Results 31 to 40 of about 46,677 (295)

Expression quantitative trait loci in sheep liver and muscle contribute to variations in meat traits

Genetics Selection Evolution, 2021
Background Variants that regulate transcription, such as expression quantitative trait loci (eQTL), have shown enrichment in genome-wide association studies (GWAS) for mammalian complex traits. However, no study has reported eQTL in sheep, although it is
Zehu Yuan, Bolormaa Sunduimijid, Ruidong Xiang, Ralph Behrendt, Matthew I. Knight, Brett A. Mason, Coralie M. Reich, Claire Prowse-Wilkins, Christy J. Vander Jagt, Amanda J. Chamberlain, Iona M. MacLeod, Fadi Li, Xiangpeng Yue, Hans D. Daetwyler   +13 more
doaj   +1 more source

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

, 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, Lin, Xihong, VanderWeele, Tyler J.   +2 more
core   +1 more source

FIVEx: an interactive eQTL browser across public datasets

Bioinform., 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, Andrew P. Boughton, Mukai Wang, Peter Vandehaar, M. Boehnke, G. Abecasis, H. Kang   +6 more
semanticscholar   +1 more source

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Genome Biology, 2021
Background Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states.
Anna S. E. Cuomo, Giordano Alvari, Christina B. Azodi, single-cell eQTLGen consortium, Davis J. McCarthy, Marc Jan Bonder   +5 more
doaj   +1 more source

Transcription factor regulation of eQTL activity across individuals and tissues

bioRxiv, 2021
Tens of thousands of genetic variants associated with gene expression (cis-eQTLs) have been discovered in the human population. These eQTLs are active in various tissues and contexts, but the molecular mechanisms of eQTL variability are poorly understood,
Elise D. Flynn, Athena L. Tsu, S. Kasela, Sarah Kim-Hellmuth, F. Aguet, K. Ardlie, H. Bussemaker, P. Mohammadi, T. Lappalainen   +8 more
semanticscholar   +1 more source

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases

Journal of Integrative Bioinformatics, 2018
Comorbidity, a co-incidence of several disorders in an individual, is a common phenomenon. Their development is governed by multiple factors, including genetic variation.
Bragina Elena Yu., Goncharova Irina A., Garaeva Anna F., Nemerov Evgeniy V., Babovskaya Anastasija A., Karpov Andrey B., Semenova Yulia V., Zhalsanova Irina Z., Gomboeva Densema E., Saik Olga V., Zolotareva Olga I., Ivanisenko Vladimir A., Dosenko Victor E., Hofestaedt Ralf, Freidin Maxim B.   +14 more
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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

Using genomic annotations increases statistical power to detect eGenes. [PDF]

, 2016
MotivationExpression quantitative trait loci (eQTLs) are genetic variants that affect gene expression. In eQTL studies, one important task is to find eGenes or genes whose expressions are associated with at least one eQTL. The standard statistical method
Duong, Dat, Ernst, Jason, Eskin, Eleazar, Han, Buhm, Hormozdiari, Farhad, Sul, Jae Hoon, Zou, Jennifer   +6 more
core   +1 more source

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

bioRxiv, 2018
Summary While many disease-associated variants have been identified through genome-wide association studies, their downstream molecular consequences remain unclear.
U. Võsa, A. Claringbould, H. Westra, M. Bonder, Patrick Deelen, B. Zeng, H. Kirsten, A. Saha, Roman Kreuzhuber, S. Kasela, N. Pervjakova, Isabel Alvaes, M. Favé, M. Agbessi, M. Christiansen, R. Jansen, I. Seppälä, L. Tong, A. Teumer, K. Schramm, G. Hemani, J. Verlouw, H. Yaghootkar, Reyhan Sonmez, A. Andrew, V. Kukushkina, A. Kalnapenkis, S. Rüeger, E. Porcu, J. Kronberg-Guzman, J. Kettunen, J. Powell, Bernett Lee, Futao Zhang, W. Arindrarto, F. Beutner, H. Brugge, Julia Dmitrieva, Mahmoud Elansary, B. Fairfax, M. Georges, B. Heijmans, M. Kähönen, Yungil Kim, J. Knight, P. Kovacs, K. Krohn, Shuang Li, M. Loeffler, U. Marigorta, Hailang Mei, Y. Momozawa, M. Müller-Nurasyid, M. Nauck, M. Nivard, B. Penninx, J. Pritchard, O. Raitakari, O. Rötzschke, E. Slagboom, C. Stehouwer, M. Stumvoll, P. Sullivan, P. Hoen, J. Thiery, A. Tönjes, J. Dongen, M. Iterson, J. Veldink, U. Völker, C. Wijmenga, M. Swertz, A. Andiappan, G. Montgomery, S. Ripatti, M. Perola, Z. Kutalik, E. Dermitzakis, S. Bergmann, T. Frayling, J. Meurs, H. Prokisch, H. Ahsan, B. Pierce, T. Lehtimäki, D. Boomsma, B. Psaty, Sina A. Gharib, P. Awadalla, L. Milani, W. Ouwehand, K. Downes, O. Stegle, A. Battle, Jian Yang, P. Visscher, M. Scholz, G. Gibson, T. Esko, L. Franke   +99 more
semanticscholar   +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