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Erratum to: A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies.
Lehne, Benjamin; Drong, Alexander W; Loh, Marie; Zhang, Weihua; Scott, William R; Tan, Sian-Tsung; Afzal, Uzma; Schulz, Reiner; Scott, James; Jarvelin, Marjo-Ritta; Elliott, Paul; McCarthy, Mark I; Kooner, Jaspal S; Chambers, John C.
Afiliação
  • Lehne B; Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK. b.lehne@imperial.ac.uk.
  • Drong AW; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Loh M; Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
  • Zhang W; Institute of Health Sciences, University of Oulu, P.O.Box 5000, Oulu, FI-90014, Finland.
  • Scott WR; Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
  • Tan ST; Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.
  • Afzal U; Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
  • Schulz R; National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.
  • Scott J; Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.
  • Jarvelin MR; National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.
  • Elliott P; Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK.
  • McCarthy MI; Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK.
  • Kooner JS; Division of Genetics and Molecular Medicine, King's College London, London, UK.
  • Chambers JC; National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.
Genome Biol ; 17: 73, 2016 Apr 21.
Article em En | MEDLINE | ID: mdl-27103459
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Reino Unido