Multi-tissue transcriptome-wide association studies. [PDF]
, 2021 A transcriptome-wide association study (TWAS) attempts to identify disease associated genes by imputing gene expression into a genome-wide association study (GWAS) using an expression quantitative trait loci (eQTL) data set and then testing for ...
Grinberg, Nastasiya F, Wallace, Chris
core +1 more source
Frontiers in Genetics, 2020 Genome-wide association studies (GWAS) have identified multiple causal genes associated with amyotrophic lateral sclerosis (ALS); however, the genetic architecture of ALS remains completely unknown and a large number of causal genes have yet been ...
Lishun Xiao +7 more
doaj +1 more source
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 +6 more
doaj +1 more source
2D association and integrative omics analysis in rice provides systems biology view in trait analysis. [PDF]
, 2018 The interactions among genes and between genes and environment contribute significantly to the phenotypic variation of complex traits and may be possible explanations for missing heritability.
Dai, Xinbin +3 more
core +2 more sources
Integration of Transcriptome-Wide Association Study With Neuronal Dysfunction Assays Provides Functional Genomics Evidence for Parkinson’s Disease Genes [PDF]
, 2022 Genome-wide association studies (GWAS) have markedly advanced our understanding of the genetics of Parkinson\u27s disease (PD), but they currently do not account for the full heritability of PD.
Al-Ramahi, Ismael +10 more
core +2 more sources
Delineating the Genetic Component of Gene Expression in Major Depression [PDF]
, 2020 Background: Major depression (MD) is determined by a multitude of factors including genetic risk variants that regulate gene expression. We examined the genetic component of gene expression in MD by performing a transcriptome-wide association study (TWAS)
Dall'Aglio, L. (Lorenza) +2 more
core +1 more source
Gene-based association tests using GWAS summary statistics and incorporating eQTL [PDF]
, 2022 Although genome-wide association studies (GWAS) have been successfully applied to a variety of complex diseases and identified many genetic variants underlying complex diseases via single marker tests, there is still a considerable heritability of ...
Cao, Xuewei +3 more
core +2 more sources
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 +4 more
doaj +1 more source
Incorporating Sex Chromosomes in Transcriptome Prediction Models and Improving Cross-Population Prediction Performance [PDF]
, 2023 Transcriptome prediction models built with data from European-descent individuals are less accurate when applied to different populations because of differences in linkage disequilibrium patterns and allele frequencies.
Araujo, Daniel S
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 +19 more
doaj +1 more source