Results 11 to 20 of about 41,400 (238)

Identifying Therapeutic Targets for Bronchial Asthma: Systematic Druggable Genome-Wide Mendelian Randomization. [PDF]

Health Sci Rep
ABSTRACT Background The treatment and prevention of bronchial asthma continue to present significant challenges. Mendelian randomization (MR) has been extensively employed to identify novel therapeutic targets. Consequently, we conducted a systematic MR analysis across the druggable genome to identify potential therapeutic targets for asthma.
Wang H, Zhang P, Yu H, Shi L, Wang T.
europepmc   +2 more sources

Genetically Validated Immune Susceptibility Markers for Crohn's Disease: A Multi-Omics Mendelian Randomization Analysis. [PDF]

JGH Open
ABSTRACT Background Crohn's disease (CD) is a chronic inflammatory bowel disorder with a multifactorial genetic, immune, and environmental basis, yet robustly validated therapeutic targets remain limited. We applied a multi‐omics Mendelian randomization (MR) framework and colocalization to prioritize genetically supported immune susceptibility loci for
Li Z.
europepmc   +2 more sources

eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signals

BioData Mining, 2021
Background Genomic studies increasingly integrate expression quantitative trait loci (eQTL) information into their analysis pipelines, but few tools exist for the visualization of colocalization between eQTL and GWAS results.
Theodore G. Drivas, Anastasia Lucas, Marylyn D. Ritchie   +2 more
doaj   +1 more source

Transcriptional dynamics of colorectal cancer risk associated variation at 11q23.1 correlate with tuft cell abundance and marker expression in silico

Scientific Reports, 2022
Colorectal cancer (CRC) is characterised by heritable risk that is not well understood. Heritable, genetic variation at 11q23.1 is associated with increased colorectal cancer (CRC) risk, demonstrating eQTL effects on 3 cis- and 23 trans-eQTL targets.
Bradley T. Harris, Vidya Rajasekaran, James P. Blackmur, Alan O’Callaghan, Kevin Donnelly, Maria Timofeeva, Peter G. Vaughan-Shaw, Farhat V. N. Din, Malcolm G. Dunlop, Susan M. Farrington   +9 more
doaj   +1 more source

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

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

, 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   +4 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

Genome-wide co-expression analysis in multiple tissues [PDF]

, 2008
Expression quantitative trait loci (eQTLs) represent genetic control points of gene expression, and can be categorized as cis- and trans-acting, reflecting local and distant regulation of gene expression respectively.
Aitman, T.J., Cook, S.A., Dickens, N.J., Grieve, I.C., Hubner, N., Kren, V., Mangion, J., Petretto, E., Pravenec, M.   +8 more
core   +7 more sources

Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases

Scientific Reports, 2022
To create a scientific resource of expression quantitative trail loci (eQTL), we conducted a genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) of DNA and gene expression levels from RNA sequencing (RNA-seq ...
Chunyu Liu, Roby Joehanes, Jiantao Ma, Yuxuan Wang, Xianbang Sun, Amena Keshawarz, Meera Sooda, Tianxiao Huan, Shih-Jen Hwang, Helena Bui, Brandon Tejada, Peter J. Munson, Cumhur Y. Demirkale, Nancy L. Heard-Costa, Achilleas N. Pitsillides, Gina M. Peloso, Michael Feolo, Nataliya Sharopova, Ramachandran S. Vasan, Daniel Levy   +19 more
doaj   +1 more source

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

, 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, Assis, Auton, Bijvelds, Blackwell, Bonder, D'Antonio, D'Antonio-Chronowska, DeBoever, Dechecchi, DeGiorgio, Dendrou, Diwakar, Dobin, Eguchi, Ernst, Fehrmann, Freudenberg, Gambino, Gensterblum-Miller, Giambartolomei, González-Galarza, Gough, Graffelman, Guo, Hardy, Harrow, Herrmann, Holoshitz, Huang, Jakubosky, Jakubosky, Jensen, Jia, Kilpinen, Kilpinen, Klein, Kontakioti, Kundaje, Laki, Lam, Lee, Leung, Li, Li, Li, Li, Li, Lyczak, Mahdi, Mall, Matzaraki, Mayba, McNicholas, Miretti, Morison, Munder, Nariai, Norman, Oldstone, Panopoulos, Panousis, Pier, Robinson, Sondo, Stegle, Stoltz, Streeter, Tan, Tomati, Trowsdale, Van der Auwera, Vicente, Wilke, Yin, Zhang, Zheng   +76 more
core   +2 more sources