Computerized polymorphic marker identification: Experimental validation and a predicted human polymorphism catalog

John W. Fondon, Gina M. Mele, Ruth I. Brezinschek, Donna Cummings, Ashwini Pande, Jonathan Wren, Kevin M. O'Brien, Kenneth C. Kupfer, Ming Hui Wei, Michael Lerman, John D. Minna, Harold R. Garner

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Abstract

A computational system for the prediction of polymorphic loci directly and efficiently from human genomic sequence was developed and verified. A suite of programs, collectively called POMPOUS (polymorphic marker prediction of ubiquitous simple sequences) detects tandem repeats ranging from dinucleotides up to 250 mers, scores them according to predicted level of polymorphism, and designs appropriate flanking primers for PCR amplification. This approach was validated on an approximately 750-kilobase region of human chromosome 3p21.3, involved in lung and breast carcinoma homozygous deletions. Target DNA from 36 paired B lymphoblastoid and lung cancer lines was amplified and allelotyped for 33 loci predicted by POMPOUS to be variable in repeat size. We found that among those 36 predominately Caucasian individuals 22 of the 33 (67%) predicted loci were polymorphic with an average heterozygosity of 0.42. Allele loss in this region was found in 27/36 (75%) of the tumor lines using these markers. POMPOUS provides the genetic researcher with an additional tool for the rapid and efficient identification of polymorphic markers, and through a World Wide Web site, investigators can use POMPOUS to identify polymorphic markers for their research. A catalog of 13,261 potential polymorphic markers and associated primer sets has been created from the analysis of 141,779,504 base pairs of human genomic sequence in GenBank. This data is available on our Web site (pompous.swmed.edu) and will be updated periodically as GenBank is expanded and algorithm accuracy is improved.

Original languageEnglish (US)
Pages (from-to)7514-7519
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume95
Issue number13
DOIs
StatePublished - Jun 23 1998

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Fondon, J. W., Mele, G. M., Brezinschek, R. I., Cummings, D., Pande, A., Wren, J., O'Brien, K. M., Kupfer, K. C., Wei, M. H., Lerman, M., Minna, J. D., & Garner, H. R. (1998). Computerized polymorphic marker identification: Experimental validation and a predicted human polymorphism catalog. Proceedings of the National Academy of Sciences of the United States of America, 95(13), 7514-7519. https://doi.org/10.1073/pnas.95.13.7514