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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. Sunyaev
  • N. 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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