Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

Translated title of the contribution: Extremely low-coverage sequencing and imputation increases power for genome-wide association studies

B. Pasaniuc, N. Rohland, P.J. McLaren, K. Garimella, N. Zaitlen, H. Li, N. Gupta, B.M. Neale, M.J. Daly, P. Sklar, P.F. Sullivan, S. Bergen, J.L. Moran, C.M. Hultman, P. Lichtenstein, P. Magnusson, S.M. Purcell, D.W. Haas, L. Liang, S.R. SunyaevN. Patterson, P.I.W. de Bakker, D. Reich, A.L. Price

Research output: Contribution to journalArticleAcademicpeer-review

Translated title of the contributionExtremely low-coverage sequencing and imputation increases power for genome-wide association studies
Original languageUndefined/Unknown
Pages (from-to)631-635
Number of pages5
JournalNature Genetics
Volume44
Issue number6
Publication statusPublished - 2012

Keywords

  • Econometric and Statistical Methods: General
  • Geneeskunde(GENK)
  • Medical sciences
  • Bescherming en bevordering van de menselijke gezondheid

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