Results 61 to 70 of about 48,393 (270)

Topological Analysis of Metabolic Networks Integrating Co-Segregating Transcriptomes and Metabolomes in Type 2 Diabetic Rat Congenic Series [PDF]

open access: yes, 2016
Background: The genetic regulation of metabolic phenotypes (i.e., metabotypes) in type 2 diabetes mellitus is caused by complex organ-specific cellular mechanisms contributing to impaired insulin secretion and insulin resistance.
Argoud, K   +20 more
core   +6 more sources

Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs. [PDF]

open access: yesPLoS ONE, 2011
BACKGROUND: Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants.
Juan Pedro Steibel   +10 more
doaj   +1 more source

FIVEx: an interactive eQTL browser across public datasets

open access: yesBioinform., 2021
SUMMARY Expression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation.
Alan M. Kwong   +6 more
semanticscholar   +1 more source

Fast eQTL Analysis for Twin Studies [PDF]

open access: yesGenetic Epidemiology, 2015
ABSTRACTTwin data are commonly used for studying complex psychiatric disorders, and mixed effects models are one of the most popular tools for modeling dependence structures between twin pairs. However, for eQTL (expression quantitative trait loci) data where associations between thousands of transcripts and millions of single nucleotide polymorphisms ...
Zhaoyu, Yin   +4 more
openaire   +2 more sources

Inference of modules associated to eQTLs [PDF]

open access: yesNucleic Acids Research, 2012
Cataloging the association of transcripts to genetic variants in recent years holds the promise for functional dissection of regulatory structure of human transcription. Here, we present a novel approach, which aims at elucidating the joint relationships between transcripts and single-nucleotide polymorphisms (SNPs). This entails detection and analysis
Kreimer, Anat   +5 more
openaire   +2 more sources

Methylation-eQTL analysis in cancer research

open access: yesBioinformatics, 2021
AbstractMotivationDNA methylation is a key epigenetic factor regulating gene expression. While promoter methylation has been well studied, recent publications have revealed that functionally important methylation also occurs in intergenic and distal regions, and varies across genes and tissue types.
Yusha Liu   +12 more
openaire   +2 more sources

HT-eQTL: integrative expression quantitative trait loci analysis in a large number of human tissues

open access: yesBMC Bioinformatics, 2018
Background Expression quantitative trait loci (eQTL) analysis identifies genetic markers associated with the expression of a gene. Most existing eQTL analyses and methods investigate association in a single, readily available tissue, such as blood. Joint
Gen Li   +3 more
doaj   +1 more source

Bipartite Community Structure of eQTLs

open access: yesPLOS Computational Biology, 2016
Genome Wide Association Studies (GWAS) and eQTL analyses have produced a large and growing number of genetic associations linked to a wide range of human phenotypes. As of 2013, there were more than 11,000 SNPs associated with a trait as reported in the NHGRI GWAS Catalog.
John Platig   +3 more
openaire   +6 more sources

Joint analysis of SNP and gene expression data in genetic association studies of complex diseases [PDF]

open access: yes, 2014
Genetic association studies have been a popular approach for assessing the association between common Single Nucleotide Polymorphisms (SNPs) and complex diseases.
Huang, Yen-Tsung   +2 more
core   +1 more source

Association between Expression Quantitative Trait Loci and Metabolic Traits in Two Korean Populations.

open access: yesPLoS ONE, 2014
Most genome-wide association studies consider genes that are located closest to single nucleotide polymorphisms (SNPs) that are highly significant for those studies.
Kyung-Won Hong   +3 more
doaj   +1 more source

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