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9/1/2014 11:47:00 AM | Browse: 912 | Download: 846
Publication Name World Journal of Diabetes
Manuscript ID 7683
Country United States
Received
2013-11-28 14:35
Peer-Review Started
2013-11-29 12:26
To Make the First Decision
2014-02-13 16:13
Return for Revision
2014-02-17 17:34
Revised
2014-02-21 09:51
Second Decision
2014-03-14 18:21
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2014-03-14 18:34
Articles in Press
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2014-04-11 09:54
Publish the Manuscript Online
2014-04-18 11:34
ISSN 1948-9358 (online)
Open Access
Copyright
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Genetics & Heredity
Manuscript Type Topic Highlights
Article Title Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility
Manuscript Source Invited Manuscript
All Author List Swapan Kumar Das and Neeraj Kumar Sharma
Funding Agency and Grant Number
Funding Agency Grant Number
National Institutes of Health (NIH/NIDDK) R01 DK090111
National Institutes of Health (NIH/NIDDK) R01 DK039311
Corresponding Author Swapan K Das, PhD, Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, NRC Building # E159, Winston-Salem, NC 27157, United States. sdas@wakehealth.edu
Key Words Type 2 diabetes; Single nucleotide polymorphisms; Expression quantitative trait locus; Expression regulatory SNPs; Gene-environment interaction; Genome-wide association study
Core Tip Identification of genetic variants that modulate the susceptibility to disease and elucidating their function at the molecular level is a major focus of type 2 diabetes (T2D) research. This article highlights the utility of expression quantitative trait analysis in discovering regulatory variants that increase susceptibility to T2D by modulating the expression of transcripts in tissues important for glucose homeostasis.
Publish Date 2014-04-18 11:34
Citation Das SK, Sharma NK. Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility. World J Diabetes 2014; 5(2): 97-114
URL http://www.wjgnet.com/1948-9358/full/v5/i2/97.htm
DOI http://dx.doi.org/10.4239/wjd.v5.i2.97
Full Article (PDF) WJD-5-97.pdf
Full Article (Word) WJD-5-97.doc
Manuscript File 7683-Review.doc
Answering Reviewers 7683-Answering reviewers.pdf
Copyright License Agreement 7683-Copyright assignment.pdf
Peer-review Report 7683-Peer review(s).pdf
Scientific Editor Work List 7683-Scientific editor work list.doc