ArticleGenome research2005
Distribution and intensity of constraint in mammalian genomic sequence.
Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 898 papers, 1 of them a synthesis that pooled it.
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Who cites it
898 citing papers in PubMed, 1 synthesis or guideline pooled it.
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838 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
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Abstract
Comparisons of orthologous genomic DNA sequences can be used to characterize regions that have been subject to purifying selection and are enriched for functional elements. We here present the results of such an analysis on an alignment of sequences from 29 mammalian species. The alignment captures approximately 3.9 neutral substitutions per site and spans approximately 1.9 Mbp of the human genome. We identify constrained elements from 3 bp to over 1 kbp in length, covering approximately 5.5% of the human locus. Our estimate for the total amount of nonexonic constraint experienced by this locus is roughly twice that for exonic constraint. Constrained elements tend to cluster, and we identify large constrained regions that correspond well with known functional elements. While constraint density inversely correlates with mobile element density, we also show the presence of unambiguously constrained elements overlapping mammalian ancestral repeats. In addition, we describe a number of elements in this region that have undergone intense purifying selection throughout mammalian evolution, and we show that these important elements are more numerous than previously thought. These results were obtained with Genomic Evolutionary Rate Profiling (GERP), a statistically rigorous and biologically transparent framework for constrained element identification. GERP identifies regions at high resolution that exhibit nucleotide substitution deficits, and measures these deficits as "rejected substitutions". Rejected substitutions reflect the intensity of past purifying selection and are used to rank and characterize constrained elements. We anticipate that GERP and the types of analyses it facilitates will provide further insights and improved annotation for the human genome as mammalian genome sequence data become richer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.