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FältnamnIndikatorerMetadata
00009010naa a2200613 4500
001oai:lup.lub.lu.se:3600e2c7-70bb-456a-8559-3e63dfeb7312
003SwePub
008200708s2020 | |||||||||||000 ||eng|
009oai:DiVA.org:kth-278673
009oai:DiVA.org:hh-43224
0247 a https://lup.lub.lu.se/record/3600e2c7-70bb-456a-8559-3e63dfeb73122 URI
0247 a https://doi.org/10.1371/journal.pmed.10031492 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2786732 URI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-432242 URI
040 a (SwePub)lud (SwePub)kthd (SwePub)hh
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Atabaki Pasdar, Naeimehu Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, Malmö, Sweden.,Department of Clinical Sciences, Lund University, Malmö, Sweden4 aut0 (Swepub:lu)med-nha
2451 0a Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
264 c 2020-06-19
264 1a San Francisco :b Public Library of Science (PLoS),c 2020
500 a QC 20200720
500 a Funding text: The work leading to this publication has received support from the Innovative Medicines Initiative Joint Undertaking under grant agreement n 115317 (DIRECT), resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2007-2013) and EFPIA companies' in kind contribution. NAP is supported in part by Henning och Johan Throne-Holsts Foundation, Hans Werth?n Foundation, an IRC award from the Swedish Foundation for Strategic Research and a European Research Council award ERC-2015-CoG - 681742_NASCENT. HPM is supported by an IRC award from the Swedish Foundation for Strategic Research and a European Research Council award ERC-2015-CoG - 681742_NASCENT. AGJ is supported by an NIHR Clinician Scientist award (17/0005624). RK is funded by the Novo Nordisk Foundation (NNF18OC0031650) as part of a postdoctoral fellowship, an IRC award from the Swedish Foundation for Strategic Research and a European Research Council award ERC-2015-CoG - 681742_NASCENT. AK, PM, HF, JF and GNG are supported by an IRC award from the Swedish Foundation for Strategic Research and a European Research Council award ERC-2015-CoG - 681742_NASCENT. TJM is funded by an NIHR clinical senior lecturer fellowship. S.Bru acknowledges support from the Novo Nordisk Foundation (grants NNF17OC0027594 and NNF14CC0001). ATH is a Wellcome Trust Senior Investigator and is also supported by the NIHR Exeter Clinical Research Facility. JMS acknowledges support from Science for Life Laboratory (Plasma Profiling Facility), Knut and Alice Wallenberg Foundation (Human Protein Atlas) and Erling-Persson Foundation (KTH Centre for Precision Medicine). MIM is supported by the following grants; Wellcome (090532, 098381, 106130, 203141, 212259); NIH (U01-DK105535). PWF is supported by an IRC award from the Swedish Foundation for Strategic Research and a European Research Council award ERC-2015-CoG - 681742_NASCENT. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
520 a BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD using machine learning. METHODS AND FINDINGS: We utilized the baseline data from IMI DIRECT, a multicenter prospective cohort study of 3,029 European-ancestry adults recently diagnosed with T2D (n = 795) or at high risk of developing the disease (n = 2,234). Multi-omics (genetic, transcriptomic, proteomic, and metabolomic) and clinical (liver enzymes and other serological biomarkers, anthropometry, measures of beta-cell function, insulin sensitivity, and lifestyle) data comprised the key input variables. The models were trained on MRI-image-derived liver fat content (
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Gastroenterologi0 (SwePub)302132 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Gastroenterology and Hepatology0 (SwePub)302132 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
7001 a Ohlsson, Mattiasu Högskolan i Halmstad,Halmstad University,Lund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Genomgår omorganisation,Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Undergoing reorganization,Department of Astronomy and Theoretical Physics - Undergoing reorganization,Faculty of Science,CAISR Centrum för tillämpade intelligenta system (IS-lab),Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden4 aut0 (Swepub:hh)matohl
7001 a Pomares-Millan, Hugou Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)hu7454po
7001 a Koivula, Robertu Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,University of Oxford4 aut0 (Swepub:lu)med-rkl
7001 a Kurbasic, Azrau Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)mats-aku
7001 a Mutie, Pascalu Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)pa4264mu
7001 a Fitipaldi, Hugou Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)hu3745fi
7001 a Fernandez Tajes, Juanu Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)ju3355fe
7001 a Giordano, Nicku Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups4 aut0 (Swepub:lu)med-geg
7001 a Franks, Paulu Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, Malmö, Sweden.;Harvard Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA.4 aut0 (Swepub:lu)med-plf
7001 a Dale, Matildau KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:kth)u1n0viuj
7001 a Thomas, Cecilia Engelu KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:kth)u1ja1scu
7001 a Hong, Mun-Gwanu KTH,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:kth)u19gmsru
7001 a Häussler, Ragna S.u KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab4 aut0 (Swepub:kth)u1izv3pd
7001 a Schwenk, Jochen M.u KTH,Science for Life Laboratory, SciLifeLab,Affinitets-proteomik4 aut0 (Swepub:kth)u1h7wtme
7102 a Genetisk och molekylär epidemiologib Forskargrupper vid Lunds universitet4 org
7102 a et al.
7730 t PLoS Medicined San Francisco : Public Library of Science (PLoS)g 17:6, s. 1003149-1003149q 17:6<1003149-1003149x 1549-1676x 1549-1277
8564 u http://dx.doi.org/10.1371/journal.pmed.1003149x freey FULLTEXT
8564 u https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1003149&type=printable
8564 u https://doi.org/10.1371/journal.pmed.1003149y Fulltext
8564 8u https://lup.lub.lu.se/record/3600e2c7-70bb-456a-8559-3e63dfeb7312
8564 8u https://doi.org/10.1371/journal.pmed.1003149
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278673
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43224

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