0.820, and 0.858 for SPP, NPB, and PL, respectively). This result, combined with the results of association analysis of SPP and NPB (lack of significant major effect loci but many peaks below the significance threshold), suggests
transcriptome-wide association studies (TWAS) have become increasingly adopted in gene-trait association analysis thanks to recent advances in gene expression imputation methods41,42,43,44,45,46,47and burgeoning generation of such expression imputation reference data sets (e.g., the Genotype-Tissue Ex...
Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networksREGULATORY impact analysisLOCUS (Genetics)GENE expressionGENE regulatory networksRICEGRAIN yieldsPanicle architecture is a key determinant of rice grain yield and is ...
and those that are jointly significant (in this case, FAM109B) highlighted in green. The statistics for the jointly significant genes are reported in the file PGC2.SCZ.TWAS.22.top.analysis.joint_included.dat (which contains the joint estimates and p-values) and ...
[9], which may interfere with the homogeneity of eQTLs in expression prediction and further association analysis between CD patients and healthy controls though reduce the test power concomitantly. The relationship between eQTL and GWAS associations at the same locus could be unpredictable for different...
Transcriptome association analysis identifies miR-375 as a major determinant of variable acetaminophen glucuronidation by human liver Acetaminophen is the leading cause of acute liver failure (ALF) in many countries including the United States. Hepatic glucuronidation by UDP-glucuronosylt... I Papageorgio...
TWAS: Transcriptome-wide association study; SpA: spondyloarthritis Full size image Table 1 The common genes identified by TWAS analysis Full size table Validating TWAS results by gene expression profiles of SpABy comparing the genes identified by TWAS analysis and the gene expression profile of SpA,...
内容提示: UCLAUCLA Previously Published WorksTitleA statistical framework for cross-tissue transcriptome-wide association analysis.Permalinkhttps://escholarship.org/uc/item/45f4g6k0JournalNature genetics, 51(3)ISSN1061-4036AuthorsHu, YimingLi, MoLu, Qiongshiet al.Publication Date2019-03-01DOI10.1038/...
Transcriptome-wide association analysis is a powerful approach to studying the genetic architecture of complex traits. A key component of this approach is to build a model to impute gene expression levels from genotypes by using samples with matched genotypes and gene expression data in a given tiss...
plots. The genomic control values for all participating cohorts are between 0.9 and 1.1 (Supplementary Table15). We assessed the probability of the meta-analysis results being genuine using MAMBA45, a model-based method that relies on the strength of consistency of association signals across ...