Artículo
Tejaas: reverse regression increases power for detecting trans-eQTLs
Banerjee, Saikat; Simonetti, Franco Lucio
; Detrois, Kira E.; Kaphle, Anubhav; Mitra, Raktim; Nagial, Rahul; Söding, Johannes
![Icon](/themes/CONICETDigital/images/conicet.png)
Fecha de publicación:
12/2021
Editorial:
BioMed Central Ltd
Revista:
Genome Biology
ISSN:
1474-760X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Trans-acting expression quantitative trait loci (trans-eQTLs) account for ≥70% expression heritability and could therefore facilitate uncovering mechanisms underlying the origination of complex diseases. Identifying trans-eQTLs is challenging because of small effect sizes, tissue specificity, and a severe multiple-testing burden. Tejaas predicts trans-eQTLs by performing L2-regularized “reverse” multiple regression of each SNP on all genes, aggregating evidence from many small trans-effects while being unaffected by the strong expression correlations. Combined with a novel unsupervised k-nearest neighbor method to remove confounders, Tejaas predicts 18851 unique trans-eQTLs across 49 tissues from GTEx. They are enriched in open chromatin, enhancers, and other regulatory regions. Many overlap with disease-associated SNPs, pointing to tissue-specific transcriptional regulation mechanisms.
Palabras clave:
Trans-eQTLs
,
Multiple linear regression
,
GTEx
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IIBBA)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Articulos de INST.DE INVEST.BIOQUIMICAS DE BS.AS(I)
Citación
Banerjee, Saikat; Simonetti, Franco Lucio; Detrois, Kira E.; Kaphle, Anubhav; Mitra, Raktim; et al.; Tejaas: reverse regression increases power for detecting trans-eQTLs; BioMed Central Ltd; Genome Biology; 22; 1; 12-2021; 1-16
Compartir
Altmétricas