Results 31 to 40 of about 92,622 (257)

Transcriptome-wide association studies accounting for colocalization using Egger regression [PDF]

Genetic Epidemiology, 2017
AbstractIntegrating genome-wide association (GWAS) and expression quantitative trait locus (eQTL) data into transcriptome-wide association studies (TWAS) based on predicted expression can boost power to detect novel disease loci or pinpoint the susceptibility gene at a known disease locus.
Richard Barfield, Helian Feng, Alexander Gusev, Lang Wu, Wei Zheng, Bogdan Pasaniuc, Peter Kraft   +6 more
openaire   +3 more sources

Transcriptome-wide association studies: opportunities and challenges [PDF]

, 2017
Transcriptome-wide association studies (TWAS) integrate GWAS and gene expression datasets to find gene-trait associations. In this Perspective, we explore properties of TWAS as a potential approach to prioritize causal genes, using simulations and case studies of literature-curated candidate causal genes for schizophrenia, LDL cholesterol and Crohn’s ...
Wainberg, Michael, Sinnott-Armstrong, Nasa, Mancuso, Nicholas, Barbeira, Alvaro N., Knowles, David A, Golan, David, Ermel, Raili, Ruusalepp, Arno, Quertermous, Thomas, Hao, Ke, Björkegren, Johan LM, Kyung Im, Hae, Pasaniuc, Bogdan, Rivas, Manuel A, Kundaje, Anshul   +14 more
openaire   +1 more source

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

Transcriptome‐wide association study identifies multiple genes and pathways associated with pancreatic cancer

Cancer Medicine, 2018
Aim To identify novel candidate genes for pancreatic cancer. Methods We performed a transcriptome‐wide association study (TWAS) analysis of pancreatic cancer (PC).
Liuyun Gong, Dan Zhang, Yutiantian Lei, Yuanjie Qian, Xinyue Tan, Suxia Han   +5 more
doaj   +1 more source

A microRNA Transcriptome-wide Association Study of Prostate Cancer Risk

Frontiers in Genetics, 2022
Large genome-wide association studies have identified hundreds of single-nucleotide polymorphisms associated with increased risk of prostate cancer (PrCa), and many of these risk loci is presumed to confer regulatory effects on gene expression. While eQTL studies of long RNAs has yielded many potential risk genes, the relationship between PrCa risk ...
Larson, Nicholas B., McDonnell, Shannon K., Fogarty, Zachary, Liu, Yuanhang, French, Amy J., Tillmans, Lori S., Cheville, John C., Wang, Liang, Schaid, Daniel J., Thibodeau, Stephen N.   +9 more
openaire   +3 more sources

Transcriptome-wide association study of inflammatory biologic age

Aging, 2017
Chronic low grade inflammation is a fundamental mechanism of aging. We estimated biologic age using nine biomarkers from diverse inflammatory pathways and we hypothesized that genes associated with inflammatory biological age would provide insights into human aging. In Framingham Offspring Study participants at examination 8 (2005 to 2008), we used the
Lin, Honghuang, Lunetta, Kathryn L., Zhao, Qiang, Rong, Jian, Benjamin, Emelia J., Levy, Daniel, Larson, Martin G., Murabito, Joanne M., Mendelson, Michael, Joehanes, Roby   +9 more
openaire   +3 more sources

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 Study Reveals Two Genes that Influence Mismatch Negativity [PDF]

SSRN Electronic Journal, 2020
Mismatch negativity (MMN) is a differential electrophysiological response measuring cortical adaptability to unpredictable stimuli. MMN is consistently attenuated in patients with psychosis. However, the genetics of MMN are uncharted, limiting the validation of MMN as a psychosis endophenotype. Here, we perform a transcriptome-wide association study of
Bhat, Anjali, Irizar, Haritz, Thygesen, Johan Hilge, Kuchenbaecker, Karoline, Pain, Oliver, Adams, Rick A., Zartaloudi, Eirini, Harju-seppänen, Jasmine, Austin-zimmerman, Isabelle, Wang, Baihan, Muir, Rebecca, Summerfelt, Ann, Du, Xiaoming Michael, Bruce, Heather, O’donnell, Patricio, Srivastava, Deepak P., Friston, Karl, Hong, L. Elliot, Hall, Mei-hua, Bramon, Elvira   +19 more
openaire   +5 more sources

Integrative analysis of transcriptome-wide association study and gene expression profiling identifies candidate genes associated with stroke [PDF]

PeerJ, 2019
Background Stroke is a major public health burden worldwide. Although genetic variation is known to play a role in the pathogenesis of stroke, the specific pathogenic mechanisms are still unclear.
Jian Yang, Bin Yan, Yajuan Fan, Lihong Yang, Binbin Zhao, Xiaoyan He, Qingyan Ma, Wei Wang, Ling Bai, Feng Zhang, Xiancang Ma   +10 more
doaj   +2 more sources

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

Nucleic Acids Research, 2022
Abstract Transcriptome-wide association studies (TWASs), as a practical and prevalent approach for detecting the associations between genetically regulated genes and traits, are now leading to a better understanding of the complex mechanisms of genetic variants in regulating various diseases and traits.
Mingming Lu, Yadong Zhang, Fengchun Yang, Jialin Mai, Qianwen Gao, Xiaowei Xu, Hongyu Kang, Li Hou, Yunfei Shang, Qiheng Qain, Jie Liu, Meiye Jiang, Hao Zhang, Congfan Bu, Jinyue Wang, Zhewen Zhang, Zaichao Zhang, Jingyao Zeng, Jiao Li, Jingfa Xiao   +19 more
openaire   +2 more sources