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- Ameur, Adam, et al.
(author)
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SweGen : a whole-genome data resource of genetic variability in a cross-section of the Swedish population
- 2017
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In: European Journal of Human Genetics. - : NATURE PUBLISHING GROUP. - 1018-4813 .- 1476-5438. ; 25:11, s. 1253-1260
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Journal article (peer-reviewed)abstract
- Here we describe the SweGen data set, a comprehensive map of genetic variation in the Swedish population. These data represent a basic resource for clinical genetics laboratories as well as for sequencing-based association studies by providing information on genetic variant frequencies in a cohort that is well matched to national patient cohorts. To select samples for this study, we first examined the genetic structure of the Swedish population using high-density SNP-array data from a nation-wide cohort of over 10 000 Swedish-born individuals included in the Swedish Twin Registry. A total of 1000 individuals, reflecting a cross-section of the population and capturing the main genetic structure, were selected for whole-genome sequencing. Analysis pipelines were developed for automated alignment, variant calling and quality control of the sequencing data. This resulted in a genome-wide collection of aggregated variant frequencies in the Swedish population that we have made available to the scientific community through the website https://swefreq.nbis.se. A total of 29.2 million single-nucleotide variants and 3.8 million indels were detected in the 1000 samples, with 9.9 million of these variants not present in current databases. Each sample contributed with an average of 7199 individual-specific variants. In addition, an average of 8645 larger structural variants (SVs) were detected per individual, and we demonstrate that the population frequencies of these SVs can be used for efficient filtering analyses. Finally, our results show that the genetic diversity within Sweden is substantial compared with the diversity among continental European populations, underscoring the relevance of establishing a local reference data set.
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| 2. |
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| 3. |
- Näslund, Kalle, et al.
(author)
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Genome-wide prediction of human VNTRs
- 2005
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In: Genomics. - : Elsevier BV. - 0888-7543 .- 1089-8646. ; 85:1, s. 24-35
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Journal article (peer-reviewed)abstract
- Polymorphic minisatellites, also known as variable number of tandem repeats (VNTRs), are tandem repeat regions that show variation in the number of repeat units among chromosomes in a population. Currently, there are no general methods for predicting which minisatellites have a high probability of being polymorphic, given their sequence characteristics. An earlier approach has focused on potentially highly polymorphic and hypervariable minisatellites, which make up only a small fraction of all minisatellites in the human genome. We have developed a model, based on available minisatellite and VNTR sequence data, that predicts the probability that a minisatellite (unit size > or = 6 bp) identified by the computer program Tandem Repeats Finder is polymorphic (VNTR). According to the model, minisatellites with high copy number and high degree of sequence similarity are most likely to be VNTRs. This approach was used to scan the draft sequence of the human genome for VNTRs. A total of 157,549 minisatellite repeats were found, of which 29,224 are predicted to be VNTRs. Contrary to previous results, VNTRs appear to be widespread and abundant throughout the human genome, with an estimated density of 9.1 VNTRs/Mb.
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| 4. |
- Åberg, Karolina, et al.
(author)
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Human QKI, a potential regulator of mRNA expression of human oligodendrocyte-related genes involved in schizophrenia
- 2006
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 103:19, s. 7482-7487
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Journal article (peer-reviewed)abstract
- The quaking viable mouse mutation (qkv) is a deletion including the 5′ regulatory region of the quaking gene (Qki), which causes body tremor and severe dysmyelination in mouse. The function of the human quaking gene, called quaking homolog KH domain RNA-binding (mouse) (QKI), is not well known. We have previously shown that QKI is a new candidate gene for schizophrenia. Here we show that human QKI mRNA levels can account for a high proportion (47%) of normal interindividual mRNA expression variation (and covariation) of six oligodendrocyte-related genes (PLP1, MAG, MBP, TF, SOX10, and CDKN1B) in 55 human brain autopsy samples from individuals without psychiatric diagnoses. In addition, the tightly coexpressed myelin-related genes (PLP1, MAG, and TF) have decreased mRNA levels in 55 schizophrenic patients, as compared with 55 control individuals, and most of this difference (68–96%) can be explained by variation in the relative mRNA levels of QKI-7kb, the same QKI splice variant previously shown to be down-regulated in patients with schizophrenia. Taken together, our results suggest that QKI levels may regulate oligodendrocyte differentiation and maturation in human brain, in a similar way as in mouse. Moreover, we hypothesize that previously observed decreased activity of myelin-related genes in schizophrenia might be caused by disturbed QKI splicing.
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