ArticleNature2013
Variation and genetic control of protein abundance in humans.
Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 227 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
227 citing papers in PubMed, 1 synthesis or guideline pooled it, 397 citations in OpenAlex.
- Prognostic significance of p27 in colorectal cancer: a meta-analysis and bioinformatics analysis.Frontiers in oncology · 2024Pooled it
- Colocalization and discordance between plasma and brain protein quantitative trait loci.bioRxiv : the preprint server for biology · 2026Article
- Pro-Inflammatory Activation Promotes Atherogenic Endothelial Phenotype in Male and Female Human Umbilical Endothelial Vein Cells (HUVECs).International journal of molecular sciences · 2026Article
- Polysomal Profiling Coupled to Allele-Specific Proteomics Reveals an EIF4H TranSNP Allele Possessing Higher mRNA Translation Potential.Molecular & cellular proteomics : MCP · 2026Article
- Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributors.medRxiv : the preprint server for health sciences · 2026Article
- Multiomics strategy-based obesity biomarkers discovery for precision medicine.International journal of obesity (2005) · 2026Review
- New Method Enhanced Extraction of Protein Signatures of Renal Cell Carcinoma from Proteomics Data.Journal of proteome research · 2025Article
- Gene-environment interactions modulate the phenotype severity in mouse models of congenital craniofacial syndromes.The Journal of clinical investigation · 2025Article
- GEO combined with quantitative protein trait loci identify causative proteins in hypertrophic cardiomyopathy.ESC heart failure · 2025Article
- ProMix: Enhancing Protein Quantification through Experimental Design and Statistical Normalization.Journal of proteome research · 2025Article
- Comparative Analysis of Testicular Transcriptional and Translational Landscapes in Yak and Cattle-Yak: Implications for Hybrid Male Sterility.Biomolecules · 2025Article
- Novel Gene-Informed Regional Brain Targets for Clinical Screening for Major Depression.Neurology international · 2025Article
- Development of chemokine network inhibitors using combinatorial saturation mutagenesis.Communications biology · 2025Article
- Unveiling novel features and phylogenomic assessment of indigenousMicrobiology spectrum · 2025Article
- Genetic modulation of protein expression in rat brain.iScience · 2025Article
- Multi-INTACT: integrative analysis of the genome, transcriptome, and proteome identifies causal mechanisms of complex traits.Genome biology · 2025Article
- Mapping the functional network of human cancer through machine learning and pan-cancer proteogenomics.Nature cancer · 2025Article
- Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives.Biomedicines · 2024Review
- Genetic regulation of human brain proteome reveals proteins implicated in psychiatric disorders.Molecular psychiatry · 2024Article
- Identifying genetic variants that influence the abundance of cell states in single-cell data.Nature genetics · 2024Article
167 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
8 authors at 1 institution in 1 country.
Funding
Abstract
Gene expression differs among individuals and populations and is thought to be a major determinant of phenotypic variation. Although variation and genetic loci responsible for RNA expression levels have been analysed extensively in human populations, our knowledge is limited regarding the differences in human protein abundance and the genetic basis for this difference. Variation in messenger RNA expression is not a perfect surrogate for protein expression because the latter is influenced by an array of post-transcriptional regulatory mechanisms, and, empirically, the correlation between protein and mRNA levels is generally modest. Here we used isobaric tag-based quantitative mass spectrometry to determine relative protein levels of 5,953 genes in lymphoblastoid cell lines from 95 diverse individuals genotyped in the HapMap Project. We found that protein levels are heritable molecular phenotypes that exhibit considerable variation between individuals, populations and sexes. Levels of specific sets of proteins involved in the same biological process covary among individuals, indicating that these processes are tightly regulated at the protein level. We identified cis-pQTLs (protein quantitative trait loci), including variants not detected by previous transcriptome studies. This study demonstrates the feasibility of high-throughput human proteome quantification that, when integrated with DNA variation and transcriptome information, adds a new dimension to the characterization of gene expression regulation.
Indexed as
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.