ArticleMolecular & cellular proteomics : MCP2010
Identification of quantitative trait loci underlying proteome variation in human lymphoblastoid cells.
Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 38 citations in OpenAlex.
- Identification of genetic variants influencing the human plasma proteome.Proceedings of the National Academy of Sciences of the United States of America · 2013Trial
- TheScience translational medicine · 2019Article
- Genomic and Phenomic Research in the 21st Century.Trends in genetics : TIG · 2019Review
- The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target.Brain : a journal of neurology · 2018Article
- Allele-specific SHAPE-MaP assessment of the effects of somatic variation and protein binding on mRNA structure.RNA (New York, N.Y.) · 2018Article
- Chromosome conformation signatures define predictive markers of inadequate response to methotrexate in early rheumatoid arthritis.Journal of translational medicine · 2018Article
- Emerging Affinity-Based Proteomic Technologies for Large-Scale Plasma Profiling in Cardiovascular Disease.Circulation · 2017Review
- Connecting genetic risk to disease end points through the human blood plasma proteome.Nature communications · 2017Article
- Human iPSC-derived neurons and lymphoblastoid cells for personalized medicine research in neuropsychiatric disorders.Dialogues in clinical neuroscience · 2016Review
- Associations Between Common and Rare Exonic Genetic Variants and Serum Levels of 20 Cardiovascular-Related Proteins: The Tromsø Study.Circulation. Cardiovascular genetics · 2016Article
- Autoimmune diseases - connecting risk alleles with molecular traits of the immune system.Nature reviews. Genetics · 2016Review
- Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits.Scientific reports · 2016Article
- Extensive allele-specific translational regulation in hybrid mice.Molecular systems biology · 2015Article
- The role of regulatory variation in complex traits and disease.Nature reviews. Genetics · 2015Review
- Genomic variation. Impact of regulatory variation from RNA to protein.Science (New York, N.Y.) · 2015Article
- Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.PloS one · 2015Article
- Identification and validation of genetic variants that influence transcription factor and cell signaling protein levels.American journal of human genetics · 2014Article
- Influence of genetic variation on plasma protein levels in older adults using a multi-analyte panel.PloS one · 2013Article
- Identification of cis-regulatory variation influencing protein abundance levels in human plasma.Human molecular genetics · 2012Article
- Integrative genomics: quantifying significance of phenotype-genotype relationships from multiple sources of high-throughput data.Frontiers in genetics · 2012Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Population-based variability in protein expression patterns, especially in humans, is often observed but poorly understood. Moreover, very little is known about how interindividual genetic variation contributes to protein expression patterns. To begin to address this, we describe elements of technical and biological variations contributing to expression of 544 proteins in a population of 24 individual human lymphoblastoid cell lines that have been extensively genotyped as part of the International HapMap Project. We determined that expression levels of 10% of the proteins were tightly correlated to cell doubling rates. Using the publicly available genotypes for these lymphoblastoid cell lines, we applied a genetic association approach to identify quantitative trait loci associated with protein expression variation. Results identified 24 protein forms corresponding to 15 proteins for which genetic elements were responsible for >50% of the expression variation. The genetic variation associated with protein expression levels were located in cis with the gene coding for the transcript of the protein for 19 of these protein forms. Four of the genetic elements identified were coding non-synonymous single nucleotide polymorphisms that resulted in migration pattern changes in the two-dimensional gel. This is the first description of large scale proteomics analysis demonstrating the direct relationship between genome and proteome variations in human cells.
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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.