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DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
by
Kalita, Cynthia A.
, Gusev, Alexander
in
Alleles
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Evolutionary Biology
/ Gene expression
/ Genome-Wide Association Study - methods
/ Genotype & phenotype
/ Haplotypes
/ Human Genetics
/ Hypotheses
/ Life Sciences
/ Method
/ Microbial Genetics and Genomics
/ Neoplasms - genetics
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Quantitative Trait Loci
/ risk
/ RNA-Seq
/ sequence analysis
/ Tumors
2022
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DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
by
Kalita, Cynthia A.
, Gusev, Alexander
in
Alleles
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Evolutionary Biology
/ Gene expression
/ Genome-Wide Association Study - methods
/ Genotype & phenotype
/ Haplotypes
/ Human Genetics
/ Hypotheses
/ Life Sciences
/ Method
/ Microbial Genetics and Genomics
/ Neoplasms - genetics
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Quantitative Trait Loci
/ risk
/ RNA-Seq
/ sequence analysis
/ Tumors
2022
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Do you wish to request the book?
DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
by
Kalita, Cynthia A.
, Gusev, Alexander
in
Alleles
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Cancer
/ Evolutionary Biology
/ Gene expression
/ Genome-Wide Association Study - methods
/ Genotype & phenotype
/ Haplotypes
/ Human Genetics
/ Hypotheses
/ Life Sciences
/ Method
/ Microbial Genetics and Genomics
/ Neoplasms - genetics
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Quantitative Trait Loci
/ risk
/ RNA-Seq
/ sequence analysis
/ Tumors
2022
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DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
Journal Article
DeCAF: a novel method to identify cell-type specific regulatory variants and their role in cancer risk
2022
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Overview
Here, we propose DeCAF (DEconvoluted cell type Allele specific Function), a new method to identify cell-fraction (cf) QTLs in tumors by leveraging both allelic and total expression information. Applying DeCAF to RNA-seq data from TCGA, we identify 3664 genes with cfQTLs (at 10% FDR) in 14 cell types, a 5.63× increase in discovery over conventional interaction-eQTL mapping. cfQTLs replicated in external cell-type-specific eQTL data are more enriched for cancer risk than conventional eQTLs. Our new method, DeCAF, empowers the discovery of biologically meaningful cfQTLs from bulk RNA-seq data in moderately sized studies.
Publisher
BioMed Central,Springer Nature B.V,BMC
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