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Effect of genetic and environmental factors on protein biomarkers for common non-communicable disease and use of personally normalized plasma protein profiles (PNPPP)
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Medicinsk genetik och genomik.
2015 (English)In: Biomarkers, ISSN 1354-750X, E-ISSN 1366-5804, Vol. 20, no 6-7, 355-364 p.Article in journal (Refereed) Published
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Text
Abstract [en]

Objective: To study the impact of genetic and lifestyle factors on protein biomarkers and develop personally normalized plasma protein profiles (PNPPP) controlling for non-disease-related variance.Materials and methods: Proximity extension assays were used to measure 145 proteins in 632 controls and 344 cases with non-communicable diseases.Results: Genetic and lifestyle factors explained 20-88% of the variation in healthy controls. Adjusting for these factors reduced the number of candidate biomarkers by 63%.Conclusion: PNPPP efficiently controls for non-disease-related variance, allowing both for efficient discovery of novel biomarkers and for covariate-independent linear cut-offs suitable for clinical use.

Place, publisher, year, edition, pages
2015. Vol. 20, no 6-7, 355-364 p.
Keyword [en]
Non-communicable diseases, normalization, plasma protein biomarkers, proximity extension assay
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
URN: urn:nbn:se:uu:diva-271044DOI: 10.3109/1354750X.2015.1093546ISI: 000365651700002PubMedID: 26551787OAI: oai:DiVA.org:uu-271044DiVA: diva2:891092
Funder
Swedish National Infrastructure for Computing (SNIC), b2011203Swedish National Infrastructure for Computing (SNIC), p2013140
Available from: 2016-01-05 Created: 2016-01-05 Last updated: 2017-12-01Bibliographically approved

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Enroth, StefanEnroth, Sofia BosdotterJohansson, ÅsaGyllensten, Ulf

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Enroth, StefanEnroth, Sofia BosdotterJohansson, ÅsaGyllensten, Ulf
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Medicinsk genetik och genomikCardiovascular epidemiology
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Biomarkers
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

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