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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00008726naa a2201129 4500
001oai:DiVA.org:umu-188135
003SwePub
008211005s2021 | |||||||||||000 ||eng|
009oai:lup.lub.lu.se:13d41a4f-7812-4615-8ca3-76bee31b3125
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1881352 URI
0247 a https://doi.org/10.3390/metabo110906312 DOI
0247 a https://lup.lub.lu.se/record/13d41a4f-7812-4615-8ca3-76bee31b31252 URI
040 a (SwePub)umud (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Viallon, Vivianu International Agency for Research on Cancer, World Health Organization4 aut
2451 0a A new pipeline for the normalization and pooling of metabolomics data
264 c 2021-09-17
264 1b MDPI,c 2021
338 a electronic2 rdacarrier
500 a (This article belongs to the Special Issue Metabolomics Meets Epidemiology).
520 a Pooling metabolomics data across studies is often desirable to increase the statistical power of the analysis. However, this can raise methodological challenges as several preanalytical and analytical factors could introduce differences in measured concentrations and variability between datasets. Specifically, different studies may use variable sample types (e.g., serum versus plasma) collected, treated, and stored according to different protocols, and assayed in different laboratories using different instruments. To address these issues, a new pipeline was developed to normalize and pool metabolomics data through a set of sequential steps: (i) exclusions of the least informative observations and metabolites and removal of outliers; imputation of missing data; (ii) identification of the main sources of variability through principal component partial R-square (PC-PR2) analysis; (iii) application of linear mixed models to remove unwanted variability, including samples’ originating study and batch, and preserve biological variations while accounting for potential differences in the residual variances across studies. This pipeline was applied to targeted metabolomics data acquired using Biocrates AbsoluteIDQ kits in eight case-control studies nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Comprehensive examination of metabolomics measurements indicated that the pipeline improved the comparability of data across the studies. Our pipeline can be adapted to normalize other molecular data, including biomarkers as well as proteomics data, and could be used for pooling molecular datasets, for example in international consortia, to limit biases introduced by inter-study variability. This versatility of the pipeline makes our work of potential interest to molecular epidemiologists.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng
653 a Cancer epidemiology
653 a Metabolites
653 a Metabolomics
653 a Normalization
653 a Pooling
653 a Technical variability
653 a Oncology
653 a onkologi
653 a Cancer epidemiology
653 a Metabolites
653 a Metabolomics
653 a Normalization
653 a Pooling
653 a Technical variability
7001 a His, Mathildeu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Rinaldi, Sabinau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Breeur, Marieu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Gicquiau, Audreyu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Hemon, Bertrandu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Overvad, Kimu Aarhus University4 aut
7001 a Tjønneland, Anneu Danish Cancer Society4 aut
7001 a Rostgaard-Hansen, Agnetha Linnu Danish Cancer Society4 aut
7001 a Rothwell, Joseph A.u Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Lecuyer, Lucieu Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Severi, Gianlucau University of Florence,Versailles Saint-Quentin-en-Yvelines University4 aut
7001 a Kaaks, Rudolfu German Cancer Research Centre4 aut
7001 a Johnson, Theronu German Cancer Research Centre4 aut
7001 a Schulze, Matthias B.u University of Potsdam,German Institute of Human Nutrition4 aut
7001 a Palli, Domenicou Institute for Cancer Research, Prevention and Clinical Network (ISPRO)4 aut
7001 a Agnoli, Claudiau Istituto Nazionale dei Tumori4 aut
7001 a Panico, Salvatoreu University of Naples Federico II4 aut
7001 a Tumino, Rosariou Provincial Health Authority (ASP) Ragusa4 aut
7001 a Ricceri, Fulviou University of Turin,Azienda Sanitaria Locale Torino 34 aut
7001 a Monique Verschuren, W.M.u University Medical Center Utrecht,National Institute for Public Health and the Environment (RIVM)4 aut
7001 a Engelfriet, Peteru National Institute for Public Health and the Environment (RIVM)4 aut
7001 a Onland-Moret, Charlotteu University Medical Center Utrecht4 aut
7001 a Vermeulen, Roelu University Medical Center Utrecht,Utrecht University4 aut
7001 a Nøst, Therese Haugdahlu UiT The Arctic University of Norway, Tromsø4 aut
7001 a Urbarova, Ilonau UiT The Arctic University of Norway, Tromsø4 aut
7001 a Zamora-Ros, Raulu Bellvitge Biomedical Research Institute4 aut
7001 a Rodriguez-Barranco, Miguelu Andalusian School Of Public Health (EASP)4 aut
7001 a Amiano, Pilaru Biodonostia Health Research Institute4 aut
7001 a Huerta, José Mariau Murcia Regional Health Council4 aut
7001 a Ardanaz, Evau Health Research Institute of Navarra (IDISNA)4 aut
7001 a Melander, Olleu Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,Skåne University Hospital4 aut0 (Swepub:lu)endo-ome
7001 a Ottoson, Filipu Lund University4 aut
7001 a Vidman, Lindau Umeå University,Umeå universitet,Onkologi4 aut0 (Swepub:umu)livi0018
7001 a Rentoft, Matildau Umeå University,Umeå universitet,Onkologi4 aut0 (Swepub:umu)maaret01
7001 a Schmidt, Julie A.u University of Oxford4 aut
7001 a Travis, Ruth C.u University of Oxford4 aut
7001 a Weiderpass, Elisabeteu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Johansson, Mattiasu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Dossus, Laureu International Agency for Research on Cancer, World Health Organization4 aut
7001 a Jenab, Mazdau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Gunter, Marc J.u International Agency for Research on Cancer, World Health Organization4 aut
7001 a Bermejo, Justo Lorenzou Heidelberg University4 aut
7001 a Scherer, Dominiqueu Heidelberg University4 aut
7001 a Salek, Reza M.u International Agency for Research on Cancer, World Health Organization4 aut
7001 a Keski-Rahkonen, Pekkau International Agency for Research on Cancer, World Health Organization4 aut
7001 a Ferrari, Pietrou International Agency for Research on Cancer, World Health Organization4 aut
7102 a International Agency for Research on Cancer, World Health Organizationb Aarhus University4 org
7730 t Metabolitesd : MDPIg 11:9q 11:9x 2218-1989x 2218-1989
8564 u https://doi.org/10.3390/metabo11090631y Fulltext
8564 u https://umu.diva-portal.org/smash/get/diva2:1600717/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://www.mdpi.com/2218-1989/11/9/631/pdf
8564 u http://dx.doi.org/10.3390/metabo11090631x freey FULLTEXT
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-188135
8564 8u https://doi.org/10.3390/metabo11090631
8564 8u https://lup.lub.lu.se/record/13d41a4f-7812-4615-8ca3-76bee31b3125

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