Results 51 to 60 of about 48,393 (270)

Integrative analysis of summary data from GWAS and eQTL studies implicates genes differentially expressed in Alzheimer’s disease

BMC Genomics, 2022
Although genome-wide association studies (GWAS) have successfully located various genetic variants susceptible to Alzheimer’s Disease (AD), it is still unclear how specific variants interact with genes and tissues to elucidate pathologies associated with
Brian N. Lee, Xiaohui Yao, Li Shen
semanticscholar   +1 more source

Expression quantitative trait loci (eQTL) mapping in Puerto Rican children. [PDF]

PLoS ONE, 2015
Expression quantitative trait loci (eQTL) have been identified using tissue or cell samples from diverse human populations, thus enhancing our understanding of regulation of gene expression.
Wei Chen, John M Brehm, Jerome Lin, Ting Wang, Erick Forno, Edna Acosta-Pérez, Nadia Boutaoui, Glorisa Canino, Juan C Celedón   +8 more
doaj   +1 more source

Cell Specific eQTL Analysis without Sorting Cells [PDF]

PLOS Genetics, 2015
The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available.
Westra, Harm-Jan, Arends, Danny, Peters, Marjolein J., Schurmann, Claudia, Schramm, Katharina, Kettunen, Johannes, Yaghootkar, Hanieh, Fairfax, Benjamin P., Andiappan, Anand Kumar, Li, Yang, Fu, Jingyuan, Karjalainen, Juha, Platteel, Mathieu, Visschedijk, Marijn, Weersma, Rinse K., Kasela, Silva, Milani, Lili, Tserel, Liina, Peterson, Pärt, Reinmaa, Eva, Hofman, Albert, Uitterlinden, André G., Rivadeneira, Fernando, Homuth, Georg, Petersmann, Astrid, Lorbeer, Roberto, Prokisch, Holger, Meitinger, Thomas, Herder, Christian, Roden, Michael, Grallert, Harald, Ripatti, Samuli, Perola, Markus, Wood, Andrew R., Melzer, David, Ferrucci, Luigi, Singleton, Andrew B., Hernandez, Dena G., Knight, Julian C., Melchiotti, Rossella, Lee, Bernett, Poidinger, Michael, Zolezzi, Francesca, Larbi, Anis, Wang, De Yun, van den Berg, Leonard H., Veldink, Jan H., Rotzschke, Olaf, Makino, Seiko, Salomaa, Veikko, Strauch, Konstantin, Völker, Uwe, van Meurs, Joyce B. J., Metspalu, Andres, Wijmenga, Cisca, Jansen, Ritsert C., Franke, Lude, Esko, Tõnu   +57 more
openaire   +12 more sources

EPSILON: an eQTL prioritization framework using similarity measures derived from local networks [PDF]

, 2013
Motivation: When genomic data are associated with gene expression data, the resulting expression quantitative trait loci (eQTL) will likely span multiple genes.
Cloots, Lore, Demeester, Piet, Fostier, Jan, Marchal, Kathleen, Verbeke, Lieven   +4 more
core   +2 more sources

eqtl

, 2022
eqtl ...
openaire   +1 more source

Identification of a functional genetic variant driving racially dimorphic platelet gene expression of the thrombin receptor regulator, PCTP. [PDF]

, 2017
Platelet activation in response to stimulation of the Protease Activated Receptor 4 (PAR4) receptor differs by race. One factor that contributes to this difference is the expression level of Phosphatidylcholine Transfer Protein (PCTP), a regulator of ...
Bray, Paul F., Edelstein, Leonard C., Holinstat, Michael, Kong, Xianguo, Shaw, Chad A., Simon, Lukas M.   +5 more
core   +3 more sources

An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci.

PLoS Computational Biology, 2017
Genome-wide expression Quantitative Trait Loci (eQTL) studies in humans have provided numerous insights into the genetics of both gene expression and complex diseases.
Jin Hyun Ju, Sushila A Shenoy, Ronald G Crystal, Jason G Mezey   +3 more
doaj   +1 more source

CoMM-S4: A Collaborative Mixed Model Using Summary-Level eQTL and GWAS Datasets in Transcriptome-Wide Association Studies

Frontiers in Genetics, 2021
Motivation: Genome-wide association studies (GWAS) have achieved remarkable success in identifying SNP-trait associations in the last decade. However, it is challenging to identify the mechanisms that connect the genetic variants with complex traits as ...
Yi Yang, Kar-Fu Yeung, Jin Liu
doaj   +1 more source

eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects

PLoS Genetics, 2022
Using information from allele-specific gene expression (ASE) can improve the power to map gene expression quantitative trait loci (eQTLs). However, such practice has been limited, partly due to computational challenges and lack of clarification on the ...
Vasyl Zhabotynsky, Licai Huang, Paul Little, Yijuan Hu, F. Pardo-Manuel de Villena, F. Zou, Wei Sun   +6 more
semanticscholar   +1 more source

eQTL Mapping Using RNA-seq Data [PDF]

Statistics in Biosciences, 2012
As RNA-seq is replacing gene expression microarrays to assess genome-wide transcription abundance, gene expression Quantitative Trait Locus (eQTL) studies using RNA-seq have emerged. RNA-seq delivers two novel features that are important for eQTL studies.
Wei, Sun, Yijuan, Hu
openaire   +2 more sources