Skip to main content

DNA Microarray-Based Mutation Discovery and Genotyping

  • Protocol
  • First Online:

Part of the book series: Methods in Molecular Biology ((MIMB,volume 772))

Abstract

DNA microarrays provide an efficient means of identifying single-nucleotide polymorphisms (SNPs) in DNA samples and characterizing their frequencies in individual and mixed samples. We have studied the parameters that determine the sensitivity of DNA probes to SNPs and found that the melting temperature (T m) of the probe is the primary determinant of probe sensitivity. An isothermal-melting temperature DNA microarray design, in which the T m of all probes is tightly distributed, can be implemented by varying the length of DNA probes within a single DNA microarray. I describe guidelines for designing isothermal-melting temperature DNA microarrays and protocols for labeling and hybridizing DNA samples to DNA microarrays for SNP discovery, genotyping, and quantitative determination of allele frequencies in mixed samples.

This is a preview of subscription content, log in via an institution.

Buying options

Protocol
USD   49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Springer Nature is developing a new tool to find and evaluate Protocols. Learn more

References

  1. Maskos U, Southern, EM (1993) A novel method for the parallel analysis of multiple mutations in multiple samples. Nucleic Acids Res 21:2269–2270

    Google Scholar 

  2. Gresham D, Dunham MJ, Botstein D (2008) Comparing whole genomes using DNA microarrays. Nat Rev Genet 9:291–302

    Google Scholar 

  3. DeRisi JL, Iyer VR, Brown PO (1997) Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278:680686

    Google Scholar 

  4. Lieb JD, Liu X, Botstein D et al (2001) Promoter-specific binding of Rap1 revealed by genome-wide maps of protein-DNA association. Nat Genet 28:327–334

    Google Scholar 

  5. Pollack JR, Perou CM, Alizadeh AA, et al (1999) Genome-wide analysis of DNA copy-number changes using cDNA microarrays. Nat Genet 23:41–46

    Google Scholar 

  6. Pinkel D, Segraves R, Sudar D, et al (1998) High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nat Genet 20:207–211

    Google Scholar 

  7. Gresham D, Ruderfer DM, Pratt SC, et al (2006) Genome-wide detection of polymorphisms at nucleotide resolution with a single DNA microarray. Science 311:1932–1936

    Google Scholar 

  8. Ronald J, Akey JM, Whittle J, et al (2005) Simultaneous genotyping, gene-expression measurement, and detection of allele-specific expression with oligonucleotide arrays. Genome Res 15:284–291

    Google Scholar 

  9. Gresham D, Curry B, Ward A, et al (2010) Optimized detection of sequence variation in heterozygous genomes using DNA microarrays with isothermal-melting probes. Proc Natl Acad Sci USA 107:1482–1487

    Google Scholar 

  10. Ehrenreich IM, Torabi N, Jia Y, et al (2010) Dissection of genetically complex traits with extremely large pools of yeast segregants. Nature 464:1039–1042

    Google Scholar 

  11. Winzeler EA, Richards DR, Conway AR, et al (1998) Direct allelic variation scanning of the yeast genome. Science 281:1194–1197.

    Google Scholar 

  12. Borevitz JO, Liang D, Plouffe D, et al (2003) Large-scale identification of single-feature polymorphisms in complex genomes. Genome Res 13:513–523

    Google Scholar 

  13. Cutler DJ, Zwick ME, Carrasquillo MM, et al (2001) High-throughput variation detection and genotyping using microarrays. Genome Research 11:1913–1925

    Google Scholar 

  14. Liu WM, Di X, Yang G, et al (2003) Algorithms for large-scale genotyping microarrays, Bioinformatics 19:23972403

    Google Scholar 

  15. SantaLucia J (1998) A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics. Proc Natl Acad Sci USA 95:1460–1465

    Google Scholar 

  16. SantaLucia J, Allawi HT, Seneviratne PA (1996) Improved nearest-neighbor parameters for predicting DNA duplex stability. Biochemistry 35:3555–3562

    Google Scholar 

Download references

Acknowledgments

I thank the labs of David Botstein, Leonid Kruglyak, Maitreya Dunham, and Justin Borevitz where many of these methods were developed. I also thank Bo Curry, Leonardo Brizuela, and Ben Gordon at Agilent Technologies for participation in the initial study of microarray design.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Gresham .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this protocol

Cite this protocol

Gresham, D. (2012). DNA Microarray-Based Mutation Discovery and Genotyping. In: Orgogozo, V., Rockman, M. (eds) Molecular Methods for Evolutionary Genetics. Methods in Molecular Biology, vol 772. Humana Press. https://doi.org/10.1007/978-1-61779-228-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-61779-228-1_10

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-227-4

  • Online ISBN: 978-1-61779-228-1

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics