ArticleNucleic acids research2016
CEGA--a catalog of conserved elements from genomic alignments.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 22 citations in OpenAlex.
- Genome interpretation using in silico predictors of variant impact.Human genetics · 2022Review
- Comparative 3D genome architecture in vertebrates.BMC biology · 2022Article
- Impact of Genetic Variation in Gene Regulatory Sequences: A Population Genomics Perspective.Frontiers in genetics · 2021Review
- CNEFinder: finding conserved non-coding elements in genomes.Bioinformatics (Oxford, England) · 2018Article
- Conserved non-coding elements: developmental gene regulation meets genome organization.Nucleic acids research · 2017Review
- Novel promoters and coding first exons in DLG2 linked to developmental disorders and intellectual disability.Genome medicine · 2017Article
- Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data.Nature genetics · 2017Article
- The 2016 database issue of Nucleic Acids Research and an updated molecular biology database collection.Nucleic acids research · 2016Article
- Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species.International journal of genomics · 2016Review
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Authors and funding
3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
By identifying genomic sequence regions conserved among several species, comparative genomics offers opportunities to discover putatively functional elements without any prior knowledge of what these functions might be. Comparative analyses across mammals estimated 4-5% of the human genome to be functionally constrained, a much larger fraction than the 1-2% occupied by annotated protein-coding or RNA genes. Such functionally constrained yet unannotated regions have been referred to as conserved non-coding sequences (CNCs) or ultra-conserved elements (UCEs), which remain largely uncharacterized but probably form a highly heterogeneous group of elements including enhancers, promoters, motifs, and others. To facilitate the study of such CNCs/UCEs, we present our resource of Conserved Elements from Genomic Alignments (CEGA), accessible from http://cega.ezlab.org. Harnessing the power of multiple species comparisons to detect genomic elements under purifying selection, CEGA provides a comprehensive set of CNCs identified at different radiations along the vertebrate lineage. Evolutionary constraint is identified using threshold-free phylogenetic modeling of unbiased and sensitive global alignments of genomic synteny blocks identified using protein orthology. We identified CNCs independently for five vertebrate clades, each referring to a different last common ancestor and therefore to an overlapping but varying set of CNCs with 24 488 in vertebrates, 241 575 in amniotes, 709 743 in Eutheria, 642 701 in Boreoeutheria and 612 364 in Euarchontoglires, spanning from 6 Mbp in vertebrates to 119 Mbp in Euarchontoglires. The dynamic CEGA web interface displays alignments, genomic locations, as well as biologically relevant data to help prioritize and select CNCs of interest for further functional investigations.
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