2012
DOI: 10.1038/ejhg.2012.129
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RNA-Seq and human complex diseases: recent accomplishments and future perspectives

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Cited by 222 publications
(160 citation statements)
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References 95 publications
(126 reference statements)
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“…The application of RNA-seq to study non-model systems is still in its infancy, and care must be taken not to overlook its limitations in the rush to adopt the technology (Costa et al 2013;Todd et al 2016). In this section, we describe some of the experimental, analytical, and conceptual challenges raised specifically by the body of work described herein and highlight some avenues of future exploratory and confirmatory analyses.…”
Section: Challenges and Directions For Future Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…The application of RNA-seq to study non-model systems is still in its infancy, and care must be taken not to overlook its limitations in the rush to adopt the technology (Costa et al 2013;Todd et al 2016). In this section, we describe some of the experimental, analytical, and conceptual challenges raised specifically by the body of work described herein and highlight some avenues of future exploratory and confirmatory analyses.…”
Section: Challenges and Directions For Future Researchmentioning
confidence: 99%
“…In this section, we describe some of the experimental, analytical, and conceptual challenges raised specifically by the body of work described herein and highlight some avenues of future exploratory and confirmatory analyses. For further detail about technical and analytical issues surrounding RNA-seq experiments in general, we refer the reader to several discussions on the topic (Fang and Cui 2011;Ozsolak and Milos 2011;Sendler et al 2011;Costa et al 2013;Conesa et al 2016).…”
Section: Challenges and Directions For Future Researchmentioning
confidence: 99%
“…The majority of disease-associated single nucleotide polymorphisms (SNPs) detected in genome-wide association studies are located in non-coding regions of the genome (Freedman et al 2011). This indicates that these genetic variants might influence gene expression levels rather than protein function (Costa et al 2013). And indeed, by comparing gene expression profiles in healthy and diseased individuals we can get a better understanding of what parts of the genome are up-or downregulated during disease, or detect certain disease-causing alterations that might not be observed on a genomic level but can only be detected when looking at the expression of genes.…”
Section: Disease Studiesmentioning
confidence: 99%
“…Highthroughput techniques such as microarrays and next generation sequencing allow investigators to observe and compare the transcriptional landscapes of tumor cells in different biological states [13][14][15][16][17][18]. In this work, we integrated multiple gene expression data from several largescale breast cancer studies to improve the assessment of differential gene expression in breast tumor cells and to effectively increase statistical power.…”
Section: Statistical Analysis Of Gene Expression Datamentioning
confidence: 99%