Results 51 to 60 of about 41,400 (238)

LORSEN: Fast and Efficient eQTL Mapping With Low Rank Penalized Regression

Frontiers in Genetics, 2021
Characterization of genetic variations that are associated with gene expression levels is essential to understand cellular mechanisms that underline human complex traits.
Cheng Gao, Hairong Wei, Kui Zhang
doaj   +1 more source

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

Advanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan, Wentao Gong, Xiaodian Cai, Jinyan Teng, Jiali Cai, Haonan Zeng, Wondossen Ayalew, Qingpeng Shen, Zhanming Zhong, Yifei Wang, Wenjing Zhang, Yuhan Tian, Dantong Xu, Yahui Gao, Hongwei Yin, Yuebo Zhang, Jiahui Hou, Tianru Zhou, Jiaqi Li, Lingzhao Fang, Xiaolong Yuan, Zhe Zhang   +21 more
wiley   +1 more source

Integrative Genomics Reveals Causal Pleiotropy and Therapeutic Opportunities at the Interface of Acute Pancreatitis and Infection

Journal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Background Understanding the genetic links between acute pancreatitis (AP) and its infectious comorbidities is crucial for prognosis and therapy, yet remains underexplored. Methods We conducted a comprehensive post‐GWAS analysis using large‐scale summary statistics for AP and 16 infectious diseases. To pinpoint pleiotropic genes, we integrated
Bo Zou, Hao Jiang, Jingsheng Ruan, Daifeng Yang, Xing Chen, Shanshan Cai, Xinglin Yi   +6 more
wiley   +1 more source

A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver

Scientific Reports, 2018
Genome-wide association studies (GWAS) have identified numerous genetic variants in the human genome associated with diseases and traits. Nevertheless, for most loci the causative variant is still unknown.
Tobias Strunz, Felix Grassmann, Javier Gayán, Satu Nahkuri, Debora Souza-Costa, Cyrille Maugeais, Sascha Fauser, Everson Nogoceke, Bernhard H. F. Weber   +8 more
doaj   +1 more source

Integrative analysis of low- and high-resolution eQTL.

PLoS ONE, 2010
The study of expression quantitative trait loci (eQTL) is a powerful way of detecting transcriptional regulators at a genomic scale and for elucidating how natural genetic variation impacts gene expression.
Salvatore Loguercio, Rupert W Overall, Jacob J Michaelson, Tim Wiltshire, Mathew T Pletcher, Brooke H Miller, John R Walker, Gerd Kempermann, Andrew I Su, Andreas Beyer   +9 more
doaj   +1 more source

Expression Quantitative Trait Locus Study of Non-Syndromic Cleft Lip with or without Cleft Palate GWAS Variants in Lip Tissues

Cells, 2022
Non-syndromic cleft lip with or without cleft palate (NSCL/P) is a complex disease with a strong genetic component. More than 40 loci have been identified to be associated with the risk of NSCL/P by genome-wide association studies (GWASs), but the ...
Xiaofeng Li, Yu Tian, Ling Qiu, Shu Lou, Guirong Zhu, Yue Gao, Lan Ma, Yongchu Pan   +7 more
doaj   +1 more source

MendelR: A One‐Stop R Toolkit for Mendelian Randomization Analysis

Med Research, EarlyView.
ABSTRACT MendelR is a fully automated R package specifically developed for Mendelian randomization (MR) studies, designed to address the technical challenges of causal inference in biomedical research. As a powerful causal inference method, Mendelian randomization can effectively reduce confounding bias in observational studies.
Xiaohong Ke, Kailai Li, Anqi Lin, Yasi Zhang, Peng Luo   +4 more
wiley   +1 more source

Overlap between eQTL and QTL associated with production traits and fertility in dairy cattle

BMC Genomics, 2019
Background Identifying causative mutations or genes through which quantitative trait loci (QTL) act has proven very difficult. Using information such as gene expression may help to identify genes and mutations underlying QTL.
I. van den Berg, B. J. Hayes, A. J. Chamberlain, M. E. Goddard   +3 more
doaj   +1 more source

Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene-environment interactions

, 2014
Genetic association analyses often involve data from multiple potentially-heterogeneous subgroups. The expected amount of heterogeneity can vary from modest (e.g., a typical meta-analysis) to large (e.g., a strong gene--environment interaction). However,
Stephens, Matthew, Wen, Xiaoquan
core   +1 more source

Genetic determinants of co-accessible chromatin regions in activated T cells across humans. [PDF]

, 2018
Over 90% of genetic variants associated with complex human traits map to non-coding regions, but little is understood about how they modulate gene regulation in health and disease.
A Barrie, A Battle, A Franke, AA Shabalin, AM Klein, AR Quinlan, Atsede Siba, Aviv Regev, Aviva P. Aiden, B Li, BE Stranger, C Hou, Christine S. Cheng, Christophe Benoist, Chun J. Ye, CJ Ye, CK Stroud, D Hnisz, D Lee, D Sakata, DE Speiser, Dmytro Lituiev, E Elinav, E Splinter, EM Schmidt, Erez Lieberman Aiden, EZ Macosko, G Jun, G McVicker, H Kilpinen, H Li, H Li, HK Finucane, HM Kang, Howard Y. Chang, Ido Machol, Ivo Wortman, J Yang, JD Buenrostro, JD Buenrostro, JD Storey, JE Phillips, JF Degner, JN Hirschhorn, JS Delisle, K Enjyoji, Kendrick L. Hougen, KK Farh, L Chen, L Plesner, M Feuerer, M Ghandi, M Kasowski, M Kronenberg, M Kurachi, M. Grace Gordon, Marcin Tabaka, MB Gerstein, Meena Subramaniam, MI Love, MI McCarthy, Michael A. Beer, MN Lee, MT Maurano, Muhammad Shamim, MY Donath, N Kumasaka, NC Durand, Neva C. Durand, NP Restifo, P Cauchy, P Li, PC Hollenhorst, Philip L. De Jager, PM Visscher, PS Ohashi, R Satija, Rachel E. Gate, RE Thurman, RM Samstein, Roadmap Epigenomics Consortium,, S Deaglio, S Heinz, S Neph, SM Waszak, SS Rao, Su-Chen Huang, T Lappalainen, T Raj, The ENCODE Project Consortium., Ting Feng, TL Murphy, UM Marigorta, WA Whyte, WJ Astle, X Chen, X Sun, Y Belkaid, Y Zhang, YY Fan   +99 more
core   +2 more sources