Large-scale genome-wide association studies(GWAS)and expression quantitative trait locus(eQTL)studies have identified multiple non-coding variants associated with genetic diseases by affecting gene expression.However,...Large-scale genome-wide association studies(GWAS)and expression quantitative trait locus(eQTL)studies have identified multiple non-coding variants associated with genetic diseases by affecting gene expression.However,pinpointing causal variants effectively and efficiently remains a serious challenge.Here,we developed CARMEN,a novel algorithm to identify functional non-coding expression-modulating variants.Multiple evaluations demonstrated CARMEN’s superior performance over state-of-the-art tools.Applying CARMEN to GWAS and eQTL datasets further pinpointed several causal variants other than the reported lead single-nucleotide polymorphisms(SNPs).CARMEN scales well with the massive datasets,and is available online as a web server at http://carmen.gao-lab.org.展开更多
More than 90%of disease-and trait-associated human variants are noncoding.By systematically screening multiple large-scale studies,we compiled REVA,a manually curated database for over 11.8 million experimentally test...More than 90%of disease-and trait-associated human variants are noncoding.By systematically screening multiple large-scale studies,we compiled REVA,a manually curated database for over 11.8 million experimentally tested noncoding variants with expression-modulating potentials.We provided 2424 functional annotations that could be used to pinpoint the plausible regulatory mechanism of these variants.We further benchmarked multiple state-of-the-art computational tools and found that their limited sensitivity remains a serious challenge for effective large-scale analysis.REVA provides high-quality experimentally tested expression-modulating variants with extensive functional annotations,which will be useful for users in the noncoding variant community.REVA is freely available at http://reva.gao-lab.org.展开更多
基金supported by funds from the National Key R&D Program of China(Grant No.2016YFC0901603)the National High-tech R&D Program of China(Grant No.2015AA020108)+1 种基金as well as the State Key Laboratory of Protein and Plant Gene Research and the Beijing Advanced Innovation Center for Genomics(ICG)at Peking Universitysupported in part by the National Program for Support of Top-notch Young Professionals。
文摘Large-scale genome-wide association studies(GWAS)and expression quantitative trait locus(eQTL)studies have identified multiple non-coding variants associated with genetic diseases by affecting gene expression.However,pinpointing causal variants effectively and efficiently remains a serious challenge.Here,we developed CARMEN,a novel algorithm to identify functional non-coding expression-modulating variants.Multiple evaluations demonstrated CARMEN’s superior performance over state-of-the-art tools.Applying CARMEN to GWAS and eQTL datasets further pinpointed several causal variants other than the reported lead single-nucleotide polymorphisms(SNPs).CARMEN scales well with the massive datasets,and is available online as a web server at http://carmen.gao-lab.org.
基金supported by funds from the National Key R&D Program of China(Grant No.2016YFC0901603)the National High Technology Research and Development Program of China(Grant No.2015AA020108)+2 种基金the State Key Laboratory of Protein and Plant Gene Research and the Beijing Advanced Innovation Center for Genomics(ICG)at Peking University,Chinasupported in part by the National Program for Support of Top-notch Young Professionalssupported by the High-performance Computing Platform of Peking University。
文摘More than 90%of disease-and trait-associated human variants are noncoding.By systematically screening multiple large-scale studies,we compiled REVA,a manually curated database for over 11.8 million experimentally tested noncoding variants with expression-modulating potentials.We provided 2424 functional annotations that could be used to pinpoint the plausible regulatory mechanism of these variants.We further benchmarked multiple state-of-the-art computational tools and found that their limited sensitivity remains a serious challenge for effective large-scale analysis.REVA provides high-quality experimentally tested expression-modulating variants with extensive functional annotations,which will be useful for users in the noncoding variant community.REVA is freely available at http://reva.gao-lab.org.
