Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networksREGULATORY impact analysisLOCUS (Genetics)GENE expressionGENE reg
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 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...
The top figure is the TWAS Manhattan plot for the tissue-specific analysis using information from all 53 tissues. Each point corresponds with an association test between predicted gene expression with migraine risk. The bottom figure is the Manhattan plot corresponding with the GWAS meta-analysis com...
We estimated the heritability of the three traits based on genetic variants using GCTA20and found that all three traits had high heritability (0.852, 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...
(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 the statistics for those genes that were dropped due to being ...
[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...
联合使用PrediXcan、MetaXcan基于GWAS结果预测靶基因及特异性组织的表达(又名全转录组分析Transcriptome-Wide AnalysisS) PrediXcan , SPrediXcan,MetaXcan是近些年基于GWAS后续分析开发出来的工具。 主要功能是在组织和表达的层面预测影响表型的基因,弥补了GWAS只能在基因组层面解释表型的不足。
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...
Transcriptome-wide association studies using predicted expression have identified thousands of genes whose locally regulated expression is associated with complex traits and diseases. In this work, we show that linkage disequilibrium induces significant gene鈥搕rait associations at non-causal genes as a ...