Results 131 to 140 of about 2,884 (146)

Multitrait transcriptome‐wide association study (TWAS) tests

Genetic Epidemiology, 2021
AbstractMultitrait tests can improve power to detect associations between individual single‐nucleotide polymorphisms (SNPs) and several related traits. Here, we develop methods for multi‐SNP transcriptome‐wide association (TWAS) tests to test the association between predicted gene expression levels and multiple phenotypes.
Joel Krier, Bogdan Pasaniuc, Hélian Feng   +2 more
exaly   +3 more sources

Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges

Current Protocols
Abstract Transcriptome‐wide association study (TWAS) methodologies aim to identify genetic effects on phenotypes through the mediation of gene transcription. In TWAS, in silico models of gene expression are trained as functions of genetic variants and then applied to genome‐wide association study (GWAS) data.
Eric R Gamazon
exaly   +3 more sources

Abstract 1591: Large-scale transcriptome-wide association study (TWAS) identifies novel candidate susceptibility genes for pancreatic cancer

Cancer Research, 2019
Abstract Pancreatic Ductal Adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths in United States with a 5-year survival rate of only 8%. Inherited predisposition plays an important role in PDAC risk. Rare, moderately to highly penetrant mutations in hereditary cancer and pancreatitis genes, identified in families ...
Jun Zhong, Ashley Jermusyk, Lang Wu, Jason W. Hoskins, Irene Collins, Mingfeng Zhang, Song Lei, Charles C. Chung, Tongwu Zhang, Wenming Xiao, Rachael Stolzenberg-Solomon, Alison P. Klein, Brian M. Wolpin, Xiao-Ou Shu, Stephen J. Chanock, Sara Olson, Nilanjan Chatterjee, Jill Smith, Jianxin Shi, Peter Kraft, Gloria M. Petersen, Wei Zheng, Laufey T. Amundadottir   +22 more
openaire   +1 more source

A-TWAS: An aggregated transcriptome-wide association study model incorporating multiple Bayesian priors

Abstract Motivation Transcriptome-wide association study (TWAS) is a significant methodology utilized for identifying associations between genes and diseases by integrating transcriptome and genome-wide association studies (GWAS) data.
Yilan Liang, Han Wang, Yan Dora Zhang
openaire   +1 more source

Transcriptome-wide association study (TWAS) of nasal respiratory epithelium and childhood asthma

Paediatric asthma and allergy, 2019
Erick Forno, Rong Zhang, Yale Jiang, Qi Yan, Yueh-Ying Han, Edna Acosta-Perez, Nadia Boutaoui, Glorisa Canino, Wei Chen, Juan C. Celedon   +9 more
openaire   +1 more source

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

Nucleic Acids Research, 2023
Jingyao Zeng, Hao Zhang, Jingfa Xiao
exaly  

A Transcriptome-Wide Analysis of Psoriasis: Identifying the Potential Causal Genes and Drug Candidates

International Journal of Molecular Sciences, 2023
Byunghyuk Kim, Jaeseung Song, Wonhee Jang   +2 more
exaly  

Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics

American Journal of Human Genetics, 2020
Junyu Chen, Shizhen Tang, Jingjing Yang   +2 more
exaly  

Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Gastroenterology, 2021
Xiaoliang Wang, Xingyi Guo, John Potter   +2 more
exaly  

A transcriptome-wide association study to detect novel genes for volumetric bone mineral density

Bone, 2021
Lan-Juan Zhao, Hong-Wen Deng, Kuan-Jui Su   +2 more
exaly