SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population
SND-ID: ext0285-1.
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Creator/Principal investigator(s)
Adam Ameur
- Uppsala University
Ulf Gyllensten - Uppsala University, Department of Immunology, Genetics and Pathology
Research principal
Uppsala University
- Department of Immunology, Genetics and Pathology
Description
DNA from blood samples were whole genome sequenced using Illumina X technology at SciLifeLab Uppsala and SciLifeLab Stockholm. The sequencing data was analyzed with the GATK best practices pipeline to obtain a joint called variant frequency dataset. For more information, see: https://www.nature.com/articles/ejhg2017130
Data contains personal data
No
Language
Population
1000 indviduals representing a cross section of the Swedish population
Study design
Observational study
Number of individuals/objects
1000
Data format / data structure
Responsible department/unit
Department of Immunology, Genetics and Pathology
Research area
Medical and health sciences (Standard för svensk indelning av forskningsämnen 2011)
Keywords
Ameur A, Dahlberg J, Olason P, Vezzi F, Karlsson R, Martin M, Viklund J,
Kähäri AK, Lundin P, Che H, Thutkawkorapin J, Eisfeldt J, Lampa S, Dahlberg M,
Hagberg J, Jareborg N, Liljedahl U, Jonasson I, Johansson Å, Feuk L, Lundeberg J,
Syvänen AC, Lundin S, Nilsson D, Nystedt B, Magnusson PK, Gyllensten U. SweGen: a
whole-genome data resource of genetic variability in a cross-section of the
Swedish population. Eur J Hum Genet. 2017 Nov;25(11):1253-1260, doi:10.1038/ejhg.2017.130
DOI:
https://doi.org/10.1038/ejhg.2017.130
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