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A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis.
Rentoft, Matilda; Svensson, Daniel; Sjödin, Andreas; Olason, Pall I; Sjöström, Olle; Nylander, Carin; Osterman, Pia; Sjögren, Rickard; Netotea, Sergiu; Wibom, Carl; Cederquist, Kristina; Chabes, Andrei; Trygg, Johan; Melin, Beatrice S; Johansson, Erik.
Afiliação
  • Rentoft M; Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden.
  • Svensson D; Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden.
  • Sjödin A; Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden.
  • Olason PI; Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden.
  • Sjöström O; Division of CBRN Security and Defence, FOI-Swedish Defence Research Agency, SE Umeå, Sweden.
  • Nylander C; Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, SE Uppsala, Sweden.
  • Osterman P; Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden.
  • Sjögren R; Unit of research, education and development, Region Jämtland Härjedalen, SE Östersund, Sweden.
  • Netotea S; Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden.
  • Wibom C; Department of Medical Biochemistry and Biophysics, Umeå University, SE Umeå, Sweden.
  • Cederquist K; Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden.
  • Chabes A; Computational Life Science Cluster, Department of Chemistry, Umeå University, SE Umeå, Sweden.
  • Trygg J; Science for Life Laboratory, Department of Biology and Biological Engineering, Chalmers University of Technology, SE Göteborg, Sweden.
  • Melin BS; Department of Radiation Sciences, Oncology, Umeå University, SE Umeå, Sweden.
  • Johansson E; Department of Medical Biosciences, Medical and Clinical Genetics, Umeå University, SE Umeå, Sweden.
PLoS One ; 14(3): e0213350, 2019.
Article em En | MEDLINE | ID: mdl-30917156
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Sequenciamento Completo do Genoma / Doenças Genéticas Inatas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Sequenciamento Completo do Genoma / Doenças Genéticas Inatas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Europa Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Suécia País de publicação: Estados Unidos