An extensive exercise to map genetic variation in Sweden has found 33 million genetic variants, 10 million of which are novel. Large-scale DNA sequencing methods were used to analyse the whole genome of 1000 individuals from different parts of the country. The study was led by researchers at Uppsala University, who have published their findings in the European Journal of Human Genetics.
"This resource will benefit many national research projects investigating the association between genetic variants and diseases," says Professor Ulf Gyllensten, Uppsala University and SciLifeLab, who has led the project.
The data will also be of immediate use in clinical diagnostics to determine whether a genetic variation in a patient is a cause of disease, or if it is also present among healthy individuals in the population.
"Our study shows the presence of millions of previously unidentified genetic variants in Sweden, the majority of which occur at low frequency in the population. It is crucial to identify these low frequency variants to facilitate the diagnosis of genetic diseases," says Adam Ameur, bioinformatician at Uppsala University and SciLifeLab, who has been responsible for the data analyses.
Several groups at SciLifeLab have been involved in the sequencing of the 1000 DNA samples and in the development of data analysis methods. Very large amounts of data have been generated, over 100 terabytes for the entire project. Integrity and data security have been a high priority since the DNA sequences contain sensitive and personal information about the individuals.
"The resource is freely available, which enables researchers to quickly investigate genetic variant frequencies among the 1000 Swedish individuals. However, a special request must be approved for access to data on individuals, and all processing must be performed within a custom-built computer system with extra high security," says Gyllensten.
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This work is part of SciLifeLab's national project initiative in genomics, which has been made possible by grants from the Knut and Alice Wallenberg Foundation.
The variant frequency data is available from swefreq.nbis.se.
Citation:
Ameur et al. SweGen: a whole-genome data resource of genetic variability in a cross-section of the Swedish population, European Journal of Human Genetics advance online publication 23 August 2017; doi: 10.1038/ejhg.2017.130
Contacts:
Ulf Gyllensten, Professor
Department of Immunology, Genetics and Pathology
Uppsala University and SciLifeLab
46-708-99-34-13
ulf.gyllensten@igp.uu.se
Adam Ameur
bioinformatician, Department of Immunology, Genetics and Pathology
Medical Genetics and Genomics
46-70-425-02-79
adam.ameur@igp.uu.se
Journal
European Journal of Human Genetics