Results 31 to 40 of about 4,523 (159)

2D association and integrative omics analysis in rice provides systems biology view in trait analysis. [PDF]

, 2018
The interactions among genes and between genes and environment contribute significantly to the phenotypic variation of complex traits and may be possible explanations for missing heritability.
Dai, Xinbin, Xu, Shizhong, Zhang, Wenchao, Zhao, Patrick X   +3 more
core   +2 more sources

Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels

The Plant Genome, 2022
Sweet corn (Zea mays L.) is consistently one of the most highly consumed vegetables in the United States, providing a valuable opportunity to increase nutrient intake through biofortification.
Jenna Hershberger, Ryokei Tanaka, Joshua C. Wood, Nicholas Kaczmar, Di Wu, John P. Hamilton, Dean DellaPenna, C. Robin Buell, Michael A. Gore   +8 more
doaj   +1 more source

Multi-tissue transcriptome-wide association studies. [PDF]

, 2021
A transcriptome-wide association study (TWAS) attempts to identify disease associated genes by imputing gene expression into a genome-wide association study (GWAS) using an expression quantitative trait loci (eQTL) data set and then testing for ...
Grinberg, Nastasiya F, Wallace, Chris
core   +1 more source

Mergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration [PDF]

, 2016
Background: Human diseases are commonly the result of multidimensional changes at molecular, cellular, and systemic levels. Recent advances in genomic technologies have enabled an outpour of omics datasets that capture these changes.
Arneson, D., Bhattacharya, A., Mäkinen, V., Shu, L., Yang, X.   +4 more
core   +8 more sources

Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution [PDF]

, 2017
We show that epigenome- and transcriptome-wide association studies (EWAS and TWAS) are prone to significant inflation and bias of test statistics, an unrecognized phenomenon introducing spurious findings if left unaddressed.
't Hoen, P.-B. (Peter-Bram), 't Hoen, P.A.C. (Peter A.C.), Arindrarto, W. (Wibowo), Beekman, M. (Marian), Berg, L.H. (Leonard) van den, Bonder, M.J. (Marc), Boomsma, D.I. (Dorret), Bot, J.J. (Jan), Breggen, R. (Ruud) van der, Deelen, J. (Joris), Deelen, P. (Patrick), Dijk, F. (Freerk) van, Dongen, J. (Jenny) van, Duijn, C.M. (Cornelia) van, Franke, L. (Lude), Greevenbroek, M.M. van, Heemst, D. (Diana) van, Heijmans, B.T. (Bastiaan), Hofman, B., Hottenga, J.J. (Jouke Jan), Isaacs, A.J. (Aaron), Iterson, M. (Maarten) van, Jansen, R., Jhamai, P.M. (Mila), Kallen, C.J. van der, Kielbasa, S.M. (Szymon M.), Lakenberg, N. (Nico), Luijk, R. (René), Mei, S. (Shan), Meurs, J.B.J. (Joyce) van, Moed, H. (Heleen), Nooren, I. (Irene), Pool, R. (Reńe), Rooij, J.G.J. (Jeroen) van, Schalkwijk, C.G. (Casper), Slagboom, P.E. (Eline), Stehouwer, C.D. (Coen), Suchiman, H.E.D. (Eka), Swertz, M.A. (Morris A.), Tigchelaar, E.F. (Ettje F.), Uitterlinden, A.G. (André), van 't Hof, P. (Peter), Van Galen, M. (Michiel), Veldink, J.H. (Jan), Verbiest, M.M.P.J. (Michael), Verkerk, M. (Marijn), Vermaat, M. (Martijn), Wijmenga, C. (Cisca), Zhernakova, A. (Alexandra), Zhernakova, S. (Sasha), Zwet, E.W. (Erik) van   +50 more
core   +1 more source

Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral Sclerosis

Frontiers in Genetics, 2020
Genome-wide association studies (GWAS) have identified multiple causal genes associated with amyotrophic lateral sclerosis (ALS); however, the genetic architecture of ALS remains completely unknown and a large number of causal genes have yet been ...
Lishun Xiao, Zhongshang Yuan, Siyi Jin, Ting Wang, Shuiping Huang, Shuiping Huang, Ping Zeng, Ping Zeng   +7 more
doaj   +1 more source

Transcriptome-Wide Association Studies and Integration Analysis of mRNA Expression Profiles Identify Candidate Genes and Pathways Associated With Ankylosing Spondylitis

Frontiers in Immunology, 2022
This study aimed to identify susceptibility genes and pathways associated with ankylosing spondylitis (AS) by integrating whole transcriptome-wide association study (TWAS) analysis and mRNA expression profiling data.
Ruoyang Feng, Mengnan Lu, Lin Liu, Ke Xu, Peng Xu   +4 more
doaj   +1 more source

TWAS revealed significant causal loci for milk production and its composition in Murrah buffaloes

Scientific Reports, 2023
Milk yield is the most complex trait in dairy animals, and mapping all causal variants even with smallest effect sizes has been difficult with the genome-wide association study (GWAS) sample sizes available in geographical regions with small livestock ...
Supriya Chhotaray, Vikas Vohra, Vishakha Uttam, Ameya Santhosh, Punjika Saxena, Rajesh Kumar Gahlyan, Gopal Gowane   +6 more
doaj   +1 more source

Incorporating Sex Chromosomes in Transcriptome Prediction Models and Improving Cross-Population Prediction Performance [PDF]

, 2023
Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies.
Araujo, Daniel S
core   +1 more source

Integration of Transcriptome-Wide Association Study With Neuronal Dysfunction Assays Provides Functional Genomics Evidence for Parkinson’s Disease Genes [PDF]

, 2022
Genome-wide association studies (GWAS) have markedly advanced our understanding of the genetics of Parkinson\u27s disease (PD), but they currently do not account for the full heritability of PD.
Al-Ramahi, Ismael, Amoh, Bismark Kojo, Botas, Juan, Li, Jiayang, Mair, Megan, McCormick, Emma, Moore, Justin, Perez, Alma, Shulman, Joshua M, Tarkunde, Akash, Zhu, Katy Fan   +10 more
core   +2 more sources