SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Krestyaninova Maria) "

Sökning: WFRF:(Krestyaninova Maria)

  • Resultat 1-5 av 5
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Spjuth, Ola, et al. (författare)
  • Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research.
  • 2015
  • Ingår i: European Journal of Human Genetics. - Nature Publishing Group. - 1476-5438.
  • Tidskriftsartikel (refereegranskat)abstract
    • A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate global searching of available samples for research. The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. We used the Sample avAILability (SAIL) method for data linking: first, created harmonised variables and then annotated and made searchable information on the number of specimens available in individual biobanks for various phenotypic categories. By operating on this categorised availability data we sidestep many obstacles related to privacy that arise when handling real values and show that harmonised and annotated records about data availability across disparate biomedical archives provide a key methodological advance in pre-analysis exchange of information between biobanks, that is, during the project planning phase.European Journal of Human Genetics advance online publication, 26 August 2015; doi:10.1038/ejhg.2015.165.
2.
  • Grundberg, Elin, et al. (författare)
  • Mapping cis- and trans-regulatory effects across multiple tissues in twins.
  • 2012
  • Ingår i: Nature Genetics. - 1061-4036 .- 1546-1718. ; 44:10
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>Sequence-based variation in gene expression is a key driver of disease risk. Common variants regulating expression in cis have been mapped in many expression quantitative trait locus (eQTL) studies, typically in single tissues from unrelated individuals. Here, we present a comprehensive analysis of gene expression across multiple tissues conducted in a large set of mono- and dizygotic twins that allows systematic dissection of genetic (cis and trans) and non-genetic effects on gene expression. Using identity-by-descent estimates, we show that at least 40% of the total heritable cis effect on expression cannot be accounted for by common cis variants, a finding that reveals the contribution of low-frequency and rare regulatory variants with respect to both transcriptional regulation and complex trait susceptibility. We show that a substantial proportion of gene expression heritability is trans to the structural gene, and we identify several replicating trans variants that act predominantly in a tissue-restricted manner and may regulate the transcription of many genes.</p>
  •  
3.
  • Nicholson, George, et al. (författare)
  • A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection
  • 2011
  • Ingår i: PLoS genetics. - 1553-7404. ; 7:9, s. e1002270
  • Tidskriftsartikel (refereegranskat)abstract
    • <p>We have performed a metabolite quantitative trait locus (mQTL) study of the <sup>1</sup>H nuclear magnetic resonance spectroscopy (<sup>1</sup>H NMR) metabolome in humans, building on recent targeted knowledge of genetic drivers of metabolic regulation. Urine and plasma samples were collected from two cohorts of individuals of European descent, with one cohort comprised of female twins donating samples longitudinally. Sample metabolite concentrations were quantified by <sup>1</sup>H NMR and tested for association with genome-wide single-nucleotide polymorphisms (SNPs). Four metabolites' concentrations exhibited significant, replicable association with SNP variation (8.6×10<sup>−11</sup>&lt;<em>p</em>&lt;2.8×10<sup>−23</sup>). Three of these—trimethylamine, 3-amino-isobutyrate, and an <em>N</em>-acetylated compound—were measured in urine. The other—dimethylamine—was measured in plasma. Trimethylamine and dimethylamine mapped to a single genetic region (hence we report a total of three implicated genomic regions). Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes <em>NAT8</em> and <em>PYROXD2</em>, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. The study's longitudinal twin design allowed detailed variance-components analysis of the sources of population variation in metabolite levels. The mQTLs explained 40%–64% of biological population variation in the corresponding metabolites' concentrations. These effect sizes are stronger than those reported in a recent, targeted mQTL study of metabolites in serum using the targeted-metabolomics Biocrates platform. By re-analysing our plasma samples using the Biocrates platform, we replicated the mQTL findings of the previous study and discovered a previously uncharacterized yet substantial familial component of variation in metabolite levels in addition to the heritability contribution from the corresponding mQTL effects.</p>
  •  
4.
  • Prokopenko, Inga, et al. (författare)
  • Variants in MTNR1B influence fasting glucose levels
  • 2009
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1546-1718. ; 41:1, s. 77-81
  • Tidskriftsartikel (refereegranskat)abstract
    • To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.
  •  
5.
  • Spjuth, Ola, 1977-, et al. (författare)
  • Data Integration between Swedish National Clinical Health Registries and Biobanks Using an Availability System
  • 2014
  • Ingår i: Data Integration in the Life Sciences. - Springer International Publishing. - 978-3-319-08589-0 ; s. 32-40
  • Bokkapitel (refereegranskat)abstract
    • <p>Linking biobank data, such as molecular profiles, with clinical phenotypes is of great importance in epidemiological and predictive studies. A comprehensive overview of various data sources that can be combined in order to power up a study is a key factor in the design. Clinical data stored in health registries and biobank data in research projects are commonly provisioned in different database systems and governed by separate organizations, making the integration process challenging and hampering biomedical investigations. We here describe the integration of data on prostate cancer from a clinical health registry with data from a biobank, and its provisioning in the SAIL availability system. We demonstrate the implications of using the actual raw data, data transformed to availability data, and availability data which has been subjected to anonymization techniques to reduce the risk of re-identification. Our results show that an availability system such as SAIL with integrated clinical and biobank data can be a valuable tool for planning new studies and finding interesting subsets to investigate further. We also show that an availability system can deliver useful insights even when the data has been subjected to anonymization techniques.</p>
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-5 av 5
 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy