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Human genome anatomy: BACs integrating the genetic and cytogenetic maps for bridging genome and biomedicine.

Authors :
Korenberg JR
Chen XN
Sun Z
Shi ZY
Ma S
Vataru E
Yimlamai D
Weissenbach JS
Shizuya H
Simon MI
Gerety SS
Nguyen H
Zemsteva IS
Hui L
Silva J
Wu X
Birren BW
Hudson TJ
Source :
Genome research [Genome Res] 1999 Oct; Vol. 9 (10), pp. 994-1001.
Publication Year :
1999

Abstract

Human genome sequencing is accelerating rapidly. Multiple genome maps link this sequence to problems in biology and clinical medicine. Because each map represents a different aspect of the structure, content, and behavior of human chromosomes, these fundamental properties must be integrated with the genome to understand disease genes, cancer instability, and human evolution. Cytogenetic maps use 400-850 visible band landmarks and are the primary means for defining prenatal defects and novel cancer breakpoints, thereby providing simultaneous examination of the entire genome. Recent genetic, physical, and transcript maps use PCR-based landmarks called sequence-tagged sites (STSs). We have integrated these genome maps by anchoring the human cytogenetic to the STS-based genetic and physical maps with 1021 STS-BAC pairs at an average spacing of approximately 1 per 3 Mb. These integration points are represented by 872 unique STSs, including 642 polymorphic markers and 957 bacterial artificial chromosomes (BACs), each of which was localized on high resolution fluorescent banded chromosomes. These BACs constitute a resource that bridges map levels and provides the tools to seamlessly translate questions raised by genomic change seen at the chromosomal level into answers based at the molecular level. We show how the BACs provide molecular links for understanding human genomic duplications, meiosis, and evolution, as well as reagents for conducting genome-wide prenatal diagnosis at the molecular level and for detecting gene candidates associated with novel cancer breakpoints.

Details

Language :
English
ISSN :
1088-9051
Volume :
9
Issue :
10
Database :
MEDLINE
Journal :
Genome research
Publication Type :
Academic Journal
Accession number :
10523528
Full Text :
https://doi.org/10.1101/gr.9.10.994