Results 31 to 40 of about 48,393 (270)

The eQTL colocalization and transcriptome-wide association study identify potentially causal genes responsible for economic traits in Simmental beef cattle

Journal of Animal Science and Biotechnology, 2023
Background A detailed understanding of genetic variants that affect beef merit helps maximize the efficiency of breeding for improved production merit in beef cattle.
Wentao Cai, Yapeng Zhang, Tianpeng Chang, Zezhao Wang, B. Zhu, Yan Chen, Xue Gao, Lingyang Xu, Lupei Zhang, Huijiang Gao, Jiuzhou Song, Junya Li   +11 more
semanticscholar   +1 more source

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

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

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

Dissecting the eQTL Micro-Architecture in Caenorhabditis elegans

Frontiers in Genetics, 2020
The study of expression quantitative trait loci (eQTL) using natural variation in inbred populations has yielded detailed information about the transcriptional regulation of complex traits.
Mark G. Sterken, Roel P. J. Bevers, Rita J. M. Volkers, Joost A. G. Riksen, Jan E. Kammenga, Basten L. Snoek, Basten L. Snoek   +6 more
doaj   +1 more source

Cell type-specific and disease-associated eQTL in the human lung

bioRxiv, 2023
Common genetic variants confer substantial risk for chronic lung diseases, including pulmonary fibrosis (PF). Defining the genetic control of gene expression in a cell-type-specific and context-dependent manner is critical for understanding the ...
H. Natri, Christina B. Del Azodi, L. Peter, C. Taylor, S. Chugh, Robert Kendle, M. Chung, D. Flaherty, Brittany K. Matlock, C. Calvi, T. Blackwell, L. Ware, M. Bacchetta, R. Walia, C. Shaver, JA Kropski, Davis J. McCarthy, N. Banovich   +17 more
semanticscholar   +1 more source

Integration of eQTL and machine learning to dissect causal genes with pleiotropic effects in genetic regulation networks of seed cotton yield.

Cell Reports, 2023
The dissection of a gene regulatory network (GRN) that complements the genome-wide association study (GWAS) locus and the crosstalk underlying multiple agronomical traits remains a major challenge.
Ting Zhao, Hongyuan Wu, Xutong Wang, Yongyan Zhao, Luyao Wang, Jiaying Pan, Huan Mei, Jin Han, Siyuan Wang, Kening Lu, Menglin Li, Mengtao Gao, Zeyi Cao, Hailin Zhang, Ke Wan, Jie Li, Lei Fang, Tianzhen Zhang, Xueying Guan   +18 more
semanticscholar   +1 more source

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

Single-cell eQTL analysis of activated T cell subsets reveals activation and cell type–dependent effects of disease-risk variants

Science immunology, 2022
The impact of genetic variants on cells challenged in biologically relevant contexts has not been fully explored. Here, we activated CD4+ T cells from 89 healthy donors and performed a single-cell RNA sequencing assay with >1 million cells to examine ...
Benjamin J. Schmiedel, Cristian González-Colín, Vicente Fajardo, Job Rocha, A. Madrigal, C. Ramírez-Suástegui, Sourya Bhattacharyya, Hayley Simon, J. Greenbaum, Bjoern Peters, G. Seumois, F. Ay, Vivek Chandra, P. Vijayanand   +13 more
semanticscholar   +1 more source

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