- Abstract:
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Metabolic Syndrome (MetS) is highly prevalent and has considerable public health impact, but its underlying genetic factors remain elusive. To identify gene networks involved in MetS, we conducted whole-genome expression and genotype profiling on abdominal (ABD) and gluteal (GLU) adipose tissue, and whole blood (WB), from 29 MetS cases and 44 controls. Co-expression network analysis for each tissue independently identified nine, six, and zero MetS-associated modules of coexpressed genes in AB...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 1.2MB)
-
- Publisher copy:
- 10.1371/journal.pgen.1002505
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- Publisher:
- Public Library of Science Publisher's website
- Journal:
- PLoS genetics Journal website
- Volume:
- 8
- Issue:
- 2
- Pages:
- Article: e1002505
- Publication date:
- 2012-01-01
- DOI:
- EISSN:
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1553-7404
- ISSN:
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1553-7390
- URN:
-
uuid:aae03bfd-de09-4542-a2f7-8a340d027533
- Source identifiers:
-
313015
- Local pid:
- pubs:313015
- Language:
- English
- Keywords:
- Copyright holder:
- Min et al.
- Copyright date:
- 2012
- Notes:
- Copyright 2012 Min et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal article
Coexpression network analysis in abdominal and gluteal adipose tissue reveals regulatory genetic loci for metabolic syndrome and related phenotypes.
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