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- Stranneheim, Henrik, et al.
(författare)
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Rapid pulsed whole genome sequencing for comprehensive acute diagnostics of inborn errors of metabolism
- 2014
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Ingår i: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 15, s. 1090-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Massively parallel DNA sequencing (MPS) has the potential to revolutionize diagnostics, in particular for monogenic disorders. Inborn errors of metabolism (IEM) constitute a large group of monogenic disorders with highly variable clinical presentation, often with acute, nonspecific initial symptoms. In many cases irreversible damage can be reduced by initiation of specific treatment, provided that a correct molecular diagnosis can be rapidly obtained. MPS thus has the potential to significantly improve both diagnostics and outcome for affected patients in this highly specialized area of medicine. Results: We have developed a conceptually novel approach for acute MPS, by analysing pulsed whole genome sequence data in real time, using automated analysis combined with data reduction and parallelization. We applied this novel methodology to an in-house developed customized work flow enabling clinical-grade analysis of all IEM with a known genetic basis, represented by a database containing 474 disease genes which is continuously updated. As proof-of-concept, two patients were retrospectively analysed in whom diagnostics had previously been performed by conventional methods. The correct disease-causing mutations were identified and presented to the clinical team after 15 and 18 hours from start of sequencing, respectively. With this information available, correct treatment would have been possible significantly sooner, likely improving outcome. Conclusions: We have adapted MPS to fit into the dynamic, multidisciplinary work-flow of acute metabolic medicine. As the extent of irreversible damage in patients with IEM often correlates with timing and accuracy of management in early, critical disease stages, our novel methodology is predicted to improve patient outcome. All procedures have been designed such that they can be implemented in any technical setting and to any genetic disease area. The strategy conforms to international guidelines for clinical MPS, as only validated disease genes are investigated and as clinical specialists take responsibility for translation of results. As follow-up in patients without any known IEM, filters can be lifted and the full genome investigated, after genetic counselling and informed consent.
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- Lindqvist, C Mårten, et al.
(författare)
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The Mutational Landscape in Pediatric Acute Lymphoblastic Leukemia Deciphered by Whole Genome Sequencing
- 2015
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 36:1, s. 118-128
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Tidskriftsartikel (refereegranskat)abstract
- Genomic characterization of pediatric acute lymphoblastic leukemia (ALL) has identified distinct patterns of genes and pathways altered in patients with well-defined genetic aberrations. To extend the spectrum of known somatic variants in ALL, we performed whole genome and transcriptome sequencing of three B-cell precursor patients, of which one carried the t(12;21)ETV6-RUNX1 translocation and two lacked a known primary genetic aberration, and one T-ALL patient. We found that each patient had a unique genome, with a combination of well-known and previously undetected genomic aberrations. By targeted sequencing in 168 patients, we identified KMT2D and KIF1B as novel putative driver genes. We also identified a putative regulatory non-coding variant that coincided with overexpression of the growth factor MDK. Our results contribute to an increased understanding of the biological mechanisms that lead to ALL and suggest that regulatory variants may be more important for cancer development than recognized to date. The heterogeneity of the genetic aberrations in ALL renders whole genome sequencing particularly well suited for analysis of somatic variants in both research and diagnostic applications.
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| 5. |
- Muhrman, Karolina, 1976-, et al.
(författare)
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Uppgiftsbanken : Gymnasieskola, modul: Undervisa matematik på yrkesprogram
- 2015
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Denna uppgiftsbank innehåller uppgifter med varierat innehåll och svårighetsgrad. Uppgifterna är av varierande karaktär och uppfyller i olika grad kriterierna från checklistan i texten ”Att konstruera matematikuppgifter på yrkesprogram”. Uppgifterna kan användas i undervisningen eller fungera som ett diskussionsunderlag vid utveckling av infärgade uppgifter. Studera gärna uppgifterna tillsammans med yrkeslärare.Till uppgifterna finns stöd för hur man kan planera och arbeta med uppgifterna i klassrummet. Det finns kopplingar till centralt innehåll i Matematik 1a, yrkesämnenas centrala innehåll och examensmålen för yrkesprogrammen. Eftersom kurserna i yrkesämnena läggs ut lokalt finns det ingen samstämmighet i vilken ordning och under vilken termin de läses på olika skolor. Det kan därför vara så att det centrala innehåll i yrkesämnena inte är aktuellt just då men det kan ändå vara bra för eleverna att känna till det. Till några av uppgifterna ges för slag på hur man kan variera eller utveckla dem. I modulen Undervisa matematik på yrkesprogram del 5: Modellering och problemlösning finns några förslag på hur uppgifterna kan göras till Fermiproblem.I Skolverkets bedömningsportal finns uppgifter för yrkesprogram. En del av uppgifterna är lösenordsskyddade. För att komma åt det skyddade materialet behövs inloggningsuppgifter och behörighet till ämnet eller kursen. Information om hur du som lärare får inloggningsuppgifter har skickats till rektorn på din skola. Du hittar bedömningsportalen här: https://bp.skolverket.se/.
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| 6. |
- Nordlund, Jessica, et al.
(författare)
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DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia
- 2015
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Ingår i: Clinical Epigenetics. - : Springer Science and Business Media LLC. - 1868-7083 .- 1868-7075. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- Background: We present a method that utilizes DNA methylation profiling for prediction of the cytogenetic subtypes of acute lymphoblastic leukemia (ALL) cells from pediatric ALL patients. The primary aim of our study was to improve risk stratification of ALL patients into treatment groups using DNA methylation as a complement to current diagnostic methods. A secondary aim was to gain insight into the functional role of DNA methylation in ALL. Results: We used the methylation status of similar to 450,000 CpG sites in 546 well-characterized patients with T-ALL or seven recurrent B-cell precursor ALL subtypes to design and validate sensitive and accurate DNA methylation classifiers. After repeated cross-validation, a final classifier was derived that consisted of only 246 CpG sites. The mean sensitivity and specificity of the classifier across the known subtypes was 0.90 and 0.99, respectively. We then used DNA methylation classification to screen for subtype membership of 210 patients with undefined karyotype (normal or no result) or non-recurrent cytogenetic aberrations('other' subtype). Nearly half (n = 106) of the patients lacking cytogenetic subgrouping displayed highly similar methylation profiles as the patients in the known recurrent groups. We verified the subtype of 20% of the newly classified patients by examination of diagnostic karyotypes, array-based copy number analysis, and detection of fusion genes by quantitative polymerase chain reaction (PCR) and RNA-sequencing (RNA-seq). Using RNA-seq data from ALL patients where cytogenetic subtype and DNA methylation classification did not agree, we discovered several novel fusion genes involving ETV6, RUNX1, and PAX5. Conclusions: Our findings indicate that DNA methylation profiling contributes to the clarification of the heterogeneity in cytogenetically undefined ALL patient groups and could be implemented as a complementary method for diagnosis of ALL. The results of our study provide clues to the origin and development of leukemic transformation. The methylation status of the CpG sites constituting the classifiers also highlight relevant biological characteristics in otherwise unclassified ALL patients.
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