Iam hiQ—a novel pair of accuracy indices for imputed genotypes

Rosenberger, A., Tozzi, V., Bickeböller, H. et al. (38 more authors) (2022) Iam hiQ—a novel pair of accuracy indices for imputed genotypes. BMC Bioinformatics, 23 (1). 50.



  • Rosenberger, A.
  • Tozzi, V.
  • Bickeböller, H.
  • Hung, R.J.
  • Christiani, D.C.
  • Caporaso, N.E.
  • Liu, G.
  • Bojesen, S.E.
  • Le Marchand, L.
  • Albanes, D.
  • Aldrich, M.C.
  • Tardon, A.
  • Fernández-Tardón, G.
  • Rennert, G.
  • Field, J.K.
  • Davies, M.
  • Liloglou, T.
  • Kiemeney, L.A.
  • Lazarus, P.
  • Haugen, A.
  • Zienolddiny, S.
  • Lam, S.
  • Schabath, M.B.
  • Andrew, A.S.
  • Duell, E.J.
  • Arnold, S.M.
  • Brunnström, H.
  • Melander, O.
  • Goodman, G.E.
  • Chen, C.
  • Doherty, J.A.
  • Teare, M.D.
  • Cox, A.
  • Woll, P.J. ORCID logo https://orcid.org/0000-0002-1118-0831
  • Risch, A.
  • Muley, T.R.
  • Johansson, M.
  • Brennan, P.
  • Landi, M.T.
  • Shete, S.S.
  • Amos, C.I.
Copyright, Publisher and Additional Information: © 2022 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Keywords: GWAS; High-throughput genotyping; Genotype imputation; Accuracy measures
  • Accepted: 27 December 2021
  • Published (online): 24 January 2022
  • Published: 24 January 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Feb 2022 09:31
Last Modified: 07 Feb 2022 09:31
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1186/s12859-022-04568-3