Results 41 to 50 of about 48,393 (270)

A global transcriptional network connecting noncoding mutations to changes in tumor gene expression. [PDF]

open access: yes, 2018
Although cancer genomes are replete with noncoding mutations, the effects of these mutations remain poorly characterized. Here we perform an integrative analysis of 930 tumor whole genomes and matched transcriptomes, identifying a network of 193 ...
Bojorquez-Gomez, Ana   +17 more
core   +1 more source

DNA methylation modulated genetic variant effect on gene transcriptional regulation

open access: yesGenome Biology, 2023
Background Expression quantitative trait locus (eQTL) analysis has emerged as an important tool in elucidating the link between genetic variants and gene expression, thereby bridging the gap between risk SNPs and associated diseases.
Yong Zeng   +9 more
doaj   +1 more source

RNA-Seq optimization with eQTL gold standards. [PDF]

open access: yes, 2013
BackgroundRNA-Sequencing (RNA-Seq) experiments have been optimized for library preparation, mapping, and gene expression estimation. These methods, however, have revealed weaknesses in the next stages of analysis of differential expression, with results ...
Arking, Dan E   +5 more
core   +2 more sources

Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations

open access: yeseLife, 2022
Genome-wide association studies (GWASs) for bone mineral density (BMD) in humans have identified over 1100 associations to date. However, identifying causal genes implicated by such studies has been challenging.
B. Al-Barghouthi   +15 more
semanticscholar   +1 more source

PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types [PDF]

open access: yesNucleic Acids Research, 2017
Expression quantitative trait locus (eQTL) analysis, which links variations in gene expression to genotypes, is essential to understanding gene regulation and to interpreting disease-associated loci. Currently identified eQTLs are mainly in samples of blood and other normal tissues. However, no database comprehensively provides eQTLs in large number of
Gong, Jing   +11 more
openaire   +2 more sources

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases

open access: yesJournal of Integrative Bioinformatics, 2018
Comorbidity, a co-incidence of several disorders in an individual, is a common phenomenon. Their development is governed by multiple factors, including genetic variation.
Bragina Elena Yu.   +14 more
doaj   +1 more source

Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits

open access: yesGenetics Selection Evolution, 2021
Background Variants that regulate transcription, such as expression quantitative trait loci (eQTL), have shown enrichment in genome-wide association studies (GWAS) for mammalian complex traits. However, no study has reported eQTL in sheep, although it is
Zehu Yuan   +13 more
doaj   +1 more source

Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease. [PDF]

open access: yes, 2019
The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease.
Aguiar   +76 more
core   +2 more sources

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

open access: yesGenome Biology, 2021
Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states.
Anna S. E. Cuomo   +5 more
doaj   +1 more source

kruX: matrix-based non-parametric eQTL discovery [PDF]

open access: yesBMC Bioinformatics, 2014
The Kruskal-Wallis test is a popular non-parametric statistical test for identifying expression quantitative trait loci (eQTLs) from genome-wide data due to its robustness against variations in the underlying genetic model and expression trait distribution, but testing billions of marker-trait combinations one-by-one can become computationally ...
Qi, Jianlong   +3 more
openaire   +5 more sources

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