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Found 14,957 results

Filters: causal variants

Massively parallel identification of causal variants underlying gene expression differences in a yeast cross
Renganaath, K.; Cheung, R.; Day, L.; Kosuri, S.; Kruglyak, L.; Albert, F. W.
biorxiv. 2020-08-31. Preprint
Source:biorxiv
PPRID: 10.1101/2020.08.31.276337v1 doi:NA
Multiple causal DNA variants in a single gene affect gene expression in trans
Lutz, S.; Van Dyke, K.; Albert, F. W.
biorxiv. 2021-05-06. Preprint
Source:biorxiv
PPRID: 10.1101/2021.05.05.442834v1 doi:NA
Leveraging allele-specific expression to refine fine-mapping for eQTL studies
Zou, J.; Hormozdiari, F.; Jew, B.; Ernst, J.; Sul, J. H.; Eskin, E.
biorxiv. 2018-01-31. Preprint
Source:biorxiv
PPRID: 10.1101/257279v1 doi:NA
Identification of candidate causal cis-regulatory variants underlying electrocardiographic QT interval GWAS loci
Kadagandla, S.; Kapoor, A.
biorxiv. 2024-03-27. Preprint
Source:biorxiv
PPRID: 10.1101/2024.03.13.584880v2 doi:NA
Identification of candidate causal cis-regulatory variants underlying electrocardiographic QT interval GWAS loci
Kapoor, A.
biorxiv. 2024-03-15. Preprint
Source:biorxiv
PPRID: 10.1101/2024.03.13.584880v1 doi:NA
Identification of candidate causal -regulatory variants underlying electrocardiographic QT interval GWAS loci.
Supraja Kadagandla, Ashish Kapoor
bioRxiv. Mar 27, 2024.: Electronic
Source:PubMed
PMID: 38585875 doi:10.1101/2024.03.13.584880
BEATRICE: Bayesian Fine-mapping from Summary Datausing Deep Variational Inference
Ghosal, S.; Schatz, M.; Venkataraman, A.
biorxiv. 2023-03-25. Preprint
Source:biorxiv
PPRID: 10.1101/2023.03.24.534116v1 doi:NA
A more accurate method for colocalisation analysis allowing for multiple causal variants
Wallace, C.
biorxiv. 2021-05-17. Preprint
Source:biorxiv
PPRID: 10.1101/2021.02.23.432421v2 doi:NA
A more accurate method for colocalisation analysis allowing for multiple causal variants
Wallace, C.
biorxiv. 2021-02-23. Preprint
Source:biorxiv
PPRID: 10.1101/2021.02.23.432421v1 doi:NA
BEATRICE: Bayesian Fine-mapping from Summary Datausing Deep Variational Inference
Ghosal, S.; Schatz, M.; Venkataraman, A.
biorxiv. 2023-12-14. Preprint
Source:biorxiv
PPRID: 10.1101/2023.03.24.534116v2 doi:NA
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