Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits.

Genetic studies have recently highlighted the importance of fat distribution, as well as overall adiposity, in the pathogenesis of obesity-associated diseases. Using a large study (n = 1,288) from 4 independent cohorts, we aimed to investigate the relationship between mean adipocyte area and obesity...

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Bibliografische gegevens
Hoofdauteurs: Craig A Glastonbury, Sara L Pulit, Julius Honecker, Jenny C Censin, Samantha Laber, Hanieh Yaghootkar, Nilufer Rahmioglu, Emilie Pastel, Katerina Kos, Andrew Pitt, Michelle Hudson, Christoffer Nellåker, Nicola L Beer, Hans Hauner, Christian M Becker, Krina T Zondervan, Timothy M Frayling, Melina Claussnitzer, Cecilia M Lindgren
Formaat: Artikel
Taal:English
Gepubliceerd in: Public Library of Science (PLoS) 2020-08-01
Reeks:PLoS Computational Biology
Online toegang:https://doi.org/10.1371/journal.pcbi.1008044

Internet

https://doi.org/10.1371/journal.pcbi.1008044

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