Results 31 to 40 of about 41,900,780 (178)

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

Brain Proteome-Wide Association Study Identifies Candidate Genes that Regulate Protein Abundance Associated with Post-Traumatic Stress Disorder

, 2022
Although previous genome-wide association studies (GWASs) on post-traumatic stress disorder (PTSD) have identified multiple risk loci, how these loci confer risk of PTSD remains unclear. Through the FUSION pipeline, we integrated two human brain proteome
Zhen Zhang, Liu, Li, Jia, Yumeng, Cheng, Shiqiang, Yao, Yao, Yan Wen, Jingxi Zhang, Yujing Chen, Yao Yao, Chen, Yujing, Peilin Meng, Shiqiang Cheng, Zhang, Huijie, Wen, Yan, Chuyu Pan, Zhang, Feng, Chun’e Li, Zhang, Zhen, Pan, Chuyu, Li Liu, Feng Zhang, Yang, Xuena, Huijie Zhang, Li, Chun’e, Xuena Yang, Yumeng Jia, Meng, Peilin, Zhang, Jingxi   +27 more
core   +1 more source

Identifying causal genes for migraine by integrating the proteome and transcriptome

The Journal of Headache and Pain, 2023
Background While previous genome-wide association studies (GWAS) have identified multiple risk variants for migraine, there is a lack of evidence about how these variants contribute to the development of migraine.
Shuang-jie Li, Jing-jing Shi, Cheng-yuan Mao, Chan Zhang, Ya-fang Xu, Yu Fan, Zheng-wei Hu, Wen-kai Yu, Xiao-yan Hao, Meng-jie Li, Jia-di Li, Dong-rui Ma, Meng-nan Guo, Chun-yan Zuo, Yuan-yuan Liang, Yu-ming Xu, Jun Wu, Shi-lei Sun, Yong-gang Wang, Chang-he Shi   +19 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

Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits [PDF]

, 2021
Structural variations of the human brain are heritable and highly polygenic traits, with hundreds of associated genes identified in recent genome-wide association studies (GWAS).
Yang, Y., Yu, Z., Zhu, Z., Sullivan, P., Zhao, B., Luo, T., Li, T., Shan, Y., Wang, X., Li, Y., Zhao, H., Zhu, H.   +11 more
core   +1 more source

Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes [PDF]

, 2022
The majority of risk loci identified by genome-wide association studies (GWAS) are in non-coding regions, hampering their functional interpretation. Instead, transcriptome-wide association studies (TWAS) identify gene-trait associations, which can be ...
Ma, Angela, Kessler, Thorsten, Li, Ling, Pang, Shichao, Güldener, Ulrich, Ermel, Raili, Sukhavasi, Katyayani, Schunkert, Heribert, Steiner, Andrea, Hao, Ke, Pan, Calvin, Ruusalepp, Arno, Chen, Zhifen, Lusis, Aldons, Kovacic, Jason, Li, Shuangyue, Erdmann, Jeanette, von Scheidt, Moritz, Gagneur, Julien, Björkegren, Johan, Koplev, Simon, Chen, Z, Li, L, Hao, K, von, Scheidt M, Li, Ling ; Chen, Zhifen ; von Scheidt, Moritz ; Li, Shuangyue ; Steiner, Andrea ; Güldener, Ulrich ; Koplev, Simon ; Ma, Angela ; Hao, Ke ; Pan, Calvin ; Lusis, Aldons J. ; Pang, Shichao ; Kessler, Thorsten ; Ermel, Raili ; Sukhavasi, Katyayani ; Ruusalepp, Arno ; Gagneur, Julien ; Erdmann, Jeanette ; Kovacic, Jason C. ; Björkegren, Johan L. M. ; Schunkert, Heribert, Ma, A, Koplev, S, Steiner, A, Gueldener, U, Li, S, Pan, C   +31 more
core   +1 more source

Cross-population Transcriptome Prediction Models for Transcriptome-Wide Association Studies in Diverse Populations

, 2022
Genome-wide association studies (GWAS) have been utilized to find associations between single nucleotide polymorphisms (SNPs) and traits. However, most GWAS are conducted on populations of European ancestries. Further analysis involving the transcriptome
Nguyen, Christopher, Wheeler, Dr. Heather, Araujo, Daniel   +2 more
core   +1 more source

Identifying celiac disease-related chemicals by transcriptome-wide association study and chemical-gene interaction analyses

Frontiers in Genetics, 2022
Celiac disease (CeD) is one of the most common intestinal inflammatory diseases, and its incidence and prevalence have increased over time. CeD affects multiple organs and systems in the body, and environmental factors play a key role in its complex ...
Mengnan Lu, Ruoyang Feng, Yuesheng Liu, Yujie Qin, Hongyang Deng, Yanfeng Xiao, Chunyan Yin   +6 more
doaj   +1 more source

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.
Duijn, C.M. (Cornelia) van, Kielbasa, S.M. (Szymon M.), Dijk, F. (Freerk) van, Van Galen, M. (Michiel), Meurs, J.B.J. (Joyce) van, Arindrarto, W. (Wibowo), Deelen, P. (Patrick), Dongen, J. (Jenny) van, Greevenbroek, M.M. van, Jhamai, P.M. (Mila), Breggen, R. (Ruud) van der, Tigchelaar, E.F. (Ettje F.), Beekman, M. (Marian), Vermaat, M. (Martijn), Wijmenga, C. (Cisca), Nooren, I. (Irene), Slagboom, P.E. (Eline), Franke, L. (Lude), Mei, S. (Shan), Suchiman, H.E.D. (Eka), 't Hoen, P.A.C. (Peter A.C.), Swertz, M.A. (Morris A.), Uitterlinden, A.G. (André), Pool, R. (Reńe), Hofman, B., Zwet, E.W. (Erik) van, Lakenberg, N. (Nico), Jansen, R., Deelen, J. (Joris), 't Hoen, P.-B. (Peter-Bram), Berg, L.H. (Leonard) van den, Schalkwijk, C.G. (Casper), Verkerk, M. (Marijn), van 't Hof, P. (Peter), Rooij, J.G.J. (Jeroen) van, Bot, J.J. (Jan), Veldink, J.H. (Jan), Heemst, D. (Diana) van, Isaacs, A.J. (Aaron), Moed, H. (Heleen), Boomsma, D.I. (Dorret), Luijk, R. (René), Iterson, M. (Maarten) van, Zhernakova, S. (Sasha), Bonder, M.J. (Marc), Kallen, C.J. van der, Heijmans, B.T. (Bastiaan), Stehouwer, C.D. (Coen), Verbiest, M.M.P.J. (Michael), Hottenga, J.J. (Jouke Jan), Zhernakova, A. (Alexandra)   +50 more
core   +6 more sources

Integrative Analysis of Transcriptome-Wide Association Study and mRNA Expression Profiles Identified Candidate Genes and Pathways Associated With Acute Myocardial Infarction

Frontiers in Genetics, 2021
BackgroundAcute myocardial infarction (AMI), characterized by an event of myocardial necrosis, is a common cardiac emergency worldwide. However, the genetic mechanisms of AMI remain largely elusive.MethodsA genome-wide association study dataset of AMI ...
Guanzhong Chen, Guanzhong Chen, Liwei Liu, Liwei Liu, Huanqiang Li, Zhubin Lun, Zhubin Lun, Ziling Mai, Ziling Mai, Wenguang Lai, Wenguang Lai, Enzhao Chen, Chunyun Zhou, Sijia Yu, Sijia Yu, Junqing Yang, Shiqun Chen, Jiyan Chen, Jiyan Chen, Jiyan Chen, Yong Liu, Yong Liu, Yong Liu   +22 more
doaj   +1 more source