Comprehensive resource: Skeletal gene database#


  • Libin Jia,

    Corresponding author
    • MGB/NHGRI/NIH, 10/10C101, 9000 Rockville Pike, MD 20892.
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    • Libin Jia is a Research Fellow at Medical Genetics Branch of National Human Genome Research Institute of National Institutes of Health. His research interests are genomics and proteomics, especially on the gene discovery and functional study of the human skeletal system.

  • Nicola C. Ho,

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    • Nicola C. Ho is a pediatrician and medical geneticist. She is Assistant Professor of Pediatrics at Johns Hopkins University School of Medicine, and a research scientist with the National Institutes of Health. Dr. Ho's interests include dysmorphology, skeletal dysplasias, connective tissue disorders, molecular genetics, and study of genetic disorders in inbred populations.

  • Susan S. Park,

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    • Susan Park is a Post-Baccalaureate graduated from Johns Hopkins University and currently works for Laboratory of Genetics/Human Genetics and Integrative Medicine at National Institute on Aging.

  • John Powell,

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    • John I. Powell is Head of the BioInformatics and Molecular Analysis Section in the Computational Bioscience and Engineering Laboratory at the Center for Information Technology, National Institutes of Health. Areas of focus include bioinformatics, management, analysis and data mining techniques applied to microarray expression data.

  • Clair A. Francomano

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    • Clair Francomano is an internist and medical geneticist whose work has centered on the hereditary connective tissue disorders and skeletal dysplasias. She has published widely on the molecular genetics underlying human connective tissue disorders and skeletal dysplasias. She serves on the Advisory Boards for the National Marfan Foundation and the Little People of America. Her current position is Senior Investigator, Laboratory of Genetics, National Institute on Aging.

  • #

    This article is a US Government work and, as such, is in the public domain in the United States of America.


The Skeletal Gene Database (SGD) is an integrated resource that provides comprehensive information about bone-related genes, mRNA, and proteins expressed in human and mouse, with rich links to numerous other electronic tools. SGD contains expressed sequence tag (EST) data from all the skeletal-related cDNA libraries that are available to the public. It supplies the query/data access analytic tools for users to search and compare each gene expressed in skeletal tissue(s). The results derived from EST tissue expression profiling will allow users to get the data on the mRNA copy numbers of each gene expressed in each tissue and its normalized value. From the SGD, researchers can obtain information regarding the name, symbol, size, exon/intron number, chromosomal location, LocusLink, and related disease (if any is known) of each gene. This electronic compendium also furnishes information on the protein of the corresponding gene including the protein size (amino acid number and molecular weight). It provides swift and ready access to other useful databases including OMIM, UniGene and PUBMED. The data will be updated regularly in step with current and future research, thereby providing what we hope will serve as a highly useful source of information and a powerful analytic tool to the scientific community. Published 2002 Wiley-Liss, Inc.