ReviewNature reviews. Genetics2011
From expression QTLs to personalized transcriptomics.
Review in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 4 of them syntheses 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
118 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Genetic variation in cis-regulatory domains suggests cell type-specific regulatory mechanisms in immunity.Communications biology · 2023Pooled it
- A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell Types.Frontiers in genetics · 2020Pooled it
- Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.PloS one · 2014Pooled it
- Pooled it
- Data-driven RNA phenotyping captures genetically regulated dimensions of the transcriptome.American journal of human genetics · 2026Article
- Multi-omics and causal inference reveal lactylation-based osteoblast regulatory networks and drug candidates.iScience · 2026Article
- Data-driven RNA phenotyping captures genetically regulated dimensions of the transcriptome.bioRxiv : the preprint server for biology · 2026Article
- Evaluating the causal effects of circulating plasma proteins on the risk of malignant neoplasms of bone and articular cartilage.The Journal of international medical research · 2026Article
- Novel common target genes for breast cancer and colorectal cancer: a Mendelian randomization and spatial transcriptomics study.Discover oncology · 2025Article
- Mendelian Randomization Combined with Bioinformatics Revealed Specific Allergy-Mediated Protective Mechanisms Against Renal Cell Carcinoma.Phenomics (Cham, Switzerland) · 2025Article
- Investigating potential drug targets for the treatment of glioblastoma: a Mendelian randomization study.BMC cancer · 2025Article
- Uncovering leading compounds for alzheimer's disease treatment: mendelian randomization and virtual screening insights into plasma protein modulation.Biological research · 2025Article
- Potential drug targets for systemic lupus erythematosus identified through Mendelian randomization analysis.Medicine · 2025Article
- Exploring potential drug targets for SLE through Mendelian randomization and network pharmacology.PloS one · 2025Article
- STC2 promotes anoikis resistance by modulating TGIF1 mRNA stability in colorectal cancer.Frontiers in cell and developmental biology · 2025Article
- Evidence from a Comprehensive Bioinformatics Analysis Point to Possible Therapeutic Targets for Vitiligo.Clinical, cosmetic and investigational dermatology · 2025Article
- Proteomic insights into COPD pathogenesis and therapeutic targets: a causal analysis of circulating proteins.Frontiers in medicine · 2025Article
- Mendelian randomization analysis to identify potential drug targets for osteoarthritis.PloS one · 2025Article
- Multi-omics analysis reveals the genetic aging landscape of Parkinson's disease.Scientific reports · 2024Article
- Selective Effect of DNA N6-Methyladenosine Modification on Transcriptional Genetic Variations in East Asian Samples.International journal of molecular sciences · 2024Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Approaches that combine expression quantitative trait loci (eQTLs) and genome-wide association (GWA) studies are offering new functional information about the aetiology of complex human traits and diseases. Improved study designs--which take into account technological advances in resolving the transcriptome, cell history and state, population of origin and diverse endophenotypes--are providing insights into the architecture of disease and the landscape of gene regulation in humans. Furthermore, these advances are helping to establish links between cellular effects and organismal traits.
Indexed as
Identifiers
21386863What 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.