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

Abstract:

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-related traits, and identify genetic factors associated with adipocyte cell size. To perform the first large-scale study of automatic adipocyte phenotyping using both histological and genetic data...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1008044

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Role:
Author
ORCID:
0000-0001-5542-2225
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Role:
Author
ORCID:
0000-0002-1592-7023
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Role:
Author
ORCID:
0000-0001-6625-6074
Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
16
Issue:
8
Article number:
1008044
Publication date:
2020-08-14
Acceptance date:
2020-06-11
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pmid:
32797044
Language:
English
Keywords:
Pubs id:
1126563
Local pid:
pubs:1126563
Deposit date:
2020-09-04

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