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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Atabaki Pasdar, Naeimeh (author)
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, Sweden
Ohlsson, Mattias (author)
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, Sweden
Pomares-Millan, Hugo (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
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Koivula, Robert (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,University of Oxford
Kurbasic, Azra (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Mutie, Pascal (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Fitipaldi, Hugo (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Fernandez Tajes, Juan (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Giordano, Nick (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups
Franks, Paul (author)
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.
Dale, Matilda (author)
KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab
Thomas, Cecilia Engel (author)
KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab
Hong, Mun-Gwan (author)
KTH,Science for Life Laboratory, SciLifeLab
Häussler, Ragna S. (author)
KTH,Affinitets-proteomik,Science for Life Laboratory, SciLifeLab
Schwenk, Jochen M. (author)
KTH,Science for Life Laboratory, SciLifeLab,Affinitets-proteomik
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 (creator_code:org_t)
et al 
2020-06-19
2020
English.
In: PLoS Medicine. - San Francisco : Public Library of Science (PLoS). - 1549-1676 .- 1549-1277. ; 17:6, s. 1003149-1003149
Related links:
http://dx.doi.org/10... (free)
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https://doi.org/10.1...
https://lup.lub.lu.s...
https://doi.org/10.1...
https://urn.kb.se/re...
https://urn.kb.se/re...
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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 (

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Gastroenterologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Gastroenterology and Hepatology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

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