Results 11 to 20 of about 40,172 (233)

Matrix eQTL: Ultra fast eQTL analysis via large matrix operations [PDF]

Bioinformatics, 2011
Expression quantitative trait loci (eQTL) mapping aims to determine genomic regions that regulate gene transcription. Expression QTL is used to study the regulatory structure of normal tissues and to search for genetic factors in complex diseases such as
Shabalin, Andrey A.
core   +7 more sources

eQTL epistasis – challenges and computational approaches [PDF]

Frontiers in Genetics, 2013
The determination of eQTL epistasis - a form of functional interaction between genetic loci that affect gene expression - is an important step towards the thorough understanding of gene regulation.
Yang eHuang, Stefan eWuchty, Teresa M Przytycka   +2 more
doaj   +3 more sources

Data-driven assessment of eQTL mapping methods [PDF]

BMC Genomics, 2010
Background The analysis of expression quantitative trait loci (eQTL) is a potentially powerful way to detect transcriptional regulatory relationships at the genomic scale.
Schughart Klaus, Alberts Rudi, Michaelson Jacob J, Beyer Andreas   +3 more
doaj   +5 more sources

Integrative analysis of quantitative trait loci of alternative polyadenylation and GWAS highlights key regulators of milk production and immune traits in Holstein. [PDF]

Anim Genet
Abstract Understanding the genetic regulation of complex traits like mastitis in Holstein dairy cows remains a challenge, despite significant advancements in breeding techniques. This study integrates 3′‐untranslated region alternative polyadenylation (APA) quantitative trait loci (3′aQTL) mapping with genome‐wide association studies (GWASs) to ...
Tao X, Tang Y, Liu X, Ni M, Lai W, Chen S, Yu Y.   +6 more
europepmc   +2 more sources

Meta-eQTL: a tool set for flexible eQTL meta-analysis [PDF]

BMC Bioinformatics, 2014
Increasing number of eQTL (Expression Quantitative Trait Loci) datasets facilitate genetics and systems biology research. Meta-analysis tools are in need to jointly analyze datasets of same or similar issue types to improve statistical power especially in trans-eQTL mapping. Meta-analysis framework is also necessary for ChrX eQTL discovery.We developed
Di Narzo, Antonio Fabio, Cheng, Haoxiang, Lu, Jianwei, Hao, Ke   +3 more
openaire   +2 more sources

Reveal—visual eQTL analytics [PDF]

Bioinformatics, 2012
Abstract Motivation: The analysis of expression quantitative trait locus (eQTL) data is a challenging scientific endeavor, involving the processing of very large, heterogeneous and complex data. Typical eQTL analyses involve three types of data: sequence-based data reflecting the genotypic variations, gene expression data and meta-data ...
Battke, Florian, Nieselt, Kay, Jäger, Günter   +2 more
openaire   +3 more sources

eQTL mapping identifies insertion- and deletion-specific eQTLs in multiple tissues [PDF]

Nature Communications, 2015
Genome-wide gene expression quantitative trait loci (eQTL) mapping have been focused on single-nucleotide polymorphisms and have helped interpret findings from diseases mapping studies. The functional effect of structure variants, especially short insertions and deletions (indel) has not been well investigated.
Jinyan, Huang, Jun, Chen, Jorge, Esparza, Jun, Ding, James T, Elder, Goncalo R, Abecasis, Young-Ae, Lee, G, Mark Lathrop, Miriam F, Moffatt, William O C, Cookson, Liming, Liang   +10 more
openaire   +2 more sources

A pipeline for RNA-seq based eQTL analysis with automated quality control procedures

BMC Bioinformatics, 2021
Background Advances in the expression quantitative trait loci (eQTL) studies have provided valuable insights into the mechanism of diseases and traits-associated genetic variants.
Tao Wang, Yongzhuang Liu, Junpeng Ruan, Xianjun Dong, Yadong Wang, Jiajie Peng   +5 more
doaj   +1 more source

Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art. [PDF]

Genet Epidemiol
ABSTRACT In the last decade, genome‐wide association studies (GWAS) have identified tens of thousands of common variants associated with a wide array of complex traits and diseases. Integration of GWAS with molecular data has informed the development of statistical tools for causal gene discovery.
Patasova K, Sedaghati-Khayat B, Knevel R, Cordell HJ, Pratt AG.   +4 more
europepmc   +2 more sources

An Empirical Bayes Approach for Multiple Tissue eQTL Analysis [PDF]

, 2017
Expression quantitative trait loci (eQTL) analyses, which identify genetic markers associated with the expression of a gene, are an important tool in the understanding of diseases in human and other populations.
Li, Gen, Nobel, Andrew B., Rusyn, Ivan, Shabalin, Andrey A., Wright, Fred A.   +4 more
core   +3 more sources