Results 201 to 210 of about 40,378 (239)
Some of the next articles are maybe not open access.

eQTL

2012
The goal of mapping expression quantitative trait loci (eQTLs) is to identify genomic regions regulating gene expression traits, which can be gathered through microarrays, RNA-Seq, or related methods. Because thousands of expression traits are analyzed simultaneously, eQTL analysis can help elucidate regulatory networks and provide valuable insights ...
Lun, Li, Xianghua, Zhang, Hongyu, Zhao
openaire   +2 more sources

eQTL Analysis in Humans

2009
Improving human health is a major aim of medical research, but it requires that variation between individuals be taken into account since each person carries a different combination of gene variants and is exposed to different environmental conditions, which can cause differences in susceptibility to diseases.
Franke, L., Jansen, R. C.
openaire   +2 more sources

QTL Analysis Beyond eQTLs

2019
Expression quantitative trait locus (eQTL) analysis is a powerful method to understand the association between genetic variant and gene expression; it also has potential impact for the study of transcription medicine for human complex disease. In the past two decades, the researchers focus on studying the eQTL, while more and more evidence shows that ...
Jia, Wen, Conor, Nodzak, Xinghua, Shi
openaire   +2 more sources

Getting dynamic with eQTLs

Nature Reviews Genetics, 2019
A recent study in Science demonstrates how capturing gene expression over a developmental time course enables the discovery of dynamic expression quantitative trait loci (eQTLs) that would otherwise be challenging to find.
openaire   +2 more sources

eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data

2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
The identification of expression quantitative trait loci (eQTL) epistasis, which is a non-linear interaction effect between two or more genetic loci that control quantitative traits, play an essential role in understanding the mechanisms of gene interactions in the complex diseases. However, many studies have ignored the possibility of the epistasis in
Mingon Kang   +3 more
openaire   +1 more source

Systems genetics, bioinformatics and eQTL mapping

Genetica, 2010
Jansen and Nap (Trends Genet 17(7):388-391, 2001) and Jansen (Nat Rev Genet 4:145-151, 2003) first proposed the concept of genetical genomics, or genome-wide genetic analysis of gene expression data, which is also called transcriptome mapping. In this approach, microarrays are used for measuring gene expression levels across genetic mapping populations.
Hong, Li, Hongwen, Deng
openaire   +2 more sources

eQTL Mapping Using Transcription Factor Affinity

2019
In the last decades, thousands of common genetic variants have been associated with human diseases by genome-wide association studies (GWAS). However, the functional interpretation of GWAS hits is usually nontrivial, especially because most of them lay outside the coding genome.
Elisa, Mariella   +2 more
openaire   +2 more sources

Strategies for eQTL mapping in allopolyploid organisms

Theoretical and Applied Genetics, 2020
This study uses simulations to explore statistical power and false-positive rates for eQTL mapping in allopolyploid organisms and provides guidelines to apply eQTL mapping in these organisms. In recent years, RNA-seq has become the dominant technology for eQTL studies. However, most work has been in diploid organisms.
Kang-Hsien Fan   +2 more
openaire   +2 more sources

Tissue-Specific eQTL in Zebrafish

2019
Copy number variants (CNVs) refer to the loss or gain of copies of a genomic DNA region. While some CNVs may play a role in species evolution by enriching the diversity of an organism, CNVs may also be linked to certain diseases such as neurological disorders, early onset obesity, and cancer.
openaire   +2 more sources

Introductory Methods for eQTL Analyses

2019
Expression quantitative trait locus (eQTL) analysis has proven to be a powerful method to describe how variation in phenotypes may be attributed to a given genotype. While the field of bioinformatics and genomics has experienced exponential growth with modern technological advances, an unintended consequence arises as a lack of a gold standard for many
openaire   +2 more sources

Home - About - Disclaimer - Privacy