[HTML][HTML] Colocalization of GWAS and eQTL signals detects target genes

F Hormozdiari, M Van De Bunt, AV Segre, X Li… - The American Journal of …, 2016 - cell.com
The vast majority of genome-wide association study (GWAS) risk loci fall in non-coding
regions of the genome. One possible hypothesis is that these GWAS risk loci alter the …

Estimating the causal tissues for complex traits and diseases

H Ongen, AA Brown, O Delaneau, NI Panousis… - Nature …, 2017 - nature.com
How to interpret the biological causes underlying the predisposing markers identified
through genome-wide association studies (GWAS) remains an open question. One direct …

[HTML][HTML] Opportunities and challenges for transcriptome-wide association studies

M Wainberg, N Sinnott-Armstrong, N Mancuso… - Nature …, 2019 - nature.com
Transcriptome-wide association studies (TWAS) integrate genome-wide association studies
(GWAS) and gene expression datasets to identify gene–trait associations. In this …

[HTML][HTML] Interpretation of association signals and identification of causal variants from genome-wide association studies

K Wang, SP Dickson, CA Stolle, ID Krantz… - The American Journal of …, 2010 - cell.com
GWAS have been successful in identifying disease susceptibility loci, but it remains a
challenge to pinpoint the causal variants in subsequent fine-mapping studies. A …

Predicting causal variants affecting expression by using whole-genome sequencing and RNA-seq from multiple human tissues

AA Brown, A Vinuela, O Delaneau, TD Spector… - Nature …, 2017 - nature.com
Genetic association mapping produces statistical links between phenotypes and genomic
regions, but identifying causal variants remains difficult. Whole-genome sequencing (WGS) …

[HTML][HTML] Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

S Zhao, W Crouse, S Qian, K Luo, M Stephens, X He - Nature Genetics, 2024 - nature.com
Many methods have been developed to leverage expression quantitative trait loci (eQTL)
data to nominate candidate genes from genome-wide association studies. These methods …

Transcriptome‐wide association studies accounting for colocalization using Egger regression

R Barfield, H Feng, A Gusev, L Wu… - Genetic …, 2018 - Wiley Online Library
Integrating genome‐wide association (GWAS) and expression quantitative trait locus (eQTL)
data into transcriptome‐wide association studies (TWAS) based on predicted expression …

[HTML][HTML] Cross-tissue and tissue-specific eQTLs: partitioning the heritability of a complex trait

JM Torres, ER Gamazon, EJ Parra, JE Below… - The American Journal of …, 2014 - cell.com
Top signals from genome-wide association studies (GWASs) of type 2 diabetes (T2D) are
enriched with expression quantitative trait loci (eQTLs) identified in skeletal muscle and …

[HTML][HTML] Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain

DG Hernandez, MA Nalls, M Moore, S Chong… - Neurobiology of …, 2012 - Elsevier
Genome-wide association studies have nominated many genetic variants for common
human traits, including diseases, but in many cases the underlying biological reason for a …

[HTML][HTML] Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx

NR Gay, M Gloudemans, ML Antonio, NS Abell… - Genome biology, 2020 - Springer
Background Population structure among study subjects may confound genetic association
studies, and lack of proper correction can lead to spurious findings. The Genotype-Tissue …