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Rapid pulsed whole genome sequencing for comprehensive acute diagnostics of inborn errors of metabolism

Stranneheim, Henrik (author)
Karolinska Institutet
Engvall, Martin (author)
Karolinska Institutet
Naess, Karin (author)
Karolinska Institutet
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Lesko, Nicole (author)
Karolinska Institutet
Larsson, Pontus (author)
Stockholms universitet,Institutionen för biokemi och biofysik
Dahlberg, Mats (author)
Stockholms universitet,Institutionen för biokemi och biofysik
Andeer, Robin (author)
Wredenberg, Anna (author)
Freyer, Chris (author)
Barbaro, Michela (author)
Karolinska Institutet
Bruhn, Helene (author)
Karolinska Institutet
Emahazion, Tesfail (author)
Magnusson, Måns (author)
Karolinska Institutet
Wibom, Rolf (author)
Karolinska Institutet
Zetterström, Rolf H. (author)
Karolinska Institutet
Wirta, Valtteri (author)
Karolinska Institutet,KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
von Döbeln, Ulrika (author)
Karolinska Institutet
Wedell, Anna (author)
Karolinska Institutet
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 (creator_code:org_t)
Springer Science and Business Media LLC, 2014
2014
English.
In: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 15, s. 1090-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinsk bioteknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Medical Biotechnology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinsk bioteknologi -- Medicinsk bioteknologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Medical Biotechnology -- Medical Biotechnology (hsv//eng)

Keyword

Bioinformatics
Clinical diagnosis
Inborn Errors of Metabolism
Mendelian disease
MPS
WGS

Publication and Content Type

ref (subject category)
art (subject category)

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