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Docket #: S13-178

RFMix: A fast, discriminative method for inferring local ancestry and correcting phase errors

Stanford researchers have discovered a fast, discriminative method for inferring local ancestry and correcting phase errors. This local ancestry inference method is both faster and more accurate than the previous state-of-the-art. It has been demonstrated to have high accuracy when inferring sub-continental ancestries, as well as when reference information is sparse. It has also been demonstrated to improve phase estimates.

Applications

  • In medical genetics and trait mapping studies, where local ancestry information can be used to increase statistical power
  • In demography, where local ancestry information can be used to infer the histories of populations

Advantages

  • Fast, accurate, easy to use
  • Simultaneously corrects phase errors in the input data
  • Speed can be increased through parallelization
  • Can use dense whole genome sequencing data
  • Highly accurate in scenarios where other methods do poorly, such as small, low quality, or nonexistent reference panels

Publications

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