4.8 Article

Haplotype estimation for biobank-scale data sets

Journal

NATURE GENETICS
Volume 48, Issue 7, Pages 817-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/ng.3583

Keywords

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Funding

  1. Medical Research Council (MRC) [MC_PC_12010]
  2. National Institute for Health Research (NIHR)
  3. ERC [617306]
  4. European Research Council (ERC) [617306] Funding Source: European Research Council (ERC)
  5. MRC [G1000861, MC_PC_12010] Funding Source: UKRI
  6. Medical Research Council [G1000861, MC_qA137853, MC_PC_12010] Funding Source: researchfish

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The UK Biobank (UKB) has recently released genotypes on 152,328 individuals together with extensive phenotypic and lifestyle information. We present a new phasing method, SHAPEIT3, that can handle such biobank-scale data sets and results in switch error rates as low as similar to 0.3%. The method exhibits O(NlogN) scaling with sample size N, enabling fast and accurate phasing of even larger cohorts.

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