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Maximizing power in association studies

Nature Biotechnology volume 27, pages 255–256 (2009)Cite this article

Only a subset of genetic variants can be examined in genome-wide surveys for genetic risk factors. How can a fixed set of markers account for the entire genome by acting as proxies for neighboring associations?

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Figure 1: TagSNPs and haplotype information can enhance the ability to identify disease-related loci using linkage disequilibrium.

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Acknowledgements

E.H. is a faculty fellow of the Edmond J. Safra Bioinformatics program at Tel Aviv Univerity.

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Authors and Affiliations

  1. and the Computer Science and Biotechnology Departments, Eran Halperin is at the International Computer Science Institute, Berkeley, CA 94704, USA, Tel-Aviv University, Tel-Aviv, 69978, Israel.,

    Eran Halperin

  2. Dietrich A. Stephan is in the Division of Genomics Research, Navigenics, 1001 E. Hillsdale Blvd., Foster City, CA 94404, USA. dietrich@navigenics.com,

    Dietrich A Stephan

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  1. Eran Halperin
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  2. Dietrich A Stephan
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Halperin, E., Stephan, D. Maximizing power in association studies. Nat Biotechnol 27, 255–256 (2009). https://doi.org/10.1038/nbt0309-255

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