An initial strategy for the systematic identification of functional elements in the human genome by low-redundancy comparative sequencing
- 18 March 2005
- journal article
- research article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 102 (13) , 4795-4800
- https://doi.org/10.1073/pnas.0409882102
Abstract
With the recent completion of a high-quality sequence of the human genome, the challenge is now to understand the functional elements that it encodes. Comparative genomic analysis offers a powerful approach for finding such elements by identifying sequences that have been highly conserved during evolution. Here, we propose an initial strategy for detecting such regions by generating low-redundancy sequence from a collection of 16 eutherian mammals, beyond the 7 for which genome sequence data are already available. We show that such sequence can be accurately aligned to the human genome and used to identify most of the highly conserved regions. Although not a long-term substitute for generating high-quality genomic sequences from many mammalian species, this strategy represents a practical initial approach for rapidly annotating the most evolutionarily conserved sequences in the human genome, providing a key resource for the systematic study of human genome function.Keywords
This publication has 24 references indexed in Scilit:
- A Model of the Statistical Power of Comparative Genome Sequence AnalysisPLoS Biology, 2005
- The Dog Genome: Survey Sequencing and Comparative AnalysisScience, 2003
- Comparative analyses of multi-species sequences from targeted genomic regionsNature, 2003
- Sequencing and comparison of yeast species to identify genes and regulatory elementsNature, 2003
- A vision for the future of genomics researchNature, 2003
- Human–Mouse Alignments with BLASTZGenome Research, 2002
- Apollo: a sequence annotation editorGenome Biology, 2002
- Initial sequencing and comparative analysis of the mouse genomeNature, 2002
- Comparing Vertebrate Whole-Genome Shotgun Reads to the Human GenomeGenome Research, 2001
- VISTA : visualizing global DNA sequence alignments of arbitrary lengthBioinformatics, 2000