Abstract Unraveling functional noncoding variants associated with complex diseases is still a great challenge. We present a novel algorithm, Prioritization And Functional Assessment (PAFA), that prioritizes and assesses the functionality of genetic variants by introducing population differentiation measures and recalibrating training variants. Comprehensive evaluations demonstrate that PAFA exhibits much higher sensitivity and specificity in prioritizing noncoding risk variants than existing methods. PAFA achieves improved performance in distinguishing both common and rare recurrent variants from non-recurrent variants by integrating multiple annotations and metrics. An integrated platform was developed, providing comprehensive functional a...
Abstract Grouping variants based on gene mapping can augment the power of rare variant...
The vast majority of germline and somatic variations occur in the noncoding part of the genome, only...
The identification of non-coding single nucleotide polymorphisms (SNPs) and short insertions or dele...
Complex traits are the result of a contribution of both genetic risk variants throughout the genome,...
BackgroundWhen applying genomic medicine to a rare disease patient, the primary goal is to identify ...
International audienceWhole genome sequencing is increasingly used to diagnose medical conditions of...
Understanding the medical effect of an ever-growing number of human variants detected is a long term...
Standard statistical approaches for prioritization of variants for functional testing in fine-mappin...
Functional characterization of the noncoding genome is essential for the biological understanding of...
Motivation: Prediction and prioritization of human noncoding regulatory variants is critical for und...
Clinical applications of genome re-sequencing technologies typically generate large amounts of data ...
Association studies provide genome-wide information about the genetic basis of complex disease, but ...
The biggest challenge geneticists face when applying next-generation sequencing technology to the di...
Standard statistical approaches for prioritization of variants for functional testing in fine-mappin...
While progress has been made in identifying common genetic variants associated with human diseases, ...
Abstract Grouping variants based on gene mapping can augment the power of rare variant...
The vast majority of germline and somatic variations occur in the noncoding part of the genome, only...
The identification of non-coding single nucleotide polymorphisms (SNPs) and short insertions or dele...
Complex traits are the result of a contribution of both genetic risk variants throughout the genome,...
BackgroundWhen applying genomic medicine to a rare disease patient, the primary goal is to identify ...
International audienceWhole genome sequencing is increasingly used to diagnose medical conditions of...
Understanding the medical effect of an ever-growing number of human variants detected is a long term...
Standard statistical approaches for prioritization of variants for functional testing in fine-mappin...
Functional characterization of the noncoding genome is essential for the biological understanding of...
Motivation: Prediction and prioritization of human noncoding regulatory variants is critical for und...
Clinical applications of genome re-sequencing technologies typically generate large amounts of data ...
Association studies provide genome-wide information about the genetic basis of complex disease, but ...
The biggest challenge geneticists face when applying next-generation sequencing technology to the di...
Standard statistical approaches for prioritization of variants for functional testing in fine-mappin...
While progress has been made in identifying common genetic variants associated with human diseases, ...
Abstract Grouping variants based on gene mapping can augment the power of rare variant...
The vast majority of germline and somatic variations occur in the noncoding part of the genome, only...
The identification of non-coding single nucleotide polymorphisms (SNPs) and short insertions or dele...