ReviewInternational review of neurobiology2014
Genetics of gene expression in CNS.
Review in International review of neurobiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- The most common European HINT1 neuropathy variant phenotype and its case studies.Frontiers in neurology · 2023Article
- Natural Mutations Affect Structure and Function of gC1q Domain of Otolin-1.International journal of molecular sciences · 2021Article
- Evaluation of Sirtuin-3 probe quality and co-expressed genes using literature cohesion.BMC bioinformatics · 2019Article
- RNA sequencing profiling of the retina in C57BL/6J and DBA/2J mice: Enhancing the retinal microarray data sets from GeneNetwork.Molecular vision · 2019Article
- Mapping Molecular Datasets Back to the Brain Regions They are Extracted from: Remembering the Native Countries of Hypothalamic Expatriates and Refugees.Advances in neurobiology · 2018Article
- Unraveling long non-coding RNAs through analysis of high-throughput RNA-sequencing data.Non-coding RNA research · 2017Review
- Alterations in the expression of a neurodevelopmental gene exert long-lasting effects on cognitive-emotional phenotypes and functional brain networks: translational evidence from the stress-resilient Ahi1 knockout mouse.Molecular psychiatry · 2017Article
- Identifying genes for neurobehavioural traits in rodents: progress and pitfalls.Disease models & mechanisms · 2017Review
- Orbitofrontal Neuroadaptations and Cross-Species Synaptic Biomarkers in Heavy-Drinking Macaques.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- The Genetic Architecture of Murine Glutathione Transferases.PloS one · 2016Article
- RNA sequencing of transcriptomes in human brain regions: protein-coding and non-coding RNAs, isoforms and alleles.BMC genomics · 2015Article
- LRRK2 Pathways Leading to Neurodegeneration.Current neurology and neuroscience reports · 2015Review
- Segregation of a spontaneous Klrd1 (CD94) mutation in DBA/2 mouse substrains.G3 (Bethesda, Md.) · 2014Article
- Article
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Authors and funding
2 authors.
Funding
Abstract
Transcriptome studies have revealed a surprisingly high level of variation among individuals in expression of key genes in the CNS under both normal and experimental conditions. Ten-fold variation is common, yet the specific causes and consequences of this variation are largely unknown. By combining classic gene mapping methods-family linkage studies and genomewide association-with high-throughput genomics, it is now possible to define quantitative trait loci (QTLs), single-gene variants, and even single SNPs and indels that control gene expression in different brain regions and cells. This review considers some of the major technical and conceptual challenges in analyzing variation in expression in the CNS with a focus on mRNAs, rather than noncoding RNAs or proteins. At one level of analysis, this work has been highly successful, and we finally have techniques that can be used to track down small numbers of loci that control expression in the CNS. But at a higher level of analysis, we still do not understand the genetic architecture of gene expression in brain, the consequences of expression QTLs on protein levels or on cell function, or the combined impact of expression differences on behavior and disease risk. These important gaps are likely to be bridged over the next several decades using (1) much larger sample sizes, (2) more powerful RNA sequencing and proteomic methods, and (3) novel statistical and computational models to predict genome-to-phenome relations.
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Registered trials
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