ArticleGenome medicine2013
Single cell expression quantitative trait loci and complex traits.
Article in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrative genomics identifies new genes associated with severe COPD and emphysema.Respiratory research · 2018Pooled it
- Intersecting single-cell transcriptomics and genome-wide association studies identifies crucial cell populations and candidate genes for atherosclerosis.European heart journal open · 2022Article
- The Applications of Single-Cell RNA Sequencing in Atherosclerotic Disease.Frontiers in cardiovascular medicine · 2022Review
- Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes.BioMed research international · 2017Article
- Single-cell RNA-seq: advances and future challenges.Nucleic acids research · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The recently developed ability to quantify mRNA abundance and noise in single cells has allowed the effect of heritable variations on gene function to be re-evaluated. A recent study has shown that major sources of variation are masked when gene expression is averaged over many cells. Heritable variations that determine single-cell expression phenotypes may exert a regulatory function in specific cellular processes underlying disease. Masked effects on gene expression should therefore be modeled, not ignored.
Identifiers
What OpenQuestion holds
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.