Large-scale identification, mapping, and genotyping of single- nucleotide polymorphisms in the human genome

David G. Wang*, Jian Bing Fan, Chia Jen Siao, Anthony Berno, Peter Young, Ron Sapolsky, Ghassan Ghandour, Nancy Perkins, Ellen Winchester, Jessica Spencer, Leonid Kruglyak, Lincoln Stein, Linda Hsie, Thodoros Topaloglou, Earl Hubbell, Elizabeth Robinson, Michael Mittmann, Macdonald S. Morris, Naiping Shen, Dan KilburnJohn Rioux, Chad Nusbaum, Steve Rozen, Thomas J. Hudson, Robert Lipshutz, Mark Chee, Eric S. Lander

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1767 Scopus citations

Abstract

Single-nucleotide polymorphisms (SNPs) are the most frequent type of variation in the human genome, and they provide powerful tools for a variety of medical genetic studies. In a large-scale survey for SNPs, 2.3 megabases of human genomic DNA was examined by a combination of gel-based sequencing and high-density variation-detection DNA chips. A total of 3241 candidate SNPs were identified. A genetic map was constructed showing the location of 2227 of these SNPs. Prototype genotyping chips were developed that allow simultaneous genotyping of 500 SNPs. The results provide a characterization of human diversity at the nucleotide level and demonstrate the feasibility of large-scale identification of human SNPs.

Original languageEnglish
Pages (from-to)1077-1082
Number of pages6
JournalScience
Volume280
Issue number5366
DOIs
StatePublished - 15 05 1998
Externally publishedYes

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