et al. The single-cell eQTLGen consortium. eLife 9, e52155 (2020). Article PubMed PubMed Central Google Scholar Oelen, R. et al. Single-cell RNA-sequencing reveals widespread personalized, context-specific gene
Applying JOBS to One1K1K and eQTLGen data, we identify 586% more eQTLs, matching the power of 4脳 the sample sizes of OneK1K. Integrating sc-eQTLs with GWAS data creates an atlas for 14 immune-mediated disorders, colocalizing 29.9% or 32.2% more loci than using sc-eQTL or bk-eQTL ...
et al. The single-cell eQTLGen consortium. eLife 9, e52155 (2020). Rozenblatt-Rosen, O. et al. The Human Tumor Atlas Network: charting tumor transitions across space and time at single-cell resolution. Cell 181, 236–249 (2020). Article CAS Google Scholar Datlinger, P. et al. Pool...
Genetic studies on molecular phenotypes such as Genotype-Tissue Expression (GTEx) project2 and the eQTLGen consortium3 have identified expression quantitative trait loci (eQTLs) for nearly every gene, yet the proportion of GWAS signals attributable to eQTLs has been modest4,5. To identify the ...
Single-cell eQTLGen Consortium: a personalized understanding of disease. Elife. 2020;9:e52155. Article Google Scholar Zheng GX, et al. Massively parallel digital transcriptional profiling of single cells. Nat Commun. 2017;8:14049. Article CAS Google Scholar WTA + Sample Multiplexing + AbSeq ...
EXPRESSO-PVS substantially improves prediction accuracy when trained using eQTLGen summary statistics We next evaluate whether large eQTL summary statistics datasets (e.g., eQTLGen) improve prediction accuracy. We use the whole blood dataset from the genotype tissue expression project (GTEx27version 7 Eu...
, eQTLGen, 23andMe, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Nat. Genet., 50 (2018), pp. 668-681, 10.1038/s41588-018-0090-3 View in Scopus...
Single-cell eQTLGen Consortium: a personalized understanding of diseaseMonique Van Der WijstDylan De VriesHilde GrootLude Franke
METHODS. Using exposure data from the eQTLGen database and outcome data from both FinnGen Consortium and UKB database, Mendelian randomization (MR) was utilized to determine cell senescence genes that are causally linked to BPH. These associations were further validated through co-localization ...
Cuomo ASE, Alvari G, Azodi CB, single-cell eQTLGen consortium McCarthy DJ, Bonder MJ. Optimising expression quantitative trait locus mapping workflows for single-cell studies. Genome Biol. 2021; 22(1):188. Article CAS Google Scholar Aran D, Looney AP, Liu L, Wu E, Fong V, Hsu A, ...