Cargando…
A scalable unified framework of total and allele-specific counts for cis-QTL, fine-mapping, and prediction
Genetic studies of the transcriptome help bridge the gap between genetic variation and phenotypes. To maximize the potential of such studies, efficient methods to identify expression quantitative trait loci (eQTLs) and perform fine-mapping and genetic prediction of gene expression traits are needed....
Autores principales: | Liang, Yanyu, Aguet, François, Barbeira, Alvaro N., Ardlie, Kristin, Im, Hae Kyung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7930098/ https://www.ncbi.nlm.nih.gov/pubmed/33658504 http://dx.doi.org/10.1038/s41467-021-21592-8 |
Ejemplares similares
-
Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification
por: Barbeira, Alvaro N., et al.
Publicado: (2020) -
Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx
por: Gay, Nicole R., et al.
Publicado: (2020) -
sn-spMF: matrix factorization informs tissue-specific genetic regulation of gene expression
por: He, Yuan, et al.
Publicado: (2020) -
A vast resource of allelic expression data spanning human tissues
por: Castel, Stephane E., et al.
Publicado: (2020) -
Leveraging supervised learning for functionally informed fine-mapping of cis-eQTLs identifies an additional 20,913 putative causal eQTLs
por: Wang, Qingbo S., et al.
Publicado: (2021)