traits in Quinoa (Frontiers in plant science · 2022Article
- The cichlid oral and pharyngeal jaws are evolutionarily and genetically coupled.Nature communications · 2021Article
- Integrating transcriptome-wide association study and mRNA expression profile identified candidate genes related to hand osteoarthritis.Arthritis research & therapy · 2021Article
- Treatment of the X chromosome in mapping multiple quantitative trait loci.G3 (Bethesda, Md.) · 2021Article
- Collagen type XVIII alpha 1 chain (COL18A1) variants affect the risk of anti-tuberculosis drug-induced hepatotoxicity: A prospective study.Journal of clinical laboratory analysis · 2021Article
- An Integrative Analysis of Transcriptome and GWAS Data to Identify Potential Candidate Genes Influencing Meat Quality Traits in Pigs.Frontiers in genetics · 2021Article
- Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits.Genetics, selection, evolution : GSE · 2020Article
- Integrating transcriptomic network reconstruction and eQTL analyses reveals mechanistic connections between genomic architecture and Brassica rapa development.PLoS genetics · 2019Article
- Conserved properties of genetic architecture of renal and fat transcriptomes in rat models of insulin resistance.Disease models & mechanisms · 2019Article
- Testing PleiotropyG3 (Bethesda, Md.) · 2019Article
- Tissue-SpecificGenetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Studies of the genetic loci that contribute to variation in gene expression frequently identify loci with broad effects on gene expression: expression quantitative trait locus hotspots. We describe a set of exploratory graphical methods as well as a formal likelihood-based test for assessing whether a given hotspot is due to one or multiple polymorphisms. We first look at the pattern of effects of the locus on the expression traits that map to the locus: the direction of the effects and the degree of dominance. A second technique is to focus on the individuals that exhibit no recombination event in the region, apply dimensionality reduction (e.g., with linear discriminant analysis), and compare the phenotype distribution in the nonrecombinant individuals to that in the recombinant individuals: if the recombinant individuals display a different expression pattern than the nonrecombinant individuals, this indicates the presence of multiple causal polymorphisms. In the formal likelihood-based test, we compare a two-locus model, with each expression trait affected by one or the other locus, to a single-locus model. We apply our methods to a large mouse intercross with gene expression microarray data on six tissues.
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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.