Results 121 to 130 of about 48,393 (270)

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

Whole-genome sequencing to understand the genetic architecture of common gene expression and biomarker phenotypes. [PDF]

, 2014
Initial results from sequencing studies suggest that there are relatively few low-frequency (<5%) variants associated with large effects on common phenotypes. We performed low-pass whole-genome sequencing in 680 individuals from the InCHIANTI study to
Almeida, Marcio, Bandinelli, Stefania, Blangero, John, Curran, Joanne E, Duggirala, Ravindranath, Ferrucci, Luigi, Frayling, Timothy M, Gaulton, Kyle, Gibbs, J Raphael, Göring, Harald HH, Hernandez, Dena, Johnson, Matthew P, Jun, Goo, Li, Qibin, Lin, Haoxiang, Mccarthy, Mark I, Melzer, David, Murray, Anna, Nalls, Mike, Pearson, Richard, Perry, John RB, Rivas, Manny, Shen, Juan, Singleton, Andrew, Tanaka, Toshiko, Tuke, Marcus A, Weedon, Michael N, Wood, Andrew R, Xu, Christopher S   +28 more
core   +3 more sources

TREM2 in Macrophages Promotes Renal Fibrosis via Activation of β‐Catenin Signalling Pathway in Obstructive Nephropathy

Cell Proliferation, EarlyView.
Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) promotes obstructive nephropathy progression by activating the β‐catenin signalling pathway, driving M2 macrophage polarisation, migration and fibrogenic gene expression. targeted inhibition of TREM2 thus represents a promising novel strategy against renal fibrosis.
Jia Wei, Zixia Li, Gengyu Du, Ting Chen, Min Yang, Zhen Yuan, Yidan Zheng, Xiang Yan   +7 more
wiley   +1 more source

Common Genetic Variant Association with Altered HLA Expression, Synergy with Pyrethroid Exposure, and Risk for Parkinson's Disease: An Observational and Case-Control Study. [PDF]

, 2015
Background/objectivesThe common non-coding single nucleotide polymorphism (SNP) rs3129882 in HLA-DRA is associated with risk for idiopathic Parkinson's disease (PD).
Boss, JM, Bronstein, J, Chang, J, Chung, J, Cook, DA, Factor, SA, Kannarkat, GT, Lee, J-K, Paul, KC, Ritz, B, Sandy, E, Tansey, MG   +11 more
core   +2 more sources

Modeling expression quantitative trait loci in data combining ethnic populations

BMC Bioinformatics, 2010
Background Combining data from different ethnic populations in a study can increase efficacy of methods designed to identify expression quantitative trait loci (eQTL) compared to analyzing each population independently.
Hsieh Ai-Ru, Lian Ie-Bin, Hsiao Ching-Lin, Fann Cathy SJ   +3 more
doaj   +1 more source

PanGraphRNA: An efficient and flexible bioinformatics platform for graph pangenome‐based RNA‐seq data analysis

Journal of Integrative Plant Biology, EarlyView.
PanGraphRNA is an easy‐to‐use platform that improves RNA‐seq analysis by using graph pangenomes instead of a single reference genome. It increases read alignment accuracy, detects important genes missed by traditional methods, and works across major crops, helping researchers obtain more reliable transcriptome results for diverse plant research and ...
Yifan Bu, Zhixu Qiu, Wen Sun, Yishui Han, Yifan Liu, Jing Yang, Minggui Song, Zenglin Li, Songyu Liu, Yuzhou Zhang, Chuang Ma   +10 more
wiley   +1 more source

Detection of regulator genes and eQTLs in gene networks

, 2016
Genetic differences between individuals associated to quantitative phenotypic traits, including disease states, are usually found in non-coding genomic regions.
A Butte, A Chatr-Aryamontri, A Clauset, A Joshi, A Joshi, A Kundaje, AA Shabalin, AJ Enright, AJ Walhout, AS Dimas, B Schwanhausser, B Zhang, B Zhang, C Cenik, CO Daub, D Koller, DA Cusanovich, DM Greenawalt, E Bonnet, E Ravasz, E Segal, EC Neto, EC Neto, EC Neto, EE Schadt, EE Schadt, EE Schadt, EE Schadt, EE Schadt, EJ Foss, F Grubert, F Yue, FA Cubillos, FW Albert, G Hemani, G Nicholson, GD Smith, GH Golub, H Foroughi Asl, H Talukdar, HN Kadarmideen, J Millstein, J Qi, J Zhu, J Zhu, J Zhu, JE Aten, JF Ayroles, JJ Faith, JL Björkegren, JS Liu, K Basso, K Qu, KG Ardlie, L Wu, LA Hindorff, LH Hartwell, LS Chen, M Ashburner, M Civelek, M Georges, M Gerstein, M Medvedovic, M Schmidt, M Scutari, MA Schaub, MB Eisen, MD Ritchie, ME Goddard, MEJ Newman, MEJ Newman, MV Rockman, MV Rockman, N Friedman, N Friedman, N Friedman, N Laird, O Stegle, P Langfelder, P Langfelder, P Langfelder, P Lu, R Sharan, R Sharan, RB Brem, RW Williams, S Lee, S Roy, S Tavazoie, SI Lee, SM Waszak, SS Rao, T Lappalainen, T Michoel, TA Manolio, TF Mackay, The ENCODE, TS Furey, VG Cheung, W Cookson, W Zhang, Y Chen, Y Li   +102 more
core   +1 more source

Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs

BMC Genomics, 2019
Background Economically important growth and meat quality traits in pigs are controlled by cascading molecular events occurring during development and continuing throughout the conversion of muscle to meat.
Deborah Velez-Irizarry, Sebastian Casiro, Kaitlyn R. Daza, Ronald O. Bates, Nancy E. Raney, Juan P. Steibel, Catherine W. Ernst   +6 more
doaj   +1 more source

Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits

Genetics Selection Evolution, 2020
Background Genetic analysis of gene expression level is a promising approach for characterizing candidate genes that are involved in complex economic traits such as meat quality. In the present study, we conducted expression quantitative trait loci (eQTL)
Yan Liu, Xiaolei Liu, Zhiwei Zheng, T. Ma, Ying Liu, H. Long, Huijun Cheng, M. Fang, Jing Gong, Xinyun Li, Shuhong Zhao, Xuewen Xu   +11 more
semanticscholar   +1 more source

A Principled Framework for Mendelian Randomization in Oral Health Research

Journal of Periodontal Research, EarlyView.
This methodological article provides a clear and accessible overview of Mendelian randomization for oral health researchers, emphasizing the core assumptions needed for credible causal inference. Focusing on applications in oral health, particularly periodontitis, it highlights both the strengths and limitations of the study design in order to support ...
Nasir Z. Bashir, Mario Romandini, Moritz Kebschull, Konstantinos K. Tsilidis, Dominique S. Michaud, Stephen Burgess   +5 more
wiley   +1 more source