ReviewNature reviews. Genetics2012
Cellular genomics for complex traits.
Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed.
- Regulating appetite in broilers for improving body and muscle development - A review.Journal of animal physiology and animal nutrition · 2020Review
- Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation.Genome biology · 2018Article
- High-throughput characterization of genetic effects on DNA-protein binding and gene transcription.Genome research · 2018Article
- QuASAR-MPRA: accurate allele-specific analysis for massively parallel reporter assays.Bioinformatics (Oxford, England) · 2018Article
- Autoimmune diseases - connecting risk alleles with molecular traits of the immune system.Nature reviews. Genetics · 2016Review
- Lymphoblastoid Cell Lines as a Tool to Study Inter-Individual Differences in the Response to Glucose.PloS one · 2016Article
- Lithium in the treatment of bipolar disorder: pharmacology and pharmacogenetics.Molecular psychiatry · 2015Review
- QuASAR: quantitative allele-specific analysis of reads.Bioinformatics (Oxford, England) · 2015Article
- The role of regulatory variation in complex traits and disease.Nature reviews. Genetics · 2015Review
- Functional fingerprinting of human mesenchymal stem cells using high-throughput RNAi screening.Genome medicine · 2015Article
- Genetic influences on translation in yeast.PLoS genetics · 2014Article
- Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.World journal of diabetes · 2014Review
- Towards a comprehensive picture of the genetic landscape of complex traits.Briefings in bioinformatics · 2014Article
- Systems pharmacology identifies drug targets for Stargardt disease-associated retinal degeneration.The Journal of clinical investigation · 2013Article
- Genetic mapping with multiple levels of phenotypic information reveals determinants of lymphocyte glucocorticoid sensitivity.American journal of human genetics · 2013Article
- Using natural variation in Drosophila to discover previously unknown endoplasmic reticulum stress genes.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Global properties and functional complexity of human gene regulatory variation.PLoS genetics · 2013Review
- Effect of regulatory architecture on broad versus narrow sense heritability.PLoS computational biology · 2013Article
- Optofluidic detection for cellular phenotyping.Lab on a chip · 2012Review
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
No grant is acknowledged in the PubMed record.
Abstract
Recent developments in the collection and analysis of cellular multilayered data in large cohorts with extensive organismal phenotyping promise to reveal links between genetic variation and biological processes. The use of these cellular resources as models for human biology - known as 'cellular phenotyping' - is likely to transform our understanding of the genetic and long-term environmental influences on complex traits. I discuss the advantages and caveats of a deeper analysis of cellular phenotypes in large cohorts and assess the methodological advances, resource needs and prospects of this new approach.
Indexed as
Identifiers
22330769What 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.